Beyond the Obvious: Harnessing Generative AI to Analyze Quantitative Survey Data, both Current and Historic
•
0 gefällt mir•31 views
Presented at Quirk's Chicago on 27 March 2024 together with Hotspex. We illustrate how AI technology can not only analyze but also interprets data–beyond basic mathematical functions–to surface patterns out of reach of manual data analysis. The full abstract of this talk is available at https://thequirksevent.com/chicago-2024/sessions/beyond-the-obvious-harnessing-generative-ai-to-analyze-quantitative-survey-data-both-current-and-historic/ and a quick video overview together with sample use cases is available at https://www.inspirient.com/ai/
Melden
Teilen
Melden
Teilen
Downloaden Sie, um offline zu lesen
Empfohlen
Cloudian 451-hortonworks - webinar
Join Cloudian, Hortonworks and 451 Research for a panel-style Q&A discussion about the latest trends and technology innovations in Big Data and Analytics. Matt Aslett, Data Platforms and Analytics Research Director at 451 Research, John Kreisa, Vice President of Strategic Marketing at Hortonworks, and Paul Turner, Chief Marketing Officer at Cloudian, will answer your toughest questions about data storage, data analytics, log data, sensor data and the Internet of Things. Bring your questions or just come and listen!
Insights beyond Human Intuition: Comprehensively Mining Survey Data
1) The document discusses how Kantar Public partnered with Inspirient to automate the analysis of survey data using artificial intelligence. This allows for more comprehensive and efficient analysis while freeing up researchers to focus on higher-level work.
2) Inspirient's AI system uses over 420 custom classifiers to autonomously apply analytical reasoning techniques to survey data similar to how a computer evaluates chess moves.
3) The partnership aims to improve deliverables for clients by providing quick insights and advanced analytical methods at scale while maintaining high data quality standards and auditability of results.
GraphSummit Paris - The art of the possible with Graph Technology
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Project Insights for Data Driven Decisions
Projects are dynamic. Staying ahead of the curve means having real-time access to your project data and it’s leading indicators for actionable intelligence. A real-time, flexible platform Tivitie Insights service enables organizations to visualize critical Microsoft Project Online data in real-time, spot trends as they occur and produce actionable facts for better decision making in a fraction of the time.
How to make your data scientists happy
Enabling data scientists within an enterprise requires a well-thought out approach from an organization, technology, and business results perspective. In this talk, Tim and Hussain will share common pitfalls to data science enablement in the enterprise and provide their recommendations to avoid them. Taking an example, actionable use case from the financial services industry, they will focus on how Anaconda plays a pivotal role in setting up big data infrastructure, integrating data science experimentation and production environments, and deploying insights to production. Along the way, they will highlight opportunities for leveraging open source and unleashing data science teams while meeting regulatory and compliance challenges.
Data Discovery and BI - Is there Really a Difference?
The Briefing Room with John O'Brien and Birst
Live Webcast Dec. 3, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7869542&rKey=1f6574abc879ca42
While the disciplines of business intelligence and discovery certainly overlap, there are key distinctions between the two, both in terms of design point and user interface. While traditionally it is believed different architectures are required to address these differing analytic needs, is that really the case? Or is discovery simply another key capability within an overall BI platform?
Register for this episode of The Briefing Room to learn from veteran Analyst John O'Brien of Radiant Advisors as he outlines best practices for enabling high-quality business intelligence and discovery, and the architectural capabilities to enable both. He'll be briefed by Brad Peters of Birst who will tout his company's cloud BI platform. In particular, Peters will demonstrate how the Birst architecture was especially designed for enterprise-caliber BI and argue for a more inclusive future BI architecture.
Visit InsideAnalysis.com for more information
Workshop - Architecting Innovative Graph Applications- GraphSummit Milan
Workshop 1. Architecting Innovative Graph Applications
Join this hands-on workshop for beginners led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.
Analyze billions of records on Salesforce App Cloud with BigObject
Salesforce hosts billions of customer records on Salesforce App Cloud. Making timely decisions on this invaluable data demands a new set of capabilities. From interacting with data in real-time to leveraging a fluid integration with Salesforce Analytics, these capabilities are just around the corner. Join us in this roadmap session to see what the near-future of Big Data on Salesforce App Cloud looks like and how you can benefit from it.
Key Takeaways
- Learn what 100 billion+ records on the Salesforce App Cloud could actually mean to you.
- Understand new services such as AsyncSOQL that can can deliver reliable, resilient query capabilities over your sObjects and BigObjects.
-Gain insights for large scale federated data filtering and aggregation.
-Transform data movement so all your customer records are available across their life cycle.
Intended Audience
This session is for Salesforce Administrators, Developers, Architects and just about anyone who wants to learn more about BigObjects!
Empfohlen
Cloudian 451-hortonworks - webinar
Join Cloudian, Hortonworks and 451 Research for a panel-style Q&A discussion about the latest trends and technology innovations in Big Data and Analytics. Matt Aslett, Data Platforms and Analytics Research Director at 451 Research, John Kreisa, Vice President of Strategic Marketing at Hortonworks, and Paul Turner, Chief Marketing Officer at Cloudian, will answer your toughest questions about data storage, data analytics, log data, sensor data and the Internet of Things. Bring your questions or just come and listen!
Insights beyond Human Intuition: Comprehensively Mining Survey Data
1) The document discusses how Kantar Public partnered with Inspirient to automate the analysis of survey data using artificial intelligence. This allows for more comprehensive and efficient analysis while freeing up researchers to focus on higher-level work.
2) Inspirient's AI system uses over 420 custom classifiers to autonomously apply analytical reasoning techniques to survey data similar to how a computer evaluates chess moves.
3) The partnership aims to improve deliverables for clients by providing quick insights and advanced analytical methods at scale while maintaining high data quality standards and auditability of results.
GraphSummit Paris - The art of the possible with Graph Technology
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Project Insights for Data Driven Decisions
Projects are dynamic. Staying ahead of the curve means having real-time access to your project data and it’s leading indicators for actionable intelligence. A real-time, flexible platform Tivitie Insights service enables organizations to visualize critical Microsoft Project Online data in real-time, spot trends as they occur and produce actionable facts for better decision making in a fraction of the time.
How to make your data scientists happy
Enabling data scientists within an enterprise requires a well-thought out approach from an organization, technology, and business results perspective. In this talk, Tim and Hussain will share common pitfalls to data science enablement in the enterprise and provide their recommendations to avoid them. Taking an example, actionable use case from the financial services industry, they will focus on how Anaconda plays a pivotal role in setting up big data infrastructure, integrating data science experimentation and production environments, and deploying insights to production. Along the way, they will highlight opportunities for leveraging open source and unleashing data science teams while meeting regulatory and compliance challenges.
Data Discovery and BI - Is there Really a Difference?
The Briefing Room with John O'Brien and Birst
Live Webcast Dec. 3, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7869542&rKey=1f6574abc879ca42
While the disciplines of business intelligence and discovery certainly overlap, there are key distinctions between the two, both in terms of design point and user interface. While traditionally it is believed different architectures are required to address these differing analytic needs, is that really the case? Or is discovery simply another key capability within an overall BI platform?
Register for this episode of The Briefing Room to learn from veteran Analyst John O'Brien of Radiant Advisors as he outlines best practices for enabling high-quality business intelligence and discovery, and the architectural capabilities to enable both. He'll be briefed by Brad Peters of Birst who will tout his company's cloud BI platform. In particular, Peters will demonstrate how the Birst architecture was especially designed for enterprise-caliber BI and argue for a more inclusive future BI architecture.
Visit InsideAnalysis.com for more information
Workshop - Architecting Innovative Graph Applications- GraphSummit Milan
Workshop 1. Architecting Innovative Graph Applications
Join this hands-on workshop for beginners led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.
Analyze billions of records on Salesforce App Cloud with BigObject
Salesforce hosts billions of customer records on Salesforce App Cloud. Making timely decisions on this invaluable data demands a new set of capabilities. From interacting with data in real-time to leveraging a fluid integration with Salesforce Analytics, these capabilities are just around the corner. Join us in this roadmap session to see what the near-future of Big Data on Salesforce App Cloud looks like and how you can benefit from it.
Key Takeaways
- Learn what 100 billion+ records on the Salesforce App Cloud could actually mean to you.
- Understand new services such as AsyncSOQL that can can deliver reliable, resilient query capabilities over your sObjects and BigObjects.
-Gain insights for large scale federated data filtering and aggregation.
-Transform data movement so all your customer records are available across their life cycle.
Intended Audience
This session is for Salesforce Administrators, Developers, Architects and just about anyone who wants to learn more about BigObjects!
Building a New Platform for Customer Analytics
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs.
Analytical Innovation: How to Build the Next Generation Data Platform
There was a time when the Enterprise Data Warehouse (EDW) was the only way to provide a 360-degree analytical view of the business. In recent years many organizations have deployed disparate analytics alternatives to the EDW, including: cloud data warehouses, machine learning frameworks, graph databases, geospatial tools, and other technologies. Often these new deployments have resulted in the creation of analytical silos that are too complex to integrate, seriously limiting global insights and innovation.
Join guest speaker, 451 Research’s Jim Curtis and Pivotal’s Jacque Istok for an interactive discussion about some of the overarching trends affecting the data warehousing market, as well as how to build a next generation data platform to accelerate business innovation. During this webinar you will learn:
- The significance of a multi-cloud, infrastructure-agnostic analytics
- What is working and what isn’t, when it comes to analytics integration
- The importance of seamlessly integrating all your analytics in one platform
- How to innovate faster, taking advantage of open source and agile software
Speakers: James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research & Jacque Istok, Head of Data, Pivotal
20220205 Getting started with power bi
#History of #PowerBI
Introduction of #DigitalTransformation
Introduction of #PowerPlatform and how #PowerBI fits in.
Building Blocks of #PowerBI
Showed a #real-life scenario
Complementing Political / Social Research with AI for a Deeper Understanding ...
Presented at the Bitkom Big-Data.AI Summit on 14 September 2022 together with Kantar Public. We discuss how AI technology was used to automate survey analytics at Kantar Public Germany, and detail key business benefits such as improved efficiency, quick deliverables to the client, and advanced data validation and analysis.
This work is part of Kantar Public's Public Data Innovation Hub (https://www.kantarpublic.com/de/Unsere-Expertise/daten-und-fakten/public-data-innovation-hub). Supporting write-ups are available at https://www.inspirient.com/case-studies/survey_analysis_automation.php and https://www.inspirient.com/case-studies/survey_quality_assurance.php
Full abstract at https://big-data.ai/programme#Complementing-PoliticalSocial-Research-with-AI-for-a-Deeper-Understanding-of-Society
Worst Practices in Artificial Intelligence
In this talk I discuss six "worst practices" in Artificial Intelligence, so that you don't make the same mistakes as you embark on your AI and Machine Learning journey!
The full talk (in cantonese) is here: https://youtu.be/NIIztmpA6Hc?t=1172
Knowledge Graphs Webinar- 11/7/2017
The document discusses knowledge graphs and provides examples of how Neo4j has been used by customers for knowledge graph and graph database applications. Specifically, it discusses how Neo4j has helped organizations like Itau Unibanco, UBS, Airbnb, Novartis, Columbia University, Telia, Scripps Networks, and Pitney Bowes with fraud detection, master data management, content management, smart home applications, investigative journalism, and other use cases by building knowledge graphs and connecting diverse data sources.
Power BI Overview
This document provides an overview of Power BI, including:
- A history of Power BI and its tools over time from 2009 to present day.
- An overview of the different Power BI tools for preparing, building, exploring and reporting on data.
- How Power BI fits into the broader business intelligence ecosystem for preparing, modeling, visualizing and sharing data and reports.
- The capabilities Power BI provides for analysts, IT professionals and business users.
Moving Targets: Harnessing Real-time Value from Data in Motion
The Briefing Room with David Loshin and Datawatch
Live Webcast Feb. 17, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=4a053043c45cf0c2f6453dfb8577c72a
Patience may be a virtue, but when it comes to streaming analytics, waiting is no option. Between Big Data and the Internet of Things, businesses are faced with more data and greater complexity than ever before. Traditional information architectures simply cannot support the kind of processing necessary to make use of this fast-moving resource. The modern context requires a shorter path to analytics, one that narrows the gap between governance and discovery
Register for this episode of The Briefing Room to hear veteran Analyst David Loshin as he explains how the prevalence of streaming data is changing business pace and processes. He’ll be briefed by Dan Potter of Datawatch, who will tout his company’s real-time data discovery platform for data in motion. He will show how self-service data preparation can lead to faster insights, ultimately fostering the ability to make precise decisions at the right time.
Visit InsideAnalysis.com for more information.
18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a Service
Title: Timeseries Forecasting as a Service
Speaker: Thanassis Spyrou (https://linkedin.com/in/thanassis-spyrou-92911959/)
Date: Thursday, November 14, 2019
Event: https://meetup.com/Athens-Big-Data/events/265957761/
Modern Product Data Workflows: Iterate Your Way to a Top Product Experience
Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management.
Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience. Haarthi Sadasivam, Technical Product Marketing Manager at Looker will join the conversation on best practices.
Modern Product Data Workflows: Iterate Your Way to a Top Analytics Product Ex...
Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management. Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience. Haarthi Sadasivam, Technical Product Marketing Manager at Looker will join the conversation on best practices.
Continuum Analytics and Python
Talk given to the Philly Python Users Group (PUG) on October 1, 2015: http://www.meetup.com/phillypug/ Thanks SIG (http://www.sig.com) for hosting!
A Big (Query) Frog in a Small Pond, Jakub Motyl, BuffPanel
How does one process 200GB of streaming raw data, daily? Where dedicated servers and home-made solutions fail, BigQuery comes out the victor. We will talk about the big data architecture with over 110 million players total on record, how we managed to implement it, and how is it possible that we keep daily operational costs under $50.
In the beginning we will explain what kinds of data sources a top-selling game has to integrate and analyze and how to pre-process the data to avoid ramping up costs in disaster scenarios. Part of the talk is also dedicated to all the components that are involved in the many transformations the data undergoes and we will show you how the output from the entire pipeline looks.
Product Management 101 for Data and Analytics
This deck was from the talk at InfoVision summit where the speaker walks through 10 tips for creating effective data and analytics products.
AI Solutions for Industries
Empowering Industries with Artificial Intelligence Solutions. At byteLAKE, we harness cutting-edge technology to provide advanced quality inspection and data insights tailored for the Manufacturing, Automotive, Paper, Chemical, and Energy sectors. Additionally, we offer self-checkout stations for Restaurants and object recognition solutions for Retail businesses.
Explore our featured products:
► byteLAKE's CFD Suite: Accelerate your Computational Fluid Dynamics (CFD) simulations by leveraging the speed and efficiency of artificial intelligence. Slash simulation times, minimize trial-and-error costs, and supercharge decision-making for heightened productivity. Learn more at www.byteLAKE.com/en/CFDSuite.
► byteLAKE's Cognitive Services: Unlock the full potential of Industry 4.0 with our comprehensive suite of AI solutions.
• Manufacturing: Employ image analytics for precise visual inspection of processes, parts, components, and products, ensuring impeccable quality control and minimizing errors. Learn more at www.byteLAKE.com/en/manufacturing.
• Automotive: Harness sound analytics to assess and analyze the quality of car engines, enabling proactive maintenance and preventing potential issues. Discover more at www.byteLAKE.com/en/automotive.
• Paper Industry: Implement advanced cameras to continuously monitor the papermaking process, accurately detecting and analyzing the wet line. Optimize production, reduce waste, and enhance efficiency. Explore further at www.byteLAKE.com/en/paper.
• Data Insights: Leverage our AI module for advanced predictive maintenance, detecting risky situations and triggering alarms. Seamlessly turn data from various sources (IoT sensors, documents, online weather forecasts, etc.) into actionable information for better decisions. Learn more at: www.byteLAKE.com/en/DataInsights.
• Restaurants / Retail: Simplify and expedite the checkout process with our solution for self-checkout stations. Our AI module can recognize meals and groceries effortlessly, sending the list directly to the cashier's machine for efficient self-checkout. Shorten queues and wait times, elevating customer satisfaction. Learn more at www.byteLAKE.com/en/AI4Restaurants.
Experience the future of AI-driven excellence. Discover more about byteLAKE's Cognitive Services at www.byteLAKE.com/en/CognitiveServices.
► Custom AI Software Development: Choose from our range of AI services, including AI Workshops with inspiring case studies and insights, Edge AI for real-time analytics on images, videos, sounds, and time-series data, Cognitive Automation for the automation of complex tasks with software robots, and HPC for algorithm optimization across various CPU, GPU, and FPGA architectures.
► Incubation: Explore our innovative product brainello, an AI-powered document processing software that works without templates, and Ewa Guard, AI for Drones enabling large area visual analytics.
Supercharge your app with Power BI Embedded analytics
This document provides an overview and summary of Power BI Embedded analytics' platform, data sources, custom visual library, and APIs for building and developing consistent embedded analytics. It highlights key features like seamless embedding, responsive visualizations, customization capabilities, self-service, cloud elasticity, and developer documentation and resources for Power BI Embedded.
3 CTOs Discuss the Shift to Next-Gen Analytic Ecosystems
Wow! When have you ever sat in on a Big Data analytics discussion by three of the most influential CTOs in the industry? What do they talk about among themselves?
Join Teradata's Stephen Brobst, Informatica's Sanjay Krishnamurthi, and Hortonworks' Scott Gnau as they provide a framework and best practices for maximizing value for data assets deployed within a Big Data & Analytics Architecture.
Microsoft Azure Power BI
The course is intended for business analysts or data scientist looking to learn Microsoft Power BI. The course gives ma overview of Azure and Power BI and talks about how to create and get the the most of your data visualizations. It is designed as a crash course for those looking to get started with Microsoft Power BI and Azure.
IoT Analytics Company Presentation May 2024
This is the official company presentation of IoT Analytics GmbH, a leading global provider of market insights and strategic business intelligence for the IoT, AI, Cloud, Edge, and Industry 4.0.
We are trusted by 1000+ leading companies around the world for our market insights, including globally leading software, telecommunications, consulting, semiconductor, and industrial players.
Bhadale group of companies - research-oriented services- it products catalogue
This are our research offerings for IT products design related to cloud, AI, digital technologies. We have systematic analysis and evaluation of market products to ensure your features and market value increases
Free Text Classification with Neural Networks: Training, Process Integration ...
Presented at GOR 24 on 22 February 2024 together with Verian Group (formerly Kantar Public). We discuss how AI technology was used to coding and classification of open-ended, free text questions on the example of ISCO-08 job descriptions. The talk covers the technical implementation and evaluation, as well as business process integration and a summary of business benefits.
This work is part of Verian's Public Data Innovation Hub (https://www.kantarpublic.com/de/Unsere-Expertise/daten-und-fakten/public-data-innovation-hub) and was presented in the session 'Large, Larger, LLMs' at the General Online Research Conference 2024 (https://www.conftool.org/gor24/index.php?page=browseSessions&form_session=103). Supporting write-ups are available at https://www.inspirient.com/case-studies/survey_analysis_automation.php and https://www.inspirient.com/case-studies/survey_quality_assurance.php
Inspirient's Pitch for the MRS Research Live Innovation of the Year Award 2023
Presented to the Market Research Society (MRS) Research Live jury on 27 September 2023, as a submission for the Innovation of the Year Award 2023. Nominated for Innovation of the Year as one of three finalists (https://www.mrs.org.uk/awards/mrs-awards).
We present Inspirient's Generative AI solution for trustworthy automated analyses of customer insights / survey / opinion polling data. Our system automates the complete analytical process from raw data to presentation-ready customer / citizen insights, thus helping researchers, marketing executives and the public sector quickly understand the opinions of their target demographics. To this end, our hybrid approach combines GPT-style Large Language Models (LLMs) with our own proprietary probabilistic expert System, the Inspirient Automated Analytics Engine (https://www.inspirient.com/architecture/).
The live demo that was presented as part of this pitch closely follows the introductory video at https://www.youtube.com/watch?v=C7uu4syiorM
Weitere ähnliche Inhalte
Ähnlich wie Beyond the Obvious: Harnessing Generative AI to Analyze Quantitative Survey Data, both Current and Historic
Building a New Platform for Customer Analytics
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs.
Analytical Innovation: How to Build the Next Generation Data Platform
There was a time when the Enterprise Data Warehouse (EDW) was the only way to provide a 360-degree analytical view of the business. In recent years many organizations have deployed disparate analytics alternatives to the EDW, including: cloud data warehouses, machine learning frameworks, graph databases, geospatial tools, and other technologies. Often these new deployments have resulted in the creation of analytical silos that are too complex to integrate, seriously limiting global insights and innovation.
Join guest speaker, 451 Research’s Jim Curtis and Pivotal’s Jacque Istok for an interactive discussion about some of the overarching trends affecting the data warehousing market, as well as how to build a next generation data platform to accelerate business innovation. During this webinar you will learn:
- The significance of a multi-cloud, infrastructure-agnostic analytics
- What is working and what isn’t, when it comes to analytics integration
- The importance of seamlessly integrating all your analytics in one platform
- How to innovate faster, taking advantage of open source and agile software
Speakers: James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research & Jacque Istok, Head of Data, Pivotal
20220205 Getting started with power bi
#History of #PowerBI
Introduction of #DigitalTransformation
Introduction of #PowerPlatform and how #PowerBI fits in.
Building Blocks of #PowerBI
Showed a #real-life scenario
Complementing Political / Social Research with AI for a Deeper Understanding ...
Presented at the Bitkom Big-Data.AI Summit on 14 September 2022 together with Kantar Public. We discuss how AI technology was used to automate survey analytics at Kantar Public Germany, and detail key business benefits such as improved efficiency, quick deliverables to the client, and advanced data validation and analysis.
This work is part of Kantar Public's Public Data Innovation Hub (https://www.kantarpublic.com/de/Unsere-Expertise/daten-und-fakten/public-data-innovation-hub). Supporting write-ups are available at https://www.inspirient.com/case-studies/survey_analysis_automation.php and https://www.inspirient.com/case-studies/survey_quality_assurance.php
Full abstract at https://big-data.ai/programme#Complementing-PoliticalSocial-Research-with-AI-for-a-Deeper-Understanding-of-Society
Worst Practices in Artificial Intelligence
In this talk I discuss six "worst practices" in Artificial Intelligence, so that you don't make the same mistakes as you embark on your AI and Machine Learning journey!
The full talk (in cantonese) is here: https://youtu.be/NIIztmpA6Hc?t=1172
Knowledge Graphs Webinar- 11/7/2017
The document discusses knowledge graphs and provides examples of how Neo4j has been used by customers for knowledge graph and graph database applications. Specifically, it discusses how Neo4j has helped organizations like Itau Unibanco, UBS, Airbnb, Novartis, Columbia University, Telia, Scripps Networks, and Pitney Bowes with fraud detection, master data management, content management, smart home applications, investigative journalism, and other use cases by building knowledge graphs and connecting diverse data sources.
Power BI Overview
This document provides an overview of Power BI, including:
- A history of Power BI and its tools over time from 2009 to present day.
- An overview of the different Power BI tools for preparing, building, exploring and reporting on data.
- How Power BI fits into the broader business intelligence ecosystem for preparing, modeling, visualizing and sharing data and reports.
- The capabilities Power BI provides for analysts, IT professionals and business users.
Moving Targets: Harnessing Real-time Value from Data in Motion
The Briefing Room with David Loshin and Datawatch
Live Webcast Feb. 17, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=4a053043c45cf0c2f6453dfb8577c72a
Patience may be a virtue, but when it comes to streaming analytics, waiting is no option. Between Big Data and the Internet of Things, businesses are faced with more data and greater complexity than ever before. Traditional information architectures simply cannot support the kind of processing necessary to make use of this fast-moving resource. The modern context requires a shorter path to analytics, one that narrows the gap between governance and discovery
Register for this episode of The Briefing Room to hear veteran Analyst David Loshin as he explains how the prevalence of streaming data is changing business pace and processes. He’ll be briefed by Dan Potter of Datawatch, who will tout his company’s real-time data discovery platform for data in motion. He will show how self-service data preparation can lead to faster insights, ultimately fostering the ability to make precise decisions at the right time.
Visit InsideAnalysis.com for more information.
18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a Service
Title: Timeseries Forecasting as a Service
Speaker: Thanassis Spyrou (https://linkedin.com/in/thanassis-spyrou-92911959/)
Date: Thursday, November 14, 2019
Event: https://meetup.com/Athens-Big-Data/events/265957761/
Modern Product Data Workflows: Iterate Your Way to a Top Product Experience
Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management.
Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience. Haarthi Sadasivam, Technical Product Marketing Manager at Looker will join the conversation on best practices.
Modern Product Data Workflows: Iterate Your Way to a Top Analytics Product Ex...
Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management. Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience. Haarthi Sadasivam, Technical Product Marketing Manager at Looker will join the conversation on best practices.
Continuum Analytics and Python
Talk given to the Philly Python Users Group (PUG) on October 1, 2015: http://www.meetup.com/phillypug/ Thanks SIG (http://www.sig.com) for hosting!
A Big (Query) Frog in a Small Pond, Jakub Motyl, BuffPanel
How does one process 200GB of streaming raw data, daily? Where dedicated servers and home-made solutions fail, BigQuery comes out the victor. We will talk about the big data architecture with over 110 million players total on record, how we managed to implement it, and how is it possible that we keep daily operational costs under $50.
In the beginning we will explain what kinds of data sources a top-selling game has to integrate and analyze and how to pre-process the data to avoid ramping up costs in disaster scenarios. Part of the talk is also dedicated to all the components that are involved in the many transformations the data undergoes and we will show you how the output from the entire pipeline looks.
Product Management 101 for Data and Analytics
This deck was from the talk at InfoVision summit where the speaker walks through 10 tips for creating effective data and analytics products.
AI Solutions for Industries
Empowering Industries with Artificial Intelligence Solutions. At byteLAKE, we harness cutting-edge technology to provide advanced quality inspection and data insights tailored for the Manufacturing, Automotive, Paper, Chemical, and Energy sectors. Additionally, we offer self-checkout stations for Restaurants and object recognition solutions for Retail businesses.
Explore our featured products:
► byteLAKE's CFD Suite: Accelerate your Computational Fluid Dynamics (CFD) simulations by leveraging the speed and efficiency of artificial intelligence. Slash simulation times, minimize trial-and-error costs, and supercharge decision-making for heightened productivity. Learn more at www.byteLAKE.com/en/CFDSuite.
► byteLAKE's Cognitive Services: Unlock the full potential of Industry 4.0 with our comprehensive suite of AI solutions.
• Manufacturing: Employ image analytics for precise visual inspection of processes, parts, components, and products, ensuring impeccable quality control and minimizing errors. Learn more at www.byteLAKE.com/en/manufacturing.
• Automotive: Harness sound analytics to assess and analyze the quality of car engines, enabling proactive maintenance and preventing potential issues. Discover more at www.byteLAKE.com/en/automotive.
• Paper Industry: Implement advanced cameras to continuously monitor the papermaking process, accurately detecting and analyzing the wet line. Optimize production, reduce waste, and enhance efficiency. Explore further at www.byteLAKE.com/en/paper.
• Data Insights: Leverage our AI module for advanced predictive maintenance, detecting risky situations and triggering alarms. Seamlessly turn data from various sources (IoT sensors, documents, online weather forecasts, etc.) into actionable information for better decisions. Learn more at: www.byteLAKE.com/en/DataInsights.
• Restaurants / Retail: Simplify and expedite the checkout process with our solution for self-checkout stations. Our AI module can recognize meals and groceries effortlessly, sending the list directly to the cashier's machine for efficient self-checkout. Shorten queues and wait times, elevating customer satisfaction. Learn more at www.byteLAKE.com/en/AI4Restaurants.
Experience the future of AI-driven excellence. Discover more about byteLAKE's Cognitive Services at www.byteLAKE.com/en/CognitiveServices.
► Custom AI Software Development: Choose from our range of AI services, including AI Workshops with inspiring case studies and insights, Edge AI for real-time analytics on images, videos, sounds, and time-series data, Cognitive Automation for the automation of complex tasks with software robots, and HPC for algorithm optimization across various CPU, GPU, and FPGA architectures.
► Incubation: Explore our innovative product brainello, an AI-powered document processing software that works without templates, and Ewa Guard, AI for Drones enabling large area visual analytics.
Supercharge your app with Power BI Embedded analytics
This document provides an overview and summary of Power BI Embedded analytics' platform, data sources, custom visual library, and APIs for building and developing consistent embedded analytics. It highlights key features like seamless embedding, responsive visualizations, customization capabilities, self-service, cloud elasticity, and developer documentation and resources for Power BI Embedded.
3 CTOs Discuss the Shift to Next-Gen Analytic Ecosystems
Wow! When have you ever sat in on a Big Data analytics discussion by three of the most influential CTOs in the industry? What do they talk about among themselves?
Join Teradata's Stephen Brobst, Informatica's Sanjay Krishnamurthi, and Hortonworks' Scott Gnau as they provide a framework and best practices for maximizing value for data assets deployed within a Big Data & Analytics Architecture.
Microsoft Azure Power BI
The course is intended for business analysts or data scientist looking to learn Microsoft Power BI. The course gives ma overview of Azure and Power BI and talks about how to create and get the the most of your data visualizations. It is designed as a crash course for those looking to get started with Microsoft Power BI and Azure.
IoT Analytics Company Presentation May 2024
This is the official company presentation of IoT Analytics GmbH, a leading global provider of market insights and strategic business intelligence for the IoT, AI, Cloud, Edge, and Industry 4.0.
We are trusted by 1000+ leading companies around the world for our market insights, including globally leading software, telecommunications, consulting, semiconductor, and industrial players.
Bhadale group of companies - research-oriented services- it products catalogue
This are our research offerings for IT products design related to cloud, AI, digital technologies. We have systematic analysis and evaluation of market products to ensure your features and market value increases
Ähnlich wie Beyond the Obvious: Harnessing Generative AI to Analyze Quantitative Survey Data, both Current and Historic (20)
Analytical Innovation: How to Build the Next Generation Data Platform
Analytical Innovation: How to Build the Next Generation Data Platform
Complementing Political / Social Research with AI for a Deeper Understanding ...
Complementing Political / Social Research with AI for a Deeper Understanding ...
Moving Targets: Harnessing Real-time Value from Data in Motion
Moving Targets: Harnessing Real-time Value from Data in Motion
18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a Service
18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a Service
Modern Product Data Workflows: Iterate Your Way to a Top Product Experience
Modern Product Data Workflows: Iterate Your Way to a Top Product Experience
Modern Product Data Workflows: Iterate Your Way to a Top Analytics Product Ex...
Modern Product Data Workflows: Iterate Your Way to a Top Analytics Product Ex...
A Big (Query) Frog in a Small Pond, Jakub Motyl, BuffPanel
A Big (Query) Frog in a Small Pond, Jakub Motyl, BuffPanel
Supercharge your app with Power BI Embedded analytics
Supercharge your app with Power BI Embedded analytics
3 CTOs Discuss the Shift to Next-Gen Analytic Ecosystems
3 CTOs Discuss the Shift to Next-Gen Analytic Ecosystems
Bhadale group of companies - research-oriented services- it products catalogue
Bhadale group of companies - research-oriented services- it products catalogue
Mehr von Inspirient
Free Text Classification with Neural Networks: Training, Process Integration ...
Presented at GOR 24 on 22 February 2024 together with Verian Group (formerly Kantar Public). We discuss how AI technology was used to coding and classification of open-ended, free text questions on the example of ISCO-08 job descriptions. The talk covers the technical implementation and evaluation, as well as business process integration and a summary of business benefits.
This work is part of Verian's Public Data Innovation Hub (https://www.kantarpublic.com/de/Unsere-Expertise/daten-und-fakten/public-data-innovation-hub) and was presented in the session 'Large, Larger, LLMs' at the General Online Research Conference 2024 (https://www.conftool.org/gor24/index.php?page=browseSessions&form_session=103). Supporting write-ups are available at https://www.inspirient.com/case-studies/survey_analysis_automation.php and https://www.inspirient.com/case-studies/survey_quality_assurance.php
Inspirient's Pitch for the MRS Research Live Innovation of the Year Award 2023
Presented to the Market Research Society (MRS) Research Live jury on 27 September 2023, as a submission for the Innovation of the Year Award 2023. Nominated for Innovation of the Year as one of three finalists (https://www.mrs.org.uk/awards/mrs-awards).
We present Inspirient's Generative AI solution for trustworthy automated analyses of customer insights / survey / opinion polling data. Our system automates the complete analytical process from raw data to presentation-ready customer / citizen insights, thus helping researchers, marketing executives and the public sector quickly understand the opinions of their target demographics. To this end, our hybrid approach combines GPT-style Large Language Models (LLMs) with our own proprietary probabilistic expert System, the Inspirient Automated Analytics Engine (https://www.inspirient.com/architecture/).
The live demo that was presented as part of this pitch closely follows the introductory video at https://www.youtube.com/watch?v=C7uu4syiorM
Trustworthy Analytics with Generative AI: Four Use Cases for ChatGPT / GPT-4
Presented at GOR 23 on 21 September 2023. We present four uses cases for applying Generative AI, such as ChatGPT / GPT-4, to the quantitative analysis of survey data, including examples of prompts and generated output.
This work was presented in the session on 'Innovation in Practice (2): Opportunities and Challenges' at the General Online Research Conference 2023 (https://www.conftool.org/gor23/index.php?page=browseSessions&form_session=77). Supporting write-ups are available at https://www.inspirient.com/case-studies/survey_analysis_automation.php and https://www.inspirient.com/case-studies/survey_quality_assurance.php
-- Full abstract below --
Relevance & Research Question:
Rigorous, well-documented data analysis is a corner stone of opinion research. ChatGPT and GPT-4 are the most recent additions to the toolset of every researcher/social scientist and are thought to have the potential to boost efficiencies by 50% and more – but they have trouble reliably adding more than three numbers, let alone apply complex statistical methods! This talk takes a use-case-driven approach to answering the following research questions: How can current Large Language Models (LLMs), like ChatGPT / GPT-4, be applied to rigorous analysis of survey data? Which use cases are feasible, and under which tradeoffs?
Methods & Data:
We've jointly identified four major use cases for LLMs applied to the analysis of raw survey data: 1) Natural-language data exploration, 2) desk research support, 3) generation of deliverables, and 4) LLM chatbots as client-facing deliverables. For each of these use cases, we've preprocessed samples of raw survey data in a fully automated process to allow current LLMs to be applied, as per the use case requirements. We've validated the textual results across teams to understand their respective potential and shortcomings, and consequently improved both our automated preprocessing as well as LLM prompting.
Results:
The results across the four use cases are impressive: Given nothing more than raw survey data (in form of an SPSS or Microsoft Excel file), we were able to reliably use LLMs to produce relevant output for each use case. The key aspect of our approach is the capability to link each LLM statement back to its original analytical results, thereby establishing a chain of trust into each statement of the LLM conversation that regular LLM use would lack otherwise.
Added Value:
At this time it's hard to fully estimate the automation potential&resulting efficiency gains for research agencies. We can however state with confidence, that the provided samples for all four use cases were generated within about one hour, for the given SPSS/Excel input data. In our talk, we'll demonstrate this process step-by-step, and together – based on a live demo – explore potential and limitations of this approach.
Standardized Annotations for Survey Datasets: Enabling Automated Quality Assu...
Presented at GOR 23 on 21 September 2022 together with Kantar Public. We give a hands-on introduction into recently published DIN SPEC 32792 "Semantic Data Annotations to Support AI-enabled Data Processing" that enables controlled use of Artificial Intelligence in data processing, with predictable, trustworthy results.
DIN SPEC 32972 is available online at https://www.beuth.de/en/technical-rule/din-spec-32792/368566803
This work is part of Kantar Public's Public Data Innovation Hub (https://www.kantarpublic.com/de/Unsere-Expertise/daten-und-fakten/public-data-innovation-hub) and was presented in the session on 'ML and AI in Surveys' at the General Online Research Conference 2023 (https://www.conftool.org/gor23/index.php?page=browseSessions&form_session=25). Supporting write-ups are available at https://www.inspirient.com/case-studies/survey_analysis_automation.php and https://www.inspirient.com/case-studies/survey_quality_assurance.php
Work on DIN SPEC 32972 was in part funded by DIN Deutsches Institut für Normung e. V.
-- Full abstract below --
Relevance & Research Question
To reliably automate processing of survey datasets – as we introduced in last year’s GOR – it is critical to reduce the ambiguity inherently contained in raw survey data. This, for example, includes the question whether a dimension is a meta, socio-demographic or a response variable; or the selection of which time dimension can be used for wave comparisons. To address this problem, we propose a set of standardized data annotations that enable automated processing across heterogeneous datasets. Our research question is thus to what extend annotations may facilitate more efficient and accurate survey data processing.
Methods & Data
After introducing Inspirient’s AI system for automated survey data processing at Kantar Public last year, we evaluated which steps of automated processing are most susceptible to ambiguities, thus obstructing efficient processing and leading to costly manual readjustments. We distilled these experiences into a set of data annotations that address these ambiguities and formalized them in DIN SPEC 32792. The updated AI system now incorporates these annotations in its internal reasoning process, and we evaluated their effectiveness in multiple real-world survey data processing tasks.
Results
Our results show that the proposed annotations can help facilitate fully automated processing of survey data without the need for iterative manual readjustments, e.g., for quality assurance and analytical evaluation, while maintaining quality and consistency of results. Examples included in our talk cover basic and advanced use, incl. socio-demographic / response annotations to generate contingency tables as well as dependent / independent variable annotations to automate multivariate regression analyses.
Added Value
Our work provides a foundation upon which more efficient automation / AI initiatives in the field of social research / survey analytics [...]
Diminishing Returns: When Should Real- world Surveys Stop Sampling?
This talk was given on 18 July 2023 at the European Survey Research Association conference (ESRA'23) in Milan, Italy, by Dr. Georg Wittenburg (Inspirient) and Dr. Josef Hartmann (Kantar Public). We argue that for real-world surveys, for which the scope of deliverables is known before the survey starts, it is possible to reduce the required sample size by monitoring association and significance metrics while the data is being collected.
The full abstract of this talk is as follows (also available at https://www.europeansurveyresearch.org/conf2023/prog.php?sess=113#603):
It is intuitively clear that more can be learned from the initial survey interview of a sample than from the 10,000th interview: Assuming random sampling, the information contained in each new sample element only contributes in smaller and smaller increments to the information of all previously collected interviews. While it is a fact that – given a sufficiently high sample size – a significant result may eventually be achieved even for trivial relations, this point of view only partly describes the issue at hand, simply because in real-world surveys each additional sample element comes at a cost. The cost per sample element may be constant in simpler setups, but in practice this cost increases as hard-to-reach or hard-to-convince subpopulations may require additional effort. For real-world surveys, conducted under economic constraints, the question of when to stop sampling is thus very much worth revisiting.
The question of optimal sample size is commonly modelled as an a priori problem: The required sample size n is estimated for a given set of parameters, including effect size, significance level and statistical power (power analysis). Complementing this perspective, we propose to look at determining sample size as an adaptive problem, i.e., one that tracks effect size and significance metrics as sampled elements are coming in. We propose to observe the rate of convergence of these metrics while the survey is still in progress, and thus have the opportunity to stop as soon as saturation sets in. We have validated this approach on a number of real-world survey datasets and found that in some cases comparable results regarding effect size and overall significance levels could be reached with less than half of the number of cases actually taken. The results imply less respondents and thus, less respondent burden.
Lessons from Analyzing All of Europe's Data
Presented at the Bitkom Big-Data.AI Summit on 14 September 2022. We introduce Analyst-2 (https://analyst-2.ai/) a stand-alone version of Inspirient's Automated Analytics Engine that in Q1 2022 autonomously analyzed all structured and semi-structured datasets from data.europa.eu (and also govdata.de, data.gov and kaggle.com).
Our three key conclusions from this experiment are that...
1) Data analysis can be automated, just like playing chess was automated 25 years ago
2) Automation scales 10,000s of datasets per day, and beyond
3) Automation easily reaches the proficiency level of a Junior Data Analyst
This talk is a follow-on to the SXSW 2022 panel 'Putting Open Data to Work – at Scale' (https://schedule.sxsw.com/2022/events/PP118764)
Full abstract at https://big-data.ai/programme#Lessons-from-Analysing-all-of-Europes-Data
Digital Crime Scene Investigation
Presented at the Bitkom Cybercrime 2022 Conference on 31 May 2022. An introduction to generalized, AI-supported fraud detection with examples from banking / finance, regulatory / compliance, and polling / market research.
Scalability and Autonomous Analytics
Presented at Bitkom AK Big Data & Advanced Analytics strategy workshop on 30 June 2021. We point to scalability across data schemata as a major current bottleneck on the road towards building a data-driven organization, and illustrate on the example of Analyst-2 (https://analyst-2.ai/) how Autonomous Analytics may provide a way forward.
Future Roles in AI-enabled Organisations
Joint presentation of Inspirient GmbH and Barbara Lix at the Bitkom Big-Data.AI Summit 2019 on 10 April 2019. We talk about how AI is shaping the Future of Work and which roles are emerging in AI-enabled organisations, e.g., in the telecommunications, finance and transport sectors.
KI und Predictive Maintenance am Beispiel von DB Cargo
Joint presentation of Inspirient GmbH and DB Cargo AG at Fraunhofer IPA "Start-up Your AI" on 23 February 2021. We talk about how Inspirient's AI was deployed at DB Cargo to support Predictive Maintenance initiatives and which best practices contributed to the success of the project.
Mehr von Inspirient (10)
Free Text Classification with Neural Networks: Training, Process Integration ...
Free Text Classification with Neural Networks: Training, Process Integration ...
Inspirient's Pitch for the MRS Research Live Innovation of the Year Award 2023
Inspirient's Pitch for the MRS Research Live Innovation of the Year Award 2023
Trustworthy Analytics with Generative AI: Four Use Cases for ChatGPT / GPT-4
Trustworthy Analytics with Generative AI: Four Use Cases for ChatGPT / GPT-4
Standardized Annotations for Survey Datasets: Enabling Automated Quality Assu...
Standardized Annotations for Survey Datasets: Enabling Automated Quality Assu...
Diminishing Returns: When Should Real- world Surveys Stop Sampling?
Diminishing Returns: When Should Real- world Surveys Stop Sampling?
KI und Predictive Maintenance am Beispiel von DB Cargo
KI und Predictive Maintenance am Beispiel von DB Cargo
Kürzlich hochgeladen
Learn SQL from basic queries to Advance queries
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
原版办【微信号:BYZS866】【兰加拉学院毕业证(Langara毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版制作【微信:41543339】【弗林德斯大学毕业证(Flinders毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Kürzlich hochgeladen (20)
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Beyond the Obvious: Harnessing Generative AI to Analyze Quantitative Survey Data, both Current and Historic
- 1. Beyond the Obvious: Harnessing Generative AI to Analyze Quantitative Survey Data, both Current and Historic Dr. Georg Wittenburg ▪ Inspirient Luis Ladd ▪ Hotspex Quirk’s Chicago 2024
- 2. Copyright © 2024 by Inspirient GmbH. All rights reserved. Quirk’s Chicago 2024 1 Dr. Georg Wittenburg Co-founder and CEO at Inspirient Luis Ladd SVP Product Innovation, BSA & InTech at Hotspex
- 3. Copyright © 2024 by Inspirient GmbH. All rights reserved. The Challenge: Doing more with Less Quirk’s Chicago 2024 2 Generative AI is All about Efficiency …or cost Collected survey data or any other data table Something tangible that you would discuss with your boss or a client • Often slides and supporting commentary • Factually correct results (no hallucinations) Speed to get from raw data to relevant insight
- 4. Design Fieldwork Insights Value Design Fieldwork Insights Effort
- 5. Design Fieldwork Insights 3rd party to virtualize shelf Category virtualized? No Yes Assets Library Data collection Data Processing Deployment Insights development & reporting End Analysis Start Project kick-off Gather inputs Design Questionnaire Hotspex Set-up Testing & Approval
- 6. Design Fieldwork Insights Project kick-off Data collection Design Start Analysis & Insights Creation Retail Execution Packaging Brand Health Communications Product • High-Volume and High-Velocity Data. • Complex Data Structures. • Data Quality and Noise Reduction. • Interpretation and Meaning Extraction. • Scalability and Efficiency. Don’t sacrifice Quality for the sake of Speed • Automated Shelf Builder • Programatic Platforms • Synergic Interconnected Solutions. • AI Fueled Environment
- 7. Copyright © 2024 by Inspirient GmbH. All rights reserved. Quirk’s Chicago 2024 6 Generative AI is All about Efficiency …or cost Collected survey data or any other data table Something tangible that you would discuss with your boss or a client • Often slides and supporting commentary • Factually correct results (no hallucinations) Speed to get from raw data to relevant insight
- 8. Copyright © 2024 by Inspirient GmbH. All rights reserved. From Plain Survey Data to Recommendations Quirk’s Chicago 2024 7 Sensible answer to an open question Statements linked back to the source data Supporting charts included
- 9. Copyright © 2024 by Inspirient GmbH. All rights reserved. From Plain Survey Data to Recommendations Quirk’s Chicago 2024 8 Sensible answer to an open question Statements linked back to the source data Supporting charts included
- 10. Copyright © 2024 by Inspirient GmbH. All rights reserved. How does it work? Our Hybrid AI Combines Expert System Reasoning and LLMs Quirk’s Chicago 2024 9 Survey raw data Analytical results User Secure Large Language Model2 (e.g., dedicated ChatGPT instance) Automated Analytical Reasoning Data classi- fication and statistical analysis Pattern de- tection and result priori- tization Result export, charting and write-up Analytical processing split into ~480 classifiers to produce a detailed account of every reasoning step1
- 12. Copyright © 2024 by Inspirient GmbH. All rights reserved. Aligning Behaviors with Emotions Quirk’s Chicago 2024 13 Implicit Code Book Implicit User Data EPonPack EPonShelf ShopSpex - Price ShopSpex - Quantity Codebook User data Tabplan Pack Test Phase 1 and 2
- 14. Copyright © 2024 by Inspirient GmbH. All rights reserved. Quirk’s Chicago 2024 15 Generative AI is All about Efficiency …and that’s it?
- 15. Copyright © 2024 by Inspirient GmbH. All rights reserved. Reasoning across Multiple Datasets without actually combining the data Quirk’s Chicago 2024 16 User Large Language Model Dataset #3 Analytical Results #3 Automated Analytical Reasoning Dataset #2 Analytical Results #2 Automated Analytical Reasoning Dataset #1 Analytical Results #1 Automated Analytical Reasoning
- 16. Copyright © 2024 by Inspirient GmbH. All rights reserved. The Power of a Live Data Lake Quirk’s Chicago 2024 17 Brand Operating System Pack Test Ad Test
- 17. Copyright © 2024 by Inspirient GmbH. All rights reserved. From Insights to Strategy, AI-Driven Decision Making Quirk’s Chicago 2024 18 Brand Operating System Pack Test Ad Test
- 18. Copyright © 2024 by Inspirient GmbH. All rights reserved. Real Time Benchmarking against Historic Performance Quirk’s Chicago 2024 19 Cross-dataset quantitative comparison
- 19. Copyright © 2024 by Inspirient GmbH. All rights reserved. Please connect for any follow-on questions! Quirk’s Chicago 2024 20 Luis Ladd luis.ladd@hotspex.com Try it a Kiosk K in front of Room 4! Dr. Georg Wittenburg georg.wittenburg@inspirient.com