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The Practice of Alluxio in Near Real-Time Data Platform at VIPShop [Chinese]
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July 2018 Speaker: Jingping Feng from VIPShop
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AI Infra Day Oct. 25, 2023 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Bin Fan (Cheif Architect, VP of Open Source, @Alluxio) As the AI landscape rapidly evolves, the advancements in generative AI technologies, such as ChatGPT, are driving a need for a robust AI infra stack. This opening keynote will explore the key trends of the AI infra stack in the generative AI era.
AI Infra Day | The AI Infra in the Generative AI Era
AI Infra Day | The AI Infra in the Generative AI Era
Alluxio, Inc.
AI Infra Day Oct. 25, 2023 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Lu Qiu (Machine Learning Engineer, @Alluxio) - Shawn Sun (Software Engineer, @Alluxio) This hands-on session will discuss best practices for using PyTorch and Alluxio during model training on AWS. Chunxu and Lu will provide a step-by-step demonstration of how to use Alluxio on EKS as a distributed cache to accelerate computer vision model training jobs that read datasets from S3. This architecture significantly improves the utilization of GPUs from 30% to 90%+, archives ~5x faster training, and lower cloud storage costs.
AI Infra Day | Hands-on Lab: CV Model Training with PyTorch & Alluxio on Kube...
AI Infra Day | Hands-on Lab: CV Model Training with PyTorch & Alluxio on Kube...
Alluxio, Inc.
AI Infra Day Oct. 25, 2023 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Jordan Plawner (Global Director of Artificial intelligence Product Management and Strategy, @Intel) ChatGPT and other massive models represents an amazing step forward in AI, yet they do not solve real-world business problems. We will survey how the AI ecosystem has worked non-stop over this last year to take these all-purpose multi-task models and optimize them to they can be used by organizations to address domain specific problems. We will explain these new AI-for-the-real world techniques and methods such as fine tuning and how can be applied to deliver results which are highly performant with state-of-the-art accuracy while also being economical to build and deploy everywhere to enhance products and services.
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
Alluxio, Inc.
AI Infra Day Oct. 25, 2023 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Wanchao Liang (Software Engineer, @Meta) Explore the technology advancements of PyTorch Distributed, and dive into the details of how multi-dimensional parallelism is made possible to train Large Language Models by composing different PyTorch native distributed training APIs.
AI Infra Day | Composable PyTorch Distributed with PT2 @ Meta
AI Infra Day | Composable PyTorch Distributed with PT2 @ Meta
Alluxio, Inc.
AI Infra Day Oct. 25, 2023 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Sally (Mihyoung) Lee (Senior Staff Engineer, TLM, @Uber) Machine learning models power Uber’s everyday business. However, developing and deploying a model is not a one-time event but a continuous process that requires careful planning, execution, and monitoring. This session will highlight Uber’s practice on the machine learning lifecycle to ensure high model quality.
AI Infra Day | Model Lifecycle Management Quality Assurance at Uber Scale
AI Infra Day | Model Lifecycle Management Quality Assurance at Uber Scale
Alluxio, Inc.
Alluxio Monthly Webinar Oct. 3, 2023 For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Greg Palmer (Lead Solutions Engineer) Model training requires extensive computational and GPU resources. When training models on AWS, loading data from S3 often becomes a major bottleneck, wasting valuable GPU cycles. Optimizing data loading can greatly reduce GPU idle time and increase GPU utilization. In this webinar, Greg Palmer will discuss best practices for efficient data loading during model training on AWS. He will demonstrate how to use Alluxio on EKS as a distributed cache to accelerate PyTorch training jobs that read datasets from S3. This architecture significantly improves the utilization of GPUs from 30% to 90%+, archives ~5x faster training, and lower cloud storage costs. What you will learn: - The challenges of feeding data-hungry GPUs in the cloud - How to accelerate model training by optimizing data loading on AWS - The reference architecture for running PyTorch jobs with Alluxio cache on EKS while reading data from S3, with benchmark results of training ResNet50 and BERT - How to use TensorBoard to identify bottlenecks in GPU utilization
Alluxio Monthly Webinar | Efficient Data Loading for Model Training on AWS
Alluxio Monthly Webinar | Efficient Data Loading for Model Training on AWS
Alluxio, Inc.
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Optimizing Data Access for Analytics And AI with Alluxio
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Speed Up Presto at Uber with Alluxio Caching
Speed Up Presto at Uber with Alluxio Caching
Correctly Loading Incremental Data at Scale
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Big Data Bellevue Meetup | Enhancing Python Data Loading in the Cloud for AI/ML
Big Data Bellevue Meetup | Enhancing Python Data Loading in the Cloud for AI/ML
Alluxio Monthly Webinar | Why a Multi-Cloud Strategy Matters for Your AI Plat...
Alluxio Monthly Webinar | Why a Multi-Cloud Strategy Matters for Your AI Plat...
Alluxio Monthly Webinar | Five Disruptive Trends that Every Data & AI Leader...
Alluxio Monthly Webinar | Five Disruptive Trends that Every Data & AI Leader...
Data Infra Meetup | FIFO Queues are All You Need for Cache Eviction
Data Infra Meetup | FIFO Queues are All You Need for Cache Eviction
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Data Infra Meetup | Accelerate Your Trino/Presto Queries - Gain the Alluxio Edge
Data Infra Meetup | Accelerate Distributed PyTorch/Ray Workloads in the Cloud
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Data Infra Meetup | ByteDance's Native Parquet Reader
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Alluxio Monthly Webinar | Why NFS/NAS on Object Storage May Not Solve Your AI...
Alluxio Monthly Webinar | Why NFS/NAS on Object Storage May Not Solve Your AI...
AI Infra Day | Accelerate Your Model Training and Serving with Distributed Ca...
AI Infra Day | Accelerate Your Model Training and Serving with Distributed Ca...
AI Infra Day | The AI Infra in the Generative AI Era
AI Infra Day | The AI Infra in the Generative AI Era
AI Infra Day | Hands-on Lab: CV Model Training with PyTorch & Alluxio on Kube...
AI Infra Day | Hands-on Lab: CV Model Training with PyTorch & Alluxio on Kube...
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
AI Infra Day | Composable PyTorch Distributed with PT2 @ Meta
AI Infra Day | Composable PyTorch Distributed with PT2 @ Meta
AI Infra Day | Model Lifecycle Management Quality Assurance at Uber Scale
AI Infra Day | Model Lifecycle Management Quality Assurance at Uber Scale
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Alluxio Monthly Webinar | Efficient Data Loading for Model Training on AWS
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What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.
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Copy of the slides presented by Matt Robison to the SFWelly Salesforce user group community on May 2 2024. The audience was truly international with attendees from at least 4 different countries joining online. Matt is an expert in data cloud and this was a brilliant session.
Data Cloud, More than a CDP by Matt Robison
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My presentation at the Lehigh Carbon Community College (LCCC) NSA GenCyber Cyber Security Day event that is intended to foster an interest in the cyber security field amongst college students.
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
Michael W. Hawkins
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
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Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
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ThousandEyes
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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
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debabhi2
Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
Enterprise Knowledge
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
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In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
Stay safe, grab a drink and join us virtually for our upcoming "GenAI Risks & Security" Meetup to hear about how to uncover critical GenAI risks and vulnerabilities, AI security considerations in every company, and how a CISO should navigate through GenAI Risks.
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
lior mazor
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
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Safe Software
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
Read about the journey the Adobe Experience Manager team has gone through in order to become and scale API-first throughout the organisation.
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Radu Cotescu
Digital Global Overview Report 2024 Slides presentation for Event presented in 2024 after compilation of data around last year.
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[2024]Digital Global Overview Report 2024 Meltwater.pdf
hans926745
Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.
IAC 2024 - IA Fast Track to Search Focused AI Solutions
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IAC 2024 - IA Fast Track to Search Focused AI Solutions
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