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Analytics for Power and Utilities organizations - drive quicker ROI
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Healthcare Simulation: Bed Allocation in Hospital: Simcad Pro is a sophisticated simulation engine that can be utilized to improve the overall efficiency of the Emergency Room. The use of Simcad Pro has been shown to improve Emergency Room efficiency, accuracy and effectiveness, which in turn improves patient outcomes and the quality of care that is received. In addition, staff allocation and efficiency can be better forecasted and analyzed, reducing the overall cost of care without sacrificing the quality of care.
Healthcare Simulation
Healthcare Simulation
simulationsoftware
Data Center Decisions: Build Versus Buy
Data Center Decisions: Build Versus Buy
VISIHOSTING
This presentation was given by Sonamine at Mobile Gaming USA 2012 conference in San Francisco on May 11, 2012. It covers the overview of analytics, different vendors and implementation options.
Sonamine Mobile Gaming USA 2012 presentation
Sonamine Mobile Gaming USA 2012 presentation
Sonamine
Why Infrastructure Matters for Big Data & Analytics
Why Infrastructure Matters for Big Data & Analytics
Rick Perret
Presentation given by Ravi Makhija, Chief Operating Officer, SAS Institute (India) Pvt Ltd on August 3rd, 2011 at eWorld Forum (www.eworldforum.net) in the session Urban Governance and Infrastructure
Ravi Makhija
Ravi Makhija
eletseditorial
Enabling Business Agility
The Road to Business Agility
The Road to Business Agility
Srini Koushik
Synopsis: How SAS believes organisations can turn Big Data in to competitive advantage through the use of High Performance Analytics. In this presentations, we look at how SAS is seeing organisations take the outputs from big data analysis and turn them into tangible business outcomes through real-time decision-making. In it, we explore: - Why we believe organisations need to exploit their data assets to create the insights that build competitive advantage - How to develop infrastructures required to support multi-dimentsional insight - What SAS is doing to make this a reality Key topics include: - Data governance - Big data infrastructure - High performance analytics - Data visualisation About SAS: - World’s largest, privately held software company, - 35 years old - Focus on advanced and predictive analytics right from the word go - Big data has been in our DNA before it became mainstream
SAS Big Data Forum - Transforming Big Data into Corporate Gold
SAS Big Data Forum - Transforming Big Data into Corporate Gold
Louis Fernandes
Managing operational support costs, driving costs down to fund space for value added IT investments
Managing The 80% Problem
Managing The 80% Problem
Crocus Hill Associates
Empfohlen
Healthcare Simulation: Bed Allocation in Hospital: Simcad Pro is a sophisticated simulation engine that can be utilized to improve the overall efficiency of the Emergency Room. The use of Simcad Pro has been shown to improve Emergency Room efficiency, accuracy and effectiveness, which in turn improves patient outcomes and the quality of care that is received. In addition, staff allocation and efficiency can be better forecasted and analyzed, reducing the overall cost of care without sacrificing the quality of care.
Healthcare Simulation
Healthcare Simulation
simulationsoftware
Data Center Decisions: Build Versus Buy
Data Center Decisions: Build Versus Buy
VISIHOSTING
This presentation was given by Sonamine at Mobile Gaming USA 2012 conference in San Francisco on May 11, 2012. It covers the overview of analytics, different vendors and implementation options.
Sonamine Mobile Gaming USA 2012 presentation
Sonamine Mobile Gaming USA 2012 presentation
Sonamine
Why Infrastructure Matters for Big Data & Analytics
Why Infrastructure Matters for Big Data & Analytics
Rick Perret
Presentation given by Ravi Makhija, Chief Operating Officer, SAS Institute (India) Pvt Ltd on August 3rd, 2011 at eWorld Forum (www.eworldforum.net) in the session Urban Governance and Infrastructure
Ravi Makhija
Ravi Makhija
eletseditorial
Enabling Business Agility
The Road to Business Agility
The Road to Business Agility
Srini Koushik
Synopsis: How SAS believes organisations can turn Big Data in to competitive advantage through the use of High Performance Analytics. In this presentations, we look at how SAS is seeing organisations take the outputs from big data analysis and turn them into tangible business outcomes through real-time decision-making. In it, we explore: - Why we believe organisations need to exploit their data assets to create the insights that build competitive advantage - How to develop infrastructures required to support multi-dimentsional insight - What SAS is doing to make this a reality Key topics include: - Data governance - Big data infrastructure - High performance analytics - Data visualisation About SAS: - World’s largest, privately held software company, - 35 years old - Focus on advanced and predictive analytics right from the word go - Big data has been in our DNA before it became mainstream
SAS Big Data Forum - Transforming Big Data into Corporate Gold
SAS Big Data Forum - Transforming Big Data into Corporate Gold
Louis Fernandes
Managing operational support costs, driving costs down to fund space for value added IT investments
Managing The 80% Problem
Managing The 80% Problem
Crocus Hill Associates
Running dry smart water and leak detection by steven windsor
Running dry smart water and leak detection by steven windsor
Global Water Partnership
Running dry smart water and leak detection by steven windsor
Running dry smart water and leak detection by steven windsor
Global Water Partnership
Rob anderson
Rob anderson
Eduserv
OSIsoft's PI System - a software data infrastructure for real-time and event data is a necessary underpinning for monitoring, measurement, and incremental improvement in complex critical infrastructure environments. Hear about use cases and return on investment relevant to federal projects where energy management, operations optimization, and real-time situational awareness are priority goals.
Managing 'Big Data': Federal use cases for real-time data infrastructure
Managing 'Big Data': Federal use cases for real-time data infrastructure
Schneider Electric
Microforum spend analytics
Microforum spend analytics
Henner Schliebs
Gartner calls Vectorwise technology game-changing. I
Query at Speed of Thought
Query at Speed of Thought
MISNet - Integeo SE Asia
Team 11 presentation
Team 11 presentation
Yale Global Health Case Competition
Presentation från IBM Smarter Business 2011. Spår: IBM Cognos Performance. Information is the oil of the future. It will be the resource running our economy in ways not possible in the past. In this era of extreme information organizations need to understand how to find the information that really matters and how to draw intelligence from it. They need to become Analytics-driven. Talare: Juha Teljo, Business Analytics Executive. Mer information på www.smarterbusiness.se
How to become an Analytics-driven organization - and why bother? - IBM Smarte...
How to become an Analytics-driven organization - and why bother? - IBM Smarte...
IBM Sverige
Forecasting forms a base of a advanced Decision support system for any organization.
Forecasteronline.Com
Forecasteronline.Com
Transpacific Software Pvt. Ltd
Karen Martin, recognized expert on lean in office and administrative processes, shares instruction on applying value stream mapping to non-manufacturing organizations.
Value stream mapping for non manufacturing environments
Value stream mapping for non manufacturing environments
Association for Manufacturing Excellence
Joe Ziegler's presentation at the 5th Elephant conference in Bangalore.
Big Data & The Cloud
Big Data & The Cloud
Amazon Web Services
Data center 2.0: Uptime assurance for data centre or cloud computing by Mr. J...
Data center 2.0: Uptime assurance for data centre or cloud computing by Mr. J...
HKISPA
Compounding Business Value Through Big Data & Advanced Analytics, v2
Compounding Business Value Through Big Data & Advanced Analytics, v2
denesuk
Emtec Finance and Technology Summit Presentation with Jamal Syed
Predictive Analytics, A Case Study on Operational Analysis - Emtec, Inc.
Predictive Analytics, A Case Study on Operational Analysis - Emtec, Inc.
Emtec Inc.
We're hosting this event again on March 9, 2012! Register today at http://visi.com/resources/events/data-center-decisions-build-versus-buy.aspx The discussion will focus on the capacity, assessing growth, consolidation, risk and benefits related to operating your own data center or colocating your equipment with a data center facility. The conversation will focus on the most effective and efficient ways to understand and determine your future Data Center strategic 'Road Map'. Excipio will discuss some of the real life challenges and solutions such as: • How do we determine our future Data Center Strategy? • We always seem to be running out of power or cooling in our Data Center? Is this common? • Are there advantages to making a long-term commitment to build a Data Center, or would we be better off utilizing a current hosted facility to meet our needs? • How do I know when we are going to run out of Data Center capacity? • What are the issues with consolidating servers, storage and other equipment; do I risk cooling and power capacity issues?
Data Center Decisions: Build versus Buy
Data Center Decisions: Build versus Buy
VISI
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision making
IPPAI
The ability to predict future business trends with reasonable accuracy will be one of the crucial competitive advantages of this new decade. And you won't be able to do that without Analytics.
Anticipate & Manage Change with Business Analytics
Anticipate & Manage Change with Business Analytics
SAS Institute India Pvt. Ltd
IHS Webcast - Counterfeiting, Obsolescence, and Risk
IHS Webcast - Counterfeiting, Obsolescence, and Risk
Tevia Arnold
Novell Access Governance Suite
Novell Access Governance Suite
Novell
Præsentation fra Smarter Business 2012
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
IBM Danmark
The SAS Perspective on Artificial Intelligence was presented by Anil Arora, Principal Data Scientist, SAS at IDG CIO 100: Reimagineering India 2020 on 6-7th Sep at New Delhi.
Artificial Intelligence The SAS Perspective
Artificial Intelligence The SAS Perspective
SAS Institute India Pvt. Ltd
Topic: Incidents, Indicators, Insights – the emergence of the Security Analytics Platform Presented by Keith Swanson, IBA Event. As cyber investment continues, many organisations have brought on a myriad of capabilities and technologies across operational and productivity platforms. Moving from threat and incident response to hunting as part of a risk based approach, the Security Analytics Platform is cementing its importance in bridging these investments and information across operational and productivity investments.
Incidents, Indicators, Insights – the emergence of the Security Analytics Pla...
Incidents, Indicators, Insights – the emergence of the Security Analytics Pla...
SAS Institute India Pvt. Ltd
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Rob anderson
Rob anderson
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OSIsoft's PI System - a software data infrastructure for real-time and event data is a necessary underpinning for monitoring, measurement, and incremental improvement in complex critical infrastructure environments. Hear about use cases and return on investment relevant to federal projects where energy management, operations optimization, and real-time situational awareness are priority goals.
Managing 'Big Data': Federal use cases for real-time data infrastructure
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Schneider Electric
Microforum spend analytics
Microforum spend analytics
Henner Schliebs
Gartner calls Vectorwise technology game-changing. I
Query at Speed of Thought
Query at Speed of Thought
MISNet - Integeo SE Asia
Team 11 presentation
Team 11 presentation
Yale Global Health Case Competition
Presentation från IBM Smarter Business 2011. Spår: IBM Cognos Performance. Information is the oil of the future. It will be the resource running our economy in ways not possible in the past. In this era of extreme information organizations need to understand how to find the information that really matters and how to draw intelligence from it. They need to become Analytics-driven. Talare: Juha Teljo, Business Analytics Executive. Mer information på www.smarterbusiness.se
How to become an Analytics-driven organization - and why bother? - IBM Smarte...
How to become an Analytics-driven organization - and why bother? - IBM Smarte...
IBM Sverige
Forecasting forms a base of a advanced Decision support system for any organization.
Forecasteronline.Com
Forecasteronline.Com
Transpacific Software Pvt. Ltd
Karen Martin, recognized expert on lean in office and administrative processes, shares instruction on applying value stream mapping to non-manufacturing organizations.
Value stream mapping for non manufacturing environments
Value stream mapping for non manufacturing environments
Association for Manufacturing Excellence
Joe Ziegler's presentation at the 5th Elephant conference in Bangalore.
Big Data & The Cloud
Big Data & The Cloud
Amazon Web Services
Data center 2.0: Uptime assurance for data centre or cloud computing by Mr. J...
Data center 2.0: Uptime assurance for data centre or cloud computing by Mr. J...
HKISPA
Compounding Business Value Through Big Data & Advanced Analytics, v2
Compounding Business Value Through Big Data & Advanced Analytics, v2
denesuk
Emtec Finance and Technology Summit Presentation with Jamal Syed
Predictive Analytics, A Case Study on Operational Analysis - Emtec, Inc.
Predictive Analytics, A Case Study on Operational Analysis - Emtec, Inc.
Emtec Inc.
We're hosting this event again on March 9, 2012! Register today at http://visi.com/resources/events/data-center-decisions-build-versus-buy.aspx The discussion will focus on the capacity, assessing growth, consolidation, risk and benefits related to operating your own data center or colocating your equipment with a data center facility. The conversation will focus on the most effective and efficient ways to understand and determine your future Data Center strategic 'Road Map'. Excipio will discuss some of the real life challenges and solutions such as: • How do we determine our future Data Center Strategy? • We always seem to be running out of power or cooling in our Data Center? Is this common? • Are there advantages to making a long-term commitment to build a Data Center, or would we be better off utilizing a current hosted facility to meet our needs? • How do I know when we are going to run out of Data Center capacity? • What are the issues with consolidating servers, storage and other equipment; do I risk cooling and power capacity issues?
Data Center Decisions: Build versus Buy
Data Center Decisions: Build versus Buy
VISI
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision making
IPPAI
The ability to predict future business trends with reasonable accuracy will be one of the crucial competitive advantages of this new decade. And you won't be able to do that without Analytics.
Anticipate & Manage Change with Business Analytics
Anticipate & Manage Change with Business Analytics
SAS Institute India Pvt. Ltd
IHS Webcast - Counterfeiting, Obsolescence, and Risk
IHS Webcast - Counterfeiting, Obsolescence, and Risk
Tevia Arnold
Novell Access Governance Suite
Novell Access Governance Suite
Novell
Præsentation fra Smarter Business 2012
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
IBM Danmark
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Running dry smart water and leak detection by steven windsor
Running dry smart water and leak detection by steven windsor
Running dry smart water and leak detection by steven windsor
Running dry smart water and leak detection by steven windsor
Rob anderson
Rob anderson
Managing 'Big Data': Federal use cases for real-time data infrastructure
Managing 'Big Data': Federal use cases for real-time data infrastructure
Microforum spend analytics
Microforum spend analytics
Query at Speed of Thought
Query at Speed of Thought
Team 11 presentation
Team 11 presentation
How to become an Analytics-driven organization - and why bother? - IBM Smarte...
How to become an Analytics-driven organization - and why bother? - IBM Smarte...
Forecasteronline.Com
Forecasteronline.Com
Value stream mapping for non manufacturing environments
Value stream mapping for non manufacturing environments
Big Data & The Cloud
Big Data & The Cloud
Data center 2.0: Uptime assurance for data centre or cloud computing by Mr. J...
Data center 2.0: Uptime assurance for data centre or cloud computing by Mr. J...
Compounding Business Value Through Big Data & Advanced Analytics, v2
Compounding Business Value Through Big Data & Advanced Analytics, v2
Predictive Analytics, A Case Study on Operational Analysis - Emtec, Inc.
Predictive Analytics, A Case Study on Operational Analysis - Emtec, Inc.
Data Center Decisions: Build versus Buy
Data Center Decisions: Build versus Buy
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Anticipate & Manage Change with Business Analytics
Anticipate & Manage Change with Business Analytics
IHS Webcast - Counterfeiting, Obsolescence, and Risk
IHS Webcast - Counterfeiting, Obsolescence, and Risk
Novell Access Governance Suite
Novell Access Governance Suite
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
Mehr von SAS Institute India Pvt. Ltd
The SAS Perspective on Artificial Intelligence was presented by Anil Arora, Principal Data Scientist, SAS at IDG CIO 100: Reimagineering India 2020 on 6-7th Sep at New Delhi.
Artificial Intelligence The SAS Perspective
Artificial Intelligence The SAS Perspective
SAS Institute India Pvt. Ltd
Topic: Incidents, Indicators, Insights – the emergence of the Security Analytics Platform Presented by Keith Swanson, IBA Event. As cyber investment continues, many organisations have brought on a myriad of capabilities and technologies across operational and productivity platforms. Moving from threat and incident response to hunting as part of a risk based approach, the Security Analytics Platform is cementing its importance in bridging these investments and information across operational and productivity investments.
Incidents, Indicators, Insights – the emergence of the Security Analytics Pla...
Incidents, Indicators, Insights – the emergence of the Security Analytics Pla...
SAS Institute India Pvt. Ltd
Santosh Tiwari, Analytics Expert, SAS presented on the topic "Data Driven Business" at IDG CIO Summit 8-9 Feb 2018, in which he talked about modern, open platform Viya built for analytics innovation, and shared a vision on how the future of analytics looks like. During this session, he also emphasized on Artificial Intelligence & Machine Learning to build automated agile analytics platforms for customer engagement and business decisions.
Data driven-business
Data driven-business
SAS Institute India Pvt. Ltd
SAS was analytics sponsor at AML Summit by Fintelekt in Bangladesh and Mr. Rohan Langley, SAS Fraud & Security Expert AP presented on topic Effective AML Compliance. SAS Anti-Money Laundering protects your assets by using advanced analytics to uncover illicit activity and comply with AML and CTF regulations.
Trends in AML Compliance and Technology
Trends in AML Compliance and Technology
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Business Analytics: A Strategic Imperative
Business Analytics: A Strategic Imperative
SAS Institute India Pvt. Ltd
Through this presentation, Mr. Vineet Khanna, Director - Practices, SAS India; talks about the key considerations for ALM, need for data management, analytics and optimisation.
Asset Liability Management
Asset Liability Management
SAS Institute India Pvt. Ltd
In this era of big data, the role of marketing is constantly evolving - from monologues to dialogues, from customer satisfaction to customer delight! Through this presentation, Kiran Ajbani, Sr. Consultant at SAS India, brings into perspective the importance of data-driven marketing and the need to transform in the digital age.
Big Digital Marketing
Big Digital Marketing
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This presentation was made at SAS Forum India 2014 by Mr. Manoj Shrivastava, Director - IT, MTS India. In this presentation, he talks about the various learnings derived from his experiences with BI and campaign management implementations.
Learnings from customer analytics and campaign management implementations
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High performance organisation
High performance organisation
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This presentation was made at CIO Summit 2014, Pune. The presentation talks about the importance of data as a strategic asset and how analytics can empower modern businesses in making the most out of this recent and important asset class.
Unlocking the Strategic Value of your Data
Unlocking the Strategic Value of your Data
SAS Institute India Pvt. Ltd
'Impact of emerging technologies in Business' was presented at the 17th IMA CEO Roundtable, by Sudipta K. Sen, Regional Director - South East Asia, Vice Chairman and Member of Board, SAS Institute (India). The presentation talks about how technologies in data management, analytics and BI can help organisations in driving breakthrough business outcomes.
Impact of emerging technologies in Business
Impact of emerging technologies in Business
SAS Institute India Pvt. Ltd
An exclusive presentation by Mr. Srinivasan Iyengar, Chief Operating Officer of Reliance Life Insurance - “An Road to an Analytical Enterprise”. The presentation was made at Analytics Conference in Mumbai.
The Road to an Analytical Enterprise
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SAS Institute India Pvt. Ltd
An exclusive presentation by Mr. Deepak Ramanathan, Chief Technology Officer, North Asia, AP Presales Operations - SAS Institute Pte. Ltd (Singapore). on ‘High Performance Analytics - The Future of Analytics is Here.’ The presentation was made at Government Analytics & Information Summit 2013.
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High Performance Analytics - The Future of Analytics is Here
SAS Institute India Pvt. Ltd
An exclusive presentation by Mr. Imam Hoque, General Manager, Advanced Analytics BU, Advanced Analytics Sales - EMEA AP BU, SAS Software Ltd (United Kingdom)on ‘Maximising The Value of Analytics in Tax Compliance’ The presentation was made at Government Analytics & Information Summit 2013.
Maximising The Value of Analytics in Tax Compliance
Maximising The Value of Analytics in Tax Compliance
SAS Institute India Pvt. Ltd
An exclusive presentation by Mr. Nirlap Vora, Practice Manager - Information Management - SAS Institute India Pvt. Ltd . on ‘Data Management as a Strategic Initiative.’ The presentation was made at Government Analytics & Information Summit 2013.
Data Management as a Strategic Initiative for Government
Data Management as a Strategic Initiative for Government
SAS Institute India Pvt. Ltd
This was presented at SAS Visual Analytics Event on May 15, 2013 in Chennai. This presentation discussed on how SAS Visual Analytics can empower your organisation in gaining valuable insights from your data in the shortest amount of time.
SAS Visual Analytics Overview
SAS Visual Analytics Overview
SAS Institute India Pvt. Ltd
An exclusive presentation by Keith Swanson, Director, Financial Crimes, SAS South Asia presented on Big Data, Big Analytics & Bad Behaviour - Fighting Financial Crime.
SAS Forum India: Big Data, Big Analytics & Bad Behaviour - Fighting Financial...
SAS Forum India: Big Data, Big Analytics & Bad Behaviour - Fighting Financial...
SAS Institute India Pvt. Ltd
An exclusive presentation by Mr. Mayank Sahai, AVP - Corporate Marketing - Tata Teleservices Ltd. on ‘Enhancing Marketing Performance to drive Business Objectives.’ The presentation was made at SAS Forum India 2013.
TATA Teleservices - SAS Forum India: Enhancing Marketing Performance to drive...
TATA Teleservices - SAS Forum India: Enhancing Marketing Performance to drive...
SAS Institute India Pvt. Ltd
An exclusive presentation by Ronald Fernandes, SVP - Compliance Department - Axis Bank on 'Automation of Compliance Management – Implementation Considerations. The presentation was made at SAS Forum India 2013.
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SAS Institute India Pvt. Ltd
An exclusive presentation by Mr. S Rajendran, CEO – Cordex India on ‘Loss data Consortium’ The presentation was made at SAS Forum India 2013.
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SAS Institute India Pvt. Ltd
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SAS Forum India: Big Data, Big Analytics & Bad Behaviour - Fighting Financial...
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Axis Bank - SAS Forum India: Automation of Compliance Management – Implementa...
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We're living the AI revolution and Salesforce is adapting and bring new value to their customers. Einstein products are evolving rapidly and navigating their limitations, language support, and use cases can be challenging. Let's make review of what Einstein product are available currently, what are the capabilities and what can be used for in CEE region and how Rossie.ai can help to learn Salesforce speak Czech. We will explore the Einstein roadmap and I will make a short live demo (based on your vote) of some Einstein feature.
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The standard Salesforce Approval process can be limiting in many ways, especially in complex scenarios. What if there was a way to implement very flexible approvals where one can use Apex code to make data updates in unrelated records, dynamically generate next steps details, and compute assignees on the fly? And still use UI-based configurations to implement concrete approval processes. In this session, we will share ideas behind such a solution and show a few lines of code to get you started.
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This instalment looked at building performance at the earliest stages of your project, covering Interoperability, Solar and Daylighting.
IESVE for Early Stage Design and Planning
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A recap of interesting points and quotes from the May 2024 WSO2CON opensource application development conference. Focuses primarily on keynotes and panel sessions.
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Agentic RAG transforms how we approach question answering by introducing an innovative agent-based framework. Unlike traditional methods that rely solely on large language models (LLMs), agentic RAG employs intelligent agents to tackle complex questions requiring intricate planning, multi-step reasoning, and utilization of external tools.
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Intrigued by why some of the world's largest companies (Netflix, Google, Cisco, Twitter, Uber etc) are using gRPC? In this demo based talk we delve into the world of gRPC in .Net, what it does and why we should use it. We compare the interface with both Rest and graphQL. We will show you how to implement grpc server-side in .net and in the web. Finally, I will show you how the tooling helps you deliver powerful interfaces and interact with them quickly and simply.
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Power your IT infrastructure with Analytics
1.
“POWER” YOUR IT
INFRASTRUCTURE Analytics Drives Quicker ROI Copyright © 2010, SAS Institute Inc. All rights reserved.
2.
Analytics Analytics is the
science of analysis as to how an business arrives at an optimal or realistic decision based on existing data with the application of statistical analysis, forecasting, operations research, probability and predictive modeling / data mining. Analytics is used to discover and understand historical patterns with an eye to predicting and improving business performance in the future by integrating silos of data (structured / unstructured) Source - Wikipedia Uncertainty Measurement of Uncertainty Risk Measurement of Risk 2 Copyright © 2010, SAS Institute Inc. All rights reserved.
3.
Reactive Decision Making
“What happened?” “Where exactly is the problem?” “What if these trends continue?” “How many, how often, where?” “What’s the best that can happen?” “What will happen next?” “What actions are needed?” “Why is this happening?” 3 Copyright © 2010, SAS Institute Inc. All rights reserved.
4.
Proactive Decision Making
“What happened?” “Where exactly is the problem?” “What if these trends continue?” “How many, how often, where?” “What’s the best that can happen?” “What will happen next?” “What actions are needed?” “Why is this happening?” 4 Copyright © 2010, SAS Institute Inc. All rights reserved.
5.
Benefits of Analytics
By applying analytics of payment history, propensity to pay and economic data, a major utility was able to significantly reduce risk and improve collections from its commercial and industrial customers. • 0% - 50% improvement in corporate collections • $8 million improvement in first year • $45 million improvement over five years By forecasting demand with precise prediction a major utility company was able to reduce costs in connection up to 50 percent. By applying analytics on historical demand data and integrating weather data, major utility companies were able to increase the day ahead forecast accuracy • by 3 % saving 7.2 million pounds in the first year of operation. • By 1 % saving 2 million PLN (Zloty) every year 5 Copyright © 2010, SAS Institute Inc. All rights reserved.
6.
Opportunity Utilities have a
significant opportunity to transform the accuracy and reliability of power generation and distribution through the adoption of more intelligent and responsive energy management systems. 6 Copyright © 2010, SAS Institute Inc. All rights reserved.
7.
Critical Areas of
Application 7 Copyright © 2010, SAS Institute Inc. All rights reserved.
8.
Load Forecasting
Over Forecasting • Loss of revenue due to excess supply • Obsolence of energy • Equipment damage and grid indisicpline Economic grid Promote trade in Economic load High Revenue Demand discipline energy & capacity dispatch generation • High Procurement Cost Under Forecasting • Reduced Customer Satisfaction • Loss of revenue due to under-supply 8 Copyright © 2010, SAS Institute Inc. All rights reserved.
9.
Manage Weather &
Event Risk Temperature Various Factors Time of the year Day of the week 9 Copyright © 2010, SAS Institute Inc. All rights reserved.
10.
Powering the forecasting
process 10 Copyright © 2010, SAS Institute Inc. All rights reserved.
11.
Asset Management As a
utility operations manager, I must decide whether to take equipment out of service for needed maintenance. If I take the equipment out of service now, during our critical peak demand period, what will be the impact upon the cost of energy to our customers and to the company? If I defer the maintenance, the risk of equipment failure, unplanned outage and even higher costs is present. How do I improve the availability of network? My maintenance costs are going up and my % unplanned shutdowns are increasing ? What should be the maintenance strategy I need to adopt? How do I reduce cost? How do I reduce my unplanned shutdown by 20 % as I am unable to locate the root cause of failure? How do I reduce the When failure is not an option, risk of aging assets failing in groups? Each Utilities opt for Analytics equipment seems to have a different pattern of failure? How do I develop early warning signals for Partial Discharge? 11 Copyright © 2010, SAS Institute Inc. All rights reserved.
12.
Manage the Asset
Reliability Risk Predictive Component Progression to Failure Predictive Analytics Failure Symptoms Condition Monitoring DCS Alarm Trip Maintenance Cost X Reactive Failure 12 Copyright © 2010, SAS Institute Inc. All rights reserved.
13.
RCA using Analytics
Incident Normal Operation What happened here? time 13 Copyright © 2010, SAS Institute Inc. All rights reserved.
14.
80 % of
Transformer failures are predictable “if a transformer experiences a voltage spike above a certain defined operational level, which lasted longer than a specified duration and the voltage spread was greater than a defined range, then this is an event likely to cause a failure” Early Warnings for Partial Discharge (PD) for insulation breakdown has > 75 % probability of preventing a failure Root Causes is typically unique for each asset based on its own environment envelope in a network 14 Copyright © 2010, SAS Institute Inc. All rights reserved.
15.
Customer Management Ability to
charge on a real-time basis based on Time of Use (ToU) can help shape consumption, reduce peak loads to an extent and help shift certain loads to other times of the day – when the price may be lower Pricing would be real time, available to only a select set of customers and needs to be communicated to the customer. Who are my target customers, What should be the offer price that I should give them? What would be the impact of that offer? Will an offer of 20 % reduction in price result in desired reduction in demand ? Am I able to maximize revenue? Analytics can help acquire this capability 15 Copyright © 2010, SAS Institute Inc. All rights reserved.
16.
Analytics – Redefining
the need Power Supply Chain Management Utilities business needs ? intelligence by adopting analytics 16 Copyright © 2010, SAS Institute Inc. All rights reserved.
17.
SAS Analytics Framework
for Utilities Customer Service Optimize Risk Excellence / High Segment Operational Risk Efficiency Customers Metrics Fraud GIS Modeling Based Monitoring Performance Customer DSM Modeling Optimize Asset Demand Asset ST / Lt Availability Load Forecast Root Cause Analysis Market Modeling Failure Spares Achieve Asset Early Reduce Loses and Integrity Forecast Warnings Increase Savings Excellence 17 Copyright © 2010, SAS Institute Inc. All rights reserved.
18.
Utilities - Strategy
to Execution Dashboard Demand Asset Customer Spare parts Risk Reports Analytics Analytics Analytics Analytics Mgmt Analytics Processes & Models Business Rules Sensor/condition data Customer Data Inspection / Maintenance Utilities Billing Data Analytics Network / Asset Data Data Item / Materials Mgmt Repository Analysis Rate Structure Weather Data Pricing Complaint Data 18 Copyright © 2010, SAS Institute Inc. All rights reserved.
19.
Typical Deployment
19 Copyright © 2010, SAS Institute Inc. All rights reserved.
20.
Case Study
Step 2 Copenhagen Energy Challenge Solution Results Accurate forecasting of Automate forecasting "We expect the costs in connection with the precise predictions to be able to be reduced energy demand for process with SAS by up to 50 percent. So it is a matter of minimal loss Forecasting solution considerable savings." - Mikael Gynther, Energy Market Manager, Integrate solution with Copenhagen Energy operational system 20 Copyright © 2010, SAS Institute Inc. All rights reserved.
21.
Case Study
Leading Energy Distribution Company in India Challenge Solution Results Accurate forecasting Automate Successfully being used to forecast energy forecasting demand at 15 minute intervals of energy demand for minimal UI charges process with SAS Forecasting solution 21 Copyright © 2010, SAS Institute Inc. All rights reserved.
22.
Case Study RWE
AG – one of the top 5 largest energy companies in Europe (43 bln Euro turnover, 20 mln customers in electricity,10 mln in natural gas, 63000 employees) RWE Poland - electricity distributor for more than 850 000 customers in Warsaw and surrounding area. One of 2 private energy companies in Poland (the other is Vattenfall) Improvement of accuracy of forecasts by 1% leads to savings amounted to 2 mln PLN yearly for RWE Poland 22 Copyright © 2010, SAS Institute Inc. All rights reserved.
23.
Select SAS Customers
in Utilities Industry 23 Copyright © 2010, SAS Institute Inc. All rights reserved.
24.
Thank You
www.sas.com Copyright © 2010 SAS Institute Inc. All rights reserved.