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Applying Artificial Intelligence

Using SAS® AI software to build industry-specific use cases

Build your own AI application!

Join us for a series of on-demand industry-specific webinars to learn the benefits of artificial intelligence. You’ll hear about our customers’ successes, see use cases and demos, and learn how to build your own AI application.

We’ll focus on one industry and showcase the application of specific SAS technology. These sessions will present use cases relevant to each industry and give you the tools to build your own demo application. We’ll also give you access to the image and demo script so you can practice creating your own AI demo.

In the second session, we’ll walk you through exercises to show you how it’s done. Then we’ll talk about your successes and answer questions. The second session will be heavily interactive.

Participants will have the opportunity to earn a certificate of completion for each industry event!


Prepare for your session

These sessions assume a basic knowledge of SAS AI-related software. If you want to prepare for these sessions, additional material is available on our Partner Learning Board.


Follow this link, then use your activation code to access the Partner AI Learning Board and accept the user agreement.

Banking 

Software focus:
SAS Visual Data Mining and Machine Learning, Model Studio, SAS Visual Analytics, SAS Visual Text Analytics, SAS Data Management, SAS Studio and REST APIs.


Part 1: Available On-Demand

Overview:
This session explores applications of AI in banking and includes a demonstration of SAS software applied in context. We'll start with a brief introduction of AI at SAS and an overview of adoption of AI in banking. We'll discuss several use cases of AI in banking and show how you can solve these business problems with SAS. And we’ll finish up with a demo and instructions for replicating the demo on your own.

Part 2: Available On-Demand

Overview:
In this session we will walk you through developing a financial services-specific application in SAS. We’ll share step-by-step instructions, including data preparation, model building and model deployment. We'll open it up for questions and discuss your successes.

Presenter

Katherine Taylor

Katherine Taylor, SAS

Katherine Taylor is a senior data scientist in the SAS Global Technology Practice for Artificial Intelligence and Machine Learning. She has many years of experience in analytics, primarily in banking and energy. She holds a master’s in financial mathematics from North Carolina State University and undergraduate degrees in economics and political science from the University of North Carolina at Chapel Hill.

Communications  

Software focus:
SAS Visual Analytics, SAS Visual Statistics, Model Studio.


Part 1: Available On-Demand

Overview:
This session explores applications of AI in communications and includes a demonstration of SAS software applied in context. We'll start with a brief introduction of AI at SAS and an overview of adoption of AI in communications. We'll discuss several use cases of AI in communications and show how you can solve these business problems with SAS. And we’ll finish up with a demo and instructions for replicating the demo on your own.

Part 2: Available On-Demand

Overview:
In this session we will walk you through developing a communications-related application in SAS. We’ll share step-by-step instructions, including data preparation, model building and model deployment. We'll open it up for questions and discuss your successes.

Presenter

Andrew Christian

Andrew Christian, SAS

Andrew Christian is a Principal Solutions Architect within SAS’ Artificial Intelligence Technology Practice. He has been artificially intelligent since joining SAS six years ago. In the 20 years prior to SAS, he mined data and taught machines at companies such as AT&T, Bellsouth, Cox Communications and Sprint. Christian is based in Atlanta, where he attended the Georgia Institute of Technology, earning a bachelor’s in industrial engineering and a master’s in statistics.

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Government   

Software focus:
SAS Decision Manager, SAS Visual Text Analytics , Model Studio, SAS Visual Data Mining and Machine Learning.


Part 1: Available On-Demand

Overview:
This session explores applications of AI in government and includes a demonstration of SAS software applied in context. We'll start with a brief introduction of AI at SAS and an overview of adoption of AI in government. We'll discuss several use cases of AI in government and show how you can solve these business problems with SAS. And we’ll finish up with a demo and instructions for replicating the demo on your own.

Part 2: Available On-Demand

Overview:
In this session we will walk you through developing a government-related app in SAS. We’ll share step-by-step instructions, including data preparation, model building and model deployment. We'll open it up for questions and discuss your successes.

Presenter

Tyler Freckmann

Tyler Freckmann, SAS

Tyler Freckmann is a Systems Engineer with SAS who specializes in hooking SAS APIs up to third-party applications. He works across all industries and use cases, mainly focusing on how to make SAS machine learning models available to AI applications. He has a background on software development and a degree in computer science from UC Berkeley.

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  Banking Part 1
  Banking Part 2
  Communications Part 1
  Communications Part 2
  Government Part 1
  Government Part 2

All sessions available on-demand

 
 

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