2019 Agenda

Enterprise-wide AI programs are no small investment. Ensure meaningful returns on this investment with a strategy to support AI and machine learning. Develop a plan to:

• Assess your AI/ML capabilities
• Determine the objectives of AI/ML for your organization
• Track the success of your program

Make your AI and machine learning program a success with a strategic plan.

Mike explores the requirements for artificial neural networks, including traditional Convolution Networks (CNNs), Recurrent Neural Networks (RNNs) and Generative Antagonistic Neural Networks (GANs), factors that limit scalability at the host, network and filesystem layers and provides best practices for circumventing limitations and potentially accelerating training and scaling inference predictively.

The demand for qualified big data experts has outpaced the labour supply. Position yourself to compete for the best and brightest in the field. Create a plan to:

• Identify and attract top talent
• Work with universities to create a supply of qualified big data experts
• Compete for talent against Silicon Valley and other markets

Develop a plan to attract and retain top big data talent.

Artificial Intelligence is the science of training systems to emulate human specific tasks through learning and automation. An AI application serves to automate and accelerate work that would otherwise take human resources and time. Machine Learning provides the intelligence that powers the AI application. We present an example of an AI app: a website where applicants can simply add house location and attributes to estimate home value for a mortgage application. A machine-driven estimate and decision are returned instantly. We will uncover the process of building this app--from Data Preparation and Machine Learning to Deployment.

How are you leveraging chatbots to ease customer interaction, save on resources, and when is human interaction crucial?

There is a growing demand for better Healthcare IT and Analytics to drive better patient care services and business decisions. Analytics require managed data platform as a foundation for Business Intelligence, Data Mining and Advanced Analytics with modern data visualization. Data Management is an essential process that provides data governance, data modeling, and data visualizations.
In this session, I will share how we are developing an Enterprise Data Management Platform and build a better innovative analytical program to introduce new technologies that help in solving complex business issues.

Many non-profit regulatory bodies face a pressure of being an effective and efficient regulator but having limited funding. In order to achieve its organizational objectives and meet KPMs, organizations must take advantage of collected data and use machine learning to identify trends, patterns and certain indicators that are crucial in making informed decisions about the future. Take back to your office strategies to:

• Introduce affordable machine learning solution to your organization
• Use predictive analytics to optimize the usage of your resources and effectiveness of your programs and processes
• Tell the story through data visualization

Take away practical ideas that you can apply to your organization on how to introduce proactive approach toward regulation and foster a data-driven culture.

Session Details Coming Soon

Recent breakthroughs in the domain of Artificial Intelligence applications have brought Machine Learning to the forefront of new generations of data analytics. In this workshop, we will present the practice and design trade-offs of building Machine Learning applications for production data and workflow on Big Data platforms.

Join us as we:

• discuss business challenges and best-practices to implementing AI & Machine Learning
• identify use cases that best fit your organization
• provide a foundation to build and productionize Machine Learning applications.

Walk away with a preliminary plan to better understand your data and the impact it will have in your Machine Learning use case.

The event is designed to educate, inform and inspire organizations across all verticals. We look forward to seeing you there!

Users of all skill levels can visually explore data and create analytically driven visualizations while tapping into powerful in-memory technologies for faster computations and deeper discoveries. This easy-to-use, self-service data visualization and analytics software can handle all your data, putting approachable and deep analytics in the hands of all users.

Facilitated by SAS experts, this 3- hour workshop is designed to teach you to uncover hidden opportunities, identify key relationships and make more precise decisions to drive success.

In this hands-on workshop, you will learn how to:

• Go from data to insight with the SAS Platform
• Data Exploration
• Investigating the Modeling Data
• Model Building, Discussion and Assessment
• Building, Fitting and Comparing Predictive Models Using Pipelines in Model Studio
• Model Management and Scoring
• Managing a Champion Model and Scoring