Over the past decade, the speed at which data, analytics and AI has been reshaping our lives is accelerating. Now, it is even more important for enterprises to build and implement analytics in an intelligent manner.
Leading organizations need to design, build, and deploy their analytical applications and models in a robust, yet flexible manner. All organizations want their analytics applications and models to not only operate but to perform in a highly effective manner.
We will discuss the recent innovations that enable new levels of flexibility and performance from analytical software and environments enabling high performance and operational impact.
In this session we’ll be discussing innovations relating to automated insight discovery, Explainable AI (XAI) and model portability.
We will discuss:
How to insights can be discovered in data without expert derived hypotheses The importance of an ensemble of varied and diverse data The current state of XAI The fundamental requirement of model portability to edge analytics
In this session, we will walk through the process of succeeding in the analytics journey. We will examine the best approach to building a corporate analytics function and optimal approach to building a robust analytics environment. We will examine how to manage a high performing analytics environment to deliver analytical models and applications that are implemented and used in daily operations to improve organizational efficiency and effectiveness. Be ready to ask questions, this will be an interactive and open discussion.
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