Data Fueling AI of the Future (sponsored by Dell Technologies)

There are many different decisions to make when choosing the right solutions and infrastructure. Drawing on real-world considerations, use cases, and solutions, Nick Curcuru discusses different decisionsand the associated considerations and best practicesMastercard exercised to build and deploy a successful AI.

Purpose, a well-defined problem, and trust from people are important factors to any system, especially those that employ AI. Chris Butler leads you through exercises that borrow from the principles of design thinking to help you create more impactful solutions and better team alignment.

The significant hype bubble building up around AI has convinced many executives that if theyre not already tech savvy, they might not be ready for AIs transformative power. However, the reality is that AI is just another tool that can help your business, and youre probably not that far behind. Vinay Seth Mohta explains how to evaluate AI as you would any other strategic investment.

Jana Eggers explores explainability and transparency as both required and unachievable goals for AI, with a focus on helping teams structure discussions about levels of explainability possible and needed for both user trust and regulatory requirements.

Larry Carin, one of the worlds most published machine learning researchers, discusses the state of the art in machine learning and how it translates to business impact. Along the way, Larry shares examples of how modern machine learning is transforming business in several sectors, including healthcare delivery, security, and back-office business processing.

Effective data governance is foundational for AI adoption in enterprise, but it's an almost overwhelming topic. Paco Nathan offers an overview of its history, themes, tools, process, standards, and more. Join in to learn what impact machine learning has on data governance and vice versa.