This session will provide a high-level introduction to data science and machine learning (ML) and their proper function in a data-driven organization. It will include key definitions, major trends, data science talent personas and an overview of leading technologies. How do data science and ML fit within the organization’s analytics and AI strategies? What are the early steps D&A leaders should take to invest in data science and ML?

The cloud changed everything. Now the data fabric concept is rapidly transforming how organizations strategize and design their entire data, analytics and AI stack. What are leading organizations doing to change existing analytics ecosystems to maximize the potential of new technologies? What is the current optimal design for the new analytics ecosystems created in the cloud?

Understand key trends influencing the future of ML and data science. Get an insight in emerging ML capabilities that seemed outlandish just a few years ago, but are shaping the future of AI now. Learn about new roles, ideas and paradigms you shouldn't ignore. Plan for the future AI initiatives and improve your current AI solutions.