ANALYTICS AND DATA SUMMIT 2020

The data lakehouse is the future for modern data teams seeking to innovate with a data architecture that simplifies data workloads, eases collaboration, and maintains the flexibility and openness to stay agile as a company scales. The Databricks Lakehouse Platform realizes this idea by unifying analytics, data engineering, machine learning and streaming workloads across clouds on one simple, open data platform. In this session, learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload, with examples of real-customer applications, reference architectures and demos to showcase how you can create modern data solutions of your own.

The annual Summit (previously known as the annual Symposium) is the largest annual data science and AI event on campus. The event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).

At the October Virtual Summit, our speakers will brief you on technology trends in data and analytics. You’ll learn how to evaluate which ones are right for your business and prepare to deploy them for maximum business value. TDWI research analysts will give you a clear view of important trends and developments, backed by in-depth quantitative research. Expert speakers will help you understand new technologies and find the ones that are right for your business, and case study speakers will share their own journeys with you.

Join us on 8 November 2022 from 10:00–22:00 GMT at the ODI Summit, where you can hear from world leading data and AI experts, including the inventor of the World Wide Web, Sir Tim Berners-Lee and AI expert Sir Nigel Shadbolt addressing the data challenges we will all face in the years ahead.