Join us as we welcome you to Radar: Forward Edition, highlighting the state of data & AI literacy today and what the future holds for data & AI.

Rapid advancements in LLMs (Large Language Models) have significantly lowered the barrier for individuals and teams to interact with complex data. In addition, Generative AI (GenAI) has become a central focus for many data teams, reshaping their priorities and focus points. In this session, Laura Gent Felker, Senior Director of GTM Analytics at MongoDB, Anjali Samani, Senior Director of Data Science Analytics at Salesforce, and Anushka Anand, Director of Product Management at Salesloft, will explore the impact of LLMs and GenAI on analytics and data functions in 2025, how they will lower the barrier to entry for working with data, the skills data teams need to develop, and a lot more.

As businesses have spent years migrating their operations and data to the cloud, the question arises: are we approaching the end of the cloud migration journey? In this session, Teena Piccione, Global Transformation & Operations Executive at Google, Paddy Srinivasan, CEO at DigitalOcean, and Jeff Hollan, Head of Applications and Developer Platform at Snowflake, will explore what the future holds for cloud infrastructure, how to best approach managing complex cloud ecosystems, the intersection of data management and cloud, and a lot more.

Many organizations have heavily invested in Generative AI initiatives throughout 2024, but are still struggling to see tangible returns on these investments, prompting many executives to ask: Where's the payoff? In this session, Tom Davenport, Distinguished Professor at Babson College, Daniel Hulme, Chief AI Officer at WPP and CEO at Satalia, Michelle Bonat, and Chief AI Officer at AI Squared, will discuss strategies to turn GenAI investments into positive ROI in 2025, how to align GenAI projects with business goals, optimize AI-driven workflows, and measure their success.

As AI continues to permeate throughout the organization, Learning and Development (L&D) teams are facing unprecedented demand to enable AI literacy across their organization. Moreover, they are able to leverage AI-driven tools for personalized learning, skill development, and talent growth. In this session, Amanda Bickerstaff, Founder at AI for Education, Chris Skees, Learning Product Manager at Cisco, and Eric Lagally, Academic Director and Associate Dean at Western Governors University, will discuss how AI is reshaping the L&D function, how to best drive AI literacy for the wider organization, and how learning teams can future proof their workflows for 2025 and beyond.

As AI continues to advance at breakneck speed, many wonder if the rapid growth will sustain or if the current AI boom is headed for a slowdown, prompting many observers to ask: Is the AI bubble about to burst? In this session, Arvind Narayanan, Professor at Princeton University and Author of AI Snake Oil, and Lin Qiao, CEO and Cofounder at Fireworks.ai, will discuss the state of AI hype, whether this wave of innovation is going to plateau, what to expect from GenAI in 2025, and a lot more.

Cap off the day with an AMA with Maggie Remynse-Chou, VP of Curriculum at DataCamp, Cornelius Lejeune, VP of Product at DataCamp, and Ryan Meuse, Head of Product for DataLab at DataCamp.