Enterprise Strategy Group (ESG) research indicates 54% of organizations will have Generative AI (Gen AI) in production within the next 12 months. Yet, despite this ambition, several challenges remain: a lack of employee expertise, ethical concerns, and data quality top the list. How can you circumvent these roadblocks?
Join this session to grasp the newest Gen AI advancements and apply them in your business.
ESG, Senior Analyst
At Enterprise Strategy Group, Mike focuses on all things data, analytics, and AI. His passion shines through in helping organizations improve everything from go-to-market strategies and messaging to product development and content creation.
Mike has a strong technical background, with early roles in software and hardware engineering focused on future product feasibility, modeling, and performance. He gradually moved into roles that interfaced with marketing by helping translate deep technical concepts into understandable business benefits.
AWS, Sr. Partner of Data & Analytics
Antony Prasad Thevaraj is a Sr. Partner Solutions Architect in Data and Analytics at AWS. He has over 12 years of experience as a Big Data Engineer, and has worked on building complex ETL and ELT pipelines for various business units. He helps partners build joint solutions using AWS services.
Neo4j, Head of Product Innovation
Michael Hunger has been passionate about software development for more than 30 years. For the last 12 years, he has been working on the open source Neo4j graph database filling many roles, most recently leading the Developer Relations Neo4j team.
Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open source projects, and contributing and writing software-related books and articles. Michael has spoken at numerous conferences and helped organize several of them. His efforts got him accepted to the JavaChampions program.