Sydney Blanchard

On the second day of the Data Summit 2024 conference, Beth Rudden, CEO, Bast.ai, and Lalit Ahuja, chief technology officer, GridGain Systems, Inc., explored themes surrounding modern data management challenges-including AI-driven versioning, implementing taxonomies and ontologies, going real time, and more.

At the annual Data Summit conference, Bharath Vasudevan, head of product, erwin, Quest, led the session, ‘Making AI Ethical & Explainable,’ considered how consistent, clean, and curated datasets are key in bridging the gap between data and the real-world, enabling AI to transcend ‘magic’ and ground itself in transparent truth.

Wayne Eckerson, president, Eckerson Group, led the annual Data Summit pre-conference workshop, 'Data Democratization: How to Build a Self-Service Strategy That Empowers Business Users and Eliminates Data Bottlenecks,' discussing practical, time-tested approaches to data democratization, helping to eliminate data bottlenecks while effectively anticipating business needs. 

Parul Gupta, software engineer, led the Data Summit session, 'Realizing the Promise of Machine Learning,' taking a look at the nuances of AI fairness and bias, and how constraints will play a major role in developing ethical AI systems. 

Nilanjan Chatterjee, senior staff data architect, AMD, led the Data Summit session,  'Becoming an Insights-Driven Enterprise,' guiding attendees through the ways that data observability can be effectively harnessed to power the highest standards of business data, for AI use cases and beyond. 

At Data Summit's opening keynotes, John Lewis, CKO, Explanation Age LLC, Shiva Pullepu, vice president, AI and industry solutions, CrateDB, and Sami Akbay, VP, product management, insightsoftware, each examined the many new paradigms shaping the world of data, from data storytelling to real-time data unification and the way generative AI (GenAI) is transforming business intelligence (BI). 

Bharath Vasudevan, VP of product, Quest Software, led the Data Summit session, 'Getting Your Data AI-Ready,' to explore the ways in which organizations can build resilient data strategies that improve data quality, visibility, and trust while reducing development time, enhancing decision making, and fostering collaboration.

During Data Summit's Day 2 keynotes, Andreas Welsch, founder and chief AI strategist, Intelligence Briefing, and Ebrahim Alareqi, principal machine learning engineer, Incorta, ruminated on the ways AI can be successfully implemented for practical, tangible success. 

David Seuss, CEO, Northern Light, led the Data Summit session, 'Where, When, & Why to Use GenAI,' considering the ways in which text analytics may pose greater value to many search use cases rather than GenAI. 

Sid Probstein, CEO, SWIRL, led the Data Summit session, 'Uncovering Data You Know is There But Can't Find,' exploring the ways in which LLMs can dramatically improve document retrieval.