AI & Data Exchange 2026: Veeam’s Mark Bentkower on overcoming data uncertainty to reduce AI adoption risks
Poor data hygiene can derail AI initiatives before they begin, but Veeam principal technologist suggests ways to avoid data pitfalls.
Showing 1–4 of 4
Poor data hygiene can derail AI initiatives before they begin, but Veeam principal technologist suggests ways to avoid data pitfalls.
Every data leader has a version of this story. A regulatory audit surfaces a metric that doesn’t match across systems. A board member catches conflicting revenue numbers in two reports presented back-to-back. An AI tool generates a recommendation based on data that hasn’t been governed since the analyst who built it left the company two […]
Ahead of the AI & Big Data Expo at the San Jose McEnery Convention Center, May 18-19, we spoke to Jerome Gabryszewski, the company’s AI & Data Science Business Development Manager about AI, processing data for AI ingestion, and local versus cloud compute. The technology media is fond of quoting that data is ‘the new […] The post HP and the art of AI and data for the enterprise appeared first on AI News.
Altara’s AI aims to diagnose failures and help speed up R&D by unifying data siloed across spreadsheets and legacy systems.