4 myths about AI in hiring, debunked

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.

For teachers, advocating for your classroom and students isn’t just about the big, visible moments, but the quiet ones: the follow-up email, the extra conversation, the willingness to try again after hearing “no.”

Why PR agencies need a media intelligence layer in 2026. Learn how unified, normalized data improves media selection, reporting consistency, and multi-client workflows.

What people actually look for when hiring juniors that stand out. The post How to Get Hired in the AI Era appeared first on Towards Data Science.

Companies are taking control of their own data to tailor AI for their needs. The challenge lies in balancing ownership with the safe, trusted flow of high‑quality data needed to power reliable insights. This conversation from MIT Technology Review’s EmTech AI conference examines how AI factories unlock new levels of scale, sustainability, and governance—positioning data…