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.
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Read full articlePoor 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 […]
The recent move by Anaconda to acquire Outerbounds is aimed directly at a gap between experimentation and production, where workflows often fail to run consistently across environments. Instead of replacing […] The post Anaconda Moves to Control AI Workflows with Outerbounds Buy appeared first on AIwire.
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.
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…
If you scroll through job postings right now, you’ll see a pattern. Plenty of roles asking people to train models, fine-tune outputs, build agents and automate workflows. Fewer ones are asking for the kind of judgment that used to sit at the center of how decisions get made. At the [...] The post SAS Innovate 2026: Will people matter as AI scales? appeared first on SAS Blogs.
The way organizations support collaboration today still varies widely from space to space. Small huddle rooms, project spaces, and large boardrooms often come with different setups, different workflows, and different expectations. For employees, that inconsistency creates friction. For IT teams, it creates complexity. And for organizations, it quietly undermines the promise of hybrid work. What’s becoming clear is that the meeting room is no longer just a physical space. It is where hybrid work either flows or fails. Meetings remain the backbone of collaboration Despite new ways of working, meetings remain central to how teams align, make decisions, and move projects forward. People come to the office not to sit behind individual screens, but to connect, co‑create, and build momentum together. In a hybrid reality, those moments increasingly involve a mix of in‑room and remote participants. That places a new kind of pressure on meeting spaces. They must support different group si