Whose Hardware Will Run Analytics, AI and ML Workloads?

42% of respondents exclusively rely on third-party cloud providers’ hardware built to build AI/ML models, but only 12% will do so three years from now. Instead, a majority will use a combination of both on-premises and public cloud. Many companies may have gone first to cloud providers because they wanted to quickly launch AI/ML activities. These same companies may migrate to on-premises environments for specialized workloads to reduce costs as they scale-up into production or use proprietary data.

Gartner Purchase of Corporate Executive Board Would Address Changes in IT Advisory Market

Originally published in The New Stack. IT analyst firms come and go, but for years the Big Three — Gartner, Forrester Research and IDC — have been a constant. Gartner’s recently announced plans to acquire Corporate Executive Board (CEB) for $2.6 billion builds on Gartner’s core strength (end user readership) while addressing an industry headwind (shifting […]