As enterprises continue to invest in AI, they’re encountering pain points around data readiness, governance, security and cost tracking before projects reach scale.
Most technology leaders feel underprepared to handle the pace of AI deployment their organizations require of them, according to IBM data. Immature governance frameworks and a lack of visibility into where AI is running represent two key sticking points.
To help companies address these and other hurdles, vendors are partnering rather than reinventing the wheel, bridging capabilities to help companies get data and systems ready for AI.
From the largest cloud providers to more niche SaaS vendors or chipmakers, some of the biggest names in technology have been steadily teaming up to jointly launch targeted services or enable customers with a way to use products regardless of their tech stack.
Compute capacity, too, is top of mind for leaders. Gartner estimates $2.5 trillion in global AI spending this year, with AI infrastructure driving the bulk of that spend.
The series of partnerships also highlight the effort to prepare enterprise IT stacks for AI compute, as modernizing data estates becomes critical for the business outcomes executives expect from increased automation.
Here are some of the key tech vendor partnerships CIO Dive covered in the past three months:
