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AI projects now start with hiring and fiber, not models
Recent developments in AI projects emphasize the importance of execution capability, highlighted by partnerships such as SSA’s AI RFI, New York’s IBM enterprise agreement, and Zayo’s collaboration with Corning Fiber. These collaborations underscore the necessity of foundational infrastructure, like hiring skilled personnel and establishing robust fiber networks, as prerequisites for effective AI model deployments. The shift indicates a focus on operational readiness and infrastructure as critical components in the successful implementation of AI technologies.
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Key facts, context, and what it means, in one minute.
Infrastructure and skilled workforce are now crucial starting points for AI projects, more so than model development.
Collaboration with established technology and infrastructure providers is pivotal for effective AI execution.
Execution capability is increasingly seen as a constraint in AI initiatives, with companies prioritizing operational readiness.
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- SSA seeks direction for new enterprise AI strategy ↗· FedScoop
- Kyndryl, Broadcom expand partnership to push private clouds for AI work ↗· Network World
- <a href="https://www.govtech.com/artificial-intelligence/ibm-enterprise-deal-gives-new-york-state-ai-cloud-tool-access” rel=”nofollow noopener” target=”_blank”>IBM enterprise deal gives New York state AI, cloud tool access ↗· Government Technology
- <a href="https://www.telecompetitor.com/zayo-signs-long-term-agreement-with-corning-to-help-meet-ai-demands/” rel=”nofollow noopener” target=”_blank”>Zayo signs long-term agreement with Corning to help meet AI demands ↗· Telecompetitor
- Artificial intelligence and business strategy ↗· MIT Sloan Management Review
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The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.
