HeyJaredJohn Edwards
- Indexed articles, last 90 days
- 4
- Latest publication
- Sep 11, 2026
- Outlet visibility, for InformationWeek
- Top 5M sites
- Earliest in this view
- Jul 23, 2026
Latest articles
How CIOs can tame communication platform chaos (opens the original)
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CIOs now have an almost endless number of ways to communicate with colleagues and teams, which can create issues with cost and cohesion. Repeatedly adding new messaging and other communication platforms can create employee confusion and costly sprawl that CIOs must untangle. While such platforms offer tools to support team productivity, acquiring them willy-nilly can have the opposite effect. In the eyes of tech leadership such as Richard Amos, CIO at systems integrator Blue Mantis, organization
Why CIOs are moving their workloads back on-prem (opens the original)
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Cloud repatriation is gaining ground as CIOs weigh cost, performance and control in deciding where individual workloads belong. After many years of sending workloads into public clouds, a growing number of enterprises are bringing selected workloads back in-house, bucking a trend that until recently seemed irreversible. Today, CIOs and other IT leaders are repatriating certain workloads from public cloud back to on-premises or private cloud infrastructure. The trend has nothing to do with cloud
The multi-cloud AI trap that can become integration hell for CIOs (opens the original)
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The road to vendor diversification is paved with promise — unless it falls victim to the multi-cloud AI trap. There can be benefits to diversifying cloud vendors to support an AI strategy, but if CIOs and CTOs do not maintain control, they risk making data ungovernable. As AI workloads extend across an increasingly diverse technology ecosystem, sensitive data and operational context move along with them, said Brian Gruttadauria, hybrid cloud CTO at Hewlett Packard Enterprise. "The real cost of v
AI succession crisis: Why AI knowledge isn't easily transferable (opens the original)
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What tech leaders need to know about the disappearance of in-house AI knowledge and how they can retool to prevent it. IT leaders now see AI knowledge as critical to success. What's not so widely known is that such knowledge isn't transferable. This poses a huge problem, one that seems to inevitably deepen over time into a new, complex layer of tech debt. Traditional IT systems are usually tied to documented logic: code, configurations, workflows, and system architecture, while AI knowledge is m
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Top 5M sites
For InformationWeek, the outlet · Measured Aug 1, 2026
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