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How resilient CIOs future-proof to mitigate risks

CIO Business Intelligence

This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. Furthermore, the software supply chain is also under increasing threat.

Risk 105
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5 top business use cases for AI agents

CIO Business Intelligence

Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. Major enterprise software vendors are also getting into the agent game. Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre.

Software 143
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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. But this scenario is avoidable.

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Should I Stay or Go? Migrating to AI-Enabled Applications

David Menninger's Analyst Perspectives

Artificial intelligence-enabled business applications have advanced considerably over the past year as software providers have added a steady stream of capabilities. This includes customer facing, financial, supply chain and workforce software. Most importantly, doing nothing may have a better cost/benefit ratio.

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5 tips for better business value from gen AI

CIO Business Intelligence

Bogdan Raduta, head of AI at FlowX.AI, says, Gen AI holds big potential for efficiency, insight, and innovation, but its also absolutely important to pinpoint and measure its true benefits. That gives CIOs breathing room, but not unlimited tether, to prove the value of their gen AI investments.

Sales 143
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Modular architecture drives productivity and risk management at Gilbane

CIO Business Intelligence

In my view, companies that split up these functions are seeing second-order consequences around communication, costs, and conflict, and are bringing these roles back together. The art is being able to scale the benefits we see on one job across multiple jobs,” she says. “To So they’ll be patient when it comes to ROI.

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5 IT risks CIOs should be paranoid about

CIO Business Intelligence

One question CIOs need to consider today is whether code-generating AIs in software development are contributing to code-level technical debt. Businesses rely heavily on software for innovation and competition, which tends to be riddled with bad-quality code, leading to mounting technical debt,” says Andrea Malagodi, CIO of Sonar. “

Risk 142