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Digital addiction detox: Streamline tech to maximize impact, minimize risks

CIO

As Robert Blumofe, chief technology officer at Akamai Technologies, told The Wall Street Journal recently, “The goal is not to solve the business problem. These technologies often do not undergo a complete vetting process, are not inventoried, and stay under the radar. The goal is to adopt AI.”

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CrowdStrike incident has CIOs rethinking their cloud strategies

CIO

The widespread disruption caused by the recent CrowdStrike software glitch, which led to a global outage of Windows systems, has sent shockwaves through the IT community. For CIOs, the event serves as a stark reminder of the inherent risks associated with over-reliance on a single vendor, particularly in the cloud.

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Analyze customer reviews using Amazon Bedrock

AWS Machine Learning - AI

Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement.

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Beyond the hype: Key components of an effective AI policy

CIO

In today’s rapidly evolving technological landscape, artificial intelligence (AI) plays a pivotal role in transforming businesses across various sectors. Understanding the need for an AI policy As AI technologies become more sophisticated, concerns around privacy, bias, transparency and accountability have intensified.

Policies 296
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Modernizing applications: the importance of reducing technical debt

CIO

Technical debt is no longer just a “technical” problem. As recent, widely publicized events have shown, it is a business problem that can have serious consequences for organizations. What is technical debt? The warning signs of technical debt are clear.

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4 steps toward integrating genAI into DevSecOps processes

CIO

With less time lost due to confusion or misunderstandings, DevSecOps teams can devote more of their attention to strategic tasks such as vulnerability remediation. The technology can review code more thoroughly than humans can, identifying patterns that might not seem obvious. Incorporate genAI into existing workflows.

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Technical debt and modernization: three lessons learned

Agile Engine

According to Stripe , that’s exactly how much time dealing with technical debt takes an average software engineer. The CIOs surveyed by McKinsey also state that tech debt amounts to 20–40% of their entire technology estate value. Can you imagine developers spending as much as 13.5