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8 data strategy mistakes to avoid

CIO

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Overlooking these data resources is a big mistake.

Strategy 340
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Simple sabotage for software

Erik Bernhardsson

Some of the advice is timeless, for instance the section about “General interference with Organizations and Production”: Insist on doing everything through “channels” Never permit short-cuts to be taken in order to expedite decisions. It laid out various ways for infiltrators to ruin productivity of a company.

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10 cloud strategy questions every IT leader must answer

CIO

It’s no longer a question of whether organizations are moving to the cloud but rather how well it’s going. Companies may have had highly detailed migration or execution plans, but many failed to develop a point of view on the role of cloud in the enterprise. This makes cloud costs a target for finance teams and executives.”

Strategy 362
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Microsoft and Cognizant team up to boost enterprise Copilot adoption

CIO

But the partnership seeks to go beyond Cognizant’s internal use, with Microsoft and Cognizant teaming up to promote generative AI use across Cognizant’s global client base through the advisory and digital transformation services arm of Cognizant’s business.

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Calculating The Cost of Software Quality in Your Organization

OverOps

The following is a guest post from Herb Krasner, an Advisory Board Member for the Consortium for IT Software Quality (CISQ) and industry consultant for 5 decades. In a previous post , we looked at the magnitude and impact of the soaring cost of poor software quality in the US and where those hidden costs are typically found.

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When your AI chatbots mess up

CIO

They don’t present big problems if you’re noodling around with gen AI prompts at home, but in enterprise organizations that are deploying new chatbots to huge numbers of customers and employees, just one AI fabrication can land companies in court. Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete.

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Insights from your JIRA data to help improve your team

Xebia

Many teams are using Atlassian’s JIRA as an issue tracker, which then becomes a valuable source of information for their daily operations. As a team leader utilizing JIRA, you probably have employed JIRA dashboards to monitor the status of work, usually in context of a (release) planning. “won’t fix”).