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CIOs’ lack of success metrics dooms many AI projects

CIO

Many organizations have launched dozens of AI proof-of-concept projects only to see a huge percentage fail, in part because CIOs don’t know whether the POCs are meeting key metrics, according to research firm IDC. Many POCs appear to lack clear objections and metrics, he says.

Metrics 187
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Steps taken to build Sevita’s first enterprise data platform

CIO

You ’re building an enterprise data platform for the first time in Sevita’s history. We knew we had to bring the data together in an enterprise data platform. We’re doing KPI visualization and trend analysis, and highlighting variances over time. What’s driving this investment? What kinds of data did you want to correlate?

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5 key metrics for IT success

CIO

IT leaders are drowning in metrics, with many finding themselves up to their KPIs in a seemingly bottomless pool of measurement tools. There are several important metrics that can be used to achieve IT success, says Jonathan Nikols, senior vice president of global enterprise sales for the Americas at Verizon.

Metrics 210
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10 AI strategy questions every CIO must answer

CIO

The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Is our AI strategy enterprise-wide?

Strategy 211
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Digital KPIs: The secret to measuring transformational success

CIO

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). Do a little research, and you’ll find many frameworks, taxonomies, and recommendations for digital KPIs.

KPI 211
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Glean aims to help employees surface info across sprawling enterprise systems

TechCrunch

At enterprises of a certain size, keeping track of data including apps, employees, and projects becomes increasingly challenging. The veracity of metrics like these has been challenged over the years. ” No enterprise search tool is without limitations. According to McKinsey, employees spend 1.8 hours every day — 9.3

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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

AWS Machine Learning - AI

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. This blog post discusses how BMC Software added AWS Generative AI capabilities to its product BMC AMI zAdviser Enterprise. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

DevOps 121