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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. The customer really liked the results,” he says.

Metrics 187
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Kraftful wants to lift the veil with analytics for makers of smart home hardware

TechCrunch

You can’t swing an outdated Python manual in this town without hitting half a dozen app analytics suites, but the same cannot be said if you’re a product manager hoping to figure out where you lose customers for smart home hardware. “There isn’t much product analytics in most apps for connected hardware.

Hardware 224
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Meet the ex-Amazon satellite engineers wanting to disrupt hardware workflow

TechCrunch

Imagine building some of the most sophisticated hardware-driven technologies in the world — spacecraft, drones or autonomous vehicles. She wasn’t referring to the sophistication of the tools, but the way in which the hardware production toolset is balkanized across both teams and tasks. VC and technologists.

Hardware 206
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How to talk to your board about tech debt

CIO

When you reframe the conversation this way, technical debt becomes a strategic business issue that directly impacts the value metrics the board cares about most. Rather than discuss “legacy systems,” talk about “revenue bottlenecks,” and replace “technical debt” with “innovation capacity.”

How To 205
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Can serverless fix fintech’s scaling problem?

CIO

This included both the hardware cost, the operational staff required to support the solution and the cost of building the features. To accurately measure this metric, we decided to look at the number of hours spent on computing-related issues and the number of incidents overall. Time to market. Operational efficiency. Scalability.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Each hardware failure can result in wasted GPU hours and requires valuable engineering time to identify and resolve the issue, making the system prone to downtime that can disrupt progress and delay completion.

Training 113
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TechCrunch+ roundup: VC robotics survey, Visa Bulletin update, SaaS engagement metrics

TechCrunch

4 SaaS engagement metrics that attract investors Ask Sophie: How many employment green cards are available each year? ” CeFi and DeFi in the face of regulation TechCrunch+ roundup: VC robotics survey, Visa Bulletin update, SaaS engagement metrics by Walter Thompson originally published on TechCrunch

Survey 183