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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. The potential cost can be huge, with some POCs costing millions of dollars, Saroff says.

Metrics 187
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How to evolve your DTC startup’s data strategy and identify critical metrics

TechCrunch

Direct-to-consumer companies generate a wealth of raw transactional data that needs to be refined into metrics and dimensions that founders and operators can interpret on a dashboard. But in our experience, we’ve learned that you’ll inevitably find yourself asking questions that your off-the-shelf extensions simply can’t answer.

Metrics 245
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Bandit ML helps e-commerce businesses present the most effective offer to each shopper

TechCrunch

Conti acknowledged that there’s other discount-optimizing software out there, but he suggested none of them offers what Bandit ML does: “off the shelf tools that use machine learning the way giants like Uber, Amazon and Walmart do.” The startup was part of the summer 2020 class at accelerator Y Combinator.

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What to expect from AI in the enterprise in 2025

CIO

This year saw the initial hype and excitement over AI settle down with more realistic expectations taking hold. This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected.

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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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CaptivateIQ raises $46M for its no-code sales commissions platform

TechCrunch

Also, in recent years, companies have access to more data than ever, giving them room to incentive employees on more performance metrics.” . Existing backers Amity, S28 Capital, Sequoia and Y Combinator also participated in the financing, which brings the San Francisco-based company’s total raised to $63 million since its 2017 inception.

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NeuraLight aims to track ALS, Parkinson’s and more with an ordinary webcam

TechCrunch

This confidence crisis in the data needs an objective metric to be mitigated, and that’s what NeuraLight, based in Austin and Tel Aviv, is building. This, along with other eye movements and metrics, has been linked to neurological disorders for years in numerous publications. ” Image Credits: NeuraLight.