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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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Banks bet on AI to deliver digital efficiencies

CIO

As the study’s authors explain, these results underline a clear trend toward more personalized services, data-driven decision-making, and agile processes. According to the study, the biggest focus in the next three years will be on AI-supported data analysis, followed by the use of gen AI for internal use.

Banking 212
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How AI orchestration has become more important than the models themselves

CIO

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. million on inference, grounding, and data integration for just proof-of-concept AI projects.

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

TechCrunch

Michael Perez is director of growth and data at M13. 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. Evolving your startup’s data strategy. Contributor. Share on Twitter.

Metrics 245
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CIOs’ lack of success metrics dooms many AI projects

CIO

Many organizations have launched gen AI projects without cleaning up and organizing their internal data , he adds. We’re seeing a lot of the lack of success in generative AI coming down to something which, in 20/20 hindsight is obvious, which is bad data ,” he says. Access control is important, Clydesdale-Cotter adds.

Metrics 187
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Drone data scanning company Skycatch announces a $25M raise

TechCrunch

The process of generating high-precision, centimeter-accurate data is extremely difficult. Image Credits: The company’s technology works with off-the-shelf drones, including ones manufactured by DJI. Image Credits: The company’s technology works with off-the-shelf drones, including ones manufactured by DJI.

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‘Just-in-time’ AI: Has its moment arrived?

CIO

And although AI talent is expensive , the use of pre-trained models also makes high-priced data-science talent unnecessary. Just as Japanese Kanban techniques revolutionized manufacturing several decades ago, similar “just-in-time” methods are paying dividends as companies get their feet wet with generative AI. The timeliness is critical.