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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. To fully leverage AI and analytics for achieving key business objectives and maximizing return on investment (ROI), modern data management is essential.

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3 steps to get your data AI ready

CIO

As they embark on their AI journey, many people have discovered their data is garbage, says Eric Helmer, chief technology officer for software support company Rimini Street. For many CIOs, preparing their data for even one AI project is a tall order. They arent sure where it is among hundreds of different systems in some cases.

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Traceable AI nabs $60M to secure app APIs using machine learning

TechCrunch

Bansal saw the writing on the wall four years ago, he said, when he cofounded San Francisco-based Traceable with CTO Sanjay Nagaraj. Businesses need machine learning here. You can no longer easily buy or hire security people, so you need to solve these vulnerabilities via technology.” ”

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eqtble, a platform that uses data analytics to create healthier workplaces, raises $2.7M seed

TechCrunch

Without people, you don’t have a product,” says Joseph Ifiegbu, who is Snap’s former head of human resources technology and also previous lead of WeWork’s People Analytics team. Ifiegbu joined WeWork’s People Analytics team in 2017, when the company had a total of about 2,000 employees.

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CAIOs are stepping out from the CIO’s shadow

CIO

With generative AI on the rise and modalities such as machine learning being integrated at a rapid pace, it was only a matter of time before a position responsible for its deployment and governance became widespread. In many companies, they overlap with the functions of the CIO, the CDO, the CTO, and even the CISO.

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What is data architecture? A framework to manage data

CIO

Data architecture principles According to David Mariani , founder and CTO of semantic layer platform AtScale, six principles form the foundation of modern data architecture: View data as a shared asset. AI and machine learning models. Real-time analytics. Application programming interfaces.

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Immunai raises $60M as it expands from improving immune therapies to discovering new ones, too

TechCrunch

The startup’s unique edge is in combining the largest and richest data set of its type available, formed in partnership with world-leading immunological research organizations, with its own machine learning technology to deliver analytics at unprecedented scale.