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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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King County enlists AI to reduce drug overdose deaths

CIO

In past years, reporting fatal drug overdoses has largely been a paper- and human-driven process in King County, which shares the information with state and federal agencies. Seattle, the county seat, reported nearly 600 drug overdose deaths in 2022, an increase of 72% from the previous year.

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AES enlists AI to boost its sustainable energy business

CIO

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market.

Energy 321
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Colorado AI legislation further complicates compliance equation

CIO

The legislation requires companies that conduct business in Colorado to disclose to the state’s attorney general “any known or reasonably foreseeable risk of algorithmic discrimination, within 90 days after the discovery or receipt of a credible report.” Governor Polis appreciates the leadership of Sen.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. Model debugging is an emergent discipline focused on finding and fixing problems in ML systems.

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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

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What is data governance? Best practices for managing data assets

CIO

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.