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Oracle’s $115 million privacy settlement could change industry data collection methods

CIO Business Intelligence

“Oracle ultimately produced over 160,000 pages of responsive documents to Plaintiffs, as well as over 283 videos consisting largely of internal discussions of the technical operation of Oracle’s data collection and use practices, spanning approximately 173 hours,” the filing said.

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6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

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Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. This can involve using diverse data sources, conducting regular bias audits and maintaining human oversight to ensure fairness at every stage.

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Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. The Top 6 Benefits of Data Governance.

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Top Solutions for Cybersecurity Regulatory Compliance

Smart Data Collective

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. It’s no secret that hackers have discovered and implemented complex methods to access crucial data from businesses of all sizes across all industries, including the federal government. Diversified Training.

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IT leaders weigh up AI’s role to improve data management

CIO Business Intelligence

The data is then re-transported when the line is available. This doesn’t detract from the fact it’s a very advanced clinical data collection system since it’s digital, in real time, and secure because the data is encrypted on VPN and sent to Emergency’s central data center in Milan.

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete Skomoroch, San Francisco, November 2018. Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering.