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CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. This creates new risks around data privacy, security, and consistency, making it harder for CIOs to maintain control.

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Data center provider fakes Tier 4 data center certificate to bag $11M SEC deal

CIO Business Intelligence

Allegations of fraud and security risks The indictment details that the fraudulent certification, combined with misleading claims about the facility’s capabilities, led the SEC to award Jain’s company the contract in 2012. The scheme allegedly put the SEC’s data security and operational integrity at risk.

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Bubble Wrap: How Eurovision Monitors Covid Risk at Events

CIO Business Intelligence

The Eurovision Song Contest, by the way, is the world’s largest live music event, organized each year in May by the local organizer and the European Broadcasting Union. Live at Eurovision: a Bluetooth App to Navigate Covid Risk. Flockey provides his team with a dashboard for real-time visualization of crowd movement and risks.

Risk 98
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Enterprises willing to spend up to $250 million on gen AI, but ROI remains elusive

CIO Business Intelligence

C-suite executives naturally have a distinct advantage in understanding gen AIs potential to solve business problems, enhance workforce productivity, and provide a strategic edge, said Abhishek Gupta, CIO at Indias leading satellite broadcaster Dish TV.

ROI 81
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7 Ways Data Monetization is Changing the Information Technology Job Market

Smart Data Collective

Each additional node increases the risk of collisions between packets. Discovering Broadcast Interference Patterns Digital broadcasting is a lot like networking in that an increase in the number of devices occupying a channel will boost the amount of packets lost to attenuation.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

Yet, finance textbooks, programs, and professionals continue to use the normal distribution in their asset valuation and risk models because of its simplicity and analytical tractability. Pad a dim so we broadcast fed probs against CC interest rates. Time-variant distributions for asset values and risks are the rule, not the exception.

Modeling 207
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It’s Not Magic if it is Producing Real Global Benefits and Business Value

Rocket-Powered Data Science

If we cannot make these technologies available for everyone, we risk perpetuating a divide between the haves and have-nots. It is imperative that something be done about this, to close those digital gaps, to bring the benefits of digital services to all, and to boost the global digital business value chain.

IT 183