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The Mainframe Turns 60: A Milestone in Computing History  

OpenText Information Management

Omdia research states , “Mainframes still matter today: while IBM is the last remaining mainframe manufacturer of significance in the market, according to its 2022 annual report, 45 of the world’s top 50 banks run on IBM zSystems. The above examples show that the Mainframe continues to be the engine of many organizations.

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MY TAKE: Apple users show strong support for Tim Cook’s privacy war against Mark Zuckerberger

The Last Watchdog

A recent survey of some 2,000 U.S. And now along comes SellCell’s survey to extensively illustrate something Cook and Zuckerberg, well know: U.S. I asked Elizabeth Rogers, a privacy and data security partner at the law firm of Michael Best & Friedrich , about this. Who knows what consumer privacy in the U.S.

Privacy 196
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Unlocking value: Top digital transformation trends

IBM Big Data Hub

A recent IBM Institute for Business Value survey found that three out of four CEOs say competitive advantage depends on who has the most advanced generative AI. For example, applied ML will help organizations that depend on the supply chain engage in better decision making, in real time.

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Think Ransomware Can’t Put You Out of Business?

Adam Levin

Manufacturing giant Honda had its networks brought to a standstill by just such an attack. In the same survey, 35 percent thought CEOs should be fined for a cyber failure, and 30 percent wanted to see a CEO lose his or her right to run any company following a serious cyber event. 1-99-employee companies are a target.

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Think you’re not susceptible to phishing? Think again

IT Governance

According to a PhishMe survey , many of us think that’s the case. of respondents, and various other celebratory e-cards and employee satisfaction surveys were opened by 17.2% See also: 5 ways to detect a phishing email – with examples. A version of this blog was originally published on 8 January 2018. Fear: 10.4%.

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AI governance: What it is, why you need it, and why it’s essential for your AI initiatives

Collibra

Recent surveys reveal what you probably sense is happening: we are hurtling toward an expansion of AI applications that will touch nearly every industry and organization around the world. Trust issues: We’ve all seen examples where recently released models hallucinated information into existence.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

For example, is the problem related to declining revenue or production bottlenecks? Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.