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Generative AI & data: Potential in cybersecurity if the risks can be curtailed

CIO Business Intelligence

Artificial intelligence (AI) in 2023 feels a bit like déjà vu to me. Back in 2001, as I was just entering the venture industry, I remember the typical VC reaction to a start-up pitch was, “Can’t Microsoft replicate your product with 20 people and a few months of effort, given the resources they have?”

Risk 136
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What is a Scrum master? A key role for project success

CIO Business Intelligence

Scrum Alliance, established in 2001, is one of the more influential organizations in the agile community. Develop strategies for managing risks, as well as risk tracking. Scrum master certifications Two well-recognized organizations, Scrum Alliance and Scrum.org , offer Scrum training and certifications.

Software 117
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What Executives Should Know About Shift-Left Security

CIO Business Intelligence

The term was first coined by Larry Smith in 2001. As such, bringing security all the way “left” to the coding phase wraps security around the source of what malicious actors attempt to attack, leading to the greatest reduction in risk of exploits possible. This creates risks. How did the term shift-left security originate?

Testing 52
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Clean Harbors’ CIO: Hybrid approach to the cloud is a win-win

CIO Business Intelligence

“Our strategy in taking a hybrid approach has provided the agility we need to do advanced services in the cloud as we go through our digital transformation,” says Gabriel, who joined the company in 2001 and was promoted to executive vice president and CIO of Clean Harbors in 2018.

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What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. How does ITIL help business?

IT 105
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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. A very big mess since circa 2001, and now becoming quite a dangerous mess. for DG adoption in the enterprise.

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Data Science, Past & Future

Domino Data Lab

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Along with your database servers, you had, data warehousing and business intelligence. I can point to the year 2001. Then things changed.