CIO

MARCH 26, 2024

For the more specialized IT needs, there just aren’t enough people to meet the demand,” says Michael Manos, CTO of Dun & Bradstreet. But CIOs are also working with niche consultancies and startups for skills in areas such as cybersecurity, AI, cloud, analytics, and DevOps. Double down on vendor management.

Technical Review 312

Technical Review Technical Advisors Development Team Review Artificial Inteligence 312

CTOvision

FEBRUARY 17, 2015

The following is an excerpt: When it comes to cybersecurity, what you don’t know about the nature and sophistication of threats can hurt your organization badly. In this Q&A, Mr. There’s basically four partners: the first one is Bob Gourley, who was the former CTO of the Defense Intelligence Agency.

Fractional CTO 105

Fractional CTO CTO Security Metrics 105

CIO

JANUARY 10, 2024

Be strategic with reserve pricing Reserve pricing for cloud services can reduce resource usage costs by as much as 70%, says David McKee, who in his role as fractional CTO, tech founder, and digital twins thought leader at Counterpoint Technologies acts as a part-time CTO for nine companies in the US and Europe.

Cloud 312

Cloud Technical Review Fractional CTO CTO Coach 312

CIO

SEPTEMBER 21, 2023

The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. You now have the ability to jump over processes that have existed for years, sometimes decades, because of generative technology.” He’s already seeing this in the cybersecurity space. “At Then gen AI came out.

Artificial Inteligence 325

Artificial Inteligence Enterprise Trends ChatGPT 325

Tenable

JANUARY 31, 2024

And, managing who has access to these systems poses a significant challenge. These are the findings from a commissioned survey including 262 IT and security professionals who have the final decision-making authority for their organization’s cloud infrastructure.

Security 60

Security Cloud Fractional CTO Technical Review 60

CIO

JANUARY 3, 2024

There’s bias in both the training data sets and in the results, and there are ethical concerns, runaway costs, integration challenges, model drift, lack of transparency, data security risks, plagiarism risks, and regulatory risks. Established vendors are racing to add generative AI to their products and services as well.

Technical Review 328

Technical Review Generative AI Systems Review Software Review 328