CIO
APRIL 27, 2023
But despite the bumpy year, demand for technology skills remains strong, with the US tech unemployment rate dropping to 1.5% For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. as of January.
CIO
JUNE 8, 2023
Relevant skills for the role include a technical background in IT and a strong working knowledge of IT infrastructure, databases, networks, hardware, and software, along with knowledge of data analytics, change management, vendor management, and leadership and team management skills.
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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.
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.
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.
CIO
SEPTEMBER 21, 2023
The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. AI vendor management Only the biggest companies are going to build or manage their own AI models, and even those will rely on vendors to provide most of the AI they use. Then gen AI came out.
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.
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