CTO Security Vendor Management 
CIO
OCTOBER 21, 2024
At Gitex Global 2024, a panel of top cybersecurity leaders delivered a clear message: cybersecurity is no longer just the responsibility of the cybersecurity team or the Chief Information Security Officer (CISO). Cybersecurity must be at the core of every organization.
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.
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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.
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
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.
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.
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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