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Businesses have always struggled with IT skills shortages, but the accelerating arrival of new technologies such as AI has widened the shortage gap even further, resulting in business delays, lower customer satisfaction, and loss of revenue, according to a recent report from research firm IDC.
Most innovators don’t have a technical background, so it’s hard to evaluate the truth of the situation. And unless they have a tech background, they can’t look under the hood themselves. The answer is to engage a trusted outside source for a TechnicalReview – a deep-dive assessment that provides a C-suite perspective.
Identifying high-potential talent in tech hiring is one of the most critical challenges organizations face today. With rapid advancements in technology, the demand for skilled, adaptable professionals has never been greater. Adaptability In the fast-changing tech landscape, the ability to learn and adapt is invaluable.
In the fast-paced world of tech recruiting, finding the perfect candidate can feel like searching for a needle in a haystack. Resumes can be deceiving, and traditional interview formats may not always give you the full picture of a candidate’s technical abilities. This is where live coding interviews come in.
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A new area of digital transformation is under way in IT, say IT executives charged with unifying their tech strategy in 2025. Adopting emerging technology to deliver business value is a top priority for CIOs, according to a recent report from Deloitte. But that will change. “As
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The report also highlighted that Chinese groups continue to share malware tools a long-standing hallmark of Chinese cyber espionage with the KEYPLUG backdoor serving as a prime example. They complicate attribution due to the often short-lived nature of the IP addresses of the nodes being used.
Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. This technology already exists.” The technology exists, but it’s very nascent,” he says.
Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo
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An IT consultant is a technology professional who advises and supports business clients in designing, developing, and executing technology projects in service of business goals. IT consultants are often hired to provide companies guidance on what technologies they should use to achieve their aims, according to career website Indeed.
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Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO. We’re in publishing, but it’s the accompanying services that differentiate us on the market; the technology component is what gives value to our business.”
The report also highlighted that Chinese groups continue to share malware tools a long-standing hallmark of Chinese cyber espionage with the KEYPLUG backdoor serving as a prime example. They complicate attribution due to the often short-lived nature of the IP addresses of the nodes being used.
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Industry benchmark: The average Time to Fill can vary by industry, but for tech roles, it can range from 30 to 45 days. However, some top-performing companies manage to fill positions in as little as 14 days, especially when leveraging automated screening tools and skill-based assessments.
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Most CIOs and CTOs are bullish on agentic AI, believing the emerging technology will soon become essential to their enterprises, but lower-level IT pros who will be tasked with implementing agents have serious doubts. There arent a lot of places to learn about agents now, other than hands-on experience, he adds.
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Managing agentic AI is indeed a significant challenge, as traditional cloud management tools for AI are insufficient for this task, says Sastry Durvasula, chief operating, information, and digital Officer at TIAA. Current state cloud tools and automation capabilities are insufficient to handle the dynamic agenting AI decision-making.
It was one of my tools in my toolkit, she says. But the rapid pace of tech advancements and disruptive market shifts has prompted some CIOs, such as Hausheer, to abandon the practice. They say its not worth mapping out a three-year plan when a transformative new technology could emerge seemingly overnight.
Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology. People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models.
Sometimes it actually creates more work than it saves due to legal and compliance issues, hallucinations, and other issues. These technologies can produce more content that everyone needs to consume and be aware of,” says Anita Woolley, professor at Carnegie Mellon University. With too many tools, you’re always playing catch up.
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The status of digital transformation Digital transformation is a complex, multiyear journey that involves not only adopting innovative technologies but also rethinking business processes, customer interactions, and revenue models. Business is too dependent on technology as a key driver for both business value and differentiation.
Increasingly, however, CIOs are reviewing and rationalizing those investments. because the scale of compute power required would be too costly to reproduce in house, says Sid Nag, VP, cloud, edge, and AI infrastructure services and technologies at Gartner. Are they truly enhancing productivity and reducing costs? Judes Perry.
Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1]
Meanwhile, “traditional” AI technologies in use at the time, including machine learning, deep learning, and predictive analysis, continue to prove their value to many organizations, he says. As the gen AI hype subsides, Stephenson sees IT leaders reevaluating their strategies in favor of other AI technologies.
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And there are thousands of gen AI-related open source tools, on top of the models themselves. According to Baris Sarer, who leads the AI division of Deloittes technology, media, entertainment and telecommunications industry practice, Metas Llama model is the one that shows up most in industry deployments, followed by Mistral.
However, it appears that even though VCs are proceeding more cautiously than before and taking their time with duediligence, they are still investing. We are excited to see how entrepreneurs leverage these tools to enhance our archaic B2B payments ecosystem. Would you say you are conducting more duediligence?
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