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Artificialintelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. Analysts at this week’s Gartner IT Symposium/Xpo spent tons of time talking about the impact of AI on IT systems and teams.
A global survey of 1,775 IT and business executives published today finds 71% are working for organizations that have integrated some form of artificialintelligence and generativeAI capability into their operation, with just over a third (34%) specifically using AI to improve quality assurance.
But the increase in use of intelligent tools in recent years since the arrival of generativeAI has begun to cement the CAIO role as a key tech executive position across a wide range of sectors. In a survey from September 2023, 53% of CIOs admitted that their organizations had plans to develop the position of head of AI.
Despite the many concerns around generativeAI, businesses are continuing to explore the technology and put it into production, the 2025 AI and Data Leadership Executive Benchmark Survey revealed. Only 29% are still just experimenting with generativeAI, versus 70% in the 2024 study.
While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes. The survey is cementing the fact that the IT world is hybrid,” she says. “The
Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. Double down on harnessing the power of AI Not surprisingly, getting more out of AI is top of mind for many CIOs. CIOs are an ambitious lot.
In the face of shrinking budgets and rising customer expectations, banks are increasingly relying on AI, according to a recent study by consulting firm Publicis Sapiens. Even beyond customer contact, bankers see generativeAI as a key transformative technology for their company.
IT leaders are placing faith in AI. Consider 76 percent of IT leaders believe that generativeAI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. But when it comes to cybersecurity, AI has become a double-edged sword.
ArtificialIntelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. From nimble start-ups to global powerhouses, businesses are hailing AI as the next frontier of digital transformation. Nutanix commissioned U.K.
While everyone piled onto crypto in 2021 — and many remain bullish about its future despite multiple failures this year — 2022 saw the rise of generativeAI. TechCrunch recently surveyed more than 35 investors working in different geographies, investment stages and sectors about how they were feeling about next year.
While most provisions of the EU AI Act come into effect at the end of a two-year transition period ending in August 2026, some of them enter force as early as February 2, 2025. Another potentially critical issue is integration with any future national AI laws, which will need to be consistent with the EU Regulation.
This is frustrating for technology providers who have made big bets on AI. A recent survey conducted by Censuswide on behalf of Red Hat polled 609 IT managers across the United Kingdom and other major markets. What’s going on? This is up from 72% last year.
Yes, every board member has played with generativeAI. And yes, I recognize that AI is different because previous hot technologies such as client/server and cloud didn’t get a parking space in the boss’s brain box. But still, few will contest that just about everything associated with IT has become a discussion of generativeAI.
Many organizations have launched dozens of AI proof-of-concept projects only to see a huge percentage fail, in part because CIOs don’t know whether the POCs are meeting key metrics, according to research firm IDC. Thirty-five percent of CIOs said none of their custom-built AI apps made it out of POC.
Since 2022, the tech industry has experienced massive layoffs, as large tech companies have reduced their workforce numbers in response to rising interest rates and emerging generativeAI technology. But, he notes, the data suggests organizations will still need to navigate a skills gap, especially around emerging skillsets such as AI.
The race to implement artificialintelligence solutions across the enterprise is in full swing. Most are using AI to drive down bottom-line costs by doing things quicker or more frequently than they did before. Freeing up potential Just how many work hours will AI save employees?
Despite the huge promise surrounding AI, many organizations are finding their implementations are not delivering as hoped. 1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes.
Nearly nine in 10 business leaders say their organizations data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey. But 84% of the IT practitioners surveyed, including data scientists, data architects, and data analysts, spend at least one hour a day fixing data problems.
GenerativeAI is already making deep inroads into the enterprise, but not always under IT department control, according to a recent survey of business and IT leaders by Foundry, publisher of CIO.com. The survey found tension between business leaders seeking competitive advantage, and IT leaders wanting to limit risks.
The UAE made headlines by becoming the first nation to appoint a Minister of State for ArtificialIntelligence in 2017. This move underscores the country’s commitment to embedding AI at the highest levels of government, ensuring that AI policies and initiatives receive focused attention and resources.
For example, generativeAI went from research milestone to widespread business adoption in barely a year. An IDC study found that usage of generativeAI jumped from 55% of surveyed companies in 2023 to 75% in 2024. According to a recent IDC study, companies using AI are reporting an average of $3.70
The company has already rolled out a gen AI assistant and is also looking to use AI and LLMs to optimize every process. One is going through the big areas where we have operational services and look at every process to be optimized using artificialintelligence and large language models. We’re doing two things,” he says.
AI, and gen AI in particular, are continuing to bombard the enterprise, but the gains to date havent been as big, nor come as quickly, as many business leaders hoped. Thats according to the fourth quarterly edition of Deloitte AI Institutes State of GenerativeAI in the Enterprise report released on Tuesday.
This time, generativeAI applications will become ubiquitous and indispensable machines that just about everyone uses to do things on their behalf. But the jury is already in on generativeAI. In a survey of 500 IT leaders and practitioners released today , only 2% of respondents consider it a threat to their careers.
Research firm IDC projects worldwide spending on technology to support AI strategies will reach $337 billion in 2025 — and more than double to $749 billion by 2028. Those bullish numbers don’t surprise many CIOs, as IT leaders from nearly every vertical are rolling out generativeAI proofs of concept, with some already in production.
Artificialintelligence accelerates order fulfillment On the other hand, B2B sales organizations using generativeAI tools cite improved efficiency, top-line growth, and customer experience as the major benefits they reap from gen AI, according to a survey by McKinsey & Company. 16, 2024, McKinsey.com.
A scramble to invest in artificialintelligence and a natural replacement cycle for computing devices purchased during the COVID pandemic will lead to an 8% increase in global IT spending this year, Gartner predicted. There were very robust stories about how great generativeAI was going to be.” Budgeting, GenerativeAI
Bedrock, meet the Bedrock, it’s part of the modern generativeAI family. From the town of Seattle comes Amazon’s entrance into the generativeAI race with an offering called Bedrock, writes Kyle. A snapshot of the world of AI Beyonce as painted by Frida Kahlo, generated by Stable Diffusion by Haje.
For its GenerativeAI Readiness Report, IT services company Avanade surveyed over 3,000 business and IT executives in 10 countries from companies with at least $500 million in annual revenue.
GenerativeAI has become a top priority among businesses even though IT leaders are expressing concerns about potential ethical issues posed by the technology, according to a new Salesforce survey. Various forms of AI have been used by businesses for decades. GenerativeAI is the latest major development in the field.
Weve been innovating with AI, ML, and LLMs for years, he says. But 76% of respondents say theres a severe shortage of personnel skilled in AI at their organization, according to the August report. Other surveys found a similar gap. But not every company can say the same.
You’re an IT leader at an organization whose employees are rampantly adopting generativeAI. Although it’s early days, as many as 75% of organizations reported quantified outcomes from GenAI projects, with 26% expecting productivity gains, according to a Dell Technologies survey of IT decision makers.
In my previous column in May, when I wrote about generativeAI uses and the cybersecurity risks they could pose , CISOs noted that their organizations hadn’t deployed many (if any) generativeAI-based solutions at scale. What a difference a few months makes. Here’s what I learned. What can organizations do in this area?
Gen AI moved past hype and proved its worth ChatGPT and the generativeAI revolution marked their second anniversary in November 2024. To University of Phoenix CIOJamie Smith, that makes gen AI all grown up. Were moving away from the hype and learning to live with generativeAI, he says.
You don’t have to look further than recent headlines to know generativeAI has garnered outsized attention in 2023. The case for GenAI education as part of IT’s remit At first blush, training and educating users on how to use generativeAI may seem outside the typical scope of IT, but GenAI is not a typical tech transformation.
A survey of 509 software engineers finds nearly three-quarters (72%) are leveraging generativeartificialintelligence (AI) capabilities somewhere in a software development process, with nearly half (48%) reporting they use these tools every day.
In some ways, the rise of generativeAI has echoed the emergence of cloud —only at a far more accelerated pace. And chief among them is that the time is now for IT to get into the driver’s seat with generativeAI. 1 If IT organizations are not afraid of shadow AI yet, they should be. The upsides are palpable.
CIOs feeling the pressure to deploy successful AI projects have a second concern: that they don’t have the money to pull it off. Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI.
For its AI Priorities Study 2023 , Foundry surveyed IT decision-makers who have either implemented AI and generativeAI technologies in their organizations, have plans to, or are actively researching them. Top of those AI priorities for now is generativeAI, with 56% of respondents eager to learn more about it.
Some AI experts have downplayed the technologys potential to replace employees and reduce payrolls, but many IT leaders have a different vision, with more than half saying they expect AI will enable their organizations to cut jobs. Still, the majority see AI eventually taking the place of headcount as well.
Perhaps the most exciting aspect of cultivating an AI strategy is choosing use cases to bring to life. This is proving true for generativeAI, whose ability to create image, text, and video content from natural language prompts has organizations scrambling to capitalize on the nascent technology.
While Microsoft, AWS, Google Cloud, and IBM have already released their generativeAI offerings, rival Oracle has so far been largely quiet about its own strategy. Trailing other generativeAI service offerings? Instead of launching a competing offering in a rush, the company is quietly preparing a three-tier approach.
The usage of generativeAI across enterprises is already widespread, although it is still early days for the new technology, according to a report from McKinsey’s AI consulting service, Quantum Black. Nearly 22% of the respondents said they are using generativeAI for their work.
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