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As generativeAI begins takes hold in business, who does what work and how organizations will be structured will inevitably change, particularly at the leadership and management levels, according to a new survey from Capgemini in which 1,500 managers from 500 organizations and 15 countries participated.
CIOs are under increasing pressure to deliver meaningful returns from generativeAI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. However, unlocking the full value of AI remains elusive, with four critical challenges standing in their way.
A global survey of 1,775 IT and business executives published today finds 71% are working for organizations that have integrated some form of artificial intelligence and generativeAI capability into their operation, with just over a third (34%) specifically using AI to improve quality assurance.
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.
To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.
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.
Whether you’re moving at an AI-steady or AI-accelerated pace, you have to deliver value and outcomes.” With that as a backdrop, Gartner analysts offered a number of takes on AI throughout the symposium. A Gartner survey of over 300 CIOs found that on average, only 35% of their AI capabilities will be built by their IT teams.
Overwhelming majorities of executives around the world are planning to spend money on generativeAI this year, but very few are truly ready for the technology, according to a survey released today by the Boston Consulting Group. GenerativeAI There’s very few legal folks who have expertise in this area,” he noted.
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.
This week, I am diving deeper into what generativeAI means, or doesn’t mean, for enterprise buyers. But in the back of my mind, I also kept thinking about some of the report’s comments about generativeAI — and not just because superlative takes on the topic have been ubiquitous ever since. Sign up here.
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.
GenerativeAI playtime may be over, as organizations cut down on experimentation and pivot toward achieving business value, with a focus on fewer, more targeted use cases. In an April survey, IDC found that, on average, organizations had launched 37 AI proof-of-concept projects, with a small minority reaching production.
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.
The road ahead for IT leaders in turning the promise of generativeAI into business value remains steep and daunting, but the key components of the gen AI roadmap — data, platform, and skills — are evolving and becoming better defined. MIT event, moderated by Lan Guan, CAIO at Accenture.
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.
Almost all leaders surveyed have already invested in GenAI, while more than 80% have established expert or robust GenAI teams. Long-term game Business leaders are turning their focus from experimenting with GenAI to exploring long-term use cases that transform business performance and workplace culture for the better.
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.
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.
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
Almost all leaders surveyed have already invested in GenAI, while more than 80% have established expert or robust GenAI teams. Long-term game Business leaders are turning their focus from experimenting with GenAI to exploring long-term use cases that transform business performance and workplace culture for the better.
United Parcel Service last year turned to generativeAI to help streamline its customer service operations. Customer service is emerging as one of the top use cases for generativeAI in today’s enterprise, says Daniel Saroff, group vice president of consulting and research at IDC.
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.
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.
Many organizations are mortgaging their futures by reallocating IT resources from long-term projects to achieve short-term wins, according to a recent survey of CEOs. Two-thirds of CEOs surveyed by the IBM Institute for Business Value acknowledge raiding long-term IT projects to achieve short-term goals.
The firms survey of IT leaders from North America, Asia, and Europe found that a shortage of IT skills has caused delays in product development at 54% of organizations, with 58% reporting product or service quality issues as well. The impacts are huge here, Smith adds. It can greatly speed and improve training outcomes.
As the GenerativeAI (GenAI) hype continues, we’re seeing an uptick of real-world, enterprise-grade solutions in industries from healthcare and finance, to retail and media. But beyond industry, however, there are factors that play into the success or failure of GenerativeAI projects. It’s not all bad news, though.
If any technology has captured the collective imagination in 2023, it’s generativeAI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.
New data from Gartner reveals the productivity gains generativeAI is creating among supply chain employees. More than seven-in-10 (72%) of 265 global supply chain executives surveyed by Gartner in August 2024 said their organizations have deployed generativeAI. appeared first on OODAloop.
GenerativeAI reminds me of ball bearings: the technology is relatively inexpensive, highly adaptable and a proven way to reduce friction. Investors have taken notice: CB Insights reports that VCs poured $49 billion into AI last year, a 40% jump from the year before.
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.
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.
More than three-quarters of those answering a survey from Microsoft say they don’t want to give Copilot up once they’ve used it, and 85% said the AI tool helps them produce a first draft faster. The fear of the blank page Many of those surveyed by Microsoft aren’t paying the bill, however.
GenerativeAI (GenAI) is having a renaissance, but few industries are experiencing this like healthcare. The 2024 GenerativeAI in Healthcare Survey , however, does a better job at that. The 2024 GenerativeAI in Healthcare Survey , however, does a better job at that.
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.
A sharp rise in enterprise investments in generativeAI is poised to reshape business operations, with 68% of companies planning to invest between $50 million and $250 million over the next year, according to KPMGs latest AI Quarterly Pulse Survey.
“No company got out of 2023 without having a story about how much better their company was going to be, how much better their products were going to be, how much better their customers’ lives were going to be because of generativeAI,” he said. There were very robust stories about how great generativeAI was going to be.”
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.
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.
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.
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 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.
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. But also because Kyle ’s story about Amazon entering the generativeAI race was the most-read story on TechCrunch today.
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.
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.
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