This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
As generative AI 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.
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 generative AI capability into their operation, with just over a third (34%) specifically using AI to improve quality assurance.
Generative AI 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 some cases, pilot failure rates of 50% or more have forced organizations to rethink the number of pilots they spin up, Wells says.
Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Misunderstanding the power of AI The survey highlights a classic disconnect, adds Justice Erolin, CTO at BairesDev, a software outsourcing provider.
Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way. Barriers to AI at scale Despite so many organizations investing in AI, the reality is that the value derived from those solutions has been limited.
According to a survey conducted by FTI Consulting on behalf of UST, a digital transformation consultancy, 99% of senior IT decision makers say their companies are deploying AI, with more than half using and integrating it throughout their organizations, and 93% say that AI will be essential to success in the next five years.
And according to a survey conducted for the 2024 Women in Tech Report by Skillsoft , 31% of women technologists are considering leaving their organizations in the coming 12 months, with 37% considering switching jobs in the next year and only 27% of women in tech saying they were extremely satisfied with their jobs.
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. In many cases, organizations appear to be launching POCs without enough preparation, Saroff says.
This report aims to highlight the current state of B2B database and contact acquisition strategies and organizations’ goals to leverage data to fuel their go-to-market strategies in 2020 and beyond. As buyer expectations to receive this type of relevant engagement continues to heighten, database management strategies are of high importance.
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.
If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. In addition to using AI with modernization efforts, almost half of those surveyed plan to use generative AI to unlock critical mainframe data and transform it into actionable insights.
As organizations continue their digital transformation (DX) journeys, the role of the CIO evolves. As digital transformation becomes a critical driver of business success, many organizations still measure CIO performance based on traditional IT values rather than transformative outcomes.
Deloitte surveyed 2,773 director- to C-suite-level respondents experienced with AI, piloting, or implementing gen AI for the Q4 survey between July and September 2024. Key barriers to entry Concern about regulatory compliance has proven a top inhibitor to organizations developing and deploying gen AI tools and applications.
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
Having the right modernization strategy and approach in place can move an organization forward and establish a competitive edge by increasing flexibility, efficiency, and potential. This allows organizations to stay ahead of the game no matter what’s coming down the pike.
For those organizations with bigger AI ambitions, or in an industry that’s being reinvented by AI, the pace will be faster. A Gartner survey of over 300 CIOs found that on average, only 35% of their AI capabilities will be built by their IT teams. In a second quarter 2024 Gartner survey of over 5,000 digital workers in the U.S.,
A survey of 2,039 Java professionals finds 88% work for organizations considering moving away from Oracle Java because of cost, preference for open source software, Oracle sales tactics, uncertainty created by ongoing changes to pricing and licensing and restrictive Oracle policies.
CEOs and CIOs appear to have conflicting views of the readiness of their organizations’ IT systems, with a large majority of chief executives worried about them being outdated, according to a report from IT services provider Kyndryl. But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class.
Computing surveyed 150 individuals representing companies from a wide variety of industries that are actively involved in using, testing, evaluating, or procuring data analytics tools at their organization. Download now to learn: The state of data analytics in end-user organizations.
With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. According to IDCs July 2024 CIO Sentiment Survey , 26% of CIOs identify recruiting, retaining, and upskilling talent as their biggest challenge to success. Take cybersecurity, for example.
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. Over 90% of those surveyed said investments in AI and data were top priorities. The interest in funding AI projects isnt slowing down.
Despite the many concerns around generative AI, businesses are continuing to explore the technology and put it into production, the 2025 AI and Data Leadership Executive Benchmark Survey revealed. The study examined AI and generative AI usage in 125 Fortune 1000 organizations. Survey respondents were equally divided, with 36.3%
Hired surveyed more than 4,000 tech workers to find out which companies rank as their most desirable employers and how other organizations can compete for their attention. Download this report to learn what tech talent values most in a potential employer and how to improve your employer brand.
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.
AI is arguably the hottest topic in enterprise IT, and just shy of three quarters of CIOs surveyed say it is a critical focus for their organization. Our CIO Pulse survey explores CIOs’ AI strategies.
As many as 56% of IT workers 1 say the help desk ticket volume is up, according to a recent survey by software vendor Ivanti. Organizations don’t need to overhaul major business processes to achieve these targeted results, says Taylor. A lot of organizations talk about AI and its benefits at a high level, notes Taylor.
Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. In a recent IFS survey of IT decision-makers in industrial and related industries, 82% of respondents say they’re under significant pressure to adopt AI quickly, he notes. “We
Speaker: Carlos Gonzalez de Villaumbrosia, Founder and CEO of The Product School
Over the past couple of years, organizations have seen exponential growth in products as a direct result of their product teams. Like many product professionals, The Product School was curious about the same question, so they surveyed thousands of product leaders to get their take. Top trends to look out for in 2022 and beyond.
However, barriers such as adoption speed and security concerns hinder rapid AI integration, according to a new survey. Of the 750 CIOs around the world surveyed by Lenovo, 81% said they are already leveraging third-party AI Tools or deploying a mix of third-party and proprietary AI.
In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI. According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. AI adoption is ubiquitous but nascent Enthusiasm for AI is strong, with 90% of organizations prioritizing it. This allows organizations to maximize resources and accelerate time to market.
The arrival of emerging technologies like AI puts organizations under new pressure. Global organizations tell IDC that a dearth of skills has directly led to a host of enterprise and business problems. Global organizations tell IDC that a dearth of skills has directly led to a host of enterprise and business problems.
Organizations that place a premium on understanding product usage seem to have fewer hurdles to aligning price with value and are more in touch with their customers than organizations that don’t prioritize understanding product usage. Efficient usage data collection and analytics can open up significant possibilities for suppliers.
Under pressure to deploy AI within their organizations, most CIOs fear they don’t have the knowledge they need about the fast-changing technology. More than three in five CIOs surveyed by Salesforce say they’re expected to know more about AI than they do, potentially leading to massive and costly deployment mistakes.
The reluctance also reflects AI’s nascency; despite interest, many organizations are not yet ready to fully leverage AI’s capabilities within ITSM. While it might not seem a lot, a 3% improvement in an organization with 6,000 software developments is a whole other product you can put up. The irony is hard to ignore.
For its Generative AI 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. Offering value-added services on top of data, like analysis and consulting, can further enhance the appeal.
In fact, EY’s 202 4 Work Reimagined Survey found that Generative AI (GenAI) adoption skyrocketed from 22% in 2023 to 75% in 2024. Without these critical elements in place, organizations risk stumbling over hurdles that could derail their AI ambitions. The better the data, the stronger the results.
According to Boston Consulting Group (BGC) survey, artificial intelligence isn’t new, but broad public interest in it is. The survey found that people are surprisingly knowledgeable and excited about AI and business leaders should understand and not underestimate consumers when developing and deploying AI-enabled solutions.
In a survey from September 2023, 53% of CIOs admitted that their organizations had plans to develop the position of head of AI. According to Foundrys 2025 State of the CIO survey, 14% of organizations now employ CAIOs, with 40% of those reporting directly to the CEO and 24% to the CIO.
Consider 76 percent of IT leaders believe that generative AI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks.
While 53% of tech execs see AI agents being core to business operations in the next two years, only 29% of IT practitioners see that coming to pass, according to a new survey from uptime monitoring vendor PagerDuty. Other AI experts have warned organizations about building AI agents without outside help.
The pandemic, for one, pushed organizations to accelerate digital transformation to support a remote workforce, and to adapt to global lockdowns, organizations invested in their technology stacks and teams to do so. “IT Several driving factors are behind the mass tech layoffs in recent years.
We organize all of the trending information in your field so you don't have to. Join 49,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content