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The 2024 Board of Directors Survey from Gartner , for example, found that 80% of non-executive directors believe their current board practices and structures are inadequate to effectively oversee AI. To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies.
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.
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.
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.
47% of marketers said they have a database management strategy in place, but there is room for significant improvement. As buyer expectations to receive this type of relevant engagement continues to heighten, database management strategies are of high importance.
To attract and retain top-tier talent in a competitive market, organizations must adopt innovative strategies that help identify the right candidates and create a cultural environment where they can thrive. Leveraging Technology for Smarter Hiring Embracing technology is imperative for optimizing talent acquisition strategies.
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.
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.
CIOs annual State of the CIO Survey, now in its 24th year of publishing, highlights how IT leaders shaping enterprise strategy, enabling growth, and leading cultural change. Besides AI/ML, CIOs are focusing on cybersecurity, product innovation, and business strategy alignment. What areas are CIOs spending more time on in 2025?
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.
Modernization is a complex process that requires the right strategy to be successful. 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.
When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG. Is your organization overdue for an IT systems update? Here are seven signs it may be time to modernize.
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.
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.
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.
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.
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.
Our job is to think about technology and introduce technology, but were really here to solve business challenges, says Mills, executive vice president and chief technology, digital, and corporate strategy officer for Tractor Supply. We need to train the organization to leverage AI to solve business problems, not just to create something new.
Data strategies in the balance In addition to a data visibility gap between levels of IT management, quality problems often come from piecemeal IT infrastructure, with many companies using multiple IT vendors products to achieve desired functionality, says Anant Agarwal, co-founder and CTO at Aidora, developer of AI-powered HR software.
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.
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
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.
Organizations must navigate frameworks like the EU’s General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and sector-specific mandates such as the Health Insurance Portability and Accountability Act (HIPAA).
Additionally, 84% of leaders believed their organizations had strong teamwork compared to 60% of team members. Worse, issues that undermine IT culture may not appear in these KPIs or employee satisfaction surveys for months.
The worldwide push to digital has quickly promoted the IT department from its back-room origins to the upper reaches within any company or organization. It doesn’t come as any surprise then that technology-related change is the second most important business priority for CEOs after growth, according to Gartner’s 2024 CEO survey.
She is now CEO of 10Xresponsibletech, a consulting company focused on helping organizations design, integrate, and adopt business-aligned and responsible AI strategies. In a recent interview, Bhimani talked about the importance of thinking about ethical uses of AI and how it can benefit both humanity and individual organizations.
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.
Just 25% of AI initiatives in recent years have lived up to ROI expectations, according to CEOs surveyed by the IBM Institute for Business Value. Meanwhile, organizations have achieved enterprise-wide rollouts with only 16% of AI projects. Part of the problem has been that organizations dont know what theyre getting into.
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.
To deliver truly transformational benefits, businesses need to modernize their ITSM strategy by breaking down barriers between the organization and their end users. Deploying a modern ITSM strategy So how can companies arrive at this picture? The upshot of successfully providing ITSM is numerous.
Take for example our latest Pulse C-suite survey , published in January where 86% of surveyed executives plan to up their investment in generative AI in 2025, and 60% expecting their gen AI solutions to be scaled across the business a major jump from 36% in 2024. The evidence is everywhere.
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.
Perhaps the most exciting aspect of cultivating an AI strategy is choosing use cases to bring to life. This is proving true for generative AI, whose ability to create image, text, and video content from natural language prompts has organizations scrambling to capitalize on the nascent technology. New data suggests a mixed-bag approach.
Its certain that AIs lightbulb moment will come, as well as that for agentic AI, as firms move from digital-first to AI-first strategies. On the flip side, smaller organizations or newer players who arent weighed down by those constraints are moving faster and with more flexibility.
As such, organizations that create a governance, risk, and compliance (GRC) framework specifically for AI are best positioned to get the most value out of the technology while minimizing its risks and ensuring responsible and ethical use. Generative AI is a ubiquitous resource available to employees across organizations today, Hundemer says.
Hiring skilled personnel is the top priority for any HR manager , as the organization’s success is directly linked to the quality of professionals in its ranks. For an IT organization, this process assumes even greater importance as the rapid pace at which technology is progressing; you can never have enough talented workers.
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.
Modern CIOs are expected to contribute to areas that stretch far beyond the confines of the traditional IT organization. The board might have previously looked to other executives for the lead on strategy, value, and commercial growth, but modern CIOs must step up and take responsibility for areas once assumed by other business leaders.
UIPaths 2025 Agentic AI Report surveyed US IT execs from companies with $1 billion or more in revenue and found that 93% are highly interested in agentic AI for their business. Many organizations are in the process of moving AI hype into calculated action. So what are these specific workflows that more autonomous AI can supercharge?
A sharp rise in enterprise investments in generative AI 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. However, only 12% have deployed such tools to date.
Major unanticipated increases in cloud spending, driven largely by increased use, arent spurring CIOs to rethink IT strategies beyond tactical shifts in how they attempt to rein in costs in the cloud. Organizations should also look at the types of cloud resources they consume, he advises.
The problem of “ghost jobs” is being addressed by a growing number of researchers and companies, analyzing their impact on the labor market and the strategies used by employers. For example, a study conducted by MyPerfectResume found that as many as 81% of recruiters admit to posting fake job offers.
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. So often organizations can be caught up in the appeal of a shiny new thing, which can create unintended consequences. CIOs are an ambitious lot.
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