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
But this year three changes are likely to drive CIOs operating model transformations and digital strategies: In 2024, enterprise SaaS embedded AI agents to drive workflow evolutions , and leading-edge organizations began developing their own AI agents.
Its been a year of intense experimentation. Now, the big question is: What will it take to move from experimentation to adoption? The key areas we see are having an enterprise AI strategy, a unified governance model and managing the technology costs associated with genAI to present a compelling business case to the executive team.
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. Spending still increasing Even with mixed results in the past year, many companies are planning to increase their gen AI spending in 2025 and beyond.
Forrester Research this week unleashed a slate of predictions for 2025. 2025 will be about the pursuit of near-term, bottom-line gains while competing for declining consumer loyalty and digital-first business buyers,” Sharyn Leaver, Forrester chief research officer, wrote in a blog post Tuesday.
in 2025, one of the largest percentage increases in this century, and it’s only partially driven by AI. Gartner’s new 2025 IT spending projection , of $5.75 Gartner’s new 2025 IT spending projection , of $5.75 in 2025, but software spending — four times larger than the data center segment — will grow by 14% next year, to $1.24
We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3 CIOs should consider placing these five AI bets in 2025.
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. AI spending on the rise Two-thirds (67%) of projected AI spending in 2025 will come from enterprises embedding AI capabilities into core business operations, IDC claims.
While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. In 2025, thats going to change. Here are five keys to addressing these issues for AI success in 2025. Change management creates alignment across the enterprise through implementation training and support.
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.
The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Is our AI strategy enterprise-wide?
Between building gen AI features into almost every enterprise tool it offers, adding the most popular gen AI developer tool to GitHub — GitHub Copilot is already bigger than GitHub when Microsoft bought it — and running the cloud powering OpenAI, Microsoft has taken a commanding lead in enterprise gen AI.
In celebration of the 100th anniversary of the discovery of quantum mechanics, United Nations has declared 2025 as the International Year of Quantum Science and Technology. If that milestone catches you off guard, dont be surprised, as much of the activity and focus around quantum computing happens with little fanfare.
Gartner also recently predicted that 30% of current gen AI projects will be abandoned after proof-of-concept by 2025. Operating profit gains from AI doubled to nearly 5% between 2022 and 2023, with the figure expected to reach 10% by 2025, she adds. What comes up must come down.”
CIOs have been moving workloads from legacy platforms to the cloud for more than a decade but the rush to AI may breathe new life into an old enterprise friend: the mainframe. Many enterprise core data assets in financial services, manufacturing, healthcare, and retail rely on mainframes quite extensively. At least IBM believes so.
That’s because employees have decidedly mixed feelings about AI coming to their workplaces, according to the recent survey by IT solutions integrator Insight , even as many enterprises are already adopting or experimenting with AI and as AI-enabled phones begin hitting the market. They need to have a culture of experimentation.”
These new, digitally enhanced worlds, realities, and business models are poised to revolutionize both life and enterprise in the next decade, as explored in Accenture’s recent Technology Vision 2022 report. Enterprises are at the front lines of establishing trust and have the unique ability to define the human experience in these new places.
Data scientists at Bayer have developed several proofs of concept of generative AI models on the new platform that remain in discovery and evaluation phase for “efficacy,” McQueen says, adding that the models won’t be in production until 2025. The R&D pipeline is pretty highly confidential at this point,” he says.
But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. for internal enterprise exploration. First, we launched a private instance of GPT-3.5
And, yes, enterprises are already deploying them. Proliferation of agentic AI According to a Capgemini survey of 1,100 executives at large enterprises, 10% of organizations already use AI agents, more than half plan to use them in the next year, and 82% plan to integrate them within the next three years.
By 2025 nearly all data generated will be in real-time. A disruptive mindset creates an environment that embraces constant experimentation and change. But knowing what to do with that data, and how to do it, is another thing entirely. . Poor data quality costs upwards of $3.1 trillion a year. Stability during Uncertainty .
This shift from relational to graph approach has been well-documented by Gartner who advise that “using graph techniques at scale will form the foundation of modern data and analytics” and “graph technologies will be used in 80% of data and analytics innovations by 2025.”
Enterprises see the most success when AI projects involve cross-functional teams. By 2025, according to Gartner, chief data officers (CDOs) who establish value stream-based collaboration will significantly outperform their peers in driving cross-functional collaboration and value creation.
The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.
All that means that, even if the next generation of IBM Z were to be the last (an unlikely prospect given its investment in the new Telum chips), the company would likely still be selling mainframes through July 2025 and supporting them through December 2033. Z as a service.
As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago. AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.
CIO.coms 24th annual 2025 State of the CIO research , which surveyed 906 IT leaders and 250 LOB professionals, confirms IT leaders are ramping up their strategic focus this year, in part to convert early AI experimentation into initiatives that deliver measurable business results. Anu Khare, senior vice president and CIO, Oshkosh Corp.
As businesses shift from experimentation to execution in the age of AI, CIOs are stepping into their most strategic role yet. 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. The CIO has never mattered more.
Qu impulsa las prioridades de transformacin digital en 2025? Con base en esos y otros criterios, presentamos tres prcticas de transformacin digital en las que los CIO podran enfocarse ms en 2025, y tres que vale la pena reemplazar por otras estrategias o prcticas.
As more generative AI projects move from proof-of-concept to production, CIOs will be shouldering the additional pressure of enacting AI governance policies to protect the enterprise — and their jobs. Like many enterprises, TruStone has deployed a companywide generative AI platform for policies and procedures branded as TruAssist.
From growing the business to weathering economic uncertainties to remaking enterprise operations, CEOs today rely on their CIOs to help solve the top business challenges they face as chief executives. In its 2025 CEO and Senior Business Executive Survey , research firm Gartner also notes the importance of AI to CEOs growth agendas.
1] The next horizon for savvy enterprises seeking to automate at hitherto unseen levels of scale in 2025 is agentic AI. 2] Moreover, Dell itself has been able to drive clear enterprise value through its own AI transformation, learning vital lessons that it can share. This may be the reality for many, but it is not inevitable.
But many enterprises stopped their agile transformations at this layer. Today, enterprise CIOs can still benefit from making the transition to product-based IT and product management practices that focus on customers, business outcomes, and iteratively delivering technology capabilities.
By fostering a shared vocabulary that includes market dynamics, revenue models, customer needs and strategic priorities, organizations can bridge the gap between IT and business leadership, enabling more cohesive, value-driven decision-making across the enterprise.
The Challenge for Enterprise Architects Enterprise Architecture (EA) is at a crossroads. While EA leaders have long been positioned as key enablers of digital transformation, the rapidly shifting business landscape of 2025 presents new pressures. Unfortunately, many EA teams are failing to evolve fast enough.
El crecimiento del gasto en infraestructura cloud sigue impulsado por las inversiones en servidores acelerados para iniciativas de IA y grandes proyectos de HPC, afirma en el informe Juan Pablo Seminara, director de Worldwide Enterprise Infrastructure Trackers de IDC.
As a result, ITs investments in AI are up, with the percentage of the IT budget earmarked for AI projects nearly tripling from last year, according to the 2025 CIO Playbook from Lenovo and research firm IDC. CEOs, their boards, and the rest of the C-suite continue to push AI as a strategic imperative. Cros is not alone in that assessment.
AI investment and pressure grew upward As AI has moved from emerging to mainstream, and organizations matured in their ability to harness AIs potential over the past year or two, CEOs now expect less experimentation and more AI projects that deliver outcomes with measurable business value.
My commentary: I think this is a huge underestimated opportunity, and I already covered it as one of my “ big ideas for 2025 “ 3. Generative AI for Enterprise Digital Twins Idea: AI creates “digital twins” of entire business processes to simulate different operational scenarios. We’re not there yet 6.
We organize all of the trending information in your field so you don't have to. Join 42,000+ 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