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The countrys initiatives focused on empowering women in technology, education, and innovation are beginning to pay off, as more female AI engineers and researchers emerge. This investment in womens education is enabling many to break barriers and step into previously male-dominated fields like AI research and development.
As the chief research officer at IDC, I lead a global team of analysts who develop research and provide advice to help our clients navigate the technology landscape. Our research indicates a scramble to identify and experiment with use cases in most business functions within an enterprise.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago.
Organizations look at digital transformation as an opportunity to radically improve operations and increase the value of a product or service to the customer by embedding technology into the decision-making fabric and building automation into its functions.
Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researchinginnovations to expand and refine their technology stacks.
There is no single solution to success, but the research highlights some key plays UAE business leaders need to home in on to build a truly AI-driven enterprise. Regulation will play a key role in the successful implementation of AI and will be just as much of a priority as innovation is for leaders,” said Karl Crowther, VP of MEA at Alteryx.
While the ROI of any given AI project remains uncertain , one thing is becoming clear: CIOs will be spending a whole lot more on the technology in the years ahead. 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.
A recent report from the Ministry of Communications and Information Technology, King Abdullah University of Science and Technology, and consultancy firm Hello Tomorrow highlights the rapid growth of deep tech startups in Saudi Arabia, with 50% of these startups focusing on AI and IoT.
Rather than discuss “legacy systems,” talk about “revenue bottlenecks,” and replace “technical debt” with “innovation capacity.” Operational drag (interest): “Our teams spend 25% of their time on workarounds rather than innovation.” Our research reveals that top performers allocate around 15% of their IT budget to debt remediation.
To drive change, a reworking of what defines CIO/IT success is needed, with a focus on strategic business goals, innovation, and market differentiation. Business is too dependent on technology as a key driver for both business value and differentiation. The CIO is no longer the chief of “keeping the lights on.”
Salima Bhimani has been encouraging the responsible and ethical use of AI for several years as Alphabet’s first chief strategist and director for inclusive and responsible technology, business, and leaders from 2017 to 2023. Now, we have to think about innovation as a way of really reshaping the world so that it works for everybody.
NTT DATAs landmark Global GenAI Report underscores how the technology is gaining momentum. Furthermore, nearly two-thirds of C-suite respondents, specifically, expect GenAI to be a game changer over the next two years and plan to invest significantly in the technology. There is no going back.
Forrester Research this week unleashed a slate of predictions for 2025. Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Others won’t — and will come up against the limits of quick fixes.”
Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. CIOs should create proofs of concept that test how costs will scale, not just how the technology works.”
With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. As the pace of technological advancement accelerates, its becoming increasingly clear that solutions must balance immediate needs with long-term workforce transformation.
Saudi Arabia has announced a 100 billion USD initiative aimed at establishing itself as a major player in artificial intelligence, data analytics, and advanced technology. These include data center expansion, tech startups, workforce development, and partnerships with leading technology firms.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. The foundation of the solution is also important.
Digital transformation represented among the largest investments in technology to modernize businesses starting in the early 2000s. From there, the phrase went viral among practitioners, media, researchers, and executives as it described strategic plans for competitiveness and growth.
Imagine navigating a rapidly changing landscape, where technology seems to evolve at the speed of light and the pressure to keep up is relentless — this is the reality for today’s CIO. CIOs face the daunting challenge of driving innovation while managing costs and ensuring practical implementation in a rapidly advancing digital landscape.
What revolutionary technology were they referring to? But in the short run, we risk building an astonishing, awe-inspiring technology that few use. Just look at Apple’s Vision Pro as a tale of a brilliant piece of technology that the world is still trying to wrap its mind around. Instead, it needs to be coupled with innovation.
Lastly, voluntary frameworks have been proposed by many countries such as Singapore and Japan, to encourage AI innovation. The Law provides a set of frameworks that are as comprehensive as the EU AI Act, with the intention of balancing the need for innovative AI development with the need to safeguard society. and countries of the EU.
This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies. Imagine a hacker compromising a healthcare database and simply changing the blood type of every individual in a research study or the entire patient population.
Its first customers include Aurora Innovation, which makes self-driving software for commercial trucks, and game developer Niantic, which is building a 3D map of the world. The skills Uber requires its new gig workers to have vary, Chris Brummitt, the company’s senior director for communications in Asia-Pacific, said via email.
“The critical element lies in automating these steps, enabling rapid, self-learning iterations that propel continued improvement and innovation.” However, research demonstrates that more executives, like Schumacher, recognize the connection between AI and business innovation.
Technology continues to advance at a furious pace. That’s great, because a strong IT environment is necessary to take advantage of the latest innovations and business opportunities. Assuming the biggest challenge is technology-based, there are few problems that can’t be easily solved, Hafez says.
According to Foundry’s State of the CIO 2024 study, technology leaders will be focused on driving digital innovation, redesigning processes, and modernising infrastructure and apps in the next three years in order to stay ahead. Tackling these requires innovation, built from a base of experience and knowledge.
Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Nutanix commissioned U.K. Nutanix commissioned U.K.
Recent research from IDC, undertaken in partnership with Lenovo, found that 88% of observed POCs dont make the cut to widescale deployment. IT managers are leveraging this trend to try to get greenlights for broader technology efforts, Andersen says. For every 33 AI POCs a company launched, only four graduated to production, IDC found.
But some companies, particularly in the IT sector, now appear to be reevaluating their business models and will consider selling non-core lines of business and products to fund AI projects, says James Brundage, global and Americas technology sector leader at EY, an IT and tax advisory firm.
Early adoption of these technologies will empower businesses to continuously refine their strategies, evolve with customer expectations, and create more intuitive, human-centered experiences. As Gen AI capabilities expand, so too will the opportunities for innovation and differentiation.
Or we can make the right things more efficient while also charting a new path and harness this technology to truly transform into AI-first businesses. Added up, perhaps these are among the reasons that 51% of companies have not seen an increase in performance or profitability from digital investments, according to KPMG research.
They may publicly preach “No technology for technology’s sake,” but they still frequently share their fascination with the latest tech gadgets. It’s then that the hopes for the technology get way ahead of what it can actually deliver today. They’re not the only ones enthralled by tech. Here’s what they say on the topic.
What really matters is determining how to fit every function together to achieve unified goals — chiefly IT and its business counterparts, given the importance technology has organizationwide. It allows businesses to be the best technologically enabled version of themselves,” Upchurch says.
The reason for this shift is simple: While CIOs can often call on talented teams of internal IT professionals to deliver business solutions, no technology department can be expected to generate every innovation necessary to compete in a fast-moving digital age. I would say, right now, I’m a technologist last.
As SaaS and other technology companies began to abandon traditional project management, product-based IT became a bold shift to business value. Product management addresses the complexities of market research and product strategy definition.
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
The intersection of AI, software, and data management is set to revolutionize healthcare and will serve as a critical driver of medical innovation and improved patient outcomes. But successfully adopting this mix of emerging and advanced technologies can be daunting and complex. These applications also extend into drug research.
We’re an IT company that’s very integrated into the business in terms of applications, and we put innovation at the center. We’re in publishing, but it’s the accompanying services that differentiate us on the market; the technology component is what gives value to our business.” But there’s an even more essential area for Pacetti.
The trick is to ensure they are cashing in on the promise of the technology with real, tangible benefits. But as with any technological investment, AI is what companies make of it. AI investments can also serve as a unifier between humans and technology – helping us to learn better, communicate clearly, and connect faster.
With technology rapidly shaping business outcomes, and the tech infrastructure supporting every aspect of business, CIOs much deservedly now occupy a seat at the table. For Shajy Thomas, Regional Head of Tech APAC at Technicolor, technology actively contributes to shaping long-term business outcomes.
But in order for AI to expand, we need new networking technology that boosts transmission speeds and improves responsiveness. Innovative Optical and Wireless Network (IOWN). NTT, for example, has long been committed to research and development into natural language processing technology. Innovation The answer?
Were still very early in the journey, but its only going to get better, says Dwight Klappich, a research vice president at Gartner. But while there is significant investment and innovation going on, Gartners Klappich sees still fairly limited use cases, mostly proof of concepts. In terms of that increased focus on AI, Figure.AI
However, successful AI implementation requires more than cutting-edge technology. By ensuring consistent, high-quality product data, we enable businesses to unlock AIs full potential to drive growth, innovation, and exceptional customer experiences. Learn more about Akeneo Product Cloud here.
Despite these opportunities, Tencent Cloud faces challenges from competitors, requiring a careful balancing act between innovation and market adaptability. Tencent Cloud’s deployment of palm verification for secure identity authentication, particularly in collaboration with Telkomsel in Indonesia, underscores its ability to innovate.
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