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Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. What are we trying to accomplish, and is AI truly a fit? How does our AI strategy support our business objectives, and how do we measure its value?
To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and economic practices. He advises beginning the new year by revisiting the organizations entire architecture and standards.
As Jyothirlatha, CTO of Godrej Capital tells us, Being a pandemic-born NBFC (non-banking financial company), a technology-first approach helps us drive business growth. Since technology evolves rapidly, ensuring seamless adoption while keeping business teams aligned requires continuous change management.
Leveraging technologies, such as generativeAI and analytics, promises to make data both more meaningful and more rapidly available in the right context. For her part, Daly is planning to keep pace with, and capitalize on, modest innovation initiatives while maintaining operations and continuing to reduce technical debt. “As
And online education company Pluralsight conducted a survey of IT professionals in the US and UK and found that 74% worried AI tools will make many of their daily skills obsolete. For the rest, gen AI will greatly augment the power and value of the role of the CIO, he says. I like driving the business forward.”
Form a strong partnership Forming an effective IT-sales partnership requires embracing a startup mentality, even at large, long-established organizations, advises Amit Vashisht, assistant vice president at retirement services firm Jackson Enterprise Technology. Yet he also advises proceeding with caution.
In the rush to establish technical strategies for making good on the promise of generativeAI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generativeAI.
On the one hand, artificial intelligence has helped both technology departments and the business units to work better, faster, and cheaper. We had to drop some critical projects to all of a sudden deal with AI as it came to the forefront very quickly.” Tech debt and legacy tech Technical debt and legacy tech are both big speedbumps.
I take what I learned in the scriptwriting seminar about passion and the narrative arc into every meeting I attend,” one chieftechnologyofficer said. In that one meeting, I got the green light to invest and I always tried to explain technology in words and narratives that the non-techie board could absorb,” he said. “I
Software incorporating observability technology, enabled by generativeAI, allows an error message to be visually traced back to its source along with recommended steps to address the cause. Many AI systems use machine learning, constantly learning and adapting to become even more effective over time,” he says.
To achieve that, Loura recognized the need to give up time performing the technical work he loved to do more of that decision-making. For example, he took on the CTO role at Rodan + Fields because he “liked the appeal of being part of the product.” NTT i 3 ), a research and development center; and CIO and CTO of Magellan Health.
Legacy tech and all that goes with it Legacy systems and technical debt top the list of common innovation roadblocks. Many organizations still depend on legacy technologies that are costly to maintain, inflexible, and not compatible with modern, agile development practices,” says Christopher Gilchrist, principal analyst at Forrester Research.
Investment mode for some SnapLogic, an integration-platform-as-a-service provider, is among the companies expecting to bump up its IT budget, says Jeremiah Stone, CTO at the company. It’s a good time to invest in generativeAI, as leading companies began to find strong use cases , he says.
through 2026, with sales of low-code platforms growing at 14.1%, and those of intelligent developer technologies roaring ahead at 31.3%. Users without a technical background will typically consider an app from the user interface inwards, she says: “That’s just the mentality that most people approach computing with.”
The biggest challenge is finding talented team members at the market rate,” says Patrick Isaac, CTO at Accuro Solutions, adding that the current environment demands more intensive recruiting efforts. These include not only cyber, but also cloud and generativeAI, he says. Geographical nuances are also arising. The net result?
For the more specialized IT needs, there just aren’t enough people to meet the demand,” says Michael Manos, CTO of Dun & Bradstreet. Labs to co-develop solutions with enterprise IT customers using Dun & Bradstreet’s proprietary data and analytics, generativeAI, and large language models (LLMs).
Schwarz points to generativeAI as a technology that’s suddenly leaped into the IT spotlight. Schwarz says she prizes agile team members who understand business concepts and outcomes, and who have the ability to tell a story that translates technical thoughts into business outcomes. That means you’re learning!”
. – this week published the guide “ Secure-by-Design: Choosing Secure and Verifiable Technologies. ” Titled “ Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, it aims to help organizations “govern, map, measure and manage” risks that are inherent to generativeAI or intensified by it.
Questionable outcomes and a lack of confidence in generativeAIs promised benefits are proving to be key barriers to enterprise adoption of the technology. Most organizations should avoid trying to build their own bespoke generativeAI models unless they work in very high-value and very niche use cases, Beswick adds.
To solve this challenge, RDC used generativeAI , enabling teams to use its solution more effectively: Data science assistant Designed for data science teams, this agent assists teams in developing, building, and deploying AI models within a regulated environment.
Others agree that increased edge processing will naturally emerge alongside the rollout of AI at large. “As As AI applications proliferate in mission-critical enterprise use cases, some of those AI applications will move to the edge,” says Robert Blumofe, EVP and CTO at distributed cloud computing platform company Akamai.
Its a subject close to the CIO of Rockwell Automation, an Nvidia customer and partner at the forefront of edge AI computing. fundamentally redefines how AI capabilities integrate into every facet of our industrial and personal environments. Clean data in will always be critical for a clean output, but its a delicate balance.
CIOs are increasingly doing more software development and technology-focused work as part of their digital transformations, making the adage “every company is a software company” more of a truism with each digital wave. Sometimes, though, agile gets a bad rap, notes Brad Porter, CTO of St.
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