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Combined with an April IDC survey that found organizations launching an average of 37 AI POCs, the September survey suggests many CIOs have been throwing the proverbial spaghetti at the wall to see what sticks, says Daniel Saroff, global vice president for consulting and research services at IDC.
From obscurity to ubiquity, the rise of largelanguagemodels (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. In 2024, a new trend called agentic AI emerged.
One is going through the big areas where we have operational services and look at every process to be optimized using artificialintelligence and largelanguagemodels. And the second is deploying what we call LLM Suite to almost every employee. The AI can go deeper than a Google search.”
A lack of AI expertise is a problem, however, when other company leaders often turn to CIOs and other IT leaders as the “go-to people” for solving AI problems, says Pavlo Tkhir, CTO at Euristiq, a digital transformation company. “A The technology is too novel and evolving,” he says. “As
Developers unimpressed by the early returns of generativeAI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says. Some companies are already on the bandwagon.
Agentic AI, the more focused alternative to general-purpose generativeAI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. Vendors could also charge a small price per audio input or output.
Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. Weve been innovating with AI, ML, and LLMs for years, he says. But 76% of respondents say theres a severe shortage of personnel skilled in AI at their organization, according to the August report.
GenerativeAI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.
I explored how Bedrock enables customers to build a secure, compliant foundation for generativeAI applications. Now I’d like to turn to a slightly more technical, but equally important differentiator for Bedrock—the multiple techniques that you can use to customize models and meet your specific business needs.
While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how largelanguagemodels can be used in their organizations. The LLMs, algorithms, and structures that a healthcare payer or provider interacts with represent the visible part of the iceberg.
To help alleviate the complexity and extract insights, the foundation, using different AImodels, is building an analytics layer on top of this database, having partnered with DataBricks and DataRobot. Some of the models are traditional machinelearning (ML), and some, LaRovere says, are gen AI, including the new multi-modal advances.
The early bills for generativeAI experimentation are coming in, and many CIOs are finding them more hefty than they’d like — some with only themselves to blame. CIOs are also turning to OEMs such as Dell Project Helix or HPE GreenLake for AI, IDC points out.
As technologies evolve, CIOs still need to build mutual commitment and support for IT initiatives,” says tech consultant and author Gerald Leonard. To help mitigate these risks, it’s necessary for IT leaders to increase their profile and visibility across the organization, and make sure they educate all potential users. “As
From AI and data analytics, to customer and employee experience, here’s a look at strategic areas and initiatives IT leaders expect to spend more time on this year, according to the State of the CIO. Rev.io’s Phillips is implementing an AI-powered platform to assist his company’s customer success and client support teams in their work.
At Emburse, an expense reimbursement company, software developers use code generation tools like Github Copilot and Amazon Q Developer, which integrate directly into developer environments, says Ken Ringdahl, the companys CTO. Theyre used to automate code generation, improve code structure, and even identify potential defects.
Chieftechnologyofficers are key players in the enterprise C-suite, oftentimes working in collaboration with CIOs at the forefront of new and innovative technologies. They are among the most important hires organizations are making today due to the business value that successful technology deployments can bring.
As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. AI projects can break budgets Because AI and machinelearning are data intensive, these projects can greatly increase cloud costs. Where are those workloads going?
Most recently, in June, it spent $650 million to buy Casetext, a 104-employee company that offers an AI assistant for legal professionals powered by OpenAI’s GPT-4, the same largelanguagemodel (LLM) behind ChatGPT. But that’s not the only big bet the company is making on generativeAI.
GenerativeAI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. Operating profit gains from AI doubled to nearly 5% between 2022 and 2023, with the figure expected to reach 10% by 2025, she adds.
GenerativeAI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. In a recent report, he estimated that gen AI software revenues will grow from $3.7 Then gen AI came out.
Experimenting with the novelty Despite the heavy adoption, CIOs’ concerns about the value of AI doesn’t surprise Ryan Kane, owner of IT managed services provider Soaring Towers. I have found very few companies who have found ROI with AI at all thus far,” he adds. Most companies are simply playing with the novelty of AI still.”
When Morgan Stanley announced its new generativeAI support tools for financial advisors last week, it talked about gaining efficiencies from its notetaking abilities. Jonathan Murray, the chief strategy officer at marketing firm Mod Op, agreed that the Morgan Stanley AI move has significant analytics potential.
The rate of companies that have either already deployed generativeAI or are actively exploring it is accelerating to the point where, combined, there are very few holdouts. The use of gen AI in the enterprise was nearly nothing in November 2022, where the only tools commonly available were AI image or early text generators.
Agentic AIs, a form of technology designed to run specific functions within an organization without human intervention, are gaining traction as enterprises look to automate business workflows, augment the output of human workers, and derive value from generativeAI. Kumar adds.
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.
Additionally, we explored how predictive models could be used to identify the ideal profile for haul truck drivers, with the goal of reducing accidents and fatalities. In an industry where companies typically relied on third-party consultants to analyze their data, we believed our approach was a slam dunk. IT’s image problem?
“With a focus on automation for customer service and telesales functions, we’re looking at intelligent automation solutions that can help improve customer engagement and self-help capabilities,” says Chris Pendergast, the company’s SVP and CTO.
2023 was a year made notable by a range of unexpected, unpredictable, and fast-moving challenges that, despite seemingly having little to do with technology, had profound impacts on IT strategies. Delayed decision-making Bhadresh Patel, chief digital officer at global consulting firm RGP, sees organization’s showing more caution than usual.
CIO packages often include stock options, relocation expenses, and hiring bonuses, says Victor Janulaitis, CEO of consulting firm Janco. The strategic importance of technology leadership has never been greater, especially as organizations attempt to tackle information security, artificialintelligence, cloud transformations, etc.,”
“Technology such as AI is redefining business models, requiring organizations to make the seismic shift from a novice technology organization to a mature and trusted leader,’’ says Raj Sharma, consulting vice chair at EY Americas. “As This work is critical and feeds directly into how the company uses AI.”
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.”
CIOs are hardly Luddites, but even some technologists fret about artificialintelligence, the rapid pace of tech evolution, and their ability to keep up. That’s not to say they’re looking to ditch their roles or smash machines, as the real Luddites had. Rather, they’re stressed about how AI will impact their own organizations.
CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. These include not only cyber, but also cloud and generativeAI, he says. Geographical nuances are also arising.
To Carm Taglienti, the explosion of all things AI over the past few years has been both a pro and a con to IT teams. On the one hand, artificialintelligence has helped both technology departments and the business units to work better, faster, and cheaper. 1 challenge listed.
CIOs are readying for another demanding year, anticipating that artificialintelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. Achieve aggressive AI goals That’s not to suggest CIOs are slowing down their AI work. We’re piloting, PoC-ing.
Jim Warman, vice president of infrastructure architects and engineers at Myriad360, a data center and cybersecurity consulting firm, sees the same trend. The shortage is exacerbated because AI and machinelearning workloads will require modern hardware. Many hardware users are prioritizing replacement.
They start with understanding where technology trends are going, how they relate to business needs, and what skills will be indispensable in the future. The most important action is to ensure that IT staff are kept current with new and critical technologies. Contact us today to learn more. We still need the fundamentals.
Furthermore, of the companies that plan to use AI agents, the biggest use case was in software development, to generate, evaluate, and rewrite code, and 75% said they plan to use AI agents this way. It makes sense that development is the top agentic AI use case, says Babak Hodjat, CTO of AI at Cognizant.
So it’s no surprise that every respondent said that when it comes to gen AI, they’ll either be using it, testing it, or planning projects with it over the next 18 months. Those organizations not taking risks with generativeAI, they’re not going to be able to grow or innovate as quickly, and will lose in the long term.
What they are finding is that the line between advancing technologically and ensuring AI doesn’t result in detrimental outcomes is thin. Here is a look at how CIOs are addressing ethical AI in their organizations. ArtificialIntelligence, Data Governance, GenerativeAI, IT Governance, IT Leadership, IT Strategy
For the more specialized IT needs, there just aren’t enough people to meet the demand,” says Michael Manos, CTO of Dun & Bradstreet. But CIOs are also working with niche consultancies and startups for skills in areas such as cybersecurity, AI, cloud, analytics, and DevOps.
“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. Dirty data or poor-quality data is the biggest issue with AI, Impact Advisor’s Johnson says.
“You need to know where the data’s coming from, how it’s transformed, and what the outputs are,” says Nick Amabile, CEO at DAS42, a data consulting firm. Companies in general are still having problems with data governance.” And with largelanguagemodels (LLM), data governance is in its infancy.
GenerativeAI and, more specifically, ChatGPT captivated the corporate world in 2023, with board directors, CEOs, and other executives fawning (and sometimes fearing) the technology. Their enthusiasm is justified, with multiple studies finding that AI is delivering strong value and returns on investment.
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