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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. What are we trying to accomplish, and is AI truly a fit? Theres been a lot of that over the past year and a half, Mason observes.
Youre under this pressure unless youve given up and relinquished responsibility for formulating the organizations technology vision to a chief digital officer, chieftechnologyofficer, or some other titled individual whose job is to make promises you as CIO are supposed to keep. Dont do that.
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.
The launch of ChatGPT in November 2022 set off a generativeAI gold rush, with companies scrambling to adopt the technology and demonstrate innovation. For many enterprises the return on investment for gen AI is elusive , he says.
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. The reason is because enterprises look for some predictability.
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.
“These technologies can produce more content that everyone needs to consume and be aware of,” says Anita Woolley, professor at Carnegie Mellon University. There’s already more low-quality AI content flooding search results, and this can hurt employees looking for information both on the public web and in enterprise knowledge repositories.
Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Are they truly enhancing productivity and reducing costs?
From fostering an over-reliance on hallucinations produced by knowledge-poor bots, to enabling new cybersecurity threats, AI can create significant problems if not implemented carefully and effectively. These issues mean many gen AI projects remain stuck at the prototyping stage.
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.
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.
The impact of generativeAIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Below are several generativeAI drivers for CIOs to consider when evolving their digital transformation priorities.
This disruption will be defined by a rise in mega breaches that take entire enterprise networks offline, driven by supply chain vulnerabilities and attackers reaching new levels of speed and sophistication. In 2025, attackers will begin developing and testing generativeAItechnologies to use over the next 3-5 years.
In the statement , the company said HashiCorp’s suite of products offers “enterprises with extensive Infrastructure Lifecycle Management and Security Lifecycle Management capabilities,” which enable businesses to automate their hybrid and multicloud environments.
I explored how Bedrock enables customers to build a secure, compliant foundation for generativeAI applications. Amazon Bedrock equips you with a powerful and comprehensive toolset to transform your generativeAI from a one-size-fits-all solution into one that is finely tailored to your unique needs.
Once you get Copilot for Office 365, you go through training, and thats driven up our utilization to around 93%. Elliott Franklin, CISO at Fortitude Re, a global reinsurance company, says his firm is also using enterprise subscriptions to ChatGPT and Copilot to integrate gen AI into operations.
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.
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. AI and change management Change management has long been instrumental to the success of AI projects.
“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.
GenerativeAI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. The personalized content is built using generativeAI by following human guidance and provided sources of truth.
Even at fractions of a penny per token, this ends up being tens to hundreds of thousands of dollars. What if we shifted our thinking 180 degrees? Now is the time to explore agentic AI. Stephen Kaufman serves as a chief architect in the Microsoft Customer Success Unit Office of the CTO focusing on AI and cloud computing.
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.
Other respondents said they aren’t using any generativeAI models, are building their own, or are using an open-source alternative. Putting aside the fact this is an astronomically high adoption rate for a brand new technology, it’s also an indicator of how risky this space is. And the AI writing assistant category grew by 177%.
When Morgan Stanley announced its new generativeAI support tools for financial advisors last week, it talked about gaining efficiencies from its notetaking abilities. It will mean, in theory, that Morgan Stanley management can see analysis of every call made across the enterprise — often within a few minutes of that call’s completion.
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.
“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.”
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.
His goal is to surface answers to those big questions and to “ensure all departments within our organization understand how AI assists with their day-to-day tasks and how to use it properly and safely.” Achieve aggressive AI goals That’s not to suggest CIOs are slowing down their AI work. We’re piloting, PoC-ing.
Officials from the White House, the US Department of State, and the US Department of Commerce will meet Chinese representatives in Geneva for the talks, which are aimed at exchanging views on understanding and addressing the risks of advanced AI systems.
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.” It hit us all and kept us from looking at the things we were working on,” he says.
That’s as true for CIOs as any other enterprise leader. Ralph Loura, former SVP and CIO, Lumentum Lumentum That move soon led to a job running a data center and increasingly more senior roles, including stints as CIO at Symbol Technologies, Clorox, and HP’s Enterprise Group. Second, be intentional. Curiosity tops his list. “I
Power efficiency gains of new hardware can also give data centers and other organizations a power surplus to run AI workloads, Hormuth argues. That’s the race that seems to be going on in enterprises: ‘How do I go make room and power to do AI?’” Many hardware users are prioritizing replacement.
And if you’re presenting, it’s best to study older board packages and consult with colleagues about how the directors discuss, debate, and finalize key decisions. A good response is, “We don’t have a timeline yet, but we’re conducting customer research and running a proof of concept around the technology.
Caldas says that innovation today includes the adoption of promising new technologies, such as generativeAI and open frameworks. Caldas has no doubt that technology is a key differentiator. “We We have aligned our technology strategy to be a business strategy,” she says. Projects that really excite our teams.”
How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Overlooking these data resources is a big mistake.
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 EnterpriseTechnology.
Robert Ford, vice president, enterprise strategy, at CoreStack will discuss how to unlock greater cloud value. Find out how to use generativeAI to enhance customer experience at a presentation from Marci Maddox, research vice president for IDC’s Persuasive Content and Digital Experience Management Software Program.
CIO packages often include stock options, relocation expenses, and hiring bonuses, says Victor Janulaitis, CEO of consulting firm Janco. Stephenson echoes this, saying Korn Ferry is also seeing more retention awards being offered to CIOs “who are driving the desired impact across the enterprise.” Stephenson says.
It seems to be an increasing worry — worry over whether the enterprise is secure and its data is protected, because everything else falls to the wayside if that’s not taken care of first,” says John Buccola, CTO of E78 Partners, which provides consulting and managed services in finance technology and other professional areas.
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.
Digital twins are getting built and born in the enterprise without any CIO facilitation. Analyst estimates of IT and tech spend outside of the CIO/CTO budgets range from 40-45 -to 60%. The questions these raise require collective enterprise and policy might. How will augmented and non-augmented employees work together?
To help alleviate the complexity and extract insights, the foundation, using different AI models, is building an analytics layer on top of this database, having partnered with DataBricks and DataRobot. Some of the models are traditional machine learning (ML), and some, LaRovere says, are gen AI, including the new multi-modal advances.
Enterprise CIOs have always been at a disadvantage competing with tech firms for skilled IT pros, but accelerated transformation efforts and an AI gold rush have significantly intensified the talent war, prompting CIOs to increasingly turn to outside firms for help. Last June, for example, Dun & Bradstreet launched D&B.AI
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