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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. Now many are admitting they werent quite ready. As part of that, theyre asking tough questions about their plans.
In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI. According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service.
And in August, OpenAI said its ChatGPT now has more than 200 million weekly users — double what it had last November, with 92% of Fortune 500 companies using its products. The use of its API has also doubled since ChatGPT-4o mini was released in July. There’s a lot of potential, though,” says Janzer. Other research support this.
According to a Bank of America survey of global research analysts and strategists released in September, 2024 was the year of ROI determination, and 2025 will be the year of enterprise AI adoption. But the entire process will need to be reinvented in order to make full use of the technology, says Monteiro.
The launch of ChatGPT in November 2022 set off a generative AI gold rush, with companies scrambling to adopt the technology and demonstrate innovation. Digital assistants can also be specialized for specific needs, says Nick Rioux, co-founder and CTO of Labviva, provider of an AI-assisted purchasing solution.
But by May 2023, according to an IDC survey, 65% of companies were using gen AI, and in September, that number rose to 71%, with another 22% planning to implement it in the next 12 months. Plus, when you add in cloud-based gen AI tools like ChatGPT, the percentage of companies using gen AI in one form or another becomes nearly universal.
“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 at the end of March, Italy banned ChatGPT entirely, before unbanning it again about a month later. The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. Existing technology just doesn’t surface the most relevant content consistently and easily enough,” he says.
In mid-November, OpenAI’s board fired the CEO of the company, Sam Altman, the guy who put ChatGPT on the map and ushered in a new era of corporate AI deployments. According to an O’Reilly survey released late last month, 23% of companies are using one of OpenAI’s models. Entire businesses have been built on top of OpenAI and its APIs.
It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. The company also prohibits staff from using ChatGPT to write letters to clients. I’m not going to upload this information to another service. The risk is too high.” AI is a black box.
Beyond the ubiquity of ChatGPT, CIOs will find obvious advantages working with a familiar enterprise supplier that understands their needs better than many AI startups, and promises integrations with existing enterprise tools. It’s embedded in the applications we use every day and the security model overall is pretty airtight. That’s risky.”
At least with things like ChatGPT, DALL-E 3 and Midjourney, there’s constant interaction with humans,” he says, adding that with agentic AI, there’s potential for autonomous decision making. It makes sense that development is the top agentic AI use case, says Babak Hodjat, CTO of AI at Cognizant.
As technology continues to advance at a rapid pace, the demand for qualified individuals has soared,” Chan says. 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.
It might just be interviews, surveys, or Figma prototypes. Instead, we build a custom prompt in ChatGPT for the human night shift to use. Some salespeople use ChatGPT and follow the script; others continue as they were. We have an idea about what customers might love. It might not even be code. We measure the difference.
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 large language model (LLM) behind ChatGPT. When the technology first started coming out, the team was mesmerized.
Existing generative AI platforms like OpenAI’s ChatGPT, Google Bard, or Stable Diffusion aren’t trained on 3D images of teeth. This may also change in the future as the technology improves. It’s one of the largest deployments of generative AI that I know of,” says David McCurdy, Insight’s chief enterprise architect and CTO.
Generative AI and, more specifically, ChatGPT captivated the corporate world in 2023, with board directors, CEOs, and other executives fawning (and sometimes fearing) the technology. Some clues are found in the 2023 Cloud Business Survey from professional services firm PwC. What does that really mean and what does it take?
The unprecedented adoption rates for the new technology see generative AI now eclipsing all other AI applications in the enterprise, according to an S&P Global Market Intelligence survey released in September. Since ChatGPT was launched in late 2022, many companies have gotten into trouble by deploying it too quickly.
where Sam Altman, CEO of ChatGPT-maker OpenAI, testified before the U.S. Senate Judiciary Committee’s Subcommittee on Privacy, Technology and the Law. At least, that’s the opinion from the majority of AI experts consulted by MIT Sloan Management Review and Boston Consulting Group.
OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. You may also want to include generative AI usage in audits and eDiscovery the same way you do with enterprise chat systems.
According to a September IDC survey , 70% of CIOs reported a 90% failure rate for their custom-built AI app projects, and two-thirds reported a 90% failure rate with vendor-led AI proof-of-concepts. The Boston Consulting Group, in fact, says companies that have adopted AI early claim 1.5 And Rand Corp. And theyre seeing returns.
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