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2023 has been a break-out year for generativeAI technology, as tools such as ChatGPT graduated from lab curiosity to household name. But CIOs are cautiously evaluating how to safely deploy generativeAI in the enterprise, and what guard-rails to put around it.
Most CIOs have begun exploring generativeAI to make sure they stay relevant. After experimenting with both GitHub copilot and ChatGPT for over six months, I’m amazed by the pace at which generativeAI is evolving,” says Yves Caseau, global CIO of Michelin. The big question is what to do with it now.
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. Other respondents said they aren’t using any generativeAI models, are building their own, or are using an open-source alternative. He’s not the only one.
Agus Huerta, SVP of digital innovation and VP of technology at Globant, says hes seen better performance on code generation using Llama 3 than ChatGPT. And even out of the box, some open source models might be better than the commercial alternatives at particular tasks. It can also help with refactoring.
The overhype of generativeAI was unavoidable last year, yet despite all the distraction, unproven benefits, and potential pitfalls, Dana-Farber Cancer Institute CIO Naomi Lenane didn’t want to ban the technology outright. But allowing free, unfettered use of the public gen AI platforms was not an option.
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. Although written before gen AI, it has provisions that apply but it’ll most likely go through modifications before going into effect.
Then at the far end of the spectrum are companies like Swedish fintech company Klarna, which has integrated gen AI not only in a range of internal projects, but also in products they sell — and have developed AI governance that includes guidelines on how AI should be used on projects.
4 – Study: Expert phishers trounce GPT-4 – for now Much has been said about how attackers are using generativeAI chatbots like ChatGPT to quickly automate the creation of effective and polished phishing emails. When advanced manual phishing rules are combined with generativeAI, the success rate edges all other methods.
No review of 2023 would be complete without mentioning the explosion of AI into the public eye, like ChatGPT and Copilot. Beyond the hype of AI lies immense value and impact, but skilled AI professionals are essential. Topping the list at 86% was ChatGPT and GitHub Copilot at 70%.
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.
The AI agent will download it, try to build it, and if it doesnt run, itll fix the build scripts and code if necessary, check the code back into the repository, and flag it was done by an AI agent, he says. Trust but verify Safety was a cornerstone of AI agent development from day one.
But even an innocuous instruction, like “be helpful,” can cause problems if the AI helpfully assists a hacker to break into corporate systems, or give discounts it’s not supposed to give. We’ve already seen many examples of corporate AIs not performing as intended.
But even as CIOs familiarize themselves with initiatives such as generativeAI pilots , moving to cloud-first , DevOps, and product and services development, there is still much for them to learn, and tech vendor CTOs steeped in these projects and modes of operation are happy to impart a wealth of knowledge.
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