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While organizations continue to discover the powerful applications of generativeAI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generativeAI lifecycle.
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.
This could be the year agentic AI hits the big time, with many enterprises looking to find value-added use cases. A key question: Which business processes are actually suitable for agentic AI? Customer service: A target agentic AI use case One area that might be ideal for agentic AI is customer service.
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.
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. A boost to traditional AI While generativeAI is new, AI is not.
“We’re not short of generous opportunities afforded by our strategic suppliers and vendors,” says Battle, wryly. When it comes to anything generativeAI or automation orientated, “Everybody wants to help us on that journey.” There’s demand for it, too. Our business is absolutely craving it,” he adds.
Other respondents said they aren’t using any generativeAI models, are building their own, or are using an open-source alternative. Synthetic media, which includes AI-generated text, images, audio, and video, grew by 222% compared to the previous year. And the AI writing assistant category grew by 177%.
One, conducted by Salesforce, found fewer than 3% of commerce organizations have no AI plans, while 29% have already fully implemented it into their workflows. The other, by Nvidia, looked more specifically at generativeAI, and found that 98% plan to invest in it.
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.
Consider how fast generativeAI went from avant-garde to ubiquity: At under two years, it may be a record. GenerativeAI is also poised to dramatically speed up the whole process, says Rajib Gupta, senior director advisor in Gartner’s IT sourcing, procurement, and vendormanagement team.
Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. It could be used to improve the experience for individual users, for example, with smarter analysis of receipts, or help corporate clients by spotting instances of fraud.
Labs to co-develop solutions with enterprise IT customers using Dun & Bradstreet’s proprietary data and analytics, generativeAI, and large language models (LLMs). Double down on vendormanagement. To manage these relationships, IT organizations need robust vendormanagement processes , says West Monroe’s Wright.
As such, organizations must evolve their digital strategies with market changes, such as the shift to remote work in 2020, the evolution to hyperautomation in 2022, and how generativeAI will now require CIOs to overhaul their roadmaps. Agile PMOs take on these responsibilities and reduce the frictions that slow teams down.
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 billion this year to $36 billion by 2028.
“Even if it were to be called AI, even though it’s rather a robotization application, it doesn’t matter if it seems interesting to us. SAS works a lot with AI already, though, with more traditional machine learning and evolving generativeAI tools. But it’s my team that makes that assessment,” she says.
Last year, as many CIOs ramped up for their first round of Scope 3 reporting, gen AI found its way into virtually every office. In many organizations, the use cases have stopped there, but some IT departments are now sanctioning — and even encouraging — the use of gen AI for things like coding.
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.
Result: Though the full scope remains unclear, the breach affected almost all Okta customers and highlighted the potential risks associated with third-party vendorsmanaging sensitive data. 300+ AI-powered GitHub Actions in the marketplace. 300+ AI-powered GitHub Actions in the marketplace.
AWS Ground Truth Private Workforce: This manual data-labeling feature enables SageMaker users to create a "labeling workforce" (group of workers either vendor-managed or chosen by the customer to label datasets) associated with a Cognito User Pool. Start with the GenerativeAI Security Scoping Matrix.
In 2003, Oxford University professor Nick Bostrom asked what happens if you ask a smart AI to make as many paperclips as possible. Say, a paperclip manufacturing CEO deployed an AI with no guardrails, checks, or balances, and asked it to apply its superintelligence to the paperclip problem.
Modernize Your Banking Ecosystem The global banking industry is undergoing a significant transformation driven by technological advancements in artificial intelligence (AI), machine learning (ML), and generativeAI (GenAI). AI-enabled Banking is the New Future AI in banking is now a reality.
You might want to check out the Cloud Security Alliances new white paper AI Organizational Responsibilities: AI Tools and Applications. Each of those three areas is analyzed according to six areas of responsibility for teams deploying AI systems: Evaluation criteria : To assess AI risks, organizations need quantifiable metrics.
AI everywhere: Transforming procurement Weve entered the era of AI everywhere, where generativeAI (GenAI) technologies are transforming the way businesses operate. From streamlining workflows to uncovering actionable insights, these advancements are reshaping software sourcing and vendormanagement.
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. We cant do that for security reasons, he says.
Their answer may reveal if theyve made a conscious investment in AI as opposed to just jumped on something because its new. If theyve been working on AI for a long time, even though it wasnt generativeAI, they probably have people who were keeping up to date with the technology as it evolved, he says.
By embracing sustainable architecture practices and aligning technological advancements with sustainability objectives, organizations can harness AI’s transformative potential while safeguarding the planet while meeting regulatory requirements. Cost and resource optimization Cost efficiency. Resource utilization.
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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