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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.
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.
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.
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.
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.
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%.
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.
The Center for Internet Security unpacks how to establish foundational cyber hygiene at a reasonable cost. Moreover, are humans or AI better at crafting phishing emails? Well, a new research study concluded that skilled scammers still outperform the AI robots when it comes to phishing attacks – with one caveat. And much more!
The provider might be able to tell you the overall cost of training, but nobody knows how to divvy up that cost among all the users over the lifetime of the model. For example, if you run inference with a model that was trained by somebody else, you should report on your share of the CO2 impact.
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. Establish a breach communication plan with clear guidelines on how to communicate a breach to customers and maintain trust as much as possible.
The platform’s extensive features and integrations can create a broad attack surface, making it imperative to understand potential vulnerabilities and how to mitigate them. The foundation models of generativeAI have unique needs that are covered in Amazon’s best practices for LLM Ops.
Not all alignment risks are equal Business leaders understand the value of doing AI the right way — ethically, transparently, and responsibly. Nobody wants their company to be the one whose AI destroys the world, or teaches their customers how to make poison gas. With a new person, you hire them for their skills,” she says.
By aligning procurement decisions with business goals, AI supports sustainability, enhances supplier relationships, and prioritizes total cost of ownership over upfront price tags. See also: How to prioritize AI initiatives: A strategic framework for maximizing ROI.) See also: Where CIOs should place their 2025 AI bets.)
1 - CSA: Best practices for secure AI implementation Looking for guidance on how to deploy AI systems securely? You might want to check out the Cloud Security Alliances new white paper AI Organizational Responsibilities: AI Tools and Applications. Dive into six things that are top of mind for the week ending Jan.
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. “The
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