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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.
According to Baris Sarer, who leads the AI division of Deloittes technology, media, entertainment and telecommunications industry practice, Metas Llama model is the one that shows up most in industry deployments, followed by Mistral. GitHub lists more than 100,000 projects with LLM in their names, compared to 50,000 in May.
Other respondents said they aren’t using any generativeAI models, are building their own, or are using an open-source alternative. The company now tracks a total of 1,078 AIvendors, and AI categories gained 643 new products over the previous year. And the AI writing assistant category grew by 177%.
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.
A wider world of IT partners “We are witnessing a paradigm shift where enterprises are not just increasing their number of partnerships but also diversifying the types of partners they work with,” says Harshul Asnani , president of technology, media, and entertainment at Tech Mahindra. Double down on vendormanagement.
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.
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