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This last category has received a boost as platform vendors explore the potential of generative AI models such as ChatGPT to create boilerplate application skeletons on which developers can hang their own business logic — or even turn human-readable requirements into machine-readable code.
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. “It
L’arrivo dell’IA generativa, poi, è una promessa senza precedenti: ChatGPT ha raggiunto il traguardo di 100 milioni di utenti in appena due mesi (analisi di Ubs su dati di Similarweb; il World Wide Web, negli Anni ’90, ha impiegato sette anni). Per i CIO, tuttavia, implementare l’IA non è così immediato.
The truth is that the integration of generative AI for operations requires a very different approach than the integration of traditional AI. This is evident in the sphere of R&D and operations. In recent years, AI has demonstrated concrete impact across the entire operations value chain. sourcing, maintenance, quality and regulatory, etc.).
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