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Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

According to Gartner , as much as 75% of operational decisions could be made within an AI-enabled application or process by 2030. The company can also unify its knowledge base and promote search and information use that better meets its needs. These opportunities are significant.

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SAP and Nvidia expand partnership to aid customers with gen AI

CIO Business Intelligence

Under the partnership, SAP is integrating Nvidia’s generative AI foundry service, including the newly announced Nvidia NIM inference microservices, into SAP Datasphere, SAP Business Technology Platform (BTP), RISE with SAP, and SAP’s enterprise applications portfolio. “We

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An Architectural Framework as a Playground to Optimize Organizational Design

Future of CIO

An architectural framework is a collection of knowledge composed of different groups of information and knowledge. The architectural framework that is created needs to be maintained and used by the managers to adapt and improve the organization in the future by abstracting major concerns.

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Tractor Supply enlists AI to deliver ‘legendary’ customer service

CIO Business Intelligence

With information about products and availability constantly changing, Tractor Supply sees Hey GURA as a “knowledge base and a training platform,” says Rob Mills, chief technology, digital commerce, and strategy officer at Tractor Supply.

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ChatGPT, the rise of generative AI

CIO Business Intelligence

Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. ChatGPT’s conversational interface is a distinguished method of accessing its knowledge. This interface paired with increased tokens and an expansive knowledge base with many more parameters, helps ChatGPT to seem quite human-like.

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3 examples of organizations improving CX with self-composed AI

CIO Business Intelligence

The most powerful applications of AI help organizations do more with less without compromising – rather in many cases enhancing – their customer experience, from AI-powered bots that accelerate problem resolution to AI digital co-workers that supercharge agent performance. Our advice: start with small-scale, attainable applications (e.g.

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AI bots for customer experience: trends, insights, and examples

CIO Business Intelligence

We’ll see the continued shift away from button-based chatbots to conversational virtual agents that can handle more complex interactions with a sophisticated reasoning engine and integrated back-end systems. The customer accepts, the call ends, and the bot steps in via text/SMS.

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