6 hard truths of generative AI in the enterprise
Science & Technology

6 hard truths of generative AI in the enterprise

Technology tamfitronics Technology tamfitronics From tech talent issues to difficulties getting the data equation right, IT leaders are uncovering the unique challenges of genAI the hard way: on the fly.With the adoption of generative AI skyrocketing, the technology is eliciting a myriad of feelings — from excitement and anticipation to stress and concern — inside organizations.A May global McKinsey survey puts generative AI usage at 65% of organizations, nearly double the firm’s previous survey 10 months ago. And with that rise, use case are proliferating.As with past technology adoption patterns, most are starting to use genAI in areas that provide tactical benefits, such as improving their existing processes and reducing costs, says Jim Rowan, a principal at Deloitte Consulting. This approach helps derive value from “low-hanging fruit” while building knowledge, experience, and confidence with a...
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Four generative AI use cases for businesses
Science & Technology

Four generative AI use cases for businesses

Technology tamfitronics Technology tamfitronics Companies are supercharging productivity and efficiency with AI-powered tools like virtual assistants, intelligent search and content summarization.As business leaders look to harness AI to meet business needs, generative AI has become an invaluable tool to gain a competitive edge. This breakthrough technology can comprehend and communicate in natural language, aiding the creation of personalized customer interactions and immersive virtual experiences while supplementing employee capabilities.What sets generative AI apart from traditional AI is not just the ability to generate new data from existing patterns. With generative AI businesses can now boost productivity and reduce costs, fundamentally changing how they work.Here’s how four generative AI use cases are changing the business landscape:Technology tamfitronics Virtual AssistantsCompanies are turning to AI-powered tools like chatbots, copilots, or virtual assistants to improve productivity and customer experiences. These...
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Generative AI’s biggest challenge is showing the ROI
Science & Technology

Generative AI’s biggest challenge is showing the ROI

Technology tamfitronics Robbie Goodall/Getty ImagesWhile executives and managers may be excited about ways they can apply generative artificial intelligence (AI) and large language models (LLMs) to the work at hand, it's time to step back and consider where and how the returns to the business can be realized. This remains a muddled and misunderstood area, requiring approaches and skillsets that bear little resemblance to those of past technology waves.Also: AI's employment impact: 86% of workers fear job losses, but here's some good newsHere's the challenge: While AI often delivers very eye-popping proofs of concept, monetizing them is difficult, saidSteve Jonesexecutive VP with Capgemini, in a presentation at the recent Databricks conference in San Francisco. "Proving the ROI is the biggest challenge of putting 20, 30, 40 GenAI solutions into production."Investments that need...
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