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...
