Q&A: Ernst & Young exec details the good, bad and future of genAI deployments
Briefly

Generative AI is being recognized for its efficiencies and cost-saving potential, but many organizations are still hesitant to adopt it fully. Challenges such as AI hallucinations, output errors, fragmented data, and a shortage of skilled IT personnel contribute to this reluctance. Julie Teigland of Ernst & Young highlights the importance of exploring AI, as consultants would encourage organizations to harness its transformative capabilities despite the initial concerns. The conversation around genAI is evolving, yet many businesses continue to grapple with effective implementation strategies.
'Given the AI hallucinations, output errors, organizational data fragmentation and a lack of skilled IT talent to manage it, corporate leaders have good cause to be pensive.'
'There’s not likely a consultant worth their salt that would advise an organization to not explore AI's efficiencies, cost-savings and production-enhancing capabilities.'
Read at Computerworld
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