AI Models: Risky Business—Navigating the Challenges of Using AI
18 minutes

AI Models: Risky Business—Navigating the Challenges of Using AI

Primary Analyst:
John Harmon, CFA, Managing Director of Technology Research
Contributors
Primary Analyst:
John Harmon, CFA, Managing Director of Technology Research
Deep Dive

What's Inside

Beware the risks of AI (artificial intelligence) and generative AI (GenAI)! We offer a detailed overview of the challenges of using AI models, with recommended actions that retail companies should take to ensure that AI models operate effectively (producing reliable output) and are used responsibly.

Our insights span the four stages of AI implementation: pre-deployment, at the time of deployment, during deployment and after deployment.

Stay at the forefront of AI: read this report to gain a better understanding of training bias, model drift, hallucination and other critical concepts related to the use of LLMs (large language models).

This report is made available to non-subscribers of Coresight Research through its sponsorship by Intel.

Data in this research report include:

  • Estimated global GenAI hardware and applications market size and year-over-year growth, 2024–2028

Companies mentioned in this report include: Amazon, IBM, Microsoft, Salesforce, Walmart

Other relevant research:

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