Generative Artificial Intelligence: A New Chapter for Enterprise Business Applications
This IDC Perspective covers the rapidly evolving generative AI applications landscape, approaches to building an enterprise solution, the funding distribution, and insights from CIO quick poll on the promise of generative AI. It also includes generative AI basics, benefits, current limitations, and approaches to address those challenges. It provides guidance to the technology buyer on how to embrace generative AI responsibly and maximize ROI."ChatGPT has put generative AI on the radar for businesses across industries. Generative AI potential for innovation and disruption is on a scale comparable to the introduction of the internet and the smartphone," says Ritu Jyoti, group VP, Artificial Intelligence (AI) and Automation Research at IDC. "Enterprises need to embrace generative AI responsibly partnering with trusted suppliers and collaboratively addressing the existing concerns and challenges."
Please Note: Extended description available upon request.
- Executive Snapshot
- Situation Overview
- Generative AI Basics, Current Limitations, and Solutions to Address the Limitations
- Examples of Generative Foundation Models
- Some of the Generative AI Key Issues
- Accuracy
- Misuse
- Increase in Biases
- Copyright Ambiguities
- Data Security and Privacy
- Lack of Skill Set
- Approaches and Current Solutions to Address Generative AI Limitations
- Building a Generative AI (Powered) Enterprise Application/Solution
- Generative AI — Top Applications ― CIO Insights and Funding Distribution
- Generative AI — Enterprise Applications Examples
- Knowledge Management Applications Including Discovery and Summarizations
- Sales and Marketing Applications (and Other Lines-of-Business Applications)
- Code Generation Applications
- Conversational AI Applications
- Design Applications
- Industry-Specific Applications Examples
- Healthcare
- Financial Services
- Manufacturing
- Advice for the Technology Buyer
- Learn More
- Related Research
- Synopsis
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