Generative AI in the Enterprise
O’Reilly Media has released a whitepaper by Mike Loukides about Generative AI in the Enterprise, discussing how companies are using GenAI—and the challenges they’re facing:
You can get a free copy at:
http://oreillymedia.pxf.io/c/4895554/1887200/15173
Generative AI has emerged as a significant technological development in 2023. The speed of its adoption is astonishing, especially considering that ChatGPT has only been around for just over a year. It raises questions like:
How are businesses currently utilizing GenAI tools in their operations?
What are the barriers for those yet to embark on this journey?
In this whitepaper, Mike Loukides delves into data from thousands of our users, revealing the extent to which organizations have embraced generative AI tools and their practical applications. This paper will enlighten you on the preferred models and applications, the concerns that worry early adopters, and much more.
54% believe Al's biggest benefit will be greater productivity.
Summary of the paper
The report "Generative AI in the Enterprise" provides an extensive overview of the adoption and utilization of generative AI in enterprise environments, highlighting their applications, challenges, and future outlook.
Loukides reveals that a significant percentage of companies are using generative AI, with applications ranging from AI programming and data analysis to customer interaction and content generation.
He identifies key challenges in AI adoption, including finding appropriate business use cases, dealing with legal issues, and the absence of company-wide AI policies. Skills gaps in AI programming and data analysis are prominent, with a need for specialized knowledge in AI operations and management.
The report also discusses the various stages of AI integration in businesses, from proof of concept to full production, and the risks companies test for, like unexpected outcomes and security vulnerabilities. The anticipated benefits of generative AI in business include increased productivity and revenue, with a minority expecting reduced personnel counts.
26% of companies have used Al for less than a year. But 18% have apps in production.
Key Points
Adoption and Usage: 67% of surveyed companies use generative AI, primarily for programming aid (77%) and data analysis (70%).
Challenges: Major barriers to adoption include finding suitable use cases (31% of nonusers) and legal concerns (18% for nonusers, 20% for users).
Skills Gap: Skills in AI programming (66%) and data analysis (59%) are in high demand.
AI Development Stages: Many companies are in early stages like initial proof of concept (34%) and product development (14%).
Risks and Testing: Companies focus on testing for unexpected outcomes (49%), security vulnerabilities (48%), and fairness/bias issues (46%).
Business Impact: Over half of the respondents expect AI to boost productivity (54%), and 21% anticipate increased revenue.
Future Outlook: Despite challenges, the report is optimistic about AI's role in enhancing business operations and driving innovation.
Get the report
You can get a free copy at:
http://oreillymedia.pxf.io/c/4895554/1887200/15173
