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Home ›› Four Critical Ways GPT-4 is Impacting Enterprise AI Adoption 

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Four Critical Ways GPT-4 is Impacting Enterprise AI Adoption 

by Robb Wilson
4 min read
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OpenAI’s powerful large language model has accelerated the path toward AI integration and changed the parameters for getting there.

Late last year, when ChatGPT first showed up in everyone’s news feeds, conversations about the business applications for AI instantly intensified. At the very least, every organization had to rethink aspects of their operations that would be affected by this powerful large language model (and others). We’ve been using GPT for over two years in the enterprise solutions being built on the OneReach.ai platform. Seeing the way the public reacted to and began experimenting with ChatGPT was deeply gratifying as someone who has spent the last two decades working toward democratizing conversational AI. Enterprise has been slower to react. I read recently in the Wall Street Journal that of nearly 500 information-technology decision-makers surveyed by Enterprise Technology Research, only 12% said they had plans to use OpenAI technology. 

Business leaders have yet to see that GPT-4 isn’t just another product in their stack. It represents an opportunity to leverage all of their existing software investments behind a conversational user interface. There are already people inside every enterprise who are using GPT for help with daily work-related tasks. If an enterprise doesn’t have a plan for GPT (or at the very least API access to the LLM), their team members are probably using ChatGPT, putting the company at risk of the kinds of data leaks Samsung recently experienced

Here are four important realizations about GPT-4 that I hope will get people thinking differently about this technology.

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post authorRobb Wilson

Robb Wilson

Robb Wilson is the CEO and co-founder of OneReach.ai, a leading conversational AI platform powering over 1 billion conversations per year. He also co-authored The Wall Street Journal bestselling business book, Age of Invisible Machines. An experience design pioneer with over 20 years of experience working with artificial intelligence, Robb lives with his family in Berkeley, Calif.

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Ideas In Brief
  • GPT-4 simplifies language model training by enabling conversational training, making traditional natural language understanding approaches obsolete and revolutionizing knowledge management.
  • GPT-4’s low-shot training capabilities pave the way for democratizing AI, eliminating the need for specialized training teams and linguists.
  • The combination of GPT-4 with no-code/low-code development tools empowers enterprises to leverage generative AI for automation and improved customer and employee interactions while accelerating the creation of intelligent digital workers.

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