The commercial viability of artificial intelligence (AI) is officially here, and so are its pitfalls.
At the center of many enterprise concerns around the use of innovative generative AI solutions is the same thing at the center of the tools themselves: questions around the data and information fed to the AI models and that data’s provenance and security.
Microsoft is reportedly planning to sell a privacy-focused version of OpenAI’s ChatGPT chatbot to business customers concerned about regulatory compliance and data leaks.
The product is designed to allay firms’ fears around employees inadvertently giving the chatbot access to proprietary information when they use it — as Samsung engineers did last month.
Many businesses harbor worries around the fact that AI platforms store their data on external servers and often continually re-train their AI’s large language models (LLM) by leveraging user-submitted information.
This means that a query about a company-specific proprietary process could end up being used to inform an answer to a competitor’s own request of a similar nature, as long as both organizations use ChatGPT.
Read more: Microsoft Bundles Its App Artificial Intelligence With ChatGPT
That’s why the private solution from Microsoft will run on its own dedicated servers, separate from the ones used by other companies and individuals using ChatGPT for less sensitive or business-critical tasks. Per the report, the solution’s dedicated private server space won’t be cheap and may run interested organizations up to 10 times the normal cost.
“Pretty much every organization is thinking about how to use generative AI” to achieve efficiencies, Alphabet and Google CEO Sundar Pichai said last month.
Businesses are racing to integrate AI solutions that can connect historically disparate and fragmented data to get a more unified picture of their operations, as well as identify previously obscured opportunity areas.
And tech companies are racing to be the ones that provide those next-generation solutions to them.
IBM unveiled Tuesday (May 9) Watsonx, an AI platform to help businesses integrate AI. while Wendy’s and Google have teamed to bring automated voice AI ordering to the fast-food chain’s drive-thrus.
PYMNTS research found that 54% of consumers said they would prefer using voice technology in the future because it is faster than typing or using a touchscreen.
Still, the increasing adoption of generative AI tools and automated machine learning (ML) solutions isn’t without its accompanying disruptions and growing pains.
Spotify has reportedly pulled tens of thousands of AI-generated songs from its platform, while TikTok is developing a tool that flags AI-generated videos to users.
“There is a lot of value [around generative AI capabilities], but the key question is when can we use it without the fear of bias and where this information is coming from,” Bank of America CEO Brian Moynihan said in April. “We need to understand how the AI-driven decisions are made…”
