Emerging concerns about artificial intelligence (AI)’s ability to ensure data confidentiality and privacy are causing many companies to reconsider their reliance on cloud-based AI systems and opt for on-premises servers instead. There is a possibility that This is a significant reversal from the initial popular trend toward cloud computing. This challenges the common belief that the days of on-site servers are over.
“Most people believed the era of on-premises servers was over, but now we’re seeing a possible resurgence,” says Mark Presnell, managing director of Oakland-based e-commerce integration company Convergence. He commented: He expressed concern about businesses relying on the cloud to protect sensitive data. “Although AI is powerful, there are concerns about entrusting critical information to the cloud. Companies using AI in the field are increasingly looking to share the insights, ideas, and plans they generate on open platforms. You may not want to. This is normal. Practice today.”
As Presnell emphasizes, AI’s main function is to act as a huge recall tool, contrary to the misconceptions that are regularly held about its “intelligence.” “Think of AI as a giant library. AI can find specific information in seconds, which might take a human several days. But this is recall, not creation. Generative AI, which produces output such as images, relies only on prior -existing data.You are not inventing something new, but rearranging known elements in innovative ways. There is.”
AI can create unique-looking artwork or create consistent text, but these are based on existing patterns and information. “AI lacks independent thinking. AI is a powerful tool for processing and recalling information, but it is not a tool for producing information,” Presnell said.
Understanding AI primarily as a recall tool has implications for businesses and research institutions. Mr. Presnell identifies his three key areas of focus. First, companies, especially those in customer service and retail, should focus on leveraging the recall capabilities of AI to enhance customer interactions and develop their internal knowledge base. Second, companies need to invest in understanding the AI applications specific to their industry, stay on top of trends, and consider returning to more robust on-site systems to process a wide range of AI data. there is.
Finally, the issue of data ownership is important. “When you input information into a cloud-based AI service, it typically becomes your property. Companies need to be very aware of this and think through the long-term implications,” Presnell warned.
In conclusion, Presnell believes the return to on-premises AI solutions reflects a deeper understanding of AI’s capabilities and limitations, along with an increased focus on data security and privacy in an increasingly digital age. . ”