Putting AI into Practice is a Test, Say Analysts

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Ron Schmelzer and Kathleen Walch (r), who both are managing partners and principal analysts at Cognilytica and spoke at the recent AI World Government conference, advise that not every information technology problem can be solved by using artificial intelligence systems.

Making sense of how to employ AI and machine learning can be difficult, said two analysts at a session at the AI World Government conference held in Washington, DC from June 24-26.

Ron Schmelzer and Kathleen Walch, who both are managing partners and principal analysts at Cognilytica, an AI-focused analyst and advisory firm, shared insights from their work reviewing and interpreting the AI marketplace—which includes their weekly podcast called AI Today.

“AI is transforming the way we work, live and interact together, but putting it into the practice is more difficult than it may seem,” said Schmelzer, in a report from Signal, a publication of AFCEA International. AI will support future enterprise systems that are both intelligent and autonomous for an “always-on workforce,” the managing partners stressed.

AI has been through two winters, or times of falling interest and investment, and “now it is back into vogue…. and we hope this time around it sticks,” Walch added.

While industries and organizations are already experiencing changes due to employing the advanced computer systems, AI doesn’t make a use case for everything, the experts said.

According to Schmelzer and Walch, AI and other cognitive or intelligent technologies are best suited for tasks or problems involving classification and identification, such as object identification and clustering or for conversational interfaces that use text or voice chatbots.

AI also does well with performing predictive analytics using big data, or using structured data to make inferences; pattern discovery to find hidden patterns in big data; or on autonomous systems, robotic or other systems that run independently, without human interaction.

In addition, AI is well-suited for game and scenario playing, or letting computer systems discover hidden rules; or for providing hyper-personalization and recommendations, connecting pieces of information to make a larger conclusion to serve customers or users more effectively.

See the source article in Signal.