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Because You Need to Know – Beth Carey

Our computing future with Beth Carey

This podcast is part of the Because You Need to Know series from Pioneer Knowledge Services.

Beth Carey is Co-Founder and CEO of Pat Inc, an award-winning language understanding platform representing meaning for machines to enable human-like interactions.

Beth has a history of establishing and growing corporate technology businesses, leading large teams of technologists at IBM and Fujitsu, and facilitating the world-class IBM Leadership Development program across Asia-Pacific. She has established and exited an equestrian business and is the past inaugural Ambassador for global organization Women in AI.

At Pat Inc, they have developed a meaning-based NLU (Natural Language Understanding) algorithm for the world’s languages which humanizes conversations with machines. Pat’s origin represents a ‘David and Goliath’ story, as it’s one that demonstrates solving an ‘hard AI’ problem doesn’t always require brute force. Pat has won Best New Algorithm for AI 2018/2019 at the global AI awards, Best Technical implementation for AI 2019/2020 and was a finalist in the Bill and Melinda Gates Foundation, XR Education Challenge. In 2021, Pat was a nominee for the Edison Awards.

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Edwin K. Morris

Edwin K. Morris is the president and founder of Pioneer Knowledge Services which produces the educational program, Because You Need To Know. It is part of the mission to educate and bring awareness around knowledge management and nonprofit concerns.

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  1. Thank you Edwin and Beth Carey. This is an important interview – and thank you for extending the interview time. I am familiar with Pat, Inc.’s work (PAT.AI) and have no doubt that they will soon be recognized as the point-of-the-spear of Natural Language Understanding and fluid human/machine interactive communication. Why? Because current website practices developed with a control mindset implemented with AI algorithms that overtly and covertly manipulate and control user behavior. Once the means to implement fluid human/machine interactive communication is available, the contrast between our current “old school” control and manipulative architectures will be dropped like a hot potato. It is clear to me that when I walk into a coffee shop and see some one I know, that when I say hello, they will return the salutation in-kind, naturally flowing into deeper conversation that is social and purposeful. Once this comparison is experienced, the choice will be as obvious. Well done.

    1. Thanks Dennis. I appreciate your considered comments as usual. It will be great to bring under represented cognitive science and linguistics research to technology via our NLU in the future to show how we can emulate a brain and learn from that. At the same time, we’ll be able to have useful digital interactions with machines via the ultimate machine interface – language.

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