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Welcome to episode 20 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and in Europe.
In today’s episode, our guest is Jeff Orkin. Jeff is the Founder and CEO at Giant Otter Technologies, who are building a future where machines can participate in extended, coherent, context-rich conversations with people. The Giant Otter conversation authoring platform builds bots bottom-up from call recordings and live chat transcripts.
Based on 10 years of research originating at MIT, their technology provides a structured, reliable, repeatable process to automate conversations directly from data. Giant Otter are developing new frameworks for artificial intelligence, capable of exploiting multiple representations of meaning, maintaining coherent dialogue over many turns and explaining their own decisions.
In the episode, Jeff will tell you about:
- The inspiration to set up Giant Otter Technologies
- Creating coherent conversations between human and machines
- The task of adding context to Conversational AI
- Benefits that automation and chatbots can bring to your business
- Exciting projects coming up at Giant Otter
- Where he believes AI and Deep Learning is heading in the near future
To find out more about Jeff and the work at Giant Otter, check out the website www.giantotter.com. You can also connect with Jeff on Linkedin and give them a follow on Twitter @GiantOtterTech and @jorkin.
What did you make of Jeff’s podcast? Where do you see the future of Artificial Intelligence and Deep Learning heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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The post AI in Action E20: Jeff Orkin, Founder and CEO at Giant Otter Technologies appeared first on Alldus.
28 episodes available. A new episode about every 6 days averaging 18 mins duration .