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Welcome to episode nine 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.
Today’s guest on the show is Vijay Dheap, who is the Technology and Product Lead at Rozie AI. Vijay is an innovator specializing in commercializing emerging technologies and building high margin multi-million dollar businesses. He has a diverse background leading teams and has consistently delivered market success for next-generation enterprise software solutions in security intelligence, mobile security, big data and collaboration.
Set up in January 2018, RozieAI delivers unparalleled Natural Language Understanding and Deep Learning analytics to empower organizations to transform their customer experiences and cultivate valued relationships. They automate and augment customer service and knowledge management offerings via any channel, such as voice, SMS, email or social media to deliver information and services seamlessly.
In this episode, Vijay will tell you about:
- Life before Rozie AI, including what he learned at IBM Watson
- How he became interested in AI and Semantic Computing
- The importance of adding context to Natural Language Processing
- Rozie AI’s mission to deliver AI with empathy
- Common challenges they need to work through
- Where he believes AI is heading in the near future
What did you make of Vijay’s podcast? Where do you see the future of Artificial Intelligence and NLP heading in the next few years? We would love to hear your thoughts so please leave a comment below.
If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.
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The post AI in Action E09: Vijay Dheap, Technology and Product Lead at Rozie AI appeared first on Alldus.
30 episodes available. A new episode about every 6 days averaging 19 mins duration .