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Future of Tech  

Future of Tech

Author: Amdocs

How will machine learning, AI, hybrid clouds, IOT, open source, edge computing, and many other innovations solve some of the worlds biggest challenges? Sit down with some of the most innovative minds in technology to learn how they are disrupting the present, and what kind of impact they foresee for the future. Hear from companies like Google, AWS, Intel, Red Hat, HPE, Dell and new, hot startups. Hosted by Avishai Sharlin, Division President of Amdocs Technology.
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Language: en

Genres: News, Tech News, Technology

Contact email: Get it

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Beyond Experimentation: Prof. Yoav Shoham's A121’s CEO, talks on Gen AI's Future and AI21 Journey
Episode 4
Wednesday, 24 January, 2024

In this episode, Avishai sits down with AI pioneer Yoav Shoham. Yoav was a professor of computer science at Stanford for 28 years, where he was the director of the AI Lab. He is also a serial entrepreneur and has founded various companies across industries. Most recently, he co-founded AI21 labs. AI21 Labs aims to take AI to the next level and builds LLMs for enterprises that make machines thought partners. Join him and Avishai for a great discussion, and hear why Yoav doesn't believe Gen AI truly exists, AI21’s mission, and his vision for the future.  The AI winter is over. AI is at the top of everyone’s mind today, but it has existed for decades. Yoav experienced the ‘AI Winter,’ a period during the 1990s when interest and funding in AI dropped. Yoav says that the effects of the winter have worn off, and that the learnings and changes from the period and beyond have helped us reach the AI boom of today.  Lots of experiments, little deployment. Yoav says that while there is mass experimentation with AI, there is much less deployment of the technology. Proving the ROI of AI is something companies like AI21 must do to encourage uptake from large enterprises.  Trust is key. Yoav identifies that reliability, predictability and explainability are key for LLMs. These models often don’t know when or why they are wrong. Ensuring that we can trust these models is key to their progression and adoption. Interested in further exploring the impact of GenAI? Tune in to Your Career: Is it Choice or Chance? Podcast for insightful discussions within the workplace domain.

 

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