Biz and Tech Podcasts > Business > Binary Views Podcast
Binary Views transcends conventional binary frameworks, venturing into the nuanced world of AI and data analytics with a unique twist. Co-hosted by a corporate analytics leader from Amazon and an innovative solopreneur, this podcast offers unparalleled insights into AI and data analytics from the binary perspectives of corporate leadership and entrepreneurial innovation. Together, they invite voices from all corners to discuss AI’s role in reshaping corporate and entrepreneurs' data strategies, new and emerging innovations, share multifaceted stories of success and failures, and confront technology's ethical concerns. Embark on a journey with 'Binary Views,' where the worlds of tech giants and agile innovators collide, offering you a front-row seat to the evolving landscape of AI and analytics. Add us on your favorite social media and podcast platforms: https://mtr.bio/binary-views
Last Episode Date: 30 April 2024
Total Episodes: 4
Brace yourself for an eye-opening discussion on how AI is poised to create new job opportunities while automating others, and how the gig economy must adapt to stay relevant in the face of rapid technological advancements. Join us as we navigate the uncharted waters of the AI-powered gig economy and what it means for the future of work.
In this episode of Binary Views, Tyler and Prateek dive into the fascinating world of Devin AI, a new AI tool that acts as a personal programming assistant. They explore the capabilities of this cutting-edge technology and discuss its potential impact on the software development landscape.
We dive into the challenges and opportunities of building AI products. From managing expectations to adapting to rapidly evolving technologies, they share their unique perspectives on navigating the AI landscape.
In this exciting inaugural episode of Binary Views, co-hosts Tyler Lubben, a dynamic solopreneur, and Prateek Khare, a seasoned corporate leader from one of the Big Five tech companies, dive deep into the future of work within AI. They explore the challenges and opportunities that arise when building AI products from both the entrepreneurial and corporate perspectives.
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