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Building an AI Business | Riley's Andrew Reiner | Artificial Intelligence Podcast
In this episode of the AI For All Podcast, Andrew Reiner, co-founder and CEO of Riley, joins Ryan Chacon and Neil Sahota to discuss the landscape, challenges, and strategies for AI startups and businesses. They dive into the transition from predictive modeling to impactful AI solutions in startups, the significance of focusing on major operational problems to build successful AI products, and the importance of domain experts in the development process. Additionally, they delve into the ethical dimensions of AI, data security, and how to handle misinformation in the AI landscape. Lastly, they advise AI startups to start small by focusing on solving real problems using existing AI tools before developing their own solutions for scalability and independence.
Andrew Reiner is the co-founder and CEO of Riley. Previously, Andrew was the COO at SeatServe. Andrew is an active mentor and advisor for a handful of startups. He also runs a 750,000+ person community revolving around the startup ecosystem. Andrew was a Quantitative Researcher at Zweig-DiMenna, a $4.5+ billion hedge fund in New York City and before that he was a Desk-Based Analyst at Lehman Brothers where they ran a $600 million proprietary trading book and an Algorithmic Electronic Trader at Barclays Capital.
Riley is a voice activated relationship insights platform designed to help you build authentic professional relationships.
(00:00) Intro
(00:39) Andrew Reiner and Riley
(00:51) Understanding the AI startup landscape
(02:44) Predicting the future of AI startups
(03:20) The role of AI in job replacement and efficiency
(04:36) The impact of AI on startups
(05:45) Building an actual AI solution
(09:40) The risks of building on top of a platform
(11:16) The importance of domain expertise in AI
(20:06) Ethical considerations in AI
(22:08) The impact of deepfakes on elections
(23:59) Data security in AI
(25:58) Advice for growing AI startups
(28:07) Learn more and follow up
Discover more about AI at https://ai-forall.com
More about Riley: https://riley.ai
Connect with Andrew: https://www.linkedin.com/in/andrewreiner/
SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9
Listen to the Podcast: https://bit.ly/45rewGf
Join Our Newsletter: https://newsletter.ai-forall.com
Follow Us on Social: https://linktr.ee/aiforallofficial
View all episodes
By AI For All
5
44 ratings
In this episode of the AI For All Podcast, Andrew Reiner, co-founder and CEO of Riley, joins Ryan Chacon and Neil Sahota to discuss the landscape, challenges, and strategies for AI startups and businesses. They dive into the transition from predictive modeling to impactful AI solutions in startups, the significance of focusing on major operational problems to build successful AI products, and the importance of domain experts in the development process. Additionally, they delve into the ethical dimensions of AI, data security, and how to handle misinformation in the AI landscape. Lastly, they advise AI startups to start small by focusing on solving real problems using existing AI tools before developing their own solutions for scalability and independence.
Andrew Reiner is the co-founder and CEO of Riley. Previously, Andrew was the COO at SeatServe. Andrew is an active mentor and advisor for a handful of startups. He also runs a 750,000+ person community revolving around the startup ecosystem. Andrew was a Quantitative Researcher at Zweig-DiMenna, a $4.5+ billion hedge fund in New York City and before that he was a Desk-Based Analyst at Lehman Brothers where they ran a $600 million proprietary trading book and an Algorithmic Electronic Trader at Barclays Capital.
Riley is a voice activated relationship insights platform designed to help you build authentic professional relationships.
(00:00) Intro
(00:39) Andrew Reiner and Riley
(00:51) Understanding the AI startup landscape
(02:44) Predicting the future of AI startups
(03:20) The role of AI in job replacement and efficiency
(04:36) The impact of AI on startups
(05:45) Building an actual AI solution
(09:40) The risks of building on top of a platform
(11:16) The importance of domain expertise in AI
(20:06) Ethical considerations in AI
(22:08) The impact of deepfakes on elections
(23:59) Data security in AI
(25:58) Advice for growing AI startups
(28:07) Learn more and follow up
Discover more about AI at https://ai-forall.com
More about Riley: https://riley.ai
Connect with Andrew: https://www.linkedin.com/in/andrewreiner/
SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9
Listen to the Podcast: https://bit.ly/45rewGf
Join Our Newsletter: https://newsletter.ai-forall.com
Follow Us on Social: https://linktr.ee/aiforallofficial