The AI in Business Podcast

Today's guest is Monte Zweben. Monte started doing AI with NASA in the late 80s, took a company public for nearly $3B at the height of the internet boom of the late 90s, and is now CEO at Splice Machine. This company offers a scalable SQL data platform for modernizing applications. In this episode, Monte speaks to us about some of the mirrored elements of tech's past transitions into AI and what they mean for how AI will start to become the norm in enterprises. He also applies lessons learned from his previous business transitions into what leaders can do to better prepare for this next wave of AI. Do you want to support this show? Be sure to leave us a review on Apple Podcasts, and let us know what you like about the program! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

In today's short episode, we will be covering some of the recent updates to the show. I will cover what we learned in 2020 from our listeners, bring exciting news on what we aim to focus on, and what insights and skills you will pick up from the show in the coming year. I cover the changes coming in terms of frequency and format, and lastly, some of the fantastic episodes we have coming up. Do you want to support this show? Be sure to leave us a review on Apple Podcasts, and let us know what you like about the program! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Today's guest is Caroline Gorsky, Group Director of R2 Data Labs at Rolls Royce. Rolls Royce needs no introduction as it is one of the pioneering providers of cutting-edge technology solutions in automotive, aerospace, and power. This week, Caroline speaks to us about using Natural Language Processing to optimize their massively complex supply chain and get better transparency in their processes. She also talks about where they hope to use this technology to gain a deeper view of their operations. Do you like and want to support our show? Consider leaving us a five-star review on Apple Podcasts! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Today's guest is Mahmoud Arram, Co-Founder and CTO at ‎Bluecore. Bluecore is a marketing technology company that's reimagining how retailers communicate with shoppers and has raised over $100 million to deliver Artificial Intelligence to enterprises. Mahmoud helps us answer where to target your efforts with AI and how to identify problems that will deliver business results, a real problem versus a toy problem, whether you are building an AI product or thinking about where to apply AI to your own business. Interested in more use cases, infographics and frameworks? Check out Emerj Plus: emerj.com/p1

Today, our returning guest is Per Nyberg, Chief Commercial Officer at Stradigi AI, a leading North American SaaS AI business platform provider that enables organizations to bring business-accelerating AI projects to fruition quickly. We speak this week about what he has seen in the market in terms of AI adoption, what is going well, and the trends and patterns that he has seen across the industry. We will also talk about building AI maturity and AI fluency. Then we wrap things up with the art of starting small, what is essential to bear in mind, the important ways to take action, and how companies can get the ball rolling in a way that will lead to a bigger value. Are you interested in reaching the Emerj audience via our newsletter or podcast? Learn more at emerj.com/ad1

Returning today is one of my favorite guests, the great and brilliant Derek Choy, Co-Founder & COO of Aktana. This Silicon-Valley-based startup has raised $65+ million to empower data-driven insights for Life Sciences sales professionals with its AI-driven platform. In this episode, Derek helps us understand how you make an AI product work when it is a game-changer, and what hurdles and opportunities arise when bringing a new product to market. Are you interested in more use-cases? Download our guide: "Beginning with AI Guide - 3 Key Insights for Non-Technical Professionals" at emerj.com/beg1

Today's guest is the great and brilliant Max Sklar of Foursquare, a technology platform that powers leading business solutions and consumer products through a deep understanding of the location. Max has spent eight years there as a Machine Learning engineer and is currently an Engineering and Innovation Labs Advisor. He speaks to us today about the possibilities and potential of location data and where this data might be handy in businesses in the future. Is this the future of how we predict consumer behavior? Want to learn more? Check out Emerj Plus: emerj.com/p1

Today guest is the great and brilliant Lars Joakim Nilsson, Manager of Advanced Analytics and Big Data for Inmeta, a consulting firm based in Oslo. Inmeta has worked with very large European enterprise firms on Big Data and AI-related projects. Lars speaks to us this week about why AI adoption in Europe is different and brings forth the myriad of cultural and regulatory challenges that might also be relevant for you, no matter where you live. Want to learn more about AI use-cases? Check out Emerj Plus at: emerj.com/p1

Returning today is the great and brilliant Peter Durlach, Senior Vice President of Healthcare Strategy for Nuance Communications, one of the pioneers and leading companies in conversational AI innovations, servicing the Healthcare space with AI products for well over a decade. Today, Peter goes into detail as to how AI can help improve the revenue recovery workflow, which will help you identify similar workflows and processes within your own business that might be influenced by AI. Do you want to support this show? Be sure to leave us a review on Apple Podcasts and let us know what you like about the program! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Returning with us today is the great and brilliant Geoffrey Tate, Co-Founder and CEO of Flex Logix, a leader in AI chip engineering, offering Neural Inferencing Semiconductor IP/Software and eFPGA Semiconductor IP/Software. In this episode, Geoffrey and I speak about when it makes sense to make AI at the edge, and when it makes sense to have Centralized Compute, what are the advantages of both, and what are the instances where AI at the Edge might be the smarter move to play. Want to learn more? Join Emerj Plus at: Check out Emerj Plus: emerj.com/p1