Today’s guest is Arun Iyengar, CEO at Untether AI. Untether is a semiconductor firm based in Toronto, but with employees all over North America, including Silicon Valley. Arun previously worked with AMD, another major hardware and software firm in the Bay Area, before stepping into his current CEO role at Untether AI. In this episode, Arun shares some insight on the potential use-cases for video processing with artificial intelligence and some of the existing barriers for AI hardware, and how we might potentially overcome them. He also provides a perspective on where hardware is taking us into the future. There are a lot of use-cases for AI on the edge and there are a lot of new use-cases for video and image data – how can hardware play its part in being able to not only reduce the compute and financial cost of video processing but also open up new capabilities and enable businesses to do things that they couldn’t do before? This episode is brought to you by Untether AI If you’re interested in reaching Emerj’s global audience on the biggest B2B AI podcast on the web, be sure to visit emerj.com/ad1.

Today’s guest in our second episode of the AI is Here series is Gero Gunkel, COO for Zurich Customer Active Management at Zurich Insurance. He was formerly the company’s Global Head of AI. In this episode, Gero provides his perspective on the accessibility of NLP applications in insurance and where it’s making a difference today. Gero also gives a good idea of why that is, what use-cases he’s seeing make a dent today, and connects those thoughts to what the future of insurance looks like. This special AI is Here episode is brought to you by SambaNova Systems, the sponsor of this series. SambaNova believes that AI is Here, and we’ve partnered with them to bring these episodes to you. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today, our guest is Brett Beranek, VP and General Manager for Security and Biometrics at Nuance Communications. For an AI company, Nuance is relatively large. Microsoft recently bought the company for $19.7B, and they serve a variety of industries. Our topic today is the importance of subject-matter experts. Brett provides essential insights regardless of your industry because subject-matter experts play an important role in AI adoption. Within Emerj Plus, we have a long executive guide on the importance of subject-matter experts, and this interview will provide a lot of richness and depth on top of that from first-hand experience. If you’re interested in learning more about Emerj Plus and how to unlock our AI best practice guides, frameworks for AI ROI, and specific resources for enterprise leaders, visit emerj.com/p1.

Today’s guest is Ian Wilson, Managing Director at Strategy 4 AI, a strategy and consulting firm based in Cambridge in the UK. He discusses two crucial topics in this particular episode. First, where can AI actually step in, interact with a customer, and not make it worse but potentially improve? Ian talks about some of those use-cases and how to identify them within a financial services institution. The second main topic Ian discusses is some of the challenges and how to identify where humans may offer a better experience and where it might make more sense to keep them in the loop, and what it will take to overcome that moving forward. Ian will soon join us on our other podcast called “The AI in Financial Services Podcast,” where we specifically focus on use-cases in that industry. Be sure to subscribe to your preferred podcast platform to hear his insights, perspective, and more in that upcoming episode.

Today’s episode is part of our new sponsored series called “AI is Here,” where we will speak with AI experts across industries and ask them where AI is impacting their industry today and what that means for the future. In this first episode, we’re exploring the energy sector by speaking to an AI expert at one of the world’s largest energy firms: Shell. Today’s guest is Dan Jeavons, VP of Computational Science, Digital Innovation, and IT. In this episode, Dan speaks about leveraging AI to simulate the operations of an energy firm to achieve better business and sustainability outcomes. He also paints a picture of the world we’re headed into, one with a more distributed energy ecosystem where the environment is an even more important consideration for energy firms. This special episode is brought to you by SambaNova Systems. SambaNova believes that AI is here, and we’ve partnered with them to bring you AI trends and impacts affecting different industries today in this new Wednesday series. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Matt Berseth, Co-Founder of NLP Logix, discusses transitioning to deep data involvement in AI products, adapting lasagna vs. pizza analogy. He emphasizes starting with simple assumptions, gathering feedback, and iterating AI development. The podcast explores the importance of integrating AI from the start, mindset shifts, and embracing iteration cycles in AI product development.

Today’s episode is part of our ongoing AI Success Factors series, where we cover one enterprise AI use-case with a measurable ROI and discuss what made it successful every Monday. Today, we’re going to explore the topic of maintaining railways. Our guest this week is Adam Bonnifield, CEO of Konux. Konux applies its AI technology to the rail space, and in this episode, Adam shares his perspective on a unique use-case between Konux and Network Rail, a large railway firm in the United Kingdom. Adam walks us through why achieving ground truth data was so critical for this project and what it looked like to work together with Network Rail to make those key distinctions in terms of computer vision and imagery that would define the success of the project. Discover more AI use-cases, best practice guides, white papers, frameworks, and more at emerj.com/p1.

Today’s guest is Ed d’Archimbaud, Co-Founder and CTO of Kili Technology, based in Paris, France. He has previously worked with large financial institutions such as BNP Paribas, which he speaks about in this episode. We focus on two main topics in this episode: first, we discuss some paperwork-heavy workflows tied to compliance and how AI can provide a solution. The second main topic is data-centric AI and what it looks like to put it into action. Towards the end of this episode, Ed shares how he believes subject-matter experts will be critical to the future of democratizing the technology and winning long-term adoption in the financial services industry and elsewhere. This episode is brought to you by Kili Technology. If you’d like to learn more about reaching Emerj’s global executive audience, visit emerj.com/ad1.

Today’s guest is Michael Berger, Head of Insure AI at Munich Re. In this episode, Michael brings to bear his perspective as someone with technical experience in the industry and as the leader of Insure AI at one of the world’s largest insurance firms. Michael provides a sense of the risks inherent to large AI deployments, from legal risks to physical threats and more. He also discusses how monitoring and pricing risk from an insurance policy standpoint can be updated and act almost as a living document based on the adopting and changing application itself. If you’d like to discover more financial services use-cases, be sure to subscribe to our other show, The AI in Financial Services Podcast, on your preferred podcast platform and find more use-cases on topics such as banking, insurance, wealth management, and much more.

Today in our latest AI Success Factors series episode, we are focusing on the world of heavy industry while highlighting lessons that can be applied any and everywhere. Our guest this week and Chris Joynt, AIoT Co-innovation Leader for the Solutions Group at PTC. PTC is a software firm based in the Boston area. In this episode, Chris discusses what it takes to measure ROI across several different dimensions. He also emphasizes the importance of feature engineering, what it is from a conceptual point of view, and how to use subject-matter experts to handle feature engineering and bring out elements of the data that can support enterprise leaders in their decisions. This episode is sponsored by PTC. If you’d like to learn more about reaching Emerj’s global executive audience through our podcasts, newsletters, and more, visit emerj.com/ad1.