Stay ConnectedThe AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI.
Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups – uncovering trends, use-cases, and best practices for practical AI adoption.
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Copyright: © Daniel Faggella, 2014
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.
Today's guest is Matt Berseth, Co-Founder and CIO of NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. In this episode, we're exploring the transition from light involvement in data and data science to much more deep participation, where there are a lot of transferable lessons in adoption ideas. We also discuss the lasagna vs. pizza analogy from an excellent past interview. Matt describes how we can take the data leveraged by that product and use it to help the users save time, give them more convenience, or open up more capabilities. He also articulates the gradual process of working at the surface level, learning lessons, and rebuilding some of the core components of a product. This episode is brought to you by NLP Logix. To learn more about Emerj Media and how we help AI services firms reach a global audience, be sure to visit emerj.com/ad1.
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.
Today's guest is Stefan Boronea, Co-Founder and CTO of Proportunity. Based in London, Proportunity is a company that has raised over $170M. In this episode, we dive into the topic of where machine learning can add value in terms of accurately predicting the price of homes both now and in the future. Stefan highlights the kind of data and features that are important to understand the price of a home in the present and the future. Another critical idea he shares is about the future of the market when both buyers and sellers have access to vastly more accurate data on estimating and forecasting prices. He discusses these ideas from the standpoint of buying and selling houses and gives a perspective on how they may impact larger assets. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for enterprise leaders, visit emerj.com/p1.
This week's guest on our ongoing AI Success Factors series is Gero Gunkel of Zurich Insurance. Until recently, he was the Global Head of Artificial Intelligence for Zurich Insurance, and he is now the COO of Zurich's Customer Active Management or ZCAM. In today's episode, Gero discusses one particular use-case in helping to handle the extreme volumes of customer support inquiries that Zurich receives during certain seasons. There are two main takeaways: first, where to find the low-hanging fruit for customer experience applications for AI, and second, how to "think big and start small" from an actionable steps level in a way that achieves a measurable ROI. If you are in the financial services industry or interested in more related use-cases, be sure to subscribe to our other program called "The AI in Financial Services Podcast" on your preferred podcast platform to gain industry insights from enterprise leaders.
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