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AI in Business

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The 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 Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives from Fortune 500 firms and unicorn startups - to uncover trends, use-cases, and best practices for practical AI adoption.

Subscribe to Emerj's weekly AI newsletter by downloading our "Beginning with AI" PDF guide: https://emerj.com/beg1 Continue Reading >>
The 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 Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives from Fortune 500 firms and unicorn startups - to uncover trends, use-cases, and best practices for practical AI adoption.

Subscribe to Emerj's weekly AI newsletter by downloading our "Beginning with AI" PDF guide: https://emerj.com/beg1 << Show Less
Featured Audio
The Future of AI in Market Surveillance - with Arcangelo Grisi of HSBC Today’s guest is Arcangelo Grisi, Head of Market Surveillance for the U.S. at HSBC. As one of the largest financial services organizations in the world, HSBC generates approximately $50B in revenue per year. In this episode, Arcangelo explores the monitoring of trades regarding manipulating the markets and monitoring communications. He goes into detail about how challenging and essential this role really is within the enterprise. This episode is part of our broader series on AI and compliance sponsored by Smarsh. Smarsh has given us a broad mandate to reach AI experts in the domain of compliance and learn their best practices for adopting the technology. To learn more about sponsored content and how to engage with the Emerj audience, visit emerj.com/ad1.
Newest Audio
The Future of AI in Market Surveillance - with Arcangelo Grisi of HSBC Today’s guest is Arcangelo Grisi, Head of Market Surveillance for the U.S. at HSBC. As one of the largest financial services organizations in the world, HSBC generates approximately $50B in revenue per year. In this episode, Arcangelo explores the monitoring of trades regarding manipulating the markets and monitoring communications. He goes into detail about how challenging and essential this role really is within the enterprise. This episode is part of our broader series on AI and compliance sponsored by Smarsh. Smarsh has given us a broad mandate to reach AI experts in the domain of compliance and learn their best practices for adopting the technology. To learn more about sponsored content and how to engage with the Emerj audience, visit emerj.com/ad1.
[AI is Here] Leveraging Knowledge Graphs in Life Sciences - with Krishna Bulusu of AstraZeneca Today’s guest is Dr. Krishna Bulusu. Holding a Ph.D. from the Institute of Cancer Research and completing his post-doctoral research at the University of Edinburgh, Krishna was, until recently,  an Honorary Lecturer for the Department of Neuroscience at the University of Sheffield. Krishna has worked at Astra Zeneca for the last six years and is currently the Director of Early Computational Oncology. In this episode, Krishna discusses how we can more effectively leverage endless streams of data in the life sciences industry to develop drugs and treatments with knowledge graphs. He also shares his perspective on the current impact of AI and where and how knowledge graphs are impacting workflows today. This episode is part of our AI is Here series sponsored by SambaNova Systems. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.
The AI Adoption Journey for AI in Service Operations - with Chris MacDonald of PTC Today’s guest is Chris MacDonald, Head of AI and Analytics at PTC. PTC is a multibillion-dollar software firm focused on the service operations industry, and Chris speaks with us this week about the AI adoption journey for folks in service operations. In this episode, we discuss what it looks like for companies to ensure their customers get as much value out of their products as possible while simultaneously collecting data and learning how to improve future products. Chris highlights the importance of ensuring data quality and working as a team in this process. He also shares some of the unique elements of this particular life cycle of a product that is created and then shipped off and put under someone else’s control but continues to be monitored and improved by the manufacturer. This episode is brought to you by PTC. To discover more service-related insights from Chris, tune in to PTC's Speaking of Service podcast. For more information about Emerj Media and sponsored content opportunities, visit emerj.com/ad1.
How Data is "Waking Up" to Impact Banking Compliance - with Kai Schrimpf of UBS Today’s guest is Kai Schrimpf, Global Head of Transaction Monitoring at UBS. UBS is a financial services organization doing more than $35 billion in annual revenue based in Zurich and Basel, Switzerland. In this episode, we dive into compliance in the banking and financial services space. There are three distinct topic areas in today’s episode. First, Kai provides a big-picture perspective on the state of compliance in banking and financial services today and current workflows that could be leveled up. Secondly, he discusses specific use-cases and describes areas where he sees data ‘wake up’ in terms of its value for keeping firms in line with regulatory standards. Lastly, Kai shares some business advice for enterprise leaders and speaks about what business leaders should know before adopting artificial intelligence in a financial services organization. This episode is part of a series sponsored by Smarsh. In this series, we’re focusing on bringing on global experts in compliance to get varied perspectives on where AI and data are adding value today.
AI in Law, Current and Future Applications - with Neil Sahota of UC Irvine Today’s guest is Neil Sahota, CEO of ACSI Labs and Chief Innovation Officer at the UC Irvine School of Law. Neil previously worked with IBM for 12 years as a Master Inventor focused on developing new patents with a particular emphasis on big data and analytics. In this episode, we are focused on the legal space. In the first part of this episode, Neil dives into specific use-cases that highlight where AI is impacting law today. He discusses several applications that lawyers, law firms, and legal departments at large enterprises use today with high traction. In the second part of this episode, Neil shares his perspective of the areas in the legal world that he believes are most likely to be disrupted by AI in the next five years. Regardless of industry, Neil provides critical insights about what the future might hold for certain kinds of processes and workflows that are most likely to be automated.
AI in Insurance - Addressing Compliance Considerations - with Pardeep Bassi of WTW In this episode, we’re focusing on compliance considerations in the insurance world. Our guest this week is Pardeep Bassi. He is currently Global Proposition Leader of Data Science for WTW, or Willis Towers Watson, a publicly traded financial services firm based in the United Kingdom. This week Pardeep covers two different topics with us. First, he discusses some areas where regulation intersects with AI applications in insurance and what the potential data risks for elements such as transparency, personal data use, etc., are. Secondly, Pardeep dives into how leaders might consider these regulatory rules in their adoption strategy. Not only to meet regulatory compliance rules but also to potentially use AI to address them. This episode is brought to you by Smarsh and is part of a broader series on AI applications for compliance and communications intelligence. To learn more about how to reach Emerj’s global executive audience with Emerj Media, visit emerj.com/ad1.
[AI is Here] Lessons of Successful AI Adoption - with Marshall Choy of SambaNova Systems Today’s guest is Marshall Choy, Senior Vice President of Product at SambaNova Systems. This episode is part of our AI is Here series, where we’ve talked about the current impact of AI across industries with practitioners and leaders across the United States and Europe. In this episode, we’re focusing on AI adoption trends and what successful AI adopters are doing that others aren’t. Marshall discusses the trends he’s noticed in enterprises adopting AI well from a team perspective, a technology perspective, and a decision-making perspective. He also speaks about some of the differences between the American and European AI ecosystems and what European business leaders may potentially want to consider. This episode is brought to you by SambaNova Systems. To learn more about the AI is Here initiative and to learn more about how you might reach Emerj’s global audience, visit emerj.com/ad1.
The Value of Exploration for Enterprise AI Success - with Aakash Indurkhya of Virtualitics Today’s guest is Aakash Indurkhya, Co-Head of AI at Virtualitics. Virtualitics is a venture-backed firm based in Pasadena, California. In this episode, we discuss what it means to explore our data and identify where the gaps in our data quality or potentially the gaps in essential data fields are. Aakash speaks to us this week about not only what exploration, that is to say, why it’s valuable conceptually – when dealing with tremendous volumes of data, what does exploration accomplish, and where specifically, better exploration can lead to better results? He dives into two specific use-cases, one in drug development and one in retail. While these are vastly different worlds, these use-cases focus on exploring data well to train an AI model and deliver the desired results in the enterprise. Aakash provides an excellent conceptual overview from a C-suite vantage point of the role. Virtualitics sponsor this episode. To learn more about reaching Emerj’s global executive audience and sponsored opportunities, visit emerj.com/ad1.
Large Language Models in the Enterprise - with Mark Russinovich, CTO of Microsoft Azure Today’s guest is Mark Russinovich, CTO of Microsoft Azure. In this episode, we focus on large language models, and Mark speaks with us about two distinct topics. First, he discusses actual, in-the-field applications of large language models today. Mark goes over several of them, but one use-case with Carmax is particularly useful for natural language generation in an enterprise use-case. Secondly, Mark talks about what he would recommend for enterprise leaders who would like to look at their own business and identify where they can apply the value of large language models within their enterprise and the particular workflows that might be optimal for LLMs. This episode is sponsored by Kisaco Research. This year, the Kisaco Research AI Hardware Summit takes place from September 13th through September 15th at the Santa Clara Marriott in California. Mark is among many distinguished speakers, including infrastructure and AI leaders at Meta, Wells Fargo, Salesforce, and more.
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