DiscoverArtificial Intelligence in Industry with Daniel Faggella
Artificial Intelligence in Industry with Daniel Faggella
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Artificial Intelligence in Industry with Daniel Faggella

Author: Daniel Faggella

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Learn what's possible - and what's working - with artificial intelligence in the enterprise.

Each week, Emerj founder Daniel Faggella interviews top AI and machine learning-focused executives and researchers in sectors like Pharma, Banking, Retail, Defense, and more.

Discover trends, learn about what's working now, and learn how to adapt and thrive in an era of AI disruption. Be sure to subscribe to "AI in Industry."
325 Episodes
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Our guest this week is Gaurav Srivastava, CTO at Fareye, an AI company in the logistics space. Gaurav talks about which elements of the existing procurement procedures in the enterprise can stick around and which need to be different when it comes to shopping for AI and looking for new AI solutions. He talks about demos, pilots, social proof, and troubleshooting some of the potential issues that come up when looking for the right AI vendor.  If you haven't already downloaded our PDF guide, 5 Ways to Select the Right AI vendor, you can do so at emerj.com/buy1
We continue our theme this month on buying and procuring AI in the enterprise with this week's guest: Shane Zabel, Head of AI at Raytheon. Shane has seen plenty of internal AI applications and heard plenty of AI vendor pitches. As such, he has some simple and succinct advice for picking an AI vendor that he shares with us on this episode of AI in Industry. If you haven't already, download our free PDF guide: 5 Keys to Selecting the Right AI Vendor at emerj.com/buy1
It's our first AI in Industry episode of the decade. January's theme is on buying and procuring AI in the enterprise. Many of our readers at Emerj want to know which vendors and use-cases are legitimate and which are riding the hype. When it comes to picking an AI vendor, that knowledge is critical.  Our guest this week is Pranay Agrawal, CEO of Fractal Analytics. Pranay shares some of his advice on the technical and cultural considerations for finding the right vendor partner. If you're interested in learning more about working with an AI vendor, we've created a quick PDF guide called 5 Keys to Selecting the Right AI Vendor, which you can download at emerj.com/buy1.
We've touched on a lot of different kinds of expertise in this month-long series on using AI for competitive advantage. We end things by speaking with someone from the startup world: Adam Oliner, Head of Machine Learning at Slack. He speaks with us about building a data moat around your business when it comes to building AI solutions in-house. He puts the overall theme for leveraging AI for competitive advantage very succinctly.  If you're just getting started with AI in your business, be sure to download our succinct guide to adopting AI, Beginning With AI, at emerj.com/beg1.
This week, we speak with Ylan Kazi, VP of Data Science and Machine Learning at UnitedHealth Group. Ylan speaks with us about his take on how AI can be leveraged for competitive advantage, including how to build a "flywheel" of data and build on critical capabilities for adopting AI in the enterprise. If you're at an existing business and looking to get started with AI, be sure to download our free report, Beginning With AI, at emerj.com/beg1.  
This week, we speak with Abigail Hing Wen, Co-Chair of the Fairness, Transparency, and Accountability Expert Group, Machine Learning Transparency. We discuss which AI capabilities actually have the most traction in terms of the science. Most importantly, Abigail talks about how business leaders can wield these promising capabilities in their industries. If you're interested in getting started with AI capabilities, be sure to download ur free Beginning with AI report at emerj.com/beg1.
This week on AI in Industry we continue our theme of focusing on "The Competitive Advantage of AI." Babak Hodjat shares his insights about critical decision-points within a business, and how to leverage them to find high-ROI AI opportunities. Download our free PDF report titled "3 Ways to Discovery AI Trends in Any Sector": emerj.com/t3
This month's theme is on using AI for a competitive advantage. We speak first with Monika Wilczak, Managing Director of AI at EY. Monika speaks to us about how large companies can start to get an edge over the competition by leveraging AI, emphasizing how companies can get started with gaining that advantage. If you're looking for areas of AI opportunity, be sure to download our "3 Ways to Discover AI Trends in Any Sector" report by going to emerj.com/t3.
It's the final week of our month-long series on planning your corporate AI strategy. This week we speak with Shane Zabel, Head of AI at Raytheon. Shane talks to us about the phases of building an AI strategy. What are the steps? He discusses the importance of finding an AI pioneer at a company who can build some initial ideas of what AI use-cases could be viable at the company. If you're in the process of analyzing AI use-cases for your company or clients, we created a guide for this exact topic. Learn more about it at emerj.com/t3.
This week, we speak with Scott Nowson, AI Lead at PWC Middle East, about the critical capabilities nontechnical business people need to understand to be able to advance their career and apply AI in their industry even if their company hasn't started with AI yet. Scott has an uncanny ability to convey business lessons on AI, and he's one of the few people who got our full Getting Started with AI report before today's formal launch. The report is finally open, and in it, listeners can find the must-know knowledge that will allow you to take your AI interest and turn it into real career opportunity without learning any code. Listeners can learn more about it at emerj.com/a1
In this episode, we speak with Adam Bonnifield, VP of AI at Airbus, one of the youngest executives at the firm. He talks about how to think about starting a corporate AI strategy, which for him entails beginning with the data assets. Adam thinks through how to take account of those assets and what kinds of people need to be part of the conversation to unlock the most fruitful AI applications in an established company.
This is a special bonus episode of AI in Industry about advancing your career in the era of AI, specifically for non-technical professionals. If you don't want to learn to code but still make yourself tremendously valuable in the era of AI, this episode is for you. We put together a report on this topic that will be coming out this month, all about getting started with AI in business for nontechnical professionals. Interested listeners can go to emerj.com/c1 to learn more. This week, we have Germán Sanchis-Trilles on the podcast. He's one of our technical advisors, well-schooled in natural language processing, and extremely experienced in applying AI in business. In this episode, he reviews some of the key themes from our upcoming report, including critical ideas about how nontechnical professionals can involve themselves in AI while at work.
This week, we speak with Carlos Escapa, Global AI and ML Practice Leader for Amazon Web Services. Carlos speaks with us this week about starting an AI strategy with a more practical approach. Instead of thinking about how to radically reshape a key part of your business with AI or use AI for AI's sake, Carlos talks about instead thinking about where AI fits in with what your business is already doing. He provides some thought experiments to run through for thinking through this and how to get started with AI.    
Last month, we focused on advancing your career in the age of AI, and this month we have a new theme: building your corporate AI strategy. At Emerj, much of our work in the public and private sector is in building an AI strategy and giving organizations data on where the ROI is in the AI world. This week, we speak with Ian Wilson, former Head of AI at HSBC and a research advisor for our banking work. He has rare experience applying AI strategically at one of the largest banks in the world, and I think he is just the person to start off this month's theme. Ian talks about beginning to plan your AI strategy.
This is our final episode in our series on advancing your career in the era of AI this month. We had more Linkedin messages on this theme than any we've done before, and it got me excited to think about what we could do with this kind of series in the future. In this episode, we distill the insights from this month's series with insights from our broad catalog of interviews with AI-minded executives throughout the many years doing this podcast. We also cover three AI-related career roles that do not involve coding.      
We continue our theme on advancing your career in the era of AI. This week, we speak with another AI lead from a gigantic IT services firm: Cognizant. Bret Greenstein is Head of AI at Cognizant, and he talks about what folks who think about AI in terms of strategic direction, project management, etc., have in common. Brett also discusses how non-technical folks can think about AI in order to take on leadership roles in AI projects, including having a firm understanding of what is possible with AI in their industry.
This week, we speak with Sriram Ramanathan, CTO at Genpact, about what the important non-technical roles exist for making AI work in the enterprise. Everything from project management to quality control and beyond, Sriram lists out areas where nontechnical experts play a critical role in bringing AI to life. 
If you're listening to this podcast, you at least have an interest in leveraging AI in the enterprise. But how do you take that interest and use it to move up in your company and advance your career? In this week's episode, we speak with Muriël Serrurier Schepper, who worked with AI at Rabobank and Shell managing advanced analytics projects. She now has her own AI consulting firm. Muriël speaks with us about her experience using her prior skillset to enter the world of AI, take the reigns of exciting AI projects, and open up more career opportunities for herself.
In October, we're focusing on how non-technical employees can still gain an edge in the era of AI even if they've never learned any code. I can't think of a better guest off the bat than our quest this week: Wijay Wijayakumaran, Chief Architect of Machine Learning and AI at IBM Australia. Wijay emphasizes how much stock he places in the critical importance of subject-matter experts and business leaders with domain knowledge. He also runs through possible career opportunities that non-technical employees can look for in the era of AI and questions they can ask to get more involved with AI projects at their organization.
This is the final episode of our series on the ROI of AI. This week is the monthly analyst call, in which Emerj CEO Daniel Faggella breaks down some of the key themes from this month's interviews. In particular, Daniel puts a large emphasis on connecting the dots between near-term and long-term ROI. A lot of these themes and core questions are discussed and answered for clients of our AI Product Development Roadmap services. 
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Comments (5)

Atul Nevase

Nikhil is awesome

Mar 4th
Reply

Zazzy Jan

good

Oct 22nd
Reply

Tracey Drake

Congratulations to Dan on his patience in this episode, with a completely uncooperative guest. Not worth the time.

Oct 2nd
Reply

Dom Hernandez

awesome podcast.

Sep 25th
Reply

Albert Reynaud

very good

Nov 18th
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