The AI in Business Podcast

Today's guest is Roey Mechrez, CEO and Co-Founder of BeyondMinds. BeyondMinds is an AI company based in London. Recorded live in London, this episode highlights the topic of data-centric AI. Roey provides a clear definition of this concept and discusses what it implies for the future of enterprise AI projects. He also speaks about the specific ideas that non-technical business leaders need to understand to identify suitable projects and manage them to achieve a return on investment. Roey is also a valued Emerj Plus member. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

This week's Success Factors series episode highlights a use-case of construction and AI. In today's episode, we speak about one of the UK's most prominent building and construction companies that used artificial intelligence to better estimate their cost with greater confidence and credibility than their competitors and make a case for why they should win the job. Our guest is the Co-Founder and CEO of a London-based company called nPlan, Dev Amratia. Every Monday, we publish a short episode as part of our ongoing AI Success Factors series, highlighting one specific AI use-case and what made it successful. Discover more AI use-cases, best practice guides, white papers, frameworks, and more by joining Emerj Plus at emerj.com/p1.

Today's guest is Sunil Tahilramani, Director of Artificial Intelligence at UiPath. Valued at about $40B, UiPath is one of the robotics processing automation world leaders. In today's episode, Sunil discusses what the journey from RPA to AI looks like. He details some of the use-cases where AI might be able to add value where RPA can't and how to get from regular automated workflows to more robust workflows that enable more capability with AI. If you're interested in Emerj's best practices and frameworks for AI ROI, AI strategy, and our entire library of AI use-cases from financial services to banking, wealth management, and beyond, you can learn more at emerj.com/p1.

Today's episode is part of our ongoing AI Success Factors series. Every Monday, we publish 15-minute episodes that focus on an enterprise success story where we discuss one particular factor that made the project successful. Today's guest is Nikunj Mehta, CEO, and Founder of Falkonry. Falkonry is an AI service firm based in the Bay Area, focusing primarily on heavy industry. In today's episode, Nikunj highlights the extreme importance of subject-matter expertise when it comes to knowing when to pull in a champion to lead a project to success. Nikunj discusses these core themes in the context of a specific client success story in the steel manufacturing space. To access Emerj's frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today's guest is Amaresh Tripathy, Senior Vice President and Global Business Lead for Analytics at Genpact. Genpact has some 80,000 employees, and Amaresh leads a global team of nearly 8,000 analytics experts covering everything from data engineering, machine learning, data insights, and more. This episode focuses on data fabrics and what separates the idea of a data fabric from a data lake, and how enterprise leaders can make sure that this fabric translates immediately to use-cases that add value with near-term ROI and building long-term capability. Amaresh also clarifies the concept of data fabric and ties it to use-cases applicable in business with real examples from some of Genpact's clients. Join Emerj Plus at emerj.com/p1 to discover more AI use-cases, best practice guides, whitepapers, frameworks, and more.

This is our series on AI success factors where we cover one specific enterprise AI project that was a success, highlighting the problem, impact, and what made it a success every Monday. One of our five guests in our recent week-long series on AI ROI was Gopalan Oppiliappan, the Head of the AI Centre of Excellence for Intel. In that episode, he discussed framework thinking for making decisions about AI projects to achieve greater success. In today's episode, Gopalan shares how he puts those frameworks in action with a specific success story about inventory management at Intel. He gives a real example of crawl, walk, run and how it made a positive financial impact at Intel. He also discusses a key strategy for measuring and determining economic impact. If you enjoyed today's episode, be sure to go back to listen to Gopalan's recent episode and the rest of the insight-packed series on AI ROI.

Today's guest is Ash Fontana, Special Advisor at Zetta Venture Partners based in the Bay Area. After recently publishing his book, "The AI-First Company," Ash joins us again on the show to discuss some of the core transferable lessons he's learned. Our topic for this episode is advantage. Ash discusses a way of thinking about building momentum around data and gaining long-term advantage as a result. This episode is one of two episodes Ash recently recorded with us. If you enjoyed today's episode, be sure to tune in to his second episode on The AI Consulting Podcast to gain insight on how services companies can turn into AI product companies.

Today's guest is Dr. Charles Martin, Founder of Calculation Consulting. Charles has worked on real enterprise deployments with companies like eBay, BlackRock, and exciting startups like Aardvark, which Google acquired. Today's episode is part of our ongoing Monday series highlighting one key factor for one specific successful enterprise deployment. In today's episode, Charles discusses a project with Walmart focusing on the use-case of product recommendations in different languages and geo-regions. The main success factor he speaks about is the champion who brings the project through to success. He specifically describes the qualities and behaviors of a good champion. Stay tuned until the end of this episode to learn more about our resources to help AI champions in the enterprise.

Today is episode five out of five of this week's special series on Achieving ROI with Early AI Projects. We've heard from leaders from Intel, Oracle, and other big names, and today, we're wrapping this series up with someone from the startup world. Our guest is Nikunj Mehta, Founder and CEO of Falkonry. Falkonry is an AI services business focused on heavy industry and manufacturing based in the Bay Area. In this episode, Nikunj describes a portfolio approach to find several related AI projects and capabilities that are likely to turn into a win. He also discusses why an enterprise's most important objectives are not always the best fit for early AI projects. Stay tuned until the end of this episode to learn about the AI ROI reports that we're making available for a limited period.

Today's episode is part four out of five in our Achieving ROI with Early AI Projects series. This week, we have published one episode per day, starting with the Head of the AI Centre of Excellence for Intel. Today, we're bringing it down to more of a consultancy and vendor perspective from someone who has worked with some of the largest enterprises in the world. Our guest is Dr. Charles Martin, a Silicon Valley AI Consultant with hands-on machine learning experience with organizations like Ebay, BlackRock, and more. In this episode, Charles discusses the concept of data quality mismatch, which can serve as a useful diagnostic tool for estimating what kinds of tasks it will be best suited for. He also speaks about picking projects where you have the data assets to achieve ROI. Be sure to visit emerj.com/p1 to access Emerj's frameworks for AI readiness, ROI, and strategy.