Today’s guest is Asif Hasan, Co-founder of Quantiphi. Quantiphi is an AI-First digital engineering company that designs AI-driven services and platforms for broad applications across industries. In conversation with Emerj CEO and Head of Research Daniel Faggella, Asif explores the potential of large language models with pragmatic explanations of how the technology works. Throughout, he underscores that the costs of cognitive work is about to plummet thanks to the impact of this technology. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.  

Today’s guest is Dr. Raghav Vadhera, Lead Technical Architect for AI/ML Platform & Services at Raytheon. In conversation with Emerj CEO and Head of Research Daniel Faggella recorded live at The AI Accelerator Summit in Boston in October 2022, they cover leveling up AI public-private projects through changing leadership mindsets with more and young talent that helps older enterprises unlearning old lessons from the IT-dominant world. In the process, Raghav offers lessons learned in earning executive buy-in amid challenging stakeholder relationships throughout his entire career.  

Today’s guest is Mark Brunner, President of Primer Federal. Together with Emerj Senior Editor Matthew DeMello, Mark examines the three major gaps between the Department of Defense’s current AI capabilities and the race for dominance with China – especially in areas where what he calls the defense industrial network can fill with emerging AI superiorities emerging from the Ukrainian battlefront. Later, they talk about what sets the race apart in the history of armed conflict and the importance of end-user data from subject matter experts in updating legacy systems. This episode is sponsored by Primer. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.  

Today’s guest is NLPLogix CFO and COO Fallon Gorman. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. Fallon joins us on today’s program to discuss the best strategies for organizations to attain ROI from AI projects. In conversation with Emerj Senior Editor Matthew DeMello, Fallon talks about how “pain points” are symptomatic of larger problems and how easily business leadership can misjudge the complexity of a project based on a lack of concrete understanding of AI’s true capabilities. This episode is sponsored by NLP Logix. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.  

Today’s guest is Gero Gunkel, Chief Operating Officer and Data Science Leader for Zurich Insurance. Gero returns to the program to explain to Emerj Senior Editor Matthew DeMello how much successful AI adoptions rely on planning that has nothing to do with coding, data, or algorithms. In listing considerations from design to keeping subject matter experts engaged, Gero cites specific insurance-related examples where non-technical decisions can make or break an early in-house AI initiative. Download our PDF brief “AI in Insurance: Executive Cheat Sheet” at emerj.com/ins1.  

Today’s guest is VP Platform for AI21 Labs, Dan Padnos. AI21 Labs is a Tel Aviv-based software company specializing in natural language processing-based systems. Together with Emerj Senior Editor Matthew DeMello, Dan looks at retail and eCommerce challenges in ensuring accurate product descriptions and personalization at scale, and how advanced large language models like GPT4 are providing solutions. This episode is sponsored by AI21Labs. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.  

Today’s guest is Carlo Giovine, a partner with McKinsey and lead for QuantumBlack Labs. He joins us to share findings from McKinsey’s “State of AI” in 2022 report – and why the nuances of the study run counter to a lot of cliches we find in the current hype cycles of AI-associated technologies like large language models and conversational AI. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!  

Today’s guest is Chris Nelson, Senior Vice President of Asset Protection at Gap Inc. Chris joins us to share his experience in loss prevention going from the military to on-site security and on to the world of data. He describes the challenges in each realm, where they are interrelated, and what the difference looks like in data signals. This episode is sponsored by Riskified. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.  

Today’s guest is Amaresh Tripathy, Senior Vice President and Global Business Leader at Genpact. Genpact is an American professional services firm that employs over 100,000 people in over 30 countries. He leads a team of 15,000 analytics experts covering data engineering, data insights, AI, and machine learning. Today’s program is the first in a multi-episode series focusing on winning executive buy-in for AI projects. Amaresh joins Emerj CEO and Head of Research Daniel Fagella to talk about the importance of fluency in business and data among enterprise leadership. Later, he offers a framework for cooperatively assessing an organization’s capacity for innovation and scale. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.  

Today’s guest is Connie Chan, General Partner at a16z. In conversation with Emerj Senior Editor Matthew DeMello, Connie discusses the challenges consumer companies are facing from distribution to mobile technology. Later, she addresses how AI use cases in personalization and the consolidation of social media as marketing distribution channels will shape the future of consumer technology.    A note from a16z on today’s episode: The content here is for informational purposes only and should not be taken as legal, business, tax, or investment advice, or be used to evaluate any investment or security and is not directed at any investors or potential investors in any a16z fund. For more details, please see a16z.com/disclosures.