The AI in Business Podcast

Taylor Sullivan, Head of Product and Assessments at Workera, dives into the world of AI-driven skills verification. He shares insights on the limitations of traditional skill inferencing methods like resumes. Discover how AI can create detailed skill taxonomies to better match candidates to roles. Taylor discusses the importance of psychometrically valid assessments for accuracy and fairness. He also highlights how verified skills data can enhance business outcomes, reduce hiring errors, and promote meritocratic practices in organizations.

In this engaging discussion, Sachit Kamat, Chief Product Officer at Eightfold AI, unveils the transformative potential of agentic AI in HR. He explains how it automates and scales candidate interviews, enhancing engagement and talent discovery. The conversation also touches on ensuring compliance in regulated industries and rethinking HR workflows to adapt to agentic practices. Sachit highlights the importance of fluid talent processes to address skills gaps while emphasizing that human adaptability is irreplaceable, even as AI systems grow more complex.

In this discussion, Greg Ratcliff, Chief Innovation Officer at Vertiv with three decades of experience in data and IoT, shares insights on scaling AI through smart infrastructure. He highlights the significance of addressing power, latency, and throughput constraints. Greg advocates for modular, prefabricated data centers to tackle talent shortages. He also emphasizes the value of hybrid data strategies and the importance of keeping sensitive data local. Misconceptions about data center careers are addressed, portraying them as high-tech and sustainable job opportunities.

In this engaging discussion, Jim Johnson, President of AnswerRocket, dives into the complexities of consumer packaged goods (CPG) data. He highlights how SKU and market scaling challenges complicate data analysis. Jim reveals how agentic AI can revolutionize decision-making by transforming data into actionable insights, eliminating the need for tedious dashboards. He emphasizes training AI systems like new hires and advocates for positioning AI as a helpful augmentation, ultimately enabling teams to uncover fresh revenue opportunities.

In this engaging discussion, Matt Berseth, Co-founder and CIO at NLP Logix, and Russell Dixon, Strategic Advisor at NLP Logix, share insights on deploying AI tools like ChatGPT Enterprise and Microsoft Copilot. They delve into the challenges of tool creep and the importance of strategic planning and user training for effective adoption. The duo highlights essential initial questions for leaders and outlines metrics to measure ROI, emphasizing the value of feedback loops for continuous improvement. Learn how to navigate the complexities of enterprise AI integration!

Emily Nguyen, Head of Industrials and Warp Speed at Palantir Technologies, brings over a decade of expertise on AI in manufacturing. She discusses the stubborn persistence of legacy systems and how they hinder efficiency. Emily emphasizes the need for better interoperability between siloed systems to enhance decision-making. She shares insights on using AI tools like LLMs to automate routine tasks, promote scenario planning, and build AI readiness incrementally without overhauling existing processes.

Dag Liodden, Chief Product Officer and Co-founder at Crisp, shares valuable insights on harnessing agentic AI for CPG success. He discusses the challenges of fragmented data and how harmonized data can streamline workflows. Dag emphasizes the importance of a semantic layer for consistent definitions, enabling precise AI-driven insights. He reveals fascinating use cases for AI in category and supply chain management, predicting a future where agents autonomously take corrective actions. These advancements free teams to focus on strategy, boosting overall performance.

Ranjan Sinha, an IBM Fellow and CTO for watsonx, discusses the pivotal role of scalable AI infrastructure in transforming enterprises. He highlights the evolution from isolated AI experiments to mission-critical applications, emphasizing a robust data strategy as foundational. Ranjan elaborates on innovative advancements like IBM's NorthPole neuromorphic chip and the roadmap for quantum computing by 2029. He also addresses the risks associated with generative AI, the significance of open-source frameworks, and the need for reliable governance in enterprise AI adoption.

Scott Bradley, Vice President of AI and Innovation at Novartis, discusses how artificial intelligence is revolutionizing clinical trials. He highlights the challenges of outdated protocols and how COVID pushed for innovation. Scott explains the evolving role of clinical staff with AI focusing on oversight. He emphasizes AI's ability to streamline protocol design and enhance patient engagement while maintaining trust through user testing. With a focus on personalized medicine, he reveals how predictive models can optimize trial processes, ultimately reshaping the future of pharmaceutical development.

Xiong Liu, Director of Data Science and AI at Novartis, discusses how generative AI is revolutionizing life sciences R&D. He highlights the shift from traditional machine learning to foundation models, which can significantly enhance small-data tasks. Xiong explains the importance of domain-specific strategies and the role of data quality in accelerating research. He emphasizes organizational alignment among scientists and AI teams to ensure successful AI adoption, providing insights on overcoming challenges like data scarcity and validation risks.