The AI in Business Podcast

Nishtha Jain, AI innovation and strategy leader at Takeda Pharmaceuticals, aligns advanced analytics with clinical, regulatory, and operational workflows. She explores why enterprise AI pilots stall. She covers unrealistic expectations, focusing on use cases over flashy models, tackling employee fear, human-centered design, measuring ROI beyond cost cuts, and building flexible, experiment-driven operating models.

Stephen Wolfram, founder of Wolfram Research and creator of Mathematica and Wolfram|Alpha, shares his work on computation and complexity. He explores how simple rules produce unpredictable systems, why computational irreducibility limits shortcuts, and how evolution and coarse objectives shape adaptive AI. They also debate life, sentience, and ethical questions around uploads and post-human futures.

Naveen Kumar, Head of AI Governance at TD Bank, is an expert in AI risk and compliance. He discusses where copyright, licensing, and audibility risks show up in financial workflows. He outlines what defensible AI looks like: transparent pipelines, output guardrails, human review, and audit logging. He also covers sandboxing, role-based data access, and handling partner data and customer consent.

Dean Alms, Chief Product Officer at Aravo and third-party risk specialist, discusses how vendor risk has become a board-level data and AI challenge. He covers AI-driven document ingestion and validation. He explains auto-generating corrective actions and chat-like access to risk data. He urges use-case-driven AI for continuous monitoring, remediation, and supplier lifecycle resilience.

Vijoy Pandey, Special VP and GM at Cisco leading Outshift, pioneers incubation and strategy for emerging enterprise tech. He explains the shift to agent-driven, probabilistic systems. He discusses interoperability, task- and transaction-based access controls, and using simulation and validation to lower operational risk. He outlines multi-agent workflows for regulated, mission-critical environments.

Gillian Hinkle, Senior Director of Growth & Digital Marketing for Heroku at Salesforce, brings enterprise growth and data-driven AI experience. She breaks down tool creep and how to pick the right projects. She clarifies automation versus generative and agentic systems. She stresses human-in-the-loop design, tighter data governance, and starting with narrow, high-impact marketing workflows like lead qualification and handoffs.

David Carmona, VP of Discovery & Quantum at Microsoft, who applies AI and advanced computing to accelerate scientific research. He discusses AI enabling net-new discovery and reshaping R&D workflows. The conversation covers AI agents that reason over literature, compliance and traceability in regulated research, prioritizing discoveries for business impact, and how leaders can scale AI across organizations.

Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota, balances AI innovation with governance in regulated healthcare. He discusses framing AI risk with everyday analogies. He explains forming cross-functional teams for practical policies. He outlines an AI 'do no harm' approach using low-risk pilots. He highlights AI uses that improve patient experience like lab explanations and wait-time predictions.

Daniel Lidar, a leading expert in quantum computing and Director at USC, and Izhar Medalsy, CEO of Quantum Elements, dive into the urgent role of quantum technology in today's enterprise landscapes. They demystify qubits with a simple analogy, explore practical uses like drug design and financial optimization, and discuss challenges like noise reduction. The duo emphasizes the need for businesses to adopt quantum strategies now and navigate the balance between sci-fi possibilities and real-world applications in technology.

Nina Edwards, Vice President of Emerging Technology and Innovation at Prudential Insurance, shares her expertise in AI compliance and governance. She highlights the risks posed by employee behavior with AI tools, advocating for structured licensing and provenance to safeguard against IP issues. Nina introduces the concept of instrumented sandboxes for safe experimentation, balancing speed with compliance through phased discovery. Her insights reveal how fostering a culture of awareness and regular audits can empower enterprises to innovate responsibly and effectively.