Future Says

In S4E5, featuring Accurate Consulting's Johan Kölhi, explore the importance of building the “magic mix” of AI and business expertise within teams, and also how (and why) to build AI “communities," keeping it simple with data/AI, and how organizations can ensure they're building safe, reliable AI applications.

In this episode with Magna’s Rajeev Verma, explore the automotive innovations driven by data analytics and Industry 4.0 practices. Discover how Verma believes the “fourth industrial revolution” is impacting auto, including how it’s revamping data analytics tools and processes, changing data scientists’ roles, expanding the importance of MLOps, and much more.

This episode, featuring Nissan’s Anant Agarwal, is all about data. Learn more about why Agarwal believes enterprise-wide data literacy is more important than ever in the automotive industry. Tune in to this episode to explore the power and importance of data literacy, the developing generative AI landscape, what’s next for data and AI in automotive, and much more.

In this episode featuring Renault’s Luc Julia, discover how Silicon Valley and artificial intelligence (AI) is transforming the global automotive industry. Tune in to discover Julia’s Silicon Valley background and its impact within Renault, AI’s impact on automotive design and development, the status of the “AI hype cycle,” AI as a tool for good, and much more.

Welcome to season four of Future Says! This season is all about the automotive industry. To kick off S4, host Sean Lang speaks to Peter Campbell, a global motor industry correspondent for the Financial Times. In this episode, the two discuss megatrends in the automotive industry, the industry-wide race to electrification, data analytics, and much more.

In this episode, host Sean Lang speaks with Ravi Parmeswar, vice president of consumer business intelligence at Johnson & Johnson. The duo discuss Parmeswar's idea of "hard" and "soft" skills and how to build them, how to score short-term data science and AI wins in service of a long-term vision, the coming generation of computational science and the people who will lead the industry, and more.

In this episode, host Sean Lang welcomes guest Jan Chirkowski, vice president of analytics and fleet operations at Kongsberg. Here, the two discuss the shifting, growing role of data science (even in non-data traditional industries), what role data science will play in the future, and how digital twin technology has already transformed the way Kongsberg does business.

In this episode, host Sean Lang and Deheeger discuss how more domain experts in engineering, data science, manufacturing, and more are now working in hands-on AI roles. They also discuss how to achieve both short- and long-term successes, how to upskill employees to work with AI and data, and how to embed data- and AI-driven insights into product development cycles from start to finish.

In this episode, host Sean Lang welcomes guest Geertrui Mieke De Ketelaere, an adjunct professor of ethical AI at Vlerick Business School and a strategic AI advisor at imec. In this episode, she discusses what problems AI solves best, how organizations should build bridges between technical teams and domain experts, and how engineers can play a more dynamic role in AI projects moving forward. 

We're excited to start Series 3 with an interview with Ford Digital Twin Lead Vijay Kempuraj. In this episode, Kempuraj and host Sean Lang discuss all aspects of digital twin technology, including how organizations can build an achievable strategy, how to demonstrate short- and long-term value, and where Ford anticipates digital twins will head in the coming decade.