In the latest episode of The Data Malarkey Podcast, host Sam Knowles converses with Mark Montgomery, Vice President and Head of Global Insights at Novartis. With over three years in this role, Montgomery brings a wealth of experience from his tenure at pharmaceutical giants such as GSK and AstraZeneca, as well as a decade in creative agencies focusing on content strategy and brand management. His academic background includes a bachelor’s degree in marketing and an MBA in organisational leadership from Southern New Hampshire University, complemented by recent studies in artificial intelligence and behavioural economics at esteemed institutions like Yale School of Management and Chicago Booth School of Business.
Defining insight and its significance
Montgomery offers a nuanced definition of insight as a “meaningful, intuitive understanding of a person or thing that compels action or brings about change”. He emphasises that true insight addresses the fundamental questions: “What?”, “Why?”, and “What to do?”. To transition from data to actionable insight, he advocates for methodologies such as Root Cause Analysis, notably the “Five Whys,” and Design Thinking. These tools facilitate a deeper understanding of underlying issues, enabling teams to develop effective solutions.
Insight as a collaborative endeavour
Throughout the discussion, Montgomery underscores that generating valuable insights is inherently a collaborative process. He likens it to a “team sport,” drawing parallels to rugby – a game that accommodates diverse roles regardless of an individual’s physical attributes. This analogy highlights the importance of assembling cross-functional teams where each member contributes unique expertise. Central to this collaborative approach is adopting a beginner’s mind, which involves setting aside preconceived notions and biases to fully engage with new information and perspectives.
The role of artificial intelligence in insights
Addressing the integration of artificial intelligence in the field of insights, Montgomery expresses enthusiasm about its potential. He points out the paradox that human cognition, rather than technological limitations, often constrains problem-solving capabilities. This observation suggests that while AI can process vast amounts of data rapidly, the formulation of pertinent questions and the organisation of data in a meaningful way remain human responsibilities. Montgomery envisions a future where AI accelerates scientific progress, potentially doubling advancements every seven years, thereby paving the way for personalised medicine and more informed decision-making.
Fostering a culture of continuous learning
Montgomery’s career trajectory reflects a commitment to lifelong learning. Beyond his formal education, he has pursued qualifications in emerging fields and has shared his knowledge as a guest lecturer at the Wharton School of the University of Pennsylvania for the past decade. This dedication to continuous education not only enhances personal growth but also equips professionals to navigate and lead in an ever-evolving landscape.
This episode provides valuable insights into the collaborative nature of deriving actionable insights and the transformative potential of integrating human expertise with artificial intelligence. Montgomery’s perspectives encourage professionals to embrace teamwork, maintain an open-minded approach, and commit to ongoing learning to effectively address complex challenges in their respective fields.
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