Dr. Sebastian Wernicke is a data scientist, strategist, and author of Data Inspired. With a background spanning bioinformatics, strategy consulting, and data science, he has spent much of his career helping organizations turn data into business value.

His work explores a fundamental question: why do some organizations succeed with data while others struggle despite investing heavily in technology? In Data Inspired, Sebastian argues that the biggest barriers to unlocking the potential of data are often not technological, but organizational and cultural.

In this episode, Sebastian and Subbu explore why being data-driven is no longer enough, how organizational culture determines whether data leads to better decisions, and what leaders must understand about the opportunities and limitations of AI.

We explore:

• Sebastian's journey from bioinformatics to strategy consulting and data science
• Why the hardest data problems are often organizational rather than technological
• The difference between data-frustrated, data-driven, and data-inspired organizations
• What a world-class violinist performing in a subway station teaches us about data and context
• Why data is not as objective as we think, and how human interpretation shapes decisions
• Why organizations risk becoming “data-decorated” rather than genuinely data-driven
• Whether evidence can challenge the opinion of the most powerful person in the room
• How data literacy, digital mindset, and culture work together to enable transformation
• What the world's “most wanted song” teaches us about the dangers of managing purely through metrics
• Why Google's famous experiment with 41 shades of blue reveals both the power and limitations of data-driven decision-making
• Why AI's greatest strength—filling in the gaps—can also produce mediocre, standardized results
• What AI can and cannot do when it comes to creativity, judgment, and original thinking
• Why the rise of agentic AI makes human intent, oversight, and judgment even more important

Biju Dominic is Chief Evangelist at Fractal Analytics and co-founder of FinalMile Consulting. For more than three decades, he has pursued a central question: what truly shapes human behaviour? After spending seventeen years in advertising, Biju began combining cognitive neuroscience, behavioural economics, and design to develop new approaches to behaviour change. His new book, MicroStimuli: The New Science of Persuasion, challenges the belief that awareness naturally leads to action—and explores how precisely designed cues, delivered at the right moment, can influence the choices people make.

In this episode, Biju and Subbu explore what really drives human behaviour, why rational thinking may play a smaller role than we imagine, and how microstimuli can reshape advertising, organizational culture, and the development of more human-centred AI.

We explore:

• Why awareness alone rarely changes behaviour
• The incident that led Biju to question rational decision-making
• How neuroscience offers a new lens for understanding human behaviour
• Why traditional advertising and consumer research may no longer be fit for purpose
• Why the brain prefers “exformation”—and what communicating in milliseconds requires
• How emotions and context shape decisions more than we realize
• What microstimuli are and why the 30-second advertisement may be outdated
• How workplace cues and everyday micro-decisions shape organizational culture
• Why culture change requires more than training programmes and PowerPoint presentations
• Why the future of AI must be human-led—and ultimately human-brain-led

Stephen Brozovich is an Executive in Residence—People and Culture—at Amazon Web Services. He joined Amazon in 1999, long before it became the organization we know today, and has spent more than two decades working across technology, product development, talent management, leadership development, and organizational culture. Today, as part of AWS’s Executives in Residence team, Stephen helps senior leaders navigate large-scale transformation—work that, as he points out, often has less to do with technology than with human and organizational patterns.

In this episode, Stephen and Subbu explore how Amazon translates leadership principles into everyday decisions—and what organizations must rethink as agentic AI transforms talent, team structures, governance, and the very nature of work.

We explore:

• Stephen’s unconventional journey from studying music to web development, technology leadership, talent management, and organizational culture
• Why learning and pattern recognition have been the connecting threads across his career
• How mental models, behaviours, and artifacts come together to shape organizational culture
• Why what leaders do matters far more than the values written on a page
• How Amazon’s leadership principles were developed—and how they enable decisions to be made across a rapidly growing organization
• How principles such as “Dive Deep” and “Bias for Action” create productive tension and a common language for constructive debate
• How customer obsession and Amazon’s Working Backwards process turn customer needs into new products and innovations
• Why Amazon reads written narratives during meetings rather than sending them as pre-reads—and how this creates shared context and equalizes voices in the room
• How ownership is reinforced through decision-making authority, compensation, and equity
• What “Strive to be Earth’s Best Employer” means—and why the best leaders are also teachers
• Why replacing junior employees with AI may create a serious judgment and leadership gap six to ten years from now
• How organizations can experiment with new workforce shapes while continuing to build their next generation of senior talent
• Why traditional, siloed operating models are giving way to multidisciplinary, outcome-based teams supported by specialized AI agents
• What Singapore’s AI governance framework teaches us about access, human accountability, technical controls, and transparency
• Why greater autonomy for AI agents requires clearer guardrails—and why “the AI made the decision” can never be an acceptable answer
• Why Stephen remains optimistic that AI will expand what domain experts can build while making distinctly human capabilities even more important

Juliet Schor is an economist, sociologist, and Professor of Sociology at Boston College. Over a career spanning more than four decades, she has studied working time, consumer culture, sustainability, and the changing nature of work. She is the author of several influential books, including Four Days a Week. As a lead researcher on global four-day-week trials involving hundreds of companies across 15 countries, Juliet has helped build one of the most significant bodies of evidence on shorter working hours.

In this episode, Juliet joins Subbu to explore what happened when organizations moved from a 40-hour, five-day week to a 32-hour, four-day week—with no reduction in pay—and what the findings reveal about productivity, burnout, wellbeing, and the future of work.

We explore:

• Juliet’s journey from labour economics to studying consumption, sustainability, and the four-day week
• Why the pandemic became the inflection point that encouraged employers to experiment with shorter working hours
• What the history of work teaches us—and why industrialization initially lengthened rather than shortened the working day
• Why technological progress alone does not determine whether people work fewer hours
• How employer preferences and the “elastic hours” of salaried employees contribute to overwork
• Why a four-day week is not about squeezing five days of work into four, but about redesigning meetings, workflows, and distractions
• What the global trials revealed about burnout, mental and physical health, sleep, anxiety, work–life balance, and productivity
• Why nearly 70% of participating employees reported lower burnout—and why better-rested employees often produced better-quality work
• What employees actually did with their additional day off—and why they generally did not use it to take on second jobs
• Why only around 10% of participating organizations reverted—and what leadership changes, staffing constraints, and implementation choices teach us about failure
• How AI could help organizations sustain a four-day week—or, depending on the choices employers make, lead to even longer working hours
• Why Juliet remains optimistic that the four-day week is moving from an experiment towards a broader global movement

S. “Venky” Venkatesh is a seasoned business and HR leader, former Group CHRO of RPG Enterprises, board member, and advisor to CXOs. Over a career spanning more several decades, he has worked across professionally managed multinational companies and some of India’s leading promoter- and family-led organizations, including RPG Group, Arvind Lifestyle Brands, and Vedanta. Today, through his advisory work, he helps senior leaders navigate complex career and organizational transitions.

In the 50th episode of Culture Matters, Venky joins Subbu to explore what changes when leaders move from multinational corporations into founder- and family-led businesses—and what it takes to succeed in both worlds.

We explore:

• Venky’s journey from multinational corporations to promoter-led businesses—and what drew him to make the shift
• Why working directly with an entrepreneur demands a different language, mindset, and leadership style
• What MNC leaders must unlearn when they enter a founder- or family-led organization
• Why leaders should resist repeatedly referring to the practices and successes of their previous companies
• The importance of understanding the informal influencers and long-standing relationships surrounding a founder
• Why business knowledge, commercial thinking, speed, and return on investment matter deeply in promoter-led organizations
• The CHRO’s role as a conscience keeper—and as a buffer protecting the organization’s cultural fabric
• What CXOs and independent directors must understand when serving on the boards of family-owned companies
• Why young professionals should choose good organizations rather than thinking only in terms of MNCs, startups, or family businesses
• Venky’s career playbook: learn culture, governance, and ethics in a strong MNC—and then apply them in a founder-led enterprise

Saurabh Nigam is a seasoned HR leader, entrepreneur, and author of People Powered Startups. Over the last two decades, he has helped build and scale people functions across some of India's most prominent startups and high-growth organizations, including Snapdeal and Beroe. Today, through his advisory work, he partners with founders and leadership teams to build organizations where people and business can grow together.

In this episode, Saurabh joins Subbu to explore what it really takes to build people-powered organizations, why culture is far more than perks and policies, and how HR can become a genuine strategic partner in scaling businesses.

We explore:

• Saurabh's journey from software engineer to HR leader, and the mentors who shaped his thinking
• What working alongside founders at high-growth startups taught him about ambition, experimentation, and building at speed
• Why startups don't need more HR processes—they need better organizational design
• The strategic role of HR in helping businesses scale sustainably rather than simply adding more people
• Why culture is best understood as "the way we work together" rather than office perks or employee benefits
• How leaders can intentionally shape culture by defining what's okay—and what's not okay—as organizations grow
• Why purpose is the foundation of every successful team, and how founders can rally people around a shared mission
• How HR leaders can demonstrate business impact by connecting people initiatives to customer outcomes, innovation, and business performance
• Lessons from People Powered Startups on building organizations where great ideas are matched by great people practices
• Why India's founders are among the country's greatest enablers—and what it takes to build companies that last

Dr. Marcus Ranney is a physician, entrepreneur, explorer, and founder of Human Edge, a longevity science company focused on helping individuals and organizations improve health, energy, and performance. He is the author of At the Human Edge and Good Stress, Bad Stress, and has led scientific expeditions to some of the world's most extreme environments, including Mount Everest.

In this episode, Marcus joins Subbu to explore what it really takes to live longer, healthier, and more energetic lives, and why many of the biggest breakthroughs in longevity have less to do with hacks and more to do with everyday habits.

We explore:

• How Marcus's Mount Everest expedition shaped his views on leadership, risk, and resilience
• Why the journey matters more than the summit, both in the mountains and in life
• The fascinating role of mitochondria in energy, performance, and healthy aging
• What longevity science actually tells us—and the myths we should stop believing
• Why exercise remains the single most powerful intervention for living a longer, healthier life
• The difference between good stress and bad stress, and why stress isn't always the enemy
• Practical ways to build healthy stress into everyday life through movement, recovery, and lifestyle choices
• How Human Edge helps individuals and organizations improve health through a data-driven, lifestyle-first approach
• Why organizations are beginning to see employee energy and health as strategic business priorities
• Simple daily habits that can improve health without making life more complicated

Rebecca Hinds is Head of the Work AI Institute at Glean, a researcher of organizational behavior and collaboration, and the author of the bestselling book Your Best Meeting Ever. Over the course of her career, Rebecca has studied how people work together, how teams make decisions, and how technology shapes collaboration.

In this episode, Rebecca joins Subbu to discuss why meetings have become one of the biggest sources of frustration in modern organizations and what leaders can do about it.

We explore:

• Why a World War II-era sabotage manual bears an uncomfortable resemblance to many modern meetings
• The concept of "meeting debt" and how calendars become overloaded over time
• Why equal airtime is one of the strongest predictors of team performance
• How power, status, and hierarchy influence who speaks and who stays silent
• Why fewer meeting participants often lead to better outcomes
• The hidden costs of pre-meetings and meeting overload
• The debate around cameras on versus cameras off in virtual meetings
• What research tells us about Zoom fatigue and the unequal burden it places on different groups
• How AI can improve meetings, and the ways in which it can inadvertently make them worse
• Why successful AI adoption is ultimately a human and organizational challenge, not just a technological one