Find A Speaker or Advisor
Share this speaker on:
AI, Robotics & Automation / Digital Transformation, Information Technology & Data Analytics / Generative AI / Future of Work / Strategy / Leadership / Company Culture / Asia: Business, Geopolitics & Society / TED Speakers / Women Speakers & Advisors / Moderators / New To Stern


  • Tricia Wang: The human insights missing from big data
    Tricia Wang: The human insights missing from big data
  • Webbdagarna Stockholm 2018 – Tricia Wang: What big data doesn’t tell you: Doing vs being digital
    Webbdagarna Stockholm 2018 – Tricia Wang: What big data doesn’t tell you: Doing vs being digital
  • Tricia Wang: Global Tech Ethnography
    Tricia Wang: Global Tech Ethnography
  • Dancing with Handcuffs: The Geography of Trust
    Dancing with Handcuffs: The Geography of Trust
  • Tricia Wang - AI and Big Data isn't the Answer
    Tricia Wang - AI and Big Data isn't the Answer
  • The Cost of Missing Something | Tricia Wang | TEDxCambridge
    The Cost of Missing Something | Tricia Wang | TEDxCambridge
  • DON'T TRUST THE TRUTH! | The Conference 2016
    DON'T TRUST THE TRUTH! | The Conference 2016
  • R&D | Tricia Wang | Salon 16 (3 of 7)
    R&D | Tricia Wang | Salon 16 (3 of 7)

Learn More About Tricia Wang

Tricia Wang, Ph.D. (pronounced “Wong”), a social scientist, consultant, and thought leader, is on a relentless quest to ensure technology serves humanity, fostering social impact at the intersection of data and humanity. 

Renowned for helping companies unearth pivotal customer behavior insights to unlock growth, Wang co-founded Sudden Compass and has advised industry giants like Google, Spotify, and P&G. Her insights have been featured in publications like Quartz, Buzzfeed, Techcrunch, The Atlantic, Al Jazeera, Slate, Wired, The Guardian, and Fast Company.

In a world where data is the cornerstone of innovation, Wang has long recognized its potential, well before the recent rush of consumer-facing AI products. Her unique fusion of ethnography and data science offers an invaluable perspective on technology, design, and human experience. Wang has been instrumental in launching tech labs with clients, including a recent collaboration with The World Economic Forum.

As an acclaimed speaker, her enlightening keynotes and her TED Talk delve into AI, data, and their societal, economic, and personal impacts. Wang’s concept of “thick data” advocates for deep human understanding in AI and emerging technologies, transcending conventional data analysis.

Her ethnographic fieldwork spans from China to South America and North America, offering unique insights into the adoption of social media under authoritarian regimes and advocating for consumer-centric approaches in the private sector.

Wang’s diverse career began in the mid-1990s with mobile phone services, evolving to developing tech centers in low-income NYC neighborhoods and global business research. Her roles have ranged from filmmaker at NASA for Sally Ride, to director at New York’s first youth television network, and an HIV/AIDS education advocate. She is a Fulbright Fellow, National Science Foundation Fellow, and the first Western fellow at The China Internet Network Information Center in Beijing, China.

During the COVID-19 pandemic, Wang co-founded Last Mile, an underground supply chain that distributed over 1 million masks across the USA, gaining recognition in The New Yorker in a feature story

Serving as an advisor to Dangerous Ventures, ReSeed.Farm, and SKU, Wang holds affiliations with Harvard University’s Berkman Center for Internet & Society, US Japan Leadership Program, and  Data & Society. She is a member of the World Economic Forum Global Futures Data Council and Climate Coalition and has served as a fellow at the Geo Tech Atlantic Council. 

Currently penning a book on how humans can be more human in the age of AI, Wang is investigating how the emergence of AI is leading to a shift in our identities from users to what she calls “shapers,” people who have a new set of skills to cooperate with AI by being more human.  

Tricia Wang is available to advise your organization via virtual and in-person consulting meetings, interactive workshops and customized keynotes through the exclusive representation of Stern Speakers & Advisors, a division of Stern Strategy Group®.

Tricia Wang was last modified: July 12th, 2024 by Justin Louis

Read More Read Less

Understanding AI – Where it Came From, Where it’s Going and How to Leverage it Now

With all the focus on artificial intelligence right now, it’s understandable if some believe AI is brand new technology. Of course, it isn’t. So how can leaders understand where AI systems have come from to take advantage of the new ways it’s shifting how we approach business and modern skill sets? In this eye-opening presentation, technology and AI expert Tricia Wang, Ph.D., explains that today’s advanced systems are simply the next evolution of the big data systems that have been building up for decades, and the organizations that thrive will be those that understand how to apply it. Neither a hype-person nor a doomsayer, Wang takes a level-headed approach to AI that empowers leaders and team members to not only coexist with the latest systems, but to thrive. Audiences will leave with strategies for bringing a strong sense of self to treating AI responsibly and approaching it proactively, allowing them to strategically leverage this evolving technology to improve decision-making, efficiency, and competitiveness.

The CARE Framework for Becoming an AI Power User

As it becomes increasingly more important for organizations to adopt artificial intelligence tools for their organization and be able to truly apply and use those tools in powerfully strategic ways, how can leaders and workers alike gain the skills to become power users? In this revealing presentation, technology and AI expert Tricia Wang, Ph.D., outlines the four skills of her “CARE” framework – Coachability, Adaptive intelligence, Responsibility, and Extension of self – all of which reflect the mindsets and values for optimally working with AI systems. Audiences will learn the key steps needed to allow individuals and teams to use AI as a true creative collaborator. Understanding the practices necessary to activate CARE skills, leaders will be able to turn passive users of AI into active shapers of true AI-human collaboration.

Coach Your Company’s AI to Extract Optimal Value

With many organizations now using artificial intelligence tools, how can leaders ensure they’re extracting the greatest value from advanced AI systems? According to technology and AI expert Tricia Wang, Ph.D., it’s vital to understand how to coach these systems to get the best results. In this enlightening presentation, she dispels the myth that one needs to have specialized technical expertise to get the most out of AI. If anything, she says humans with deep expertise will be valued more in this new era. But, she explains, it is important to be AI-literate. By teaching leaders how to create a data-informed culture, Wang gives audiences best practices for learning how to coach AI, evaluate the data AI presents and leverage it in responsible, customer-centric ways. By doing so, organizations will be empowered to advance beyond simply accepting answers from AI to having an AI-literate workforce able to tease the most valuable, applicable data from their systems.

Get Your Organization to Data 3.0

Over the last few decades, data has become the backbone of almost every organization. Now loaded with vast amounts of data, how can leaders combine it all with the latest technology to create a purpose-built, insight-driven business? In this fascinating presentation, technology and AI expert Tricia Wang, Ph.D., illustrates the decades-long data timeline, starting the beginnings of building with data – “Data 1.0” – to its widespread use throughout all functions of an organization – “Data 2.0” – to where we are today, on the cusp of “Data 3.0” – highly customized AI tools. Audiences will learn how this new era allows companies to effectively and efficiently leverage the massive amounts of data already within an organization. Organizations that are well set up for Data 3.0 are the ones who are insight-driven, not just data-driven, where teams are empowered to combine AI tools with human intelligence to generate game-changing insights for businesses. Leaders will leave with a blueprint for creating business-specific AI training models, allowing their organization to move from one that’s data-driven to a fine-tuned, insight-driven company.

Build an AI-Ready Workforce of Shapers

As artificial intelligence systems become more powerful, how can organizations make sure their employees are up to speed on how to produce the most useful output from AI tools? According to technology and AI expert Tricia Wang, Ph.D., an AI-ready workforce is vital to ensuring a company will be competitive now and into the future. In this timely presentation, she explains the difference between passive users of technology and what she calls “shapers,” those who possess skills to actively shape technology to fit their company’s strategic goals. Audiences will gain immediately applicable strategies for hiring “shapers” from outside their organization as well as upskilling and nurturing those already in the company. Leaders will be able to build teams at all levels of their business who can truly work with AI tools to boost competitiveness, not just alongside them.

Zoom in on Thick Data to Gain Powerful Insights

Nearly all organizations now possess a wealth of data. As some companies became preoccupied with “big data,” did they trade quantity for quality? In this paradigm-shifting presentation, technology expert Tricia Wang, Ph.D., reveals why the 30,000-foot view that big data provides needs to be integrated with the specialized insights of “thick data.” With many teams having to wade through vast amounts of generalized numbers, oftentimes becoming overwhelmed, she shows that truly understanding an organization’s customers can’t be achieved by simply throwing more quantitative data at the problem. As Wang explains, “what is measurable isn’t the same as what is valuable.” Audiences will learn the benefit of foregoing quantity for quality, empowering their organization to draw truly meaningful, actionable insights from valuing highly focused thick data.