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Experiencing Data with Brian T. O'Neill

Brian T. O'Neill from Designing for Analytics

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Experiencing Data with Brian T. O'Neill

Experiencing Data with Brian T. O'Neill

Brian T. O'Neill from Designing for Analytics

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0
Plays
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About Us

Make your data product or decision support app indispensable. Brian reveals the strategies and activities that product, data science and analytics leaders are using to deliver valuable experiences around data. From traditional analytics to ML and AI, Brian and his guests explore how extraordinary value can be created when human-centered design is applied to data science and analytics. Great for data scientists, analytics leaders, CDOs, CAOs, product managers, and designers.

Latest Episodes

032 - How and Why Talented Analytical Minds Leave People Scratching Their Head Around Data with Nancy Duarte

Nancy Duarte is a communication expert and the leader of the largest design firm in Silicon Valley, Duarte, Inc. She has more than 30 years of experience working with global companies and counts eight of the top ten Fortune 500 brands in her clientele. She is the author of six books, and her work as appeared in Fortune, Time Magazine, Forbes, Wired, Wall Street Journal, New York Times, Los Angeles Times, Cosmopolitan Magazine, and CNN. In this episode, Nancy and I discussed some of the reasons analytics and data experts fail to effectively communicate the insights and value around data. She drew from her key findings in her work as a communication expert that she details in her new book, Data Story, and the importance of communicating data through the natural structure of storytelling. In our chat, we covered: How empathy is tied to effective communication. Biases that cloud our own understanding of our communication skills How to communicate an enormous amount of data effectively a...

39 MIN1 w ago
Comments
032 - How and Why Talented Analytical Minds Leave People Scratching Their Head Around Data with Nancy Duarte

031 - How Design Helps Enable Repeatable Value on AI, ML, and Analytics Projects with Ganes Kesari

Ganes Kesari is the co-founder and head of analytics and AI labs at Gramener, a software company that helps organizations tell more effective stories with their data through robust visualizations. He’s also an advisor, public speaker, and author who talks about AI in plain English so that a general audience can understand it. Prior to founding Gramener, Ganes worked at companies like Cognizant, Birlasoft, and HCL Technologies serving in various management and analyst roles. Join Ganes and I as we talk about how design, as a core competency, has enabled Gramener’s analytics and machine learning work to produce better value for clients. We also touched on: Why Ganes believes the gap between the business and data analytics organizations is getting smaller How AI (and some other buzzwords) are encouraging more and more investments in understanding data Ganes’ opinions about the “analytics translator” role How companies might think they are unique for not using “traditional agile”...

41 MIN3 w ago
Comments
031 - How Design Helps Enable Repeatable Value on AI, ML, and Analytics Projects with Ganes Kesari

030 - Using AI to Recommend Personalized Medical Treatment Options with Joost Zeeuw of Pacmed

Joost Zeeuw is a data scientist and product owner at Pacmed, a data-driven healthcare and AI startup in Amsterdam that combines medical expertise and machine learning to create stronger patient outcomes and improve healthcare experiences. He’s also taught a number of different subjects—like physics, chemistry, and mathematics—at Lyceo, an online education service, and Luzac College in the Netherlands. Join Brian and Joost as they discuss the role of design and user experience within the context of providing personalized medical treatments using AI. Plus: The role data has in influencing doctors’ decisions—without making the decisions The questions Joost’s product team asks before designing any AI solution at Pacmed How people’s familiarity with iPhones and ease-of-use has influenced expectations around simplicity—and the challenges this poses when there is machine learning under the hood Why Brian thinks Pacmed’s abnormal approach to design is great—and what that approach ...

51 MINJAN 14
Comments
030 - Using AI to Recommend Personalized Medical Treatment Options with Joost Zeeuw of Pacmed

029 - Why Google Believes it’s Critical to Pair Designers with Your Data Scientists to Produce Human-Centered ML & AI Products with Di Dang

Di Dang is an emerging tech design advocate at Google and helped lead the creation of Google’s People + AI Guidebook. In her role, she works with product design teams, external partners, and end users to support the creation of emerging tech experiences. She also teaches a course on immersive technology at the School of Visual Concepts. Prior to these positions, Di worked as an emerging tech lead and senior UX designer at POP, a UX consultant at Kintsugi Creative Solutions, and a business development manager at AppLift. She earned a bachelor of arts degree in philosophy and religious studies from Stanford University. Join Brian and Di as they discuss the intersection of design and human-centered AI and: Why a data science leader should care about design and integrating designers during a machine-learning project, and the impacts when they do not What exactly Di does in her capacity as an emerging tech design advocate at Google and the definition of human-centered AI How design help...

45 MIN2019 DEC 31
Comments
029 - Why Google Believes it’s Critical to Pair Designers with Your Data Scientists to Produce Human-Centered ML & AI Products with Di Dang

028 - Cole Knaflic On Data Storytelling, DataViz, and Why Your Data May Not Be Inspiring Action

When it comes to telling stories with data, Cole Knaflic is ahead of the curve. In October 2010, she wrote a best-selling book called storytelling with data: a data visualization guide for business professionals. That book led to the creation of storytelling with data, an agency that helps businesses communicate more effectively using data, and she’s since followed-up with another best-seller: storytelling with data: let’s practice! Prior to her current role, Cole served as a people analytics manager at Google, was the owner and chief consultant at Insight Analytics, and held several positions at Washington Mutual, among other positions. In our chat, we covered: Why sharp communication skills are integral to telling stories with data The skills data people need to effectively communicate with data Who Cole thinks you should run your presentations by first, and the specific colleagues you should be sharing them with Why it’s important to practice presentations in informal settings...

50 MIN2019 DEC 17
Comments
028 - Cole Knaflic On Data Storytelling, DataViz, and Why Your Data May Not Be Inspiring Action

027 - Balancing Your Inner Data Science Nerd While Becoming a Trusted Business Advisor and Strategist with Angela Bassa of iRobot

Angela Bassa is the director of data science andhead of data science and machine learning at iRobot, a technology company focused on robotics (you might have clean floors thanks to a Roomba). Prior to joining iRobot, Angela wore several different hats, including working as a financial analyst at Morgan Stanley, the senior manager of big data analytics and platform engineering at EnerNOC, and even a scuba instructor in the U.S. Virgin Islands. Join Angela and I as we discuss the role data science plays in robotics and explore: Why Angela doesn’t believe in a division between technical and non-technical skill Why Angela came to iRobot and her mission What data breadcrumbs are and what you should know about them The skill Angela believes matters most when turning data science into a producer of decision support Why the last mile of the UX is often way longer than one mile The critical role expectation management plays in data science, how Angela handles delivering surprise findings to...

47 MIN2019 DEC 3
Comments
027 - Balancing Your Inner Data Science Nerd While Becoming a Trusted Business Advisor and Strategist with Angela Bassa of iRobot

026 - Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation

Tom Davenport has literally written the book on analytics. Actually, several of them, to be precise. Over the course of his career, Tom has established himself as the authority on analytics and how their role in the modern organization has evolved in recent years. Tom is a distinguished professor at Babson College, a research fellow at the MIT Initiative on the Digital Economy, and a senior advisor at Deloitte Analytics. The discussion was timely as Tom had just written an article about a financial services company that had trained its employees on human-centered design so that they could ensure any use of AI would be customer-driven and valuable. We discussed their journey and: Why on a scale of 1-10, the field of analytics has only gone from a one to about a two in ten years time Why so few analytics projects actually make it into production Examples of companies who are using design to turn data into useful applications of AI, decision support and product improvements for custome...

47 MIN2019 NOV 19
Comments
026 - Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation

025 - Treating Data Science at IDEO as a Discipline of Design with Dean Malmgren

Dean Malmgren cut his teeth as a chemical and biological engineer. In grad school, he studied complex systems and began telling stories about them through the lens of data algorithms. That led him to co-found Datascope Analytics, a data science consulting company which was purchased by IDEO, a global design firm. Today, Dean is an executive director at IDEO and helps teams use data to build delightful products and experiences. Join Dean and I as we explore the intersection of data science and design and discuss: Human-centered design and why it’s important to data science What it was like for a data science company to get ingested into a design firm and why it’s a perfect match Why data science isn’t always good at creating things that have never existed before Why teams need to prototype rapidly and why data scientists should hesitate to always use the latest tools What data scientists can learn from design team and vice-versa Why data scientists need to talk to end users early ...

-1 s2019 NOV 5
Comments
025 - Treating Data Science at IDEO as a Discipline of Design with Dean Malmgren

024 - How Empathy Can Reveal a 60%-Accurate Data Science Solution is a Solid Customer Win with David Stephenson, Ph.D.

David Stephenson, Ph.D., is the author of Big Data Demystified, a guide for executives that explores the transformative nature of big data and data analytics. He’s also a data strategy consultant and professor at the University of Amsterdam. In a previous life, David worked in various data science roles at companies like Adidas, Coolblue, and eBay. Join David and I as we discuss what makes data science projects succeed and explore: The non-technical issues that lead to ineffective data science and analytics projects The specific type of communication that is critical to the success of data science and analytics initiatives (and how working in isolation from your stakeholder or business sponsor creates risk)) The power of showing value early, starting small/lean, and one way David applies agile to data science projects The problems that emerge when data scientists only want to do “interesting data science” How design thinking can help data scientists and analytics practitioners ma...

-1 s2019 OCT 22
Comments
024 - How Empathy Can Reveal a 60%-Accurate Data Science Solution is a Solid Customer Win with David Stephenson, Ph.D.

023 - Balancing AI-Driven Automation with Human Intervention When Designing Complex Systems with Dr. Murray Cantor

Dr. Murray Cantor has a storied career that spans decades. Recently, he founded Aptage, a company that provides project risk management tools using Bayesian Estimation and machine learning. He’s also the chief scientist at Hail Sports, which focuses on applying precision medicine techniques to sports performance. In his spare time, he’s a consulting mathematician at Pattern Computer, a firm that engineers state-of-the-art pattern recognition solutions for industrial customers. Join Murray and I as we explore the cutting edge of AI and cover: Murray’s approach to automating processes that humans typically do, the role humans have in the design phase, and how he thinks about designing affordances for human intervention in automated systems Murray’s opinion on causal modeling (explainability/interpretability), the true stage we are in with XAI, and what’s next for causality in AI models Murray’s opinions about the 737 Max’s automated trim control system interface (or lack thereo...

-1 s2019 OCT 8
Comments
023 - Balancing AI-Driven Automation with Human Intervention When Designing Complex Systems with Dr. Murray Cantor

Latest Episodes

032 - How and Why Talented Analytical Minds Leave People Scratching Their Head Around Data with Nancy Duarte

Nancy Duarte is a communication expert and the leader of the largest design firm in Silicon Valley, Duarte, Inc. She has more than 30 years of experience working with global companies and counts eight of the top ten Fortune 500 brands in her clientele. She is the author of six books, and her work as appeared in Fortune, Time Magazine, Forbes, Wired, Wall Street Journal, New York Times, Los Angeles Times, Cosmopolitan Magazine, and CNN. In this episode, Nancy and I discussed some of the reasons analytics and data experts fail to effectively communicate the insights and value around data. She drew from her key findings in her work as a communication expert that she details in her new book, Data Story, and the importance of communicating data through the natural structure of storytelling. In our chat, we covered: How empathy is tied to effective communication. Biases that cloud our own understanding of our communication skills How to communicate an enormous amount of data effectively a...

39 MIN1 w ago
Comments
032 - How and Why Talented Analytical Minds Leave People Scratching Their Head Around Data with Nancy Duarte

031 - How Design Helps Enable Repeatable Value on AI, ML, and Analytics Projects with Ganes Kesari

Ganes Kesari is the co-founder and head of analytics and AI labs at Gramener, a software company that helps organizations tell more effective stories with their data through robust visualizations. He’s also an advisor, public speaker, and author who talks about AI in plain English so that a general audience can understand it. Prior to founding Gramener, Ganes worked at companies like Cognizant, Birlasoft, and HCL Technologies serving in various management and analyst roles. Join Ganes and I as we talk about how design, as a core competency, has enabled Gramener’s analytics and machine learning work to produce better value for clients. We also touched on: Why Ganes believes the gap between the business and data analytics organizations is getting smaller How AI (and some other buzzwords) are encouraging more and more investments in understanding data Ganes’ opinions about the “analytics translator” role How companies might think they are unique for not using “traditional agile”...

41 MIN3 w ago
Comments
031 - How Design Helps Enable Repeatable Value on AI, ML, and Analytics Projects with Ganes Kesari

030 - Using AI to Recommend Personalized Medical Treatment Options with Joost Zeeuw of Pacmed

Joost Zeeuw is a data scientist and product owner at Pacmed, a data-driven healthcare and AI startup in Amsterdam that combines medical expertise and machine learning to create stronger patient outcomes and improve healthcare experiences. He’s also taught a number of different subjects—like physics, chemistry, and mathematics—at Lyceo, an online education service, and Luzac College in the Netherlands. Join Brian and Joost as they discuss the role of design and user experience within the context of providing personalized medical treatments using AI. Plus: The role data has in influencing doctors’ decisions—without making the decisions The questions Joost’s product team asks before designing any AI solution at Pacmed How people’s familiarity with iPhones and ease-of-use has influenced expectations around simplicity—and the challenges this poses when there is machine learning under the hood Why Brian thinks Pacmed’s abnormal approach to design is great—and what that approach ...

51 MINJAN 14
Comments
030 - Using AI to Recommend Personalized Medical Treatment Options with Joost Zeeuw of Pacmed

029 - Why Google Believes it’s Critical to Pair Designers with Your Data Scientists to Produce Human-Centered ML & AI Products with Di Dang

Di Dang is an emerging tech design advocate at Google and helped lead the creation of Google’s People + AI Guidebook. In her role, she works with product design teams, external partners, and end users to support the creation of emerging tech experiences. She also teaches a course on immersive technology at the School of Visual Concepts. Prior to these positions, Di worked as an emerging tech lead and senior UX designer at POP, a UX consultant at Kintsugi Creative Solutions, and a business development manager at AppLift. She earned a bachelor of arts degree in philosophy and religious studies from Stanford University. Join Brian and Di as they discuss the intersection of design and human-centered AI and: Why a data science leader should care about design and integrating designers during a machine-learning project, and the impacts when they do not What exactly Di does in her capacity as an emerging tech design advocate at Google and the definition of human-centered AI How design help...

45 MIN2019 DEC 31
Comments
029 - Why Google Believes it’s Critical to Pair Designers with Your Data Scientists to Produce Human-Centered ML & AI Products with Di Dang

028 - Cole Knaflic On Data Storytelling, DataViz, and Why Your Data May Not Be Inspiring Action

When it comes to telling stories with data, Cole Knaflic is ahead of the curve. In October 2010, she wrote a best-selling book called storytelling with data: a data visualization guide for business professionals. That book led to the creation of storytelling with data, an agency that helps businesses communicate more effectively using data, and she’s since followed-up with another best-seller: storytelling with data: let’s practice! Prior to her current role, Cole served as a people analytics manager at Google, was the owner and chief consultant at Insight Analytics, and held several positions at Washington Mutual, among other positions. In our chat, we covered: Why sharp communication skills are integral to telling stories with data The skills data people need to effectively communicate with data Who Cole thinks you should run your presentations by first, and the specific colleagues you should be sharing them with Why it’s important to practice presentations in informal settings...

50 MIN2019 DEC 17
Comments
028 - Cole Knaflic On Data Storytelling, DataViz, and Why Your Data May Not Be Inspiring Action

027 - Balancing Your Inner Data Science Nerd While Becoming a Trusted Business Advisor and Strategist with Angela Bassa of iRobot

Angela Bassa is the director of data science andhead of data science and machine learning at iRobot, a technology company focused on robotics (you might have clean floors thanks to a Roomba). Prior to joining iRobot, Angela wore several different hats, including working as a financial analyst at Morgan Stanley, the senior manager of big data analytics and platform engineering at EnerNOC, and even a scuba instructor in the U.S. Virgin Islands. Join Angela and I as we discuss the role data science plays in robotics and explore: Why Angela doesn’t believe in a division between technical and non-technical skill Why Angela came to iRobot and her mission What data breadcrumbs are and what you should know about them The skill Angela believes matters most when turning data science into a producer of decision support Why the last mile of the UX is often way longer than one mile The critical role expectation management plays in data science, how Angela handles delivering surprise findings to...

47 MIN2019 DEC 3
Comments
027 - Balancing Your Inner Data Science Nerd While Becoming a Trusted Business Advisor and Strategist with Angela Bassa of iRobot

026 - Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation

Tom Davenport has literally written the book on analytics. Actually, several of them, to be precise. Over the course of his career, Tom has established himself as the authority on analytics and how their role in the modern organization has evolved in recent years. Tom is a distinguished professor at Babson College, a research fellow at the MIT Initiative on the Digital Economy, and a senior advisor at Deloitte Analytics. The discussion was timely as Tom had just written an article about a financial services company that had trained its employees on human-centered design so that they could ensure any use of AI would be customer-driven and valuable. We discussed their journey and: Why on a scale of 1-10, the field of analytics has only gone from a one to about a two in ten years time Why so few analytics projects actually make it into production Examples of companies who are using design to turn data into useful applications of AI, decision support and product improvements for custome...

47 MIN2019 NOV 19
Comments
026 - Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation

025 - Treating Data Science at IDEO as a Discipline of Design with Dean Malmgren

Dean Malmgren cut his teeth as a chemical and biological engineer. In grad school, he studied complex systems and began telling stories about them through the lens of data algorithms. That led him to co-found Datascope Analytics, a data science consulting company which was purchased by IDEO, a global design firm. Today, Dean is an executive director at IDEO and helps teams use data to build delightful products and experiences. Join Dean and I as we explore the intersection of data science and design and discuss: Human-centered design and why it’s important to data science What it was like for a data science company to get ingested into a design firm and why it’s a perfect match Why data science isn’t always good at creating things that have never existed before Why teams need to prototype rapidly and why data scientists should hesitate to always use the latest tools What data scientists can learn from design team and vice-versa Why data scientists need to talk to end users early ...

-1 s2019 NOV 5
Comments
025 - Treating Data Science at IDEO as a Discipline of Design with Dean Malmgren

024 - How Empathy Can Reveal a 60%-Accurate Data Science Solution is a Solid Customer Win with David Stephenson, Ph.D.

David Stephenson, Ph.D., is the author of Big Data Demystified, a guide for executives that explores the transformative nature of big data and data analytics. He’s also a data strategy consultant and professor at the University of Amsterdam. In a previous life, David worked in various data science roles at companies like Adidas, Coolblue, and eBay. Join David and I as we discuss what makes data science projects succeed and explore: The non-technical issues that lead to ineffective data science and analytics projects The specific type of communication that is critical to the success of data science and analytics initiatives (and how working in isolation from your stakeholder or business sponsor creates risk)) The power of showing value early, starting small/lean, and one way David applies agile to data science projects The problems that emerge when data scientists only want to do “interesting data science” How design thinking can help data scientists and analytics practitioners ma...

-1 s2019 OCT 22
Comments
024 - How Empathy Can Reveal a 60%-Accurate Data Science Solution is a Solid Customer Win with David Stephenson, Ph.D.

023 - Balancing AI-Driven Automation with Human Intervention When Designing Complex Systems with Dr. Murray Cantor

Dr. Murray Cantor has a storied career that spans decades. Recently, he founded Aptage, a company that provides project risk management tools using Bayesian Estimation and machine learning. He’s also the chief scientist at Hail Sports, which focuses on applying precision medicine techniques to sports performance. In his spare time, he’s a consulting mathematician at Pattern Computer, a firm that engineers state-of-the-art pattern recognition solutions for industrial customers. Join Murray and I as we explore the cutting edge of AI and cover: Murray’s approach to automating processes that humans typically do, the role humans have in the design phase, and how he thinks about designing affordances for human intervention in automated systems Murray’s opinion on causal modeling (explainability/interpretability), the true stage we are in with XAI, and what’s next for causality in AI models Murray’s opinions about the 737 Max’s automated trim control system interface (or lack thereo...

-1 s2019 OCT 8
Comments
023 - Balancing AI-Driven Automation with Human Intervention When Designing Complex Systems with Dr. Murray Cantor
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