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PODCAST

Experiencing Data w/ Brian T. O’Neill

Brian T. O’Neill from Designing for Analytics

Does the value of your insights, analytics, or automated intelligence product sometimes feel invisible to buyers and users? Does your product have impressive analytics and AI technology, but user adoption and sales still are not where you want them to be? While it has never been easier to build data-driven products, why does it still seem so hard to build indispensable data products that users can"t live without—and will gladly pay for? I’m Brian T. O’Neill, and on Experiencing Data — a Listen Notes

technology management

All Episodes

29:54

051 - Methods for Designing Ethical, Human-Centered...

Experiencing Data w/ Brian T. O’Neill ·

2020/11/03

Chenda Bunkasem is head of machine learning at Undock, where she is focusing on using quantitative methods to influence ethical design. In this episode of Experiencing Data, Chenda and I explore her actual methods to designing ethical AI solutions as well as how she works with UX and product teams on ML solutions. We covered: How data teams can actually design ethical ML models, after understanding if ML is the right approach to begin with How Chenda aligns her data science work with the desired

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36:46

050 - Ways to Practice Creativity and Foster...

Experiencing Data w/ Brian T. O’Neill ·

2020/10/20

50 episodes! I can’t believe it. Since it’s somewhat of a milestone for the show, I decided to do another solo round of Experiencing Data, following the positive feedback that I’ve gotten from the last few episodes. Today, I want to help you think about ways to practice creativity when you and your organization are living in an analytical world, creating analytics for a living, and thinking logically and rationally. Why? Because creativity is what leads to innovation, and the sciences says a lot of

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40:50

049 - CxO & Digital Transformation Focus: (10)...

Experiencing Data w/ Brian T. O’Neill ·

2020/10/06

Join the Free Webinar Related to this Episode I'm taking questions and going into depth about how to address the challenges in this episode of Experiencing Data on Oct 9, 2020. 30 Mins + Q/A time. Replay will also be available. Register Now Welcome back for another solo episode of Experiencing Data. Today, I am primarily focusing on addressing the non-digital natives out there who are trying to use AI/ML in innovative ways, whether through custom software applications and data products, or as a

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37:57

048 - Good vs. Great: (10) Things that Distinguish...

Experiencing Data w/ Brian T. O’Neill ·

2020/09/22

Today I’m going solo on Experiencing Data! Over the years, I have worked with a lot of leaders of data-driven software initiatives with all sorts of titles. Today, I decided to focus the podcast episode on what I think makes the top product management and digital/software leaders stand out, particularly in the space of enterprise software, analytics applications, and decision support tools. This episode is for anyone leading a software application or product initiative that has to produce real

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42:53

047 - How Yelp Integrates Data Science, Engineering,...

Experiencing Data w/ Brian T. O’Neill ·

2020/09/08

In part one of an excellent series on AI product management, LinkedIn Research Scientist Peter Skomoroch and O’Reilly VP of Content Strategy Mike Loukides explained the importance of aligning AI products with your business plans and strategies. In other words, they have to deliver value, and they have to be delivered on time. Unfortunately, this is much easier said than done. I was curious to learn more about what goes into the complex AI product development process, and so for answers I turned to

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51:18

046 - How Steelcase’s Data Science, UX, & Product...

Experiencing Data w/ Brian T. O’Neill ·

2020/08/25

When you think of Steelcase, their office furniture probably comes to mind. However, Steelcase is much more than just a manufacturer of office equipment. They enable their customers (workplace/workspace designers) to help those designers’ clients create useful, effective, workplaces and offices that are also safe and compliant. Jorge Lozano is a data science manager at Steelcase and recently participated as a practitioner and guest on an IIA webinar I gave about product design and management being

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44:25

045 - Healthcare Analytics…or Actionable Decision...

Experiencing Data w/ Brian T. O’Neill ·

2020/08/11

Healthcare professionals need access to decision support tools that deliver the right information, at the right time. In a busy healthcare facility, where countless decisions are made on a daily basis, it is crucial that any analytical tools provided actually yield useful decision support to the target customer. In this episode, I talked to Karl Hightower from Novant Health about how he and his team define “quality” when it comes to data products, and what they do to meet that definition in their

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50:47

044 - The Roles of Product and Design when “Competing...

Experiencing Data w/ Brian T. O’Neill ·

2020/07/28

If there’s one thing that strikes fear into the heart of every business executive, it’s having your company become the next Blockbuster or Neiman Marcus — that is, ignoring change, and getting wiped out by digital competitors. In this episode, I dived into the changing business landscape with Karim Lakhani who is a Professor at Harvard Business School and co-author of the new book Competing in the Age of AI: When Algorithms and Networks Run the World, which he wrote with his friend and colleague at

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49:36

043 - What a Product Management Mindset Can do for...

Experiencing Data w/ Brian T. O’Neill ·

2020/07/14

I am a firm believer that one of the reasons that data science and analytics has a high failure rate is a lack of product management and design. To me, product is about a mindset just as much as a job title, and I am repeatedly hearing how more and more voices in the data community are agreeing with me on this (Gartner CDO v4, International Inst. for Analytics, several O’Reilly authors, Karim Lakhani’s new book on AI, and others). This is even more true as more companies begin to leverage AI. So

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39:12

042 - Why Machine Learning and Analytics Alone Can’t...

Experiencing Data w/ Brian T. O’Neill ·

2020/06/30

“What happened in Minneapolis and Louisville and Chicago and countlessother cities across the United States is unconscionable (and to be clear, racist). But what makes me the maddest is how easy this problem is to solve, just by the police deciding it’s a thing they want to solve.” - Allison Weil on Medium Before Allison Weil became an investor and Senior Associate at Hyde Park Ventures, she was a co-founder at Flag Analytics, an early intervention system for police departments designed to help

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44:05

041 - Data Thinking: An Approach to Using Design...

Experiencing Data w/ Brian T. O’Neill ·

2020/06/16

The job of many internally-facing data scientists in business settings is to discover,explore, interpret, and share data, turning it into actionable insight that can benefit the company and improve outcomes. Yet, data science teams often struggle with the very basic question of how the company’s data assets can best serve the organization. Problem statements are often vague, leading to data outputs that don’t turn into value or actionable decision support in the last mile. This is where Martin

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01:01:13

040 – Improving Potato Chips and Space Travel: NASA’s...

Experiencing Data w/ Brian T. O’Neill ·

2020/06/02

Innovation doesn’t just happen out of thin air. It requires a conscious effort, and team-wide collaboration. At the same time, innovation will be critical for NASA if the organization hopes to remain competitive and successful in the coming years. Enter Steve Rader. Steve has spent the last 31 years at NASA, working in a variety of roles including flight control under the legendary Gene Kranz, software development, and communications architecture. A few years ago, Steve was named Deputy Director for

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44:54

039 – How PEX Fingerprinted 20 Billion Audio and...

Experiencing Data w/ Brian T. O’Neill ·

2020/05/19

Every now and then, I like to insert a music-and-data episode into the show since hey, I’m a musician, and I’m the host 😉 Today is one of those days! Rasty Turek is founder and CEO of Pex, a leading analytics and rights management platform used for discovering and tracking video and audio content using data science. Pex’s AI crawls the internet for user-generated content (UGC), identifies copyrighted audio/ visual content, indexes the media, and then enables rights holders to understand where their

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01:01:12

038 – (Special Co-Hosted Episode) Brian and Mark...

Experiencing Data w/ Brian T. O’Neill ·

2020/05/05

Mark Bailey is a leading UX researcher and designer, and host of the Design for AI podcast — a program which, similar to Experiencing Data, explores the strategies and considerations around designing data-driven human-centered applications built with machine learning and AI. In this episode of Experiencing Data — co-released with the podcast Design for AI — Brian and Mark share the host and guest role, and discuss 10 different UX concepts teams may need to consider when approaching ML-driven data

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