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Experiencing Data w/ Brian T. O’Neill — 205 episodes · page 1 of 3

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205 - Everyone Says They’re the Missing Layer in Enterprise AI, So I Asked Solid’s CEO How He Proves That in a POC

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204 - Showing ROI in 30 Minutes, Not Your AI: How Datalogz’s CEO Built a Sticky Enterprise Analytics Product

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203 - Engineering Is 6x Faster. Sales Isn't. Here's What Your Team Never Defined.

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202 - Surface Tension: The 5 Essential Control Surfaces to Make Your Analytics Product Sell Itself

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201 - What Enterprise Buyers Really Want from Analytics Software Companies with David Krauza

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200 - VC Lessons on GTM, Product, and Moats for Data and Security Startups with Nishkam Prabodh

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199 - Why Your Analytical AI Product Might Need 2 Pitches, Not 1, with Bhaskar Sunkara, CEO (bicycle.ai)

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198 - Ship the Meter: Making Invisible AI Legible to Buyers with Rana Gujral

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197 - Agentic AI Isn’t a Moat for Analytics Products. This is

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196 - The Unique Challenges and Solutions to Selling API-based Analytics and Intelligence Products

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195 - Buyers Block: Why Your B2B Analytics or AI Product's POC Didn't Close

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194 - AI for BI: Juan Sequeda on Preparing Your Analytics to Work With LLMs

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193 - Faster…or Better? Creating Value with Blue Ocean Thinking and AI-Powered Product Development

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192 – Product Usage Does Not = Value: Why “Adoption” Metrics Are Misleading You

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191 - Turning Agents into Software that Sells [Smarter!] with Zig.ai CEO Steve Ancheta

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190 - Why Discovering Valuable Analytics Use Cases for Your Product Is So Hard (Even with AI)

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189 - The Invisible Intelligence Gap

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188 - Can’t Close the Sale? Why Your Product’s UX and Workflow Misalignment Are Killing Sales (Part 2)

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187 - Can’t Close the Sale? The Invisible Reasons Prospects Aren’t Buying Your Technically Superior Analytics or AI Product (Part 1)

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186 - Why Powerful AI & Analytics Products Feel Useless to Buyers

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185 - Driving Healthcare Impact by Aligning Teams Around Outcomes with Bill Saltmarsh

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184 - Part III: Designing with the Flow of Work: Accelerating Sales in B2B Analytics and AI Products by Minimizing Behavior Change

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183 - Part II: Designing with the Flow of Work: Accelerating Sales in B2B Analytics and AI Products by Minimizing Behavior Change

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182 - Designing with the Flow of Work: Accelerating Sales in B2B Analytics and AI Products by Minimizing Behavior Change

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181 - Lessons Learned Designing Orion, Gravity’s AI, AI Analyst Product with CEO Lucas Thelosen (former Head of Product @ Google Data & AI Cloud)

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180 - From Data Professional to Data Product Manager: Mindset Shifts To Make

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179 - Foundational UX principles for data and AI product managers

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178 - Designing Human-Friendly AI Tech in a World Moving Too Fast with Author and Speaker Kate O’Neill

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177 - Designing Effective Commercial AI Data Products for the Cold Chain with the CEO of Paxafe

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176 - (Part 2) The MIRRR UX Framework for Designing Trustworthy Agentic AI Applications

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175 - The MIRRR UX Framework for Designing Trustworthy Agentic AI Applications (Part 1)

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174 - Why AI Adoption Moves at the Speed of User Trust Irina Malkova on Lessons Learned Building Data Products at Salesforce

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173 - Pendo’s CEO on Monetizing an Analytics SAAS Product, Avoiding Dashboard Fatigue, and How AI is Changing Product Work

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172 - Building AI Assistants, Not Autopilots: What Tony Zhang’s Research Shows About Automation Blindness

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171 - Who Can Succeed in a Data or AI Product Management Role?

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170 - Turning Data into Impactful AI Products at Experian: Lessons from North American Chief AI Officer Shri Santhnam (Promoted Episode)

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169 - AI Product Management and UX: What’s New (If Anything) About Making Valuable LLM-Powered Products with Stuart Winter-Tear

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168 - 10 Challenges Internal Data Teams May Face Building Their First Revenue-Generating Data Product

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167 - AI Product Management and Design: How Natalia Andreyeva and Team at Infor Nexus Create B2B Data Products that Customers Value

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166 - Can UX Quality Metrics Increase Your Data Product's Business Value and Adoption?

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165 - How to Accommodate Multiple User Types and Needs in B2B Analytics and AI Products When You Lack UX Resources

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164 - The Hidden UX Taxes that AI and LLM Features Impose on B2B Customers Without Your Knowledge

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163 - It’s Not a Math Problem: How to Quantify the Value of Your Enterprise Data Products or Your Data Product Management Function

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162 - Beyond UI: Designing User Experiences for LLM and GenAI-Based Products

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161 - Designing and Selling Enterprise AI Products [Worth Paying For]

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160 - Leading Product Through a Merger/Acquisition: Lessons from The Predictive Index’s CPO Adam Berke

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159 - Uncorking Customer Insights: How Data Products Revealed Hidden Gems in Liquor & Hospitality Retail

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158 - From Resistance to Reliance: Designing Data Products for Non-Believers with Anna Jacobson of Operator Collective

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157 - How this materials science SAAS company brings PM+UX+data science together to help materials scientists accelerate R&D

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156-The Challenges of Bringing UX Design and Data Science Together to Make Successful Pharma Data Products with Jeremy Forman

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155 - Understanding Human Engagement Risk When Designing AI and GenAI User Experiences

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154 - 10 Things Founders of B2B SAAS Analytics and AI Startups Get Wrong About DIY Product and UI/UX Design

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153 - What Impressed Me About How John Felushko Does Product and UX at the Analytics SAAS Company, LabStats

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152 - 10 Reasons Not to Get Professional UX Design Help for Your Enterprise AI or SAAS Analytics Product

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151 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode)

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150 - How Specialized LLMs Can Help Enterprises Deliver Better GenAI User Experiences with Mark Ramsey

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149 - What the Data Says About Why So Many Data Science and AI Initiatives Are Still Failing to Produce Value with Evan Shellshear

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148 - LLMs need UX: How to Increase Your B2B Product’s Value with AI (Part 2)

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147 - LLMs need UX: How to Increase Your B2B Product’s Value with AI (Part 1)

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146 - (Rebroadcast) Beyond Data Science - Why Human-Centered AI Needs Design with Ben Shneiderman

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145 - Data Product Success: Adopting a Customer-Centric Approach With Malcolm Hawker, Head of Data Management at Profisee

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144 - The Data Product Debate: Essential Tech or Excessive Effort? with Shashank Garg, CEO of Infocepts (Promoted Episode)

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143 - The (5) Top Reasons AI/ML and Analytics SAAS Product Leaders Come to Me For UI/UX Design Help

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142 - Live Webinar Recording: My UI/UX Design Audit of a New Podcast Analytics Service w/ Chris Hill (CEO, Humblepod)

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141 - How They’re Adopting a Producty Approach to Data Products at RBC with Duncan Milne

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140 - Why Data Visualization Alone Doesn’t Fix UI/UX Design Problems in Analytical Data Products with T from Data Rocks NZ

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139 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode)

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138 - VC Spotlight: The Impact of AI on SAAS and Data/Developer Products in 2024 w/ Ellen Chisa of BoldStart Ventures

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137 - Immature Data, Immature Clients: When Are Data Products the Right Approach? feat. Data Product Architect, Karen Meppen

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136 - Navigating the Politics of UX Research and Data Product Design with Caroline Zimmerman

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135 - “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations

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134 - What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies”

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133 - New Experiencing Data Interviews Coming in January 2024

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132 - Leveraging Behavioral Science to Increase Data Product Adoption with Klara Lindner

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131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill

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130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome

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129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue

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128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst

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127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry

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126 - Designing a Product for Making Better Data Products with Anthony Deighton

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125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao

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124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

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123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill

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122 - Listener Questions Answered: Conducting Effective Discovery for Data Products with Brian T. O’Neill

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121 - How Sainsbury’s Head of Data Products for Analytics and ML Designs for User Adoption with Peter Everill

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120 - The Portfolio Mindset: Data Product Management and Design with Nadiem von Heydebrand (Part 2)

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119 - Skills vs. Roles: Data Product Management and Design with Nadiem von Heydebrand (Part 1)

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118 - Attracting Talent and Landing a Role in Data Product Management with Kyle Winterbottom

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117 - Phil Harvey, Co-Author of “Data: A Guide to Humans,” on the Non-Technical Skills Needed to Produce Valuable AI Solutions

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116 - 10 Reasons Your Customers Don’t Make Time for Your Data Product Initiatives + A Big Update on the Data Product Leadership Community (DPLC)

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115 - Applying a Product and UX-Driven Approach to Building Stuart’s Data Platform with Osian Jones

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114 - Designing Anti-Biasing and Explainability Tools for Data Scientists Creating ML Models with Josh Noble

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113 - Turning the Weather into an Indispensable Data Product for Businesses with Cole Swain, VP Product at tomorrow.io

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112 - Solving for Common Pitfalls When Developing a Data Strategy featuring Samir Sharma, CEO of datazuum

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111 - Designing and Monetizing Data Products Like a Startup with Yuval Gonczarowski

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110 - CDO Spotlight: The Value and Journey of Implementing a Data Product Mindset with Sebastian Klapdor of Vista

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109 - The Role of Product Management and Design in Turning ML/AI into a Valuable Business with Bob Mason from Argon Ventures

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108 - Google Cloud’s Bruno Aziza on What Makes a Good Customer-Obsessed Data Product Manager

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107 - Tom Davenport on Data Product Management and the Impact of a Product Orientation on Enterprise Data Science and ML Initiatives

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106 - Ideaflow: Applying the Practice of Design and Innovation to Internal Data Products w/ Jeremy Utley