Data Leaders

Data Leaders

Sinopse is where we invite top AI entrepreneurs and extract meaningful and actionable insights that you can apply to life and work to help you achieve your dreams and goals.

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  • AI Product Development Framework
    AI Product Development Framework
    Duração: 32min | 24/04/2018

    Ivy Nguyen shares insights on:  Going beyond data - why data is NOT the new oil Model-Market Fit vs. Product-Market Fit Data Moat - a term she coined at Zetta Ventures - What does that mean and how can you build one. AI product development strategy. A trifecta of: Performance Plateau Minimum Algorithm Performance Stability Threshold About Ivy Nguyen: Investor @ Zetta Ventures Partners, VC firm that exclusively invests in startups leveraging Data and AI. Prior to Zetta, Ivy sourced and led investments in several companies including Constructor, NuCypher, Assembly, and Agridata. Ivy graduated with a chemical engineering degree from Stanford Fun fact about Ivy: Ivy loves to knit and is planning to make a hat from a neural net generated knitting pattern. Follow Ivy on Twitter or LinkedIn to keep up with AI Product Development and her new AI Metrics Benchmark program. 

  • Early Stage AI Startups and Product Market Fit
    Early Stage AI Startups and Product Market Fit
    Duração: 36min | 27/01/2018

    In this episode, I invite Swaroop "Kittu" Kolluri to share his thoughts on: His decision making process around early stage VC Investments AI Startups - How to develop an unfair advantage in your AI Startup Two Phases of Product Market Fit To learn more about Kittu, please visit NeoTribe Ventures.  About Kittu: Founder and Managing Director of NeoTribe Ventures. Named as one of the Top 100 Venture Capitalists by New York Times/CBInsights Top 10 Indian VC’s in the world.

  • Building a Data Startup
    Building a Data Startup
    Duração: 17min | 09/11/2017

    In this episode, Tom shares his advice on: Building Data Startups Company culture and growth  Future of AI About Tom Reilly: Tom Reilly is the CEO of Cloudera. Tom has a distinguished 30-year career in the enterprise software market. Tom has led several tech startups through a successful initial public offering. Prior to Cloudera, Tom served as CEO of ArcSight, an enterprise security company acquired by HP in 2010. Fun fact: Tom is one of things in the Internet of Thing (IoT). More on that in the podcast. 

  • Grow Like Dropbox: Data Inspired Viral Marketing
    Grow Like Dropbox: Data Inspired Viral Marketing
    Duração: 22min | 08/10/2017

    In this episode, I chat with Savvas Zortikis about an Analytical approach to Viral Marketing.  Hear Savvas talk about how he studied Word-of-Mouth like a mad-scientist. He turned his hard-earned knowledge into six digestible chunks of 'execution-ready' methods - and launched it on Product Hunt. No surprise, it went viral.  SaaS product customer retention - how he figured out what it takes to have high retention and NPS.  Round of rapid-fire questions on Growth and Retention.  About Savvas Zortikis Savvas is a CEO of Viral Loops, a venture-backed viral and referral marketing platform for building referral campaigns, ambassador programs, viral competitions, and sweepstakes. On his free time, he pursues his passion for understanding network effects, the science behind word of mouth and branding. He’s been featured in Forbes, and Fortune.

  • Crafting Engaging Content: A Data-Inspired Approach
    Crafting Engaging Content: A Data-Inspired Approach
    Duração: 10min | 10/09/2017

    In this episode, I sit down with Aaron to learn about how he and his agency creates engaging content. Takeaways: Focus on copywriting basics. Make every word valuable. This means not using words like “just” or “really.” People love a good narrative. Give them a gift of emotional engagement. Pull the strings of your heart without holding back. Find personal stories from your daily work and translate that to something of value to people. This means approaching your day like a book, with each meeting as a chapter of a story.

  • Content Creation  Analytics: Writing Process for Top Writers
    Content Creation & Analytics: Writing Process for Top Writers
    Duração: 18min | 01/09/2017

    I've always wondered if there were any patterns among the top writers when it comes to their writing process. This episode takes a stab at answering that question. 

  • Data, Intuition, and Product Development
    Data, Intuition, and Product Development
    Duração: 19min | 24/08/2017

    Olof Mathe, the founder of Mixmax, one of the most well-renowned email communication products, shares his thoughts on: How he and his team discovered product-market fit for Mixmax... Key metrics for early-stage startups - how they changed everything for Mixmax What led Mixmax to spread like a wild fire...from 0 to 5000 customers without spending a penny on marketing How Mixmax discovered its vision and foundational purpose Attitudinal difference between millennial sales professional and the previous generations References: About Olof Mathe: Founder and CEO of Mixmax Prior to that, Olof led the team that built Inkling Habitat and Skype. Olof grew up in Sweden and finished his engineering degree in France. Fun Fact about Olof: He co-founded an art hackathon where Digital artists and hackers get together in an art space and create full-fledged art exhibit within 24 hours. This hackathon was featured in TechCrunch and FastCompany.

  • Attributes of High-Quality Content
    Attributes of High-Quality Content
    Duração: 13min | 15/08/2017

    In this podcast series, I sat down with the top writers from SF, LA, and NY to learn how they create great content. You’ll be hearing their insights on attributes of the high-quality content. This is a part I of a 10-Part Series. In this episode, we hear from: Joe Escobedo @ Forbes Garrett Ruiz @ BlueJeans Riddhi Shah, Alum @ Medium and HuffPo KC Karnes @ CleverTap Alisha Paulsen @ Workday Here are some of their top insights: What are the attributes of high-quality content? Joe Escobedo: High-Quality content should either educate or entertain your audience, or both. You never really know if it's good until it's published and you get feedback from your audience Provides a solution Ask "What kind of additional insights or information would they want." Garrett Ruiz: Accurate Informative and insightful Leads the user to the next place in the buyer's journey Riddhi Shah: High-Quality content is very intuitive. It's a mix of art and science. New or insightful information For virality, it should produce an el

  • Data Inspired Product/Market Fit
    Data Inspired Product/Market Fit
    Duração: 21min | 08/08/2017

    I met up with Sean Sheppard to learn about his growth based product/market fit approach. My takeaways: Quickest path to product/market fit Product Management Special: Skills, attitude, and mindset for achieving a great market fit Product Development Vs. Market Development A clear and actionable pathway to achieve the skills and knowledge needed to win as an early stage founder or a product manager  The new set of hard skills needed to succeed as a startup founder References: Market Acceleration Program from GrowthX. About Sean Sheppard:   Founding Partner at GrowthX - A seed-stage venture capital fund. Co-founder of GrowthX Academy - A training ground for tech sales, marketing, and design professionals. Contributor for Huffington Post and mentor to several high-growth start-ups Named Top 20 Sale Influencers in Silicon Valley    

  • Content Creation  Analytics - Part I
    Content Creation & Analytics - Part I
    Duração: 11min | 28/07/2017

    In this podcast series, I sat down with the top writers from SF, LA, and NY to learn how they create great content. You’ll be hearing their insights on overcoming their biggest challenges, the hottest tools they’re using right now for content creation, and how they foresee the future of content creation. In this episode, we hear from In this show, we have Mina Zivkovic from Canvas Arielle Shnaidman from Accello Nigel Stevens from BigCommerce Chris McCarthy from JetLore, and Kelly Johnson from Here are some of their top insights: Mina Zivkovic - Finding a balance between selling your products AND creating content that brings value to the reader. Arielle Shnaidman - Figuring out and presenting the pain points, so they pull the strings of your heart, right away. And do it consistently. Kelly Johnson - Showing ROI from content...We have to be judicious, strategic, and frugal. Being able to show how a blog post or a whitepaper contribute to the bottom line. Chris McCarthy - Voracious need for cont

  • Real-Time Audience Behavior with AI
    Real-Time Audience Behavior with AI
    Duração: 19min | 27/07/2017

    In this episode, Kevin Lyons shares his insights on: Real-Time Audience Composition with AI Hyper-Personalization - AI Driven Targeting meets AI Driven Content Communicating the value of machine learning to CMO’s About Kevin Lyons: Kevin is a Senior Vice President, Data Science, Digital Technology at Nielsen Marketing Cloud. A data science and marketing technology thought leader, Kevin helps companies out-think their competitors by using data-driven insights to make better strategic business decisions. Kevin is responsible for developing and evangelizing product vision as well as executing a variety of initiatives, including customer segmentation & profiling, data-mining and modeling, marketing optimization, predictive analytic platform development, and business intelligence solutions. Fun Facts about Kevin - Kevin was a Ph.D. candidate in history with a specialization in medieval history. His first job out of school was selling life insurance. He eventually went back to school and got a degree in advan

  • Analytics for Art
    Analytics for Art
    Duração: 33min | 14/07/2017

    I had a chance to sit down with co-founders of Monicat Data.  It's the first time I chatted with experts at the intersection of data science and art, so I took a lot of notes.  What I learned: How to quantify art... This is the first time I heard some articulate it so well. A must listen for anyone who thinks Art cannot be quantified. How creative supporting organizations approach analytics  Data Entrepreneurship learning lessons! Product Management - How is it done in Art Organizations! Covered tons of other topics - including my favorite - round of rapid fire questions!  About Monicat Data:  Jasmine, Cassie, and Kurt are co-founders of Monicat Data, a Data Management & Research agency specifically focused on bringing strategic data to Artists and Creative Supporting Organizations. Since launching September of 2016, Monicat Data has aided creative organizations with data solutions ranging from notable names such as Springboard for the Arts, Rhymesayers Entertainment, Forecast Public Art. Fashion Week

  • Data Operations in the Era of AI
    Data Operations in the Era of AI
    Duração: 29min | 29/06/2017

    In this episode, Jarah Euston discusses: How is Data Operations being redefined – 2015 Vs 2017 & Beyond Top challenges most data-driven executives face when it comes to gaining insights from their data. An opportunity that most data-driven organization are unaware of – this is going to be blow up in next couple of years Entrepreneur / Executive Special Edition: How to achieve unstoppable momentum for your startup (whether you work in a scrappy startup environment or a large org, this applies to you!) How to get better at making presentations Women Tech Entrepreneurship: Challenges and Path to Success Top stories she uses when communicating with C-Suite about Data Science About Jarah Euston: Jarah Euston is a growth and analytics leader who has propelled several Silicon Valley Startups to the top. Jarah is one of the Business Insider’s “28 Most Powerful Women in Mobile Advertising.” Jarah served as growth and analytics leader at Flurry, Yahoo, and most recently Nexla, an early stage next gen data ops

  • AI-Driven Empathy
    AI-Driven Empathy
    Duração: 47min | 24/05/2017

    AI Entrepreneurs Series is where I invite top entrepreneurs from AI & Data Science field to share their journey and insights. In this show, Chris McKillop, Co-founder and CEO of Turalt, shares her insights on: Big opportunities at the intersection of AI and Psychology Learn one way in which most AI experts, conferences, and workshops screw up Women, AI, and Entrepreneurship: Some great learning lessons for most men in this field. I learned a ton from this discussion. Future of chatbots, customer service, and AI  Tons of personal stories, anecdotes, and inspiring soundbites to help you take your AI vocabulary to the next level! References: Turalt: Connect with Chris on Twitter and follow her blog. About Chris McKillop: Chris McKillop is the CEO and Co-Founder of Turalt, a company which develops AI products to help improve empathy in online communications. Chris has a degree in artificial intelligence and a Ph.D. in educational technology, where she investigated and developed techniques to

  • IOT  Deep Learning Applications
    IOT & Deep Learning Applications
    Duração: 22min | 11/05/2017

    AI Entrepreneurs Series is where I invite top entrepreneurs from AI & Data Science field to share their journey and insights.   Prateek Joshi shares his insights on: IOT and Deep Learning: How do they fuel each other Product Teams - Listen up to this one - Prateek shares his core idea on when to use AI and when to run away from it... Prateek's personal journey on what led him to create Pluto AI.  Several other entertaining/informative insights! As always, I hope you enjoy listening to this much as much I enjoy creating it!  

  • Rise of Enterprise AI
    Rise of Enterprise AI
    Duração: 48min | 04/05/2017

    In this episode, Rumman Chowdhury shares her insights on: Enterprise AI - What exactly is it and the right way to think of it Two key advantages Enterprise AI can provide to your organization  Biggest barrier executive leaders face when it comes to Entreprise AI Humanity and AI - Current AI models and flawed reality How to create AI with Active Inclusion Education as it stands today - how it's about to be revolutionized And tons of other valuable insights... I hope you enjoy listening to it as much as I enjoyed created it! References:  Rumman's Blog: Rumman's Twitter:  AI Education Startup Studies Show Hosted by Rumman Chowdhury and Imran Siddiquee. 1000 women in data science:   About Rumman Chowdhury Rumman Chowdhury is an AI Authority working on cutting edge applications of Artificial Intelligence at Accenture. She also serves on the Board of Dire

  • Human-In-The-Loop Machine Learning
    Human-In-The-Loop Machine Learning
    Duração: 25min | 23/04/2017

    In this episode, I sit down with Lukas Biewald of Crowdflower and we catch up on a very interesting and emerging topic of Human-In-The-Loop Machine Learning.  My takeaways: What is Human-In-The-Loop Machine Learning and how can it you get the best out of your ML program? Origins of Human-In-The-Loop at scale How can C-Suite use Human-In-The-Loop Machine Learning References: You may connect with Lukas on his twitter or catch up with him at an event he is hosting in SF on May 17th: TrainAI event (awesome lineup of AI Trailblazers)   About Lukas: Lukas Biewald is the founder of CrowdFlower. Founded in 2009, CrowdFlower is a data enrichment platform that taps into an on-demand workforce to help companies collect training data and do human-in-the-loop machine learning. Following his graduation from Stanford University with a B.S. in Mathematics and an M.S. in Computer Science, Lukas led the Search Relevance Team for Yahoo! Japan. He then worked as a senior data scientist at Powerset, which was acquired by Micro

  • Fintech in 2017: Financial Services Growth Marketing with Mike Barlow
    Fintech in 2017: Financial Services Growth Marketing with Mike Barlow
    Duração: 29min | 15/12/2016

    Financial services growth marketing series is where I invite top thought leaders from the financial services industry to share their wisdom on what drives growth. Mike Barlow shares his insights on: Integration Vs. Disruption: What's the right psychological mindset when it comes to growth Top challenges and opportunities for Fintech leaders in 2017 Evolving role of financial services CMO in light of AI and Data Science technologies And tons of other stuff: reading rituals, bias in AI, and favorite data anecdotes... You may follow Mike via Twitter or LinkedIn if you choose to keep up with his exciting adventures. 

  • Financial Services Content Marketing
    Financial Services Content Marketing
    Duração: 48min | 04/12/2016

    Financial services growth marketing series is where I invite top thought leaders from the financial services industry to share their wisdom on what drives growth. In this episode, Scott Wentworth shares his wisdom on: How to avoid the commoditization of financial services products & services Five step content creation process that took Scott several years to crystallize from having worked with some of the top financial services thought leaders... How to develop a unique point of view to improve resonance with your audience Last but not least - the impact of the political shift in financial services industry, and how it specifically affects you as a financial services growth leader. Scott was kind enough to put together his blueprint for our podcast listeners in a PDF format to make it easy to share with others in your organization: More options to reach Scott are his Linkedin or his website. 

  • Financial Data Science Meets Behavioral Neuroscience
    Financial Data Science Meets Behavioral Neuroscience
    Duração: 30min | 14/11/2016

    In this episode, David Herman shared his insights on: How can financial service companies create value using the emerging integration between behavioral neuroscience and financial data science (the right way and the wrong way) How the consumers win when these two fields interact How to win consumer trust when building advanced AI products or campaigns, especially catering to finance industry. David Herman packed some powerful concepts and insights in quick 30 min conversation and it is definitely worth a listen or two :) Dave's been busy at Payoff, but his youtube channel has some great videos as well.  For additional questions, you may reach out to David on his linked or his email dh.herman "at"  

  • Financial Services Growth Marketing with Mika Carter
    Financial Services Growth Marketing with Mika Carter
    Duração: 28min | 07/11/2016

    In this podcast, we discuss: Top challenges and opportunities financial services marketing leaders are experiencing Role of data and metrics in consumer journey Specific strategies to address financial services growth challenges Email marketing strategies for Financial Services companies Role of AI in modern marketing Mika is a growth marketing thought leader in financial services space where she is passionate about helping companies with modern data-informed marketing. Mika does this with significant breadth and depth of strategic management and hands-on experience across marketing communications, channel, digital, social media, mobile, and emerging marketing technologies. Mika has also presented at several marketing conferences and training events. Mika's Linkedin:

  • Growth Hacking Meets Machine Learning
    Growth Hacking Meets Machine Learning
    Duração: 30min | 18/09/2016

    In this podcast episode, Gaurav discusses growth hacking, machine learning, and copywriting.  Gaurav has been part of mission-critical teams at two San Francisco startups, LinkedIn Slideshare, and Klout. He previously cofounded ThisYaThat, an online book portal for the Indian market, which won the Wharton Entrepreneurship VIP Seed Award and was the first non-US venture to receive an entrepreneurial grant from Wharton’s Innovation Fund. He was featured in Hindustan Times, Yahoo Finance, YourStory, and TechCircle. He is also the co-inventor of an application-agnostic user search engine. Most recently, he has been building Profillic, a product to fix candidate screening by applying machine learning to the problem of skill validation. He is finishing up his Master’s, from Columbia University, with a focus on computational linguistics/natural language processing and machine learning, and he collaborated with the data services, machine learning, and business analytics team at Google Nest this summer.

  • Sports Analytics, Betting,  Team Building Using Data Science
    Sports Analytics, Betting, & Team Building Using Data Science
    Duração: 34min | 12/08/2016

    Richard Demsyn-Jones has an extensive experience building predictive models. Currently, Richard is at Google Trust and Safety Analytics, Prior to that Richard helped Capital One with their data science opportunities as a principal data scientist. Richard has an academic background in economics. I bumped into Richard when he was presenting on sports analytics, and despite zero interest or prior experience in watching in Hockey, I found myself deeply immersed in Richard’s presentation where he discussed data analytics around goalie quality...This goes to show Richard’s compelling storytelling abilities. Couple of fun facts about Richard: He thinks cereal is good for any meal, also he’s from Canada, but doesn’t want you to hold that against other Canadians. In this podcast, Richard shares his thoughts on: When it comes to betting, is natural talent more important than quantitative skills Nate Silvers story on why he left the poker world... A key area for a sports analyst to focus on (even if you are a hobbyist,

  • TensorFlow Pros and Cons: Going Beyond The Headlines
    TensorFlow Pros and Cons: Going Beyond The Headlines
    Duração: 48min | 02/07/2016

    Sam Abrahams is a TensorFlow evangelist and a kickass storyteller, programmer, and a statistician! In this podcast episode, Sam discusses his thoughts on TensorFlow coming from a hard-core practitioner point of view. We chat about: TensorFlow and how it compares to other machine learning frameworks Mastering TensorFlow: How to go from being zero to well-sought out TensorFlow expert Journey of a Data Scientist. What does it take to become one... And a round of intriguing rapid fire questions guaranteed to give you some golden nuggets! Show References: TensorFlow White Paper Sam's Github With TensorFlow Whitepaper Notes Sam's Upcoming Book on TensorFlow For Machine Intelligence Sam's Blog:    

  • Sean McClure on Deriving Real World Value From Data Science
    Sean McClure on Deriving Real World Value From Data Science
    Duração: 33min | 07/06/2016

    Sean is the director of data science at Space-Time Insight, a leading provider of advanced analytics software for organizations looking to leverage machine learning for their business applications. Having worked across diverse industries, and alongside many talented professionals, Sean has seen the blend of approaches required to successfully convert raw data into real world value. Sean holds his doctorate in scientific computing, where he used advanced mathematics, parallel computing and optimization to solve challenges in nanotechnology, chemistry and renewable energy. After completing his Ph.D. Sean started his own data science consulting practice, helping companies automate decision-making and uncover patterns in large amounts of data. Sean has since joined a major technology consulting firm working with cross-discipline teams to build the next generation of adaptive, data-driven applications.  Sean’s upcoming book is focusing on building products with data and will be published by O'Reilly. To connect w

  • Ben Spooner on Dashboard Building Process: Inception to Autonomous Decision Making
    Ben Spooner on Dashboard Building Process: Inception to Autonomous Decision Making
    Duração: 27min | 08/05/2016

    Ben Spooner has several years of experience as an Army Officer at a battle post in Iraq, both in Intelligence as well as Executive capacities. I sat down with him to discuss his thoughts on activating a data driven work culture using data visualization and dashboards as primary weapons.  Here's what we discussed: A complete dashboard lifecycle - from inception to decision-making How to build dashboards that drive decision making Up close and personal look at the data scientist who did data research and exploration at the front line trenches of  insurgency in a war zone When is raw data the best form of reporting (instead of a fancy-schmancy dashboard) Two critical factors that fuels dashboard building process…They are C-words (hint: Curiosity and Collaboration) Data Driven culture has two key pursuits: truth and discovery. How to make a dashboard that builds this type of a data driven culture... How to deal with stakeholders who don’t appreciate the exploratory process of dashboard building… and how to set t

  • Peter Nelson on Unicorn Conversions  Mobile Devices: How to Break Through Mediocre Conversion Rate on Mobile Devices?
    Peter Nelson on Unicorn Conversions & Mobile Devices: How to Break Through Mediocre Conversion Rate on Mobile Devices?
    Duração: 19min | 08/03/2016

    Peter Nelson, CEO of, and I sat to discuss Adaptive Design and it’s impact on Conversion Optimization. Peter brings a breath of experience to Marketing Technology space and it was fun sitting down with him to discuss everything from his entrepreneurial philosophy to his home in Norway...   Interesting gems of knowledge I picked up:   How to get unicorn conversion rate for mobile devices... What is Adaptive Design and how does it differ from responsive design? Mobile specific calls to actions and navigation features... How to effectively use sticky header and footer in mobile design? How to cut testing time by more than half so you can fit more tests in your testing calendar! References: Wordstream Study on Mobile Click Distribution Link to Peter’s Company:

  • Predicting the Next Pitch
    Predicting the Next Pitch
    Duração: 19min | 28/01/2016

    For the past 2 years, Zach has been working as a data scientist at an industry leading data consulting firm.  He works in fraud analytics space where he and his team has saved hundreds of millions of dollars of federal dollars using sophisticated data science techniques. He is also a recent graduate of data science program at UC Berkeley. When I met him, I was really impressed with your ability to speak “real world” data science and later I found out that he has a professional background in teaching complex topics like physics and calculus, which is what makes you such a good communicator in this field. I sat down with him on a sunny Saturday afternoon to discuss one of the most exciting projects he has worked on in his data science career.  Here's a quick recap of what we discussed: Can we predict what pitch is going to be thrown next in major league baseball? Implications for Hitters (batters) equipped with this data is $10M to $15M per season.  A wave of In-game analytics about to hit the sports indust

  • Lisa Kirch on Intersection of Data Science and Smart Home
    Lisa Kirch on Intersection of Data Science and Smart Home
    Duração: 13min | 20/11/2015

    Lisa Kirch has over 20 years of broad business experience and deep understanding of data science. As she was recently celebrating her graduation from Berkeley's data science program, I got together with her to chat about a very interesting project she has been working on for the last few weeks.  Listen to this quick (less than 15 mins) discussion to learn more about: - Future of smart home (connected home) and conversation - Data science can help create a sustainable ways of living - Compelling Visuals Dashboards  Connect with Lisa at on LinkedIn or @lkonthego on twitter. For email fans, reach out to Lisa and learn more about her data science projects via email at

  • Sharon Lin on Mobile Analytics, Behavioral Patterns, and Data Science
    Sharon Lin on Mobile Analytics, Behavioral Patterns, and Data Science
    Duração: 19min | 12/07/2015

    Sharon Lin has big aspirations when it comes to big data. Sharon wants to apply data science to solve California’s mega drought problem by integrating real-time weather data into crop irrigation systems. Additionally, she wants to use advanced image recognition algorithms to predict, track, and monitor endangered wildlife migration patterns to help endangered species from being hunted. I sat down with her this week to talk about applications of data science in the field of mobile behavioral analytics. Over the last 5 years, Sharon has worked in the emerging field of mobile behavioral analytics and she shared some golden nuggets with me.  Here’s what I picked up: Mobile analytics and its relationship with evolution and emergence of IoT (internet of things) Privacy, Personalization, and IoT: Sharon shared her brief thoughts on the intersection of these areas.  Two main problems most companies face when it comes to fully maximize their data potential, and what to do about it! Difference between data processing