Harry Glaser's guest appearances

Harry Glaser

Super Data Science: ML & AI Podcast with Jon Krohn

The Official SaaStr Podcast: SaaS | Founders | Investors

14 Minutes of SaaS - founder stories on business, tech and life

Founder Fundamentals

Infinite Machine Learning: Artificial Intelligence | Startups | Technology

Patrick Campbell

Michael Litt

Peter Reinhardt

Godard Abel

Mark Organ

Kolton Andrus

Nicolas Dessaigne

Bob Moore

Edith Harbaugh

Garry Tan

Ryan Carson

Perx CEO

Harrison Rose

Niklas Östberg

Bridget Harris

OwlTail

Model deployment, data warehouse options for running models, and how to best leverage BI tools: Harry Glaser and Jon Krohn discuss Modelbit’s capabilities to automate ML models from notebooks into production-ready models, reducing the time and effort in ‘translating’ information from one mode to another. Harry’s conversation with host Jon Krohn expanded on the importance of automating this task, and how developments in ML modeling have widened access to entire teams to analyze data, whatever their level of expertise.This episode is brought to you by the AWS Insiders Podcast (https://pod.link/1608453414). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What the modern data stack is [03:28]• Version control for data scientists [13:30]• CI/CD, load balancing and logging [20:38]• Snowflake vs. Redshift [30:10]• How tools like Looker and Tableau help monitor models [35:26]Additional materials: www.superdatascience.com/699

Model deployment, data warehouse options for running models, and how to best leverage BI tools: Harry Glaser and Jon Krohn discuss Modelbit’s capabilities to automate ML models from notebooks into production-ready models, reducing the time and effort in ‘translating’ information from one mode to another. Harry’s conversation with host Jon Krohn expanded on the importance of automating this task, and how developments in ML modeling have widened access to entire teams to analyze data, whatever their level of expertise. This episode is brought to you by the AWS Insiders Podcast (https://pod.link/1608453414). Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://JonKrohn.com/podcast" rel="nofollow" target="_blank">JonKrohn.com/podcast</a> for sponsorship information. In this episode you will learn: • What the modern data stack is [03:28] • Version control for data scientists [13:30] • CI/CD, load balancing and logging [20:38] • Snowflake vs. Redshift [30:10] • How tools like Looker and Tableau help monitor models [35:26] Additional materials: <a href="http://www.superdatascience.com/699" rel="nofollow" target="_blank">www.superdatascience.com/699</a>

699: The Modern Data Stack, with Harry Glaser

Harry Glaser is the cofounder and CEO of Modelbit, a platform for data scientists to deploy machine learning models. He was previously the cofounder and CEO of Periscope Data, which raised more than $50M in funding from investors such as Bessemer, Threshold, Susa, and others. Periscope got acquired for $130M by SiSense. Prior to that, he was a product manager at Google.  In this episode, we cover a range of topics including: - Key learnings from Periscope- What experiments did he run at Periscope during the product-market fit discovery phase- How to hire executives- Motivation behind launching Modelbit- How is Modelbit being used today- Content marketing for developer tooling companies- Top 2-3 favorite use cases for ModelbitHarry's favorite books: Two books by Kazuo Ishiguro -- The Remains Of The Day, Never Let Me Go --------Where to find Prateek Joshi:  Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi 

<a href="https://www.linkedin.com/in/harryglaser/" rel="nofollow" target="_blank">Harry Glaser</a> is the cofounder and CEO of Modelbit, a platform for data scientists to deploy machine learning models. He was previously the cofounder and CEO of Periscope Data, which raised more than $50M in funding from investors such as Bessemer, Threshold, Susa, and others. Periscope got acquired for $130M by SiSense. Prior to that, he was a product manager at Google.  In this episode, we cover a range of topics including: - Key learnings from Periscope - What experiments did he run at Periscope during the product-market fit discovery phase - How to hire executives - Motivation behind launching Modelbit - How is Modelbit being used today - Content marketing for developer tooling companies - Top 2-3 favorite use cases for Modelbit Harry's favorite books: Two books by Kazuo Ishiguro -- The Remains Of The Day, Never Let Me Go -------- Where to find Prateek Joshi:  Newsletter: <a href="https://prateekjoshi.substack.com" rel="nofollow" target="_blank">https://prateekjoshi.substack.com</a> Website: <a href="https://prateekj.com" rel="nofollow" target="_blank">https://prateekj.com</a> LinkedIn: <a href="https://www.linkedin.com/in/prateek-joshi-91047b19" rel="nofollow" target="_blank">https://www.linkedin.com/in/prateek-joshi-91047b19</a> Twitter: <a href="https://twitter.com/prateekvjoshi" rel="nofollow" target="_blank">https://twitter.com/prateekvjoshi</a>

Lessons from a $130M acquisition, ML model deployment for data scientists, Discovering product-market fit | Harry Glaser, cofounder and CEO of Modelbit

Sisense

Harry really underlines the value of finding an amazing co-founder - his talented room-mate in college for 4 years, Tom O'Neil. He started his career in Google in product management and that was a very formative experience for him. Since this interview Harry’s company Periscope was acquired by SiSense and now he’s the General Manager and CMO there.

E69: Harry Glaser, CMO & GM of SiSense, ex Periscope Data CEO & Co-founder – Start with the Right Co-Pilot

Recorded (8/19): In this episode, hear Harry Glaser, CMO and San Francisco GM of Sisense speak about his experience of starting Periscope Data. In May of 2019 Periscope Data was merged with Sisense, the leading analytics platform for builders. Harry touches upon the value of data, getting your first customer, listening to customer feedback and much more! 

Recorded (8/19): In this episode, hear Harry Glaser, CMO and San Francisco GM of Sisense speak about his experience of starting Periscope Data. In May of 2019 Periscope Data was merged with Sisense, the leading analytics platform for builders. Harry touches upon the value of data, getting your first customer, listening to customer feedback and much more!

Periscope Data/Sisense: Harry Glaser 

Harry Glaser is the Founder &amp; CEO @ Periscope Data, the startup that allows you to transform your business with the fastest, most powerful analytics platform. To date, Periscope have raised over $34m in funding from some of the very best in the business including Bessemer, SV Angel, DFJ, Susa Ventures and Data Collective, just to name a few. With this funding they now serve over 975 customers including Adobe, Flexport, Tinder, NewRelic and more. Prior to founding Periscope, Harry was a Product Manager @ Google. Fun fact about Periscope, it was voted the best small company to work for in 2017.   In Today’s Episode You Will Learn:  How Harry made his way from being a PM at Google to convincing his co-founder Tom to leave his comfortable corporate job in Seattle to chase the startup dream in the valley? Diverse Teams: There a a lot of all white male teams in SaaS, what should they do to create a more diverse, well-rounded team? What is the first step? What is the framework for achieving this hiring ambition? What are the biggest challenges? Where does Harry see founders most often making mistakes in building diverse teams? Data Teams: Why does Harry believe that founding teams must have data professionals within them from Day 1? Why does Harry believe this makes those startups more successful? What are the fundamental benefits? How does this data-centricity change the decision-making of the organisation? What are the core challenges in scaling this data team? Moving Upmarket: Why does Harry believe that it is better to do SMB to enterprise than enterprise to SMB? How does the product fundamentally change when addressing the enterprise market? How does the structure of the team change with the move? How does the messaging of the company alter with the move to a more enterprise focus?  60 Second SaaStr  What does Harry know now that he wishes he had known at the beginning? Harry recently tweeted “you don’t choose the kind of CEO you are”, what kind of CEO are you then? A moment in Harry’s life that has served as an inflection point and changed the way he thinks? What can a founder do today to instantly make a better workplace culture?  If you would like to find out more about the show and the guests presented, you can follow us on Twitter here: Jason Lemkin Harry Stebbings SaaStr Harry Glaser

<a href="https://twitter.com/harryglaser" rel="nofollow" target="_blank">Harry Glaser</a> is the Founder &amp; CEO @ <a href="https://www.periscopedata.com/" rel="nofollow" target="_blank">Periscope Data</a>, the startup that allows you to transform your business with the fastest, most powerful analytics platform. To date, Periscope have raised over $34m in funding from some of the very best in the business including Bessemer, SV Angel, DFJ, Susa Ventures and Data Collective, just to name a few. With this funding they now serve over 975 customers including Adobe, Flexport, Tinder, NewRelic and more. Prior to founding Periscope, Harry was a Product Manager @ Google. Fun fact about Periscope, it was voted the best small company to work for in 2017.   In Today’s Episode You Will Learn: <ul> <li>How Harry made his way from being a PM at Google to convincing his co-founder Tom to leave his comfortable corporate job in Seattle to chase the startup dream in the valley?</li> <li>Diverse Teams: There a a lot of all white male teams in SaaS, what should they do to create a more diverse, well-rounded team? What is the first step? What is the framework for achieving this hiring ambition? What are the biggest challenges? Where does Harry see founders most often making mistakes in building diverse teams?</li> <li>Data Teams: Why does Harry believe that founding teams must have data professionals within them from Day 1? Why does Harry believe this makes those startups more successful? What are the fundamental benefits? How does this data-centricity change the decision-making of the organisation? What are the core challenges in scaling this data team?</li> <li>Moving Upmarket: Why does Harry believe that it is better to do SMB to enterprise than enterprise to SMB? How does the product fundamentally change when addressing the enterprise market? How does the structure of the team change with the move? How does the messaging of the company alter with the move to a more enterprise focus?</li> </ul> 60 Second SaaStr <ol> <li>What does Harry know now that he wishes he had known at the beginning?</li> <li>Harry recently tweeted “you don’t choose the kind of CEO you are”, what kind of CEO are you then?</li> <li>A moment in Harry’s life that has served as an inflection point and changed the way he thinks?</li> <li>What can a founder do today to instantly make a better workplace culture?</li> </ol> If you would like to find out more about the show and the guests presented, you can follow us on Twitter here: <a href="https://twitter.com/jasonlk" rel="nofollow" target="_blank">Jason Lemkin</a> <a href="https://twitter.com/HarryStebbings" rel="nofollow" target="_blank">Harry Stebbings</a> <a href="https://twitter.com/saastr" rel="nofollow" target="_blank">SaaStr</a> <a href="https://twitter.com/harryglaser" rel="nofollow" target="_blank">Harry Glaser</a>

SaaStr 165: Step By Step Guide To Building Truly Diverse Teams, Why Data Professionals Must Be At The Core of Your Company & How To Move Upmarket Effectively with Harry Glaser, Founder & CEO @ Periscope Data

I am delighted to welcome my first ever Harry to the show today in the form of Harry Glaser, Co-Founder &amp; CEO @ Periscope Data, the worlds fast analysis suite providing data analysts with the tools they need to improve their analysis by over 150X and an astonishing fact here they have doubled their revenue every 3 months ever since launch. Periscope’s investors include Ellen Pao, Matt Ocko @ Data Collective, Chad Byers @ Susa Ventures, Wes Chan @ Felicis, Benjamin Ling at Khosla and many more. Also in the show today we mention Jason Lemkin and Aaron Ross new book From Impossible to Inevitable: How Hypergrowth Companies Create Predictable Revenue and if you have not read that, that is a must and can be found here! In Today’s Episode with Harry We Discuss  How Harry came to be the founder of Persicope Data and what the a-ha moment was for him? How did Harry look to establish a pricing model with Periscope Data as a first time SaaS founder? What are Harry’s learnings of hiring and building out the initial sales team? How did Harry build out the institutonal training program to allow non technical people to sell a very non technical product? What are the inherent pros of having an inbound heavy model and what are the fundamental problems? Why are companies suddenly seeing the need for data analysts and what are the opportunites that data analysts present?  If you would like to find out more about the show and the guests presented you can follow us on Twitter here:  Jason Lemkin Harry Stebbings Saastr Harry Glaser 

I am delighted to welcome my first ever Harry to the show today in the form of <a href="https://twitter.com/harryglaser" rel="nofollow" target="_blank">Harry Glaser,</a> Co-Founder &amp; CEO @ Periscope Data, the worlds fast analysis suite providing data analysts with the tools they need to improve their analysis by over 150X and an astonishing fact here they have doubled their revenue every 3 months ever since launch. Periscope’s investors include Ellen Pao, Matt Ocko @ Data Collective, Chad Byers @ Susa Ventures, Wes Chan @ Felicis, Benjamin Ling at Khosla and many more. Also in the show today we mention Jason Lemkin and Aaron Ross new book From Impossible to Inevitable: How Hypergrowth Companies Create Predictable Revenue and if you have not read that, that is a must and can be found here! In Today’s Episode with Harry We Discuss <ul> <li>How Harry came to be the founder of Persicope Data and what the a-ha moment was for him?</li> <li>How did Harry look to establish a pricing model with Periscope Data as a first time SaaS founder?</li> <li>What are Harry’s learnings of hiring and building out the initial sales team?</li> <li>How did Harry build out the institutonal training program to allow non technical people to sell a very non technical product?</li> <li>What are the inherent pros of having an inbound heavy model and what are the fundamental problems?</li> <li>Why are companies suddenly seeing the need for data analysts and what are the opportunites that data analysts present?</li> </ul> If you would like to find out more about the show and the guests presented you can follow us on Twitter here: <ul> <li><a href="https://twitter.com/jasonlk" rel="nofollow" target="_blank">Jason Lemkin</a></li> <li><a href="https://twitter.com/HarryStebbings" rel="nofollow" target="_blank">Harry Stebbings</a></li> <li><a href="https://twitter.com/saastr" rel="nofollow" target="_blank">Saastr</a></li> <li>Harry Glaser</li> </ul>

SaaStr 030: Building & Training a Non-Technical Sales Team & Why A Heavy Inbound Model Is Like 'Driving A Racecar' with Harry Glaser, Co-Founder @ Periscope Data