[πŸ”Š Ep. 21] – Turning Complex Cloud IT Data Into Useful Decision Support Info with John Purcell of CloudHealth

John Purcell has more than 20 years of experience in the technology world. Currently, he’s VP of Products at CloudHealth, a company that helps organizations manage their increasingly complex cloud infrastructure effectively. Prior to this role, he held the same position at SmartBear Software, makers of application performance monitoring solutions. He’s also worn several hats … Read more[πŸ”Š Ep. 21] – Turning Complex Cloud IT Data Into Useful Decision Support Info with John Purcell of CloudHealth

[πŸ”Š Ep. 20] – How Human-Centered Design Increases Engagement with Data Science Initiatives, Products, and Solutions with Ahmer Inam

Ahmer Inam considers himself an evangelist of data science who’s been β€œdoing data science since before it was called data science. With more than 20 years of leadership experience in the data science and analytics field at companies including Nike and Cambia health, Ahmer knows a thing or two about what makes data science projects … Read more[πŸ”Š Ep. 20] – How Human-Centered Design Increases Engagement with Data Science Initiatives, Products, and Solutions with Ahmer Inam

[πŸ”Š Ep. 19] – The Non-Technical (Human!) Challenges that Can Impede Great Data Science Solutions with Dr. Bob Hayes

Dr. Bob Hayes, will be the first to tell you that he’s a dataphile. Ever since he took a stats course in college in the 80s, Bob’s been hooked on data. Currently, Bob is the Research and Analytics Director at Indigo Slate. He’s also the president of Business over Broadway, a consultancy he founded in … Read more[πŸ”Š Ep. 19] – The Non-Technical (Human!) Challenges that Can Impede Great Data Science Solutions with Dr. Bob Hayes

[πŸ”Š Ep. 18] The Business Value of Showing the β€œWhy” in AI Models with Jana Eggers (CEO, Naralogics)

Jana Eggers, a self-proclaimed math and computer nerd, is CEO of Nara Logics, a company that helps organizations use AI to eliminate data silos and unlock the full value of their data, delivering predictive personalized experiences to their customers along the way. The company leverages the latest neuroscience research to model data the same way … Read more[πŸ”Š Ep. 18] The Business Value of Showing the β€œWhy” in AI Models with Jana Eggers (CEO, Naralogics)

[πŸ”Š Ep. 17] John Cutler on Productizing Storytelling, Measuring What Matters, and Analytics Product Management

John Cutler is a Product Evangelist for Amplitude, an analytic platform that helps companies better understand users behavior, helping to grow their businesses. John focuses on user experience and evidence-driven product development by mixing and matching various methodologies to help teams deliver lasting outcomes for their customers. As a former UX researcher at AppFolio, a … Read more[πŸ”Š Ep. 17] John Cutler on Productizing Storytelling, Measuring What Matters, and Analytics Product Management

[πŸ”Š Ep. 16] Farming with Data: How Advanced Analytics are Transforming the Agriculture Industry with Dinu Ajikutra

Today we are joined by Dinu Ajikutira, VP of Product at CiBO Technologies. CiBO Technologies was founded in 2015. It was created to provide an objective, scientifically-driven insights in support of farmland economics. Dinu is currently leading an effort to productize what I found to be some very impressive analytically-driven simulation capabilities to help farmers … Read more[πŸ”Š Ep. 16] Farming with Data: How Advanced Analytics are Transforming the Agriculture Industry with Dinu Ajikutra

015 – Opportunities and Challenges When Designing IoT Analytics Experiences for the Industrial & Manufacturing Industries with CEO Bill Bither

Bill Bither, CEO and Co-Founder of MachineMetrics, is a serial software entrepreneur and a manufacturing technology leader. He founded and bootstrapped Atalasoft to image-enable web applications which led to a successful exit in 2011 to Kofax. In 2014, he co-founded MachineMetrics to bring visibility and predictability to the manufacturing floor with an Industrial IoT analytics … Read more015 – Opportunities and Challenges When Designing IoT Analytics Experiences for the Industrial & Manufacturing Industries with CEO Bill Bither

014 – How Worthington Industries Makes Predictive Analytics Useful from the Steel Mill Floor to the Corner Office with Dr. Stephen Bartos

Dr. Stephen Bartos, Manager of Predictive Analytics at Worthington Industries

Today we are joined by the analytics β€œman of steel,” Steve Bartos, the Manager of the Predictive Analytics team in the steel processing division at Worthington Industries. πŸ˜‰ At Worthington, Steve is tasked with strategically driving impactful analytics wider and deeper across the division and, as part of this effort, helps ensure an educated, supported, … Read more014 – How Worthington Industries Makes Predictive Analytics Useful from the Steel Mill Floor to the Corner Office with Dr. Stephen Bartos

013 – Paul Mattal (Dir. of Network Systems, Akamai) on designing decision support tools and analytics services for the largest CDN on the web

Paul Mattal, Director of Network Systems at Akamai

Paul Mattal is the Director of Network Systems at Akamai, one of the largest content delivery networks in the U.S. Akamai is a major part of the backbone of the internet and on today’s episode, Paul is going to talk about the massive amount of telemetry that comes into Akamai and the various decision support … Read more013 – Paul Mattal (Dir. of Network Systems, Akamai) on designing decision support tools and analytics services for the largest CDN on the web

012 – Dr. Andrey Sharapov (Data Scientist, Lidl) on explainable AI and demystifying predictions from machine learning models for better user experience

Dr. Andrey Sharapov, Senior Data Scientist and Machine Learning Engineer @ Lidl

Dr. Andrey Sharapov is a senior data scientist and machine learning engineer at Lidl. He is currently working on various projects related to machine learning and data product development including analytical planning tools that help with business issues such as stocking and purchasing. Previously, he spent 2 years at Xaxis and he led data science … Read more012 – Dr. Andrey Sharapov (Data Scientist, Lidl) on explainable AI and demystifying predictions from machine learning models for better user experience