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 https://www.linkedin.com/in/lkirch on LinkedIn or @lkonthego on twitter. For email fans, reach out to Lisa and learn more about her data science projects via email at lkirch@ischool.berkeley.edu

Lisa Kirch on Intersection of Data Science and Smart Home

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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. 

AI Product Development Framework

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. 

Early Stage AI Startups and Product Market Fit

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.  

Building a Data Startup

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, Inbound.org and Fortune. 

Grow Like Dropbox: Data Inspired Viral Marketing

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. 

Lisa Kirch on Intersection of Data Science and Smart Home

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