Data Leaders – Détails, épisodes et analyse

Ivy Nguyen shares insights on: 

1. Going beyond data - why data is NOT the new oil
2. Model-Market Fit vs. Product-Market Fit
3. Data Moat - a term she coined at Zetta Ventures - What does that mean and how can you build one.
4. AI product development strategy. A trifecta of:
   1. Performance Plateau
   2. Minimum Algorithm Performance
   3. 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. 

In this episode, I invite Swaroop "Kittu" Kolluri to share his thoughts on:

1. His decision making process around early stage VC Investments
2. AI Startups - How to develop an unfair advantage in your AI Startup
3. 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.

In this episode, Kevin Lyons shares his insights on:

1. Real-Time Audience Composition with AI
2. Hyper-Personalization - AI Driven Targeting meets AI Driven Content
3. 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 advanced math, which led him to the path of AI career.

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 MN, The Bush Foundation and Mu Performing Arts--to name a few."

Monicat Data also offers 'Data for Art' workshops to the Minneapolis/St. Paul in the efforts of educating artists and creative supporting organizations on the power of data organization and strategy implementation.

Jasmine has a background in marketing analytics and an MBA.

Cassie has a background in music, computer science, and art.

Both Jasmine and Cassie love working on data that makes people dream.

Fun fact about Jasmine & Cassie: Aside from running their data startup, Jasmine is an avid yogi and Cassie is an opera singer.

In this episode, Jarah Euston discusses:

1. How is Data Operations being redefined – 2015 Vs 2017 & Beyond
2. Top challenges most data-driven executives face when it comes to gaining insights from their data.
3. An opportunity that most data-driven organization are unaware of – this is going to be blow up in next couple of years
4. Entrepreneur / Executive Special Edition:
   1. How to achieve unstoppable momentum for your startup (whether you work in a scrappy startup environment or a large org, this applies to you!)
   2. How to get better at making presentations
   3. Women Tech Entrepreneurship: Challenges and Path to Success
5. 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 startup, winner of several startup awards, including Strata Hadoop and TechCrunch Disrupt.

Jarah has a background in Economics and an MBA from Wharton

To learn more about Jarah and Nexla, please visit nexla.com or reach out to Jarah “at” nexla.com

About Nexla:

Nexla automates DataOps so companies can quickly derive value from their data, with minimal engineering required.

Nexla’s secure platform runs in the cloud or on-premise. It allows business users to send, receive, transform, and monitor data in their preferred format via an easy to use web interface.

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:

1. Big opportunities at the intersection of AI and Psychology
2. Learn one way in which most AI experts, conferences, and workshops screw up
3. Women, AI, and Entrepreneurship: Some great learning lessons for most men in this field. I learned a ton from this discussion.
4. Future of chatbots, customer service, and AI 
5. Tons of personal stories, anecdotes, and inspiring soundbites to help you take your AI vocabulary to the next level!

References:

Turalt: www.turalt.com

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 understand the emotional dimensions of learning.

Chris has a passion for learning and brings over 15 years’ experience of working to improve learning in universities and the workplace. Her expertise includes educational technology, qualitative research, and a person-centred approach to training and personal development.

Her background in cognitive sciences and educational sector enables Chris to empathize with the challenges people face with workplace communication and to research and develop targeted solutions to deliver real impact in the workplace.

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:

1. IOT and Deep Learning: How do they fuel each other
2. Product Teams - Listen up to this one - Prateek shares his core idea on when to use AI and when to run away from it...
3. Prateek's personal journey on what led him to create Pluto AI. 
4. Several other entertaining/informative insights!

As always, I hope you enjoy listening to this much as much I enjoy creating it!

In this episode, Rumman Chowdhury shares her insights on:

1. Enterprise AI - What exactly is it and the right way to think of it
2. Two key advantages Enterprise AI can provide to your organization 
3. Biggest barrier executive leaders face when it comes to Entreprise AI
4. Humanity and AI - Current AI models and flawed reality
5. How to create AI with Active Inclusion
6. Education as it stands today - how it's about to be revolutionized
7. And tons of other valuable insights...

I hope you enjoy listening to it as much as I enjoyed created it!

References: 

Rumman's Blog: http://www.rummanchowdhury.com/

Rumman's Twitter:  http://www.rummanchowdhury.com/ 

AI Education Startup https://www.accel.ai/

Studies Show Hosted by Rumman Chowdhury and Imran Siddiquee.

Rumman Chowdhury is an AI Authority working on cutting edge applications of Artificial Intelligence at Accenture. She also serves on the Board of Directors for several AI startups.

Rumman holds two undergraduate degrees from MIT, and a Masters in Quantitative Methods of Social Sciences from Columbia University. Rumman also has a PhD in Political Science from the University of California, San Diego.

Rumman has given several talks and tutorials, some of them include Intel Analytics Conference, Open Data Science Conference, Machine Learning Conference, Women Catalysts, PyBay, and Demystifying AI Conference.

In mainstream media, Rumman has been interviewed for the PHDivas podcast, German Public Television, and fashion line MM LaFleur. In 2017, Rumman has upcoming talks at the Global Artificial Intelligence Conference, at Strata + Hadoop San Jose, Southern Data Science Conference, and Strata + Hadoop London

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 Microsoft in 2008.

Lukas was featured in Inc. magazine's 30 Under 30 list. Lukas is also an expert-level Go player.

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.