Let's cut through the jargon, myths and nebulous world of data, machine learning and AI. Each week we'll be unpacking topics related to the world of data and AI with Jansen & Victor, the awarding winning founders of 1000ML. Whether you're in the data world already or looking to learn more about it, this podcast is for you.
Ask a pro - Barr Moses - CEO & Founder - Monte Carlo
How much does it cost your team in hours and dollars when one of your data jobs fails and you're running a report with inaccurate data? How do you REALLY know if all your daily data has been loaded properly? How long would it take to audit and fix?
Simply put, what happens when your data breaks?
This week on All Things Data we speak with Barr Moses the Founder and CEO of Monte Carlo. They've just closed a $16m round to solve data reliability through the concept of data down time.
Barr walks us through her time at the Israel Defense Force and her journey to the Bay area through Standford, Bain,working her way up through Gainsight and starting a company.
This week we'll cover:
- What the inspiration was to start Monte Carlo
- How the IDF help shaped her thinking
- Why is data reliability important?
- What is data downtime and why now?
- Leveraging customer success as a super power
- Hubspot's data jingle!
Ask a pro - Susan Shu Chang - Data Scientist - Clearbanc
Clearbanc is making waves in the VC world with their novel funding model and use of machine learning. We thought it was interesting to speak to Susan Shu Chang to see how data science is applied in the startup funding world.
We'll also be chatting about her journey from an Economics/Math major to RL (reinforcement learning) through her passion for gaming and how time management and prioritization has led her to get on the speaking circuit, writing a book, teaching, continue gaming and learning all while working full time!
Ask a pro - Peter Cheung - Director of Performance Marketing and Analytics - Mejuri
If you're interested in how digitally native companies use marketing analytics at scale, this episode is for you.
Peter Cheung, the Director of Performance Marketing and Analytics at Mejuri stops by this week to talk about how Mejuri's marketing team uses data to continually grow their community of fiercely loyal customers during COVID-19 and beyond.
Peter gives us a peek under the hood on what he's looking for in a data marketer, why insourcing is right for them and how he thinks a data marketing team should be built.
Ask a pro - Kenny Kwan - Sr Data Scientist - Tucows
Sr Data Scientist at Tucows, Kenny Kwan joins us this week to chat about why it's best to be a generalist when you're starting your data career.
This week we'll cover why it's important to be able to get data yourself, what does it mean to have "communication skills" (hint, it involves cannolis ) and how to advocate for yourself and your projects.
Kenny takes us through his story from leaving the Dominican Republic to pursue his PhD in the US and ending up as a data scientist in Toronto. Also, he's finally able become a Raptors fan this year because Kawhi isn't around.
Ask a pro - Fernando Nogueira PhD - Sr Data Scientist - Shopify
Sr Data Scientist at Shopify, Fernando Nogueira joins us this week to chat about what it's like to work a large data driven organization and his path to getting there.
We go through what it's like to be the first at Freshbooks in their growth stage, ChatKit as the first data resource on a 5 person team and then transitioning to large data science group. Fernando gives us a peek under the hood at how Shopify uses data and is built to last. We also cover marketing analytics, why it's important to work on your development skills and how he almost becoming quant twice!
Your Data Journey - The Data Education Episode
As an All Things Data Special Episode we combined forces with Dave Mathias from the Data Able Podcast to chat about Data Education.
- Where to start and where not to start your data journey
- Where you should be focusing your learning
- The spectrum of learning opportunities and how they fit into your data journey
- How does your domain experience fit into the equation
- Honing your craft with challenges like the 14 day Data Challenge from Tableau