Meet:  Ankur Goyal is the co-founder and CEO of Impira. previously built and scaled the engineering team at MemSQL as employee #2 and VP of Engineering. Ankur received his B.S. in Computer Science at Carnegie Mellon's School of Computer Science. He also holds several patents in database technology.

What you’ll learn:

Extracting more value out of documents

Helping companies automate their paper processes to digital

Getting an AI project into production and the related ROI

Talking about a new feature that allows someone to extract information from any doc through the UI

If you would like to reach out to Ankur about anything he discussed on the podcast, please reach out to him via:

https://twitter.com/ankrgyl?lang=en

https://twitter.com/impirahq

https://www.linkedin.com/in/ankrgyl/

Meet:

Ash Berlin-Taylor is an active committer and member of the PMC for Apache Airflow and Director of Airflow Engineering team at astronomer.io. Before getting involved with Airflow he spent many years working in (web) infrastructure

Kaxil Naik is currently the Committer, PMC Member, and Release Manager of Apache Airflow. He is also the Manager of Airflow Engineering team @ Astronomer. He did his Masters in Data Science & Analytics from Royal Holloway, University of London.

What you’ll learn:

Major features in the upcoming Airflow 2 release

Upgrade path and compatibility

What the team might be working on in future releases

Learn more about the upcoming release: https://www.astronomer.io/blog/introducing-airflow-2-0

If you would like to reach out to Ash or Kaxil about anything they discussed on the podcast, please reach out to them via:

https://twitter.com/kaxil

https://www.linkedin.com/in/kaxil/

https://twitter.com/ashberlin

Meet:  Mike Bennett, Director of Enterprise Digital Farming at Climate Corp - Bayer Crop Science.  Responsible for Enterprise data governance and new business models.

What you’ll learn:

Mentoring vs coaching

Leadership through influence

Importance of messaging and tone

If you would like to reach out to Mike about anything he discussed on the podcast, please reach out to him via:

https://www.linkedin.com/in/michaelsbennett

https://twitter.com/MikeSBennett

Meet: Doug Puett is the Head of Data Science at UserTesting. UserTesting has the world’s greatest data source on how user research is done. Prior to joining UserTesting, Doug worked at a startup that was acquired by LinkedIn. He has an MS degree from Columbia and a Bachelor’s from Cornell.

What you’ll learn:

Getting the feedback cycle started early

Having a deep interest in product

Matrixed embedded data science teams

If you have any questions for Doug, please feel free to reach out to him via LinkedIn:

https://www.linkedin.com/in/dougpuett/

Meet:  Marian manages the Experiments and Optimization team at Zymergen. She spent the last ten years building data science solutions for problems in remote sensing, epidemic modeling, weather science, ag-tech, and now in synthetic biology.

What you’ll learn:

Taking advantage of innovation

Relationships with science and product teams

Advice if you want to get into data science

If you would like to get in touch with Marian regarding anything discussed on this episode, please connect via:

https://twitter.com/bayesiangirl

Meet: Xin Heng is currently the VP/Head of Data at Punchh. Before joining Punchh, he was the Head of Data Science at StubHub and a Data Science Manager at Uber. He has his Ph.D. in Applied Physics, Electrical Engineering from Caltech.

What you’ll learn:

Machine Learning Software Development - the differences between building ML software for B2B and B2C companies

The Value of AI - predictivity vs interpretability

Building an AI team - from the right leader and to core team members

If you would like to connect with Xin - https://www.linkedin.com/in/xin-heng-8781302/

Meet:  Arkadiy is Head of Application & Infrastructure Security at Chime. He is passionate about all forms of digital harm reduction, ranging from technical, to policy & legal, to security management & leadership.

What you’ll learn:

Establishing a security champion and culture

Developers make for great security engineers

Learning lessons from launching his own product

If you would like to reach out to Arkadiy about anything he discussed on the podcast, please reach out to him via Twitter:

Meet:  Rick Medina is a security practitioner, OSINT junkie, button pusher, and checkbox un-checker

What you’ll learn:

Dealing with Covid’s impact on security within the retail space

Security becoming more agile

If you would like to get in touch with Rick regarding anything discussed on this episode, please connect via:

https://www.linkedin.com/in/ricardomedinajr/

Meet: Kyle is a CISO and VP, Security, Privacy, and Compliance. He has 18 years of establishing, growing, and leading Security and Software Engineering Teams that built security in consumer, enterprise, and SaaS software products.

What you’ll learn:

Bootstrapping a security program

Security policy as code

Starting point to move to shift security left

If you have any questions for Kyle, please feel free to reach out to him via LinkedIn:

https://www.linkedin.com/in/kylerandolph/

Meet:  Ken is the data engineering manager at Alto Pharmacy - which offers free, same-day medication delivery to customers.   Alto's data engineering team supports the entire business with a large focus on improving the logistical efficiency of the organization.

Ken's career has focused on data engineering in which he has held a variety of roles in management,  data engineering, and data architecture roles, and worked as both an employee and consultant.   Ken feels that data engineering is a specialization of software engineering - and benefits from many of the same process innovations - around testing, agile, DevOps, and dataops methodologies.

What you’ll learn:

What does a modern data warehousing solution look like

Data engineering shift from GUI tools to software engineering

Data engineering viewed as specialized software engineering

If you would like to get in touch with Ken regarding anything discussed on this episode, please connect via:

https://www.linkedin.com/in/kenfar/