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Data Council Bangkok Data Engineering & Science hosts events where lead engineers & data scientists from pre-screened companies present talks on their projects for the benefit of the data community. Bangkok based companies are doing amazing things with data and we've created this event to help them showcase their work and help other engineers level up.

What you'll gain from this group:

• A better understanding of the best OS tools to use in building your own data infrastructure (pipelines, platforms, storage options, etc.)

• Real-world examples from top technical companies explaining the data platforms their engineers are building

• Applied data science talks that explain the minimum level of algorithmic understanding engineers should have to work better with their data science counterparts, or to become a Machine Learning Engineer-unicorn themselves

• Highly technical conversations with other attendees, and announcements of the best data events and opportunities in the Bangkok area

This group is an independently organized Data Council group and is sponsored by Data Council (https://www.datacouncil.ai (https://www.datacouncil.ai/)).

Other DataCouncil.ai Local Meetups can be found here:

https://www.datacouncil.ai/community

Upcoming events (2)

Data Council Singapore Conference 2019

Microsoft Operations

Data Council is where data's most influential makers, doers, and thinkers gather to shape the future of data innovation at every layer of the stack. If you’re a technical professional who wants to learn about new tools, architectures and best practices for understanding and analyzing data systems, you want to be here. Following successful events in SF, Barcelona and NYC, this first edition of Data Council Singapore 2019 will feature: - 2 days full of many insightful talks by leading data scientists, analysts & AI researchers from top companies like Facebook, Twitter, Microsoft, GO-JEK, Qubole, Canva and more; - Small group Speaker Office Hours following each talk with an opportunity to dive deeper into the subject matter with the speaker; - Attendees that are highly-technical data scientists, analysts & technical founders from top tech, media, and finance companies around Singapore and South-East Asia; - Extensive networking opportunities, including a chance to connect with our great partner companies at Partner Spotlight to discover their available data jobs and latest product developments. Grab your tickets now, with early bird tickets at S$499: https://www.datacouncil.ai/singapore

Leveling up Your Data Team: Secrets for Building Highly Effective Data Practices

ต้องการสถานที่

Is your company starting to build, or scaling out, its data team? This expert-led virtual meetup will answer many of the questions you have likely been asking yourself about the best way to structure and build your internal data team.; This special event will offer data science leaders and heads of engineering insights based on real-world experience from technical experts with extensive backgrounds in hiring & working with hundreds of data engineers, scientists and analysts in the U.S. *****This is an online meetup that will take place on July 23rd at 4pm CET. RSVPs on this page are closed to avoid confusion. Register here now to learn about the playbook your company should follow to build its data practice: https://www.datacouncil.ai/virtual-meetup You'll receive connection details before the event.***** The first part of the session will feature a discussion between Abe Gong (Founder of Superconductive) & Pete Soderling (Founder of Data Council) and will cover topics you should consider when starting your data practice, such as: *Staffing:* Which roles should you hire for first? What’s the difference between a data scientist and a data engineer?? What are common pitfalls to avoid? *Tools & Infrastructure:* What are some of the standard components in a modern data engineering architecture? How do these differ from enterprise systems from the past? Which pieces should your company build vs. buy? *Workflow:* How does a data team produce insights more efficiently? How does it scale? What are the trade-offs between building ad-hoc tools vs. fully automated systems? In the 2nd half of the session, we’ll open up the discussion to questions from attendees where our speakers will offer insights on their specific issues. Date: July 23rd at 4pm CET / 9pm UTC+7 RSVP here only: https://www.datacouncil.ai/virtual-meetup About Abe Gong: Abe Gong is the Founder and CEO at Superconductive, and a core contributor to the Great Expectations open source library. Prior to Superconductive, Abe was Chief Data Officer at Aspire Health, a founding member of the Jawbone data science team, and a lead data scientist at Massive Health. Abe has been leading teams using data and technology to solve problems in health care, consumer wellness, and public policy for over a decade. Abe earned his PhD at the University of Michigan in Public Policy, Political Science, and Complex Systems. He speaks and writes regularly on data, healthcare, and data ethics. About Pete Soderling: As a former software engineer, serial founder and investor in data-backed startups, Pete’s passion is in building valuable resources and community for data scientists, engineers, analysts and product managers. He is currently the founder & CEO of Data Council. Previously Pete founded Hakka Labs (a social network for software engineers), Stratus Security (an early cloud-based enterprise API platform) and mechanikal (a software development consultancy in NYC). A graduate of New York University, Pete has served as a mentor for 500 Startups, has been a TEDx, O’Reilly Strata and QCon speaker and has worked with technical founders across the globe. About Data Council: A global talent network for data professionals, Data Council has its finger on the pulse of data innovation at every layer of the stack. Its global meetups, conferences in the US, Europe & Asia and online community are where data's most influential makers, doers, and thinkers gather to learn about new tools, architectures and best practices for understanding and analyzing data systems.

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Core Data Technology from 2 of the Top Banks in Thailand

True Digital Park