Data Council '23

Thanks to everyone who attended in 2023! Join us for our next IRL event March 26-28, 2024 in Austin.
Early Bird
Data Council Austin-23-1
Get ready for our only conference of 2023. Join us to learn, exchange ideas and network with the best technical minds building the future of data.
3 Days
90 speakers
800 attendees

What's New

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More Days
Data Council now spans 3 full days, with more time for amazing talks, speaker office hours and the best hallway track you’ve ever seen.
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Cutting-Edge AI Tech
Hear from the top companies & startups pushing the boundaries of AI who are building and harnessing models like GPT-3, Stable Diffusion and DALL-E to solve real-world problems.
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Expanded Content
Learn about the topics and themes in data infrastructure that matter. We span topics across data engineering, ML tooling, analytics, and AI that are applicable to any size company striving to be data-driven.
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Inspiring Community
Ok, that’s not new, but Data Council consistently attracts the best and brightest minds of data. Network with startups, find your dream job, discover new OSS, chat with investors and be inspired by our amazing, geeky attendees.
Join your tribe. Our attendees are founders, data scientists, lead engineers, CTOs, Heads of Data, investors and community organizers building the future of data.
Watch 2023 Talks
Catch up on the amazing technical talks you may have missed.
All
Data Eng & Infrastructure
Data Sci & Algos
ML OPs & Platforms
Analytics
Data Streaming
Applied & Generative AI
Building Data Products
Community & Culture
Lightning Talks
Workshops
Keynotes
Tino Tereshko
Data Warehouses are Gilded Cages. What Comes Next?
Tino Tereshko
Co-Founder & VP, Product
MotherDuck
Co-Founder & VP, Product, MotherDuck
DJ Patil
The things I wish I knew -- What I've gotten right and wrong from startups to the White House, and the world ahead
DJ Patil
Former U.S Chief Data Scientist
Former U.S Chief Data Scientist,
Dr. Nile Wilson
Writing Unit Tests for Data Science Code
Dr. Nile Wilson
Senior Data Scientist
Microsoft
Senior Data Scientist, Microsoft
Lloyd Tabb
Malloy - An Experimental Language for Data
Lloyd Tabb
Language Designer
Google
Language Designer, Google
Chad Sanderson
Data Contracts: Accountable Data Quality
Chad Sanderson
CEO
Gable.ai
CEO, Gable.ai
Jordan Tigani
Big Data is Dead
Jordan Tigani
Founder & CEO
MotherDuck
Founder & CEO, MotherDuck
J.J. Allaire
Publishing Jupyter Notebooks with Quarto
J.J. Allaire
CEO
Posit / RStudio
CEO, Posit / RStudio
Julia Schottenstein
Hot or Not? Trends & Buzzwords in Data
Julia Schottenstein
Product
dbt Labs
Product, dbt Labs
Frank McSherry
How to Build a Streaming Database in Three Challenging Steps
Frank McSherry
Chief Scientist
Materialize
Chief Scientist, Materialize
Shirshanka Das
Building a Control Plane for Data
Shirshanka Das
Co-Founder and CEO
Acryl Data
Co-Founder and CEO, Acryl Data
Julien Le Dem
Ten years of building open source standards: From Parquet to Arrow to OpenLineage
Julien Le Dem
Open Lineage Project Lead
LFAI & Data
Open Lineage Project Lead, LFAI & Data
Maddie Schults
Conversation Simulator: A Real Life Case Leveraging OpenAI's API
Maddie Schults
General Manager
Crisis Text Line
General Manager, Crisis Text Line
Abhi Sivasailam
Designing and Building Metric Trees
Abhi Sivasailam
CEO/Founder
Levers Labs
CEO/Founder, Levers Labs
Elijah Ben Izzy
Scalable and Sustainable Feature Engineering with Hamilton
Elijah Ben Izzy
CTO/Co-founder
DAGWorks Inc.
CTO/Co-founder, DAGWorks Inc.
Idan Gazit
Designing for Intelligence at GitHub Next: Patterns and Practices for Making AI-powered Products
Idan Gazit
Senior Director of Research, GitHub Next
GitHub
Senior Director of Research, GitHub Next, GitHub
Idan Gazit
AI - The Future is Now
Idan Gazit
Senior Director of Research, GitHub Next
GitHub
Senior Director of Research, GitHub Next, GitHub
DeVaris Brown
Creating Self Service, High Velocity Data Cultures
DeVaris Brown
CEO
Meroxa
CEO, Meroxa
Sarah Nagy
Generative AI and the Natural Language Interface for Data
Sarah Nagy
CEO
Seek AI
CEO, Seek AI
Erik Bernhardsson
Creating our own Kubernetes and Docker to run our data infrastructure
Erik Bernhardsson
Founder
Modal Labs
Founder, Modal Labs
Matt Fuller
Building an Open Data Lake House Using Trino and Apache Iceberg
Matt Fuller
Co-Founder & VP, Product
Starburst
Co-Founder & VP, Product , Starburst
Katrina Riehl
Behind the Curtain: What it Takes to Support the World's Most Popular Open Source Communities
Katrina Riehl
President of Board of Directors
NumFOCUS
President of Board of Directors, NumFOCUS
Tristan Zajonc
Generative AI for Product Builders
Tristan Zajonc
CEO & Co-Founder
Continual
CEO & Co-Founder, Continual
Julian Hyde
Cubing and Metrics in SQL, oh my!
Julian Hyde
Senior Staff Engineer
Google
Senior Staff Engineer, Google
Wesley Faulkner
Creating the Right Developer Community for Your Company
Wesley Faulkner
Sr Community Manager
AWS
Sr Community Manager, AWS
Timothy Chan
Scaling Experimentation to 20 Billion Users
Timothy Chan
Head of Data
Statsig
Head of Data, Statsig
Gunnar Morling
Change Data Streaming Patterns With Debezium & Apache Flink
Gunnar Morling
Senior Staff Software Engineer
Decodable
Senior Staff Software Engineer, Decodable
Gunnar Morling
ETL with Change Data Capture in 30 Minutes
Gunnar Morling
Senior Staff Software Engineer
Decodable
Senior Staff Software Engineer, Decodable
Emma Tang
The Road to Exceptional Data Correctness
Emma Tang
prev Engineering Manager at Stripe
prev Engineering Manager at Stripe,
Katie Hindson
Data Products Aren't Just for Data Teams!
Katie Hindson
Head of Product & Data
Lightdash
Head of Product & Data, Lightdash
Hamel Husain
Innovating on Software Development
Hamel Husain
Entrepreneur in Residence
Fast AI
Entrepreneur in Residence, Fast AI
Alice Leach
Extreme Self-Service: Turning Data Consumers into Data Constructors
Alice Leach
Data Engineer
Whatnot
Data Engineer, Whatnot
Ayush Patel
Evolving AI Laws and the Imperative to Build Safe, Compliant, and Risk-proof AI
Ayush Patel
Founder
Censius
Founder, Censius
Gaurav Rao
A New Era of Applied AI: How to Accelerate Enterprise Adoption of AI for Business Impact
Gaurav Rao
EVP & GM Machine Learning and AI
AtScale
EVP & GM Machine Learning and AI, AtScale
Yupeng Fu
Scaling Uber Metric System from Elasticsearch to Pinot
Yupeng Fu
Principal Software Engineer
Uber
Principal Software Engineer, Uber
Pardis Noorzad
The state of cross-company data exchange
Pardis Noorzad
CEO
General Folders
CEO, General Folders
Leigh Marie Braswell
How Investors Think About Data
Leigh Marie Braswell
Principal
Founders Fund
Principal, Founders Fund
Katie Bauer
Building a Business Review Program from Scratch
Katie Bauer
Head of Data
GlossGenius
Head of Data, GlossGenius
Greg Johnson
Building a Business Review Program from Scratch
Greg Johnson
Head of Business Analytics
GlossGenius
Head of Business Analytics, GlossGenius
Mady Mantha
This App Ends Tantrums: How ML, NLP, and Five Minutes of Playtime Help Parents, Caregivers, and Children Enjoy Life Together
Mady Mantha
Co-Founder & CTO
Happypillar
Co-Founder & CTO, Happypillar
Emily Curtin
Extinguishing the Garbage Fire of ML Testing
Emily Curtin
Staff MLOps Engineer
Intuit Mailchimp
Staff MLOps Engineer, Intuit Mailchimp
Aaron Richter, PhD
A deep dive into the dbt manifest
Aaron Richter, PhD
Lead Data Engineer
formerly Squarespace
Lead Data Engineer, formerly Squarespace
Noelle Saldana
Hot Takes and Tragic Mistakes: How (not) to Integrate Data People in Your App Dev Team Workflows
Noelle Saldana
Director of Product Management, Data Science & Analytics
Director of Product Management, Data Science & Analytics,
Fedor Zhdanov
How to Ensure Your Model Does Not Drift? From Human-In-The-Loop Concept to Building Fully Adaptive Ml Models Using Crowdsourcing
Fedor Zhdanov
Head of AI
Toloka
Head of AI, Toloka
D. Sivakumar
Generative AI for Search
D. Sivakumar
Co-Founder & CEO
Tonita
Co-Founder & CEO, Tonita
Jules Damji
HuggingFace + Ray AIR Integration: A Python Developer’s Guide to Scaling Transformers
Jules Damji
Lead Developer Advocate
Anyscale
Lead Developer Advocate, Anyscale
Thomas Mickley-Doyle
How Vercel Builds Dozens of Metrics from One Heterogenous Table
Thomas Mickley-Doyle
Lead, Analytics and Data Science
Vercel
Lead, Analytics and Data Science, Vercel
Timo Walther
CDC Stream Processing with Apache Flink
Timo Walther
Principal Software Engineer @ Confluent, PMC @ Apache Flink
Confluent
Principal Software Engineer @ Confluent, PMC @ Apache Flink, Confluent
Robert Yi
How to Be a 10x Analyst
Robert Yi
Chief Product Officer
Hyperquery
Chief Product Officer, Hyperquery
Aaron Wroblewski
The Data Infra Behind Zillow's 3x Growth in Experiment Volume
Aaron Wroblewski
Senior Manager, Machine Learning Engineering & Science
Zillow
Senior Manager, Machine Learning Engineering & Science, Zillow
Margi Dubal
How Freewheel Processes Billions of Ad-tech Events in Real-time
Margi Dubal
Director, Data Engineering
Freewheel
Director, Data Engineering, Freewheel
Curtis Northcutt
Automatically Fix Data Issues & Label Errors in Most ML Datasets
Curtis Northcutt
CEO
Cleanlab
CEO, Cleanlab
Ahmad Khan
Train, Deploy, and Run a ML model using Python, Snowpark and Streamlit
Ahmad Khan
Head of AI/ML Strategy
Snowflake
Head of AI/ML Strategy, Snowflake
Daniel Myers
The Story of DevRel at Snowflake: How We Got Here
Daniel Myers
Developer Relations
Snowflake
Developer Relations, Snowflake
Shir Chorev
Why People Started Testing Their Models and Data in CI / CD Pipelines
Shir Chorev
Co-Founder & CTO
Deepchecks
Co-Founder & CTO, Deepchecks
Ian Schweer
MLOps for League of Legends - Heimerdinger Toolbelt
Ian Schweer
Software Engineer
Riot Games
Software Engineer, Riot Games
Nan Ding
Scaling Uber Metric System from Elasticsearch to Pinot
Nan Ding
Staff Engineer
Uber
Staff Engineer, Uber
Felipe Hoffa
The Story of DevRel at Snowflake: How We Got Here
Felipe Hoffa
Data Cloud Advocate
Snowflake
Data Cloud Advocate, Snowflake
Mikiko Bazeley
The Fun-Sized MLOps Stack from Scratch
Mikiko Bazeley
Head of MLOps
Featureform
Head of MLOps, Featureform
Alex Merced
Experiencing Data as Code with Dremio Arctic and Apache Iceberg
Alex Merced
Developer Advocate
Dremio
Developer Advocate, Dremio
Lauren Reeder
How Investors Think About Data
Lauren Reeder
Partner
Sequoia
Partner, Sequoia
Ben Rogojan
What I Don’t Want To Exist In The Data World In 5 Years
Ben Rogojan
Principal Consultant And Owner Of Seattle Data Guy
Seattle Data Guy
Principal Consultant And Owner Of Seattle Data Guy, Seattle Data Guy
Daniel Selans
Real-time Schema Discovery
Daniel Selans
Co-founder & CTO
Streamdal
Co-founder & CTO, Streamdal
Vino Duraisamy
Building an ML Experimentation Platform for Easy Reproducibility
Vino Duraisamy
Data Engineer, lakeFS Advocate
Treeverse
Data Engineer, lakeFS Advocate, Treeverse
David Wilson
Latency is the Mind Killer: it’s Time to Reimagine Data Interactions
David Wilson
Founder & CEO
Hunch
Founder & CEO, Hunch
Ian Whitestone
The Missing Manual: Everything you need to know about Snowflake optimization
Ian Whitestone
Co-Founder
SELECT
Co-Founder, SELECT
Peter Lenz
Everything I Know About Data Science I Learned From Model Railroading
Peter Lenz
Vice President of Data Science
Near
Vice President of Data Science, Near
Max Mergenthaler
Hierarchical Forecasting in Python
Max Mergenthaler
CEO & Co-Founder
Nixtla
CEO & Co-Founder, Nixtla
Niall Woodward
The Missing Manual: Everything you need to know about Snowflake optimization
Niall Woodward
Co-Founder
SELECT
Co-Founder, SELECT
Sophia Yang
How to Interpret & Explain Your Black-Box Models
Sophia Yang
Senior Data Scientist
Anaconda
Senior Data Scientist, Anaconda
Dan Eisenberg
DataOps for Business Intelligence: How "Dashboards as Code" Can Help You Develop and Validate Your Analytics
Dan Eisenberg
VP of Technology
Hashboard (formerly Glean)
VP of Technology, Hashboard (formerly Glean)
Mark Grover
Feed The Alligators With the Lights On: How Data Engineers Can See Who Really Uses Data
Mark Grover
CEO & Co-Founder
Stemma
CEO & Co-Founder, Stemma
Jean-Pierre  Trou
Building a better world with AI, one architectural drawing at a time
Jean-Pierre Trou
CEO
mbue
CEO, mbue
Matt Forrest
Using Spatial Indexes to perform geospatial analytics at massive scale
Matt Forrest
VP of Spatial Data Science
Carto
VP of Spatial Data Science, Carto
Dean Pleban
ML in Production – What Does “Production” Even Mean?
Dean Pleban
Co-Founder & CEO
Dagshub
Co-Founder & CEO, Dagshub
Erik Edelmann
How to Make Marketing Fall In Love with Data Modeling
Erik Edelmann
Data + Advocacy
Hightouch
Data + Advocacy, Hightouch
Paul Logan
URGENT! Help these Pets Find Homes: Working Across Teams in DataHub
Paul Logan
Developer Relations Lead
Acryl Data
Developer Relations Lead, Acryl Data
Tom Nats
Building an Open Data Lake House Using Trino and Apache Iceberg
Tom Nats
Director Customer Solutions
Starburst
Director Customer Solutions , Starburst
Prateek Chawla
The First Data Hire’s Guide to the Modern Data Stack
Prateek Chawla
Principal Engineer & Founding Engineer
Monte Carlo
Principal Engineer & Founding Engineer , Monte Carlo
Zachary Klein
Data Contracts in the Modern Data Stack
Zachary Klein
Software Engineer, Machine Learning & Data Platforms
Whatnot
Software Engineer, Machine Learning & Data Platforms, Whatnot
Maggie Hays
URGENT! Help these Pets Find Homes: Working Across Teams in DataHub
Maggie Hays
Founding Community Product Manager of DataHub
Acryl Data
Founding Community Product Manager of DataHub, Acryl Data
Maggie Hays
Teamwork Makes the (Open Source) Dream Work: the Power of Cross-community Collaboration
Maggie Hays
Founding Community Product Manager of DataHub
Acryl Data
Founding Community Product Manager of DataHub, Acryl Data
Taylor Murphy
From 1 to IPO: Growing the Data Team and Data Culture at GitLab
Taylor Murphy
Head of Product and Data
Meltano
Head of Product and Data, Meltano
Mateo García, PhD
Conversation Simulator: A Real Life Case Leveraging OpenAI's API
Mateo García, PhD
Lead Data Scientist
Crisis Text Line
Lead Data Scientist, Crisis Text Line
Jeffrey Chou
How to Optimize Apache Spark Cloud Clusters for Cost and Runtime Goals with Sync Computing
Jeffrey Chou
Co-Founder & CEO
Sync Computing
Co-Founder & CEO, Sync Computing
Ahmed Elsamadisi
How to End the Long-tail of Most Data Requests?
Ahmed Elsamadisi
Founder & CEO
Narrator
Founder & CEO, Narrator
Alec Bialosky
Modern Data Management - How to Set Your Data Team Up for Success
Alec Bialosky
Business Operations
Select Star
Business Operations, Select Star
Ivan Aguilar
Continuous Data Pipeline for Real-time Benchmarking & Data Set Augmentation
Ivan Aguilar
Senior Data Scientist
Teleskope
Senior Data Scientist, Teleskope
Meredith Adler
How to Make Marketing Fall In Love with Data Modeling
Meredith Adler
Data Advocate / Data Engineer
Hightouch
Data Advocate / Data Engineer, Hightouch
Kyle Kirwan
Incident Management for Data People
Kyle Kirwan
Co-Founder & CEO
Bigeye
Co-Founder & CEO, Bigeye
Kyle Eaton
Teamwork Makes the (Open Source) Dream Work: the Power of Cross-community Collaboration
Kyle Eaton
Growth Lead
Great Expectations
Growth Lead, Great Expectations
George Mathew
AI - The Future is Now
George Mathew
Managing Director
Insight Partners
Managing Director , Insight Partners
Matthew Topol
Making Moves with Arrow Data: Introducing Arrow Database Connectivity (ADBC)
Matthew Topol
Staff Software Engineer
Voltron Data
Staff Software Engineer, Voltron Data
Ron Green
Building a better world with AI, one architectural drawing at a time
Ron Green
CTO
mbue
CTO, mbue
Antoni Baum
HuggingFace + Ray AIR Integration: A Python Developer’s Guide to Scaling Transformers
Antoni Baum
Software Engineer
Anyscale Inc
Software Engineer, Anyscale Inc
Yaniv Ben Hemo
Govern Your Data Clients - the Right Way to Scale
Yaniv Ben Hemo
Co-Founder & CEO
Memphis
Co-Founder & CEO, Memphis
Eric Jones
Achieve Better Data Quality with Data Warehouse Observability
Eric Jones
Data Solution Architect
Databand
Data Solution Architect, Databand
Kartik Nagappa
How to Optimize Apache Spark Cloud Clusters for Cost and Runtime Goals with Sync Computing
Kartik Nagappa
Staff Product Manager
Sync Computing
Staff Product Manager, Sync Computing
Zander Matheson
Getting Real(-Time): When to move from Batch to Streaming (and how to do it without hiring an entirely new team)
Zander Matheson
CEO
Bytewax
CEO, Bytewax
Rick Saporta
Data Product Success: Aligning with Data's Core Purpose - A Framework for Data Product Management for Increasing Adoption & User Love
Rick Saporta
SVP of Data
Entera
SVP of Data, Entera
Matt Housley
The End of History? Convergence of Batch and Realtime Data Technologies
Matt Housley
Co-Founder
Ternary Data
Co-Founder, Ternary Data
Pavel Tiunov
An Open Semantic Layer with Cube
Pavel Tiunov
CTO & Co-Founder
Cube Dev
CTO & Co-Founder , Cube Dev
Kurt Steckel
Like Legos, but better: An interactive workshop on the building blocks of user segmentation with reverse ETL
Kurt Steckel
Senior Customer Data Architect
Census
Senior Customer Data Architect, Census
Paul Blankley
LLM’s & Semantic Layer: Self-serve has Entered the Chat
Paul Blankley
Co-founder & CTO
Zenlytic
Co-founder & CTO, Zenlytic
Dennis Hume
Streaming Analytics with dbt: The Fun Parts
Dennis Hume
Senior DevEx Engineer
Materialize
Senior DevEx Engineer, Materialize
Gregory Larson
AI - The Future is Now
Gregory Larson
VP Engineering
Jasper
VP Engineering, Jasper
Drew Banin
Hot or Not? Trends & Buzzwords in Data
Drew Banin
Co-founder
dbt Labs
Co-founder, dbt Labs
Barry McCardel
AI - The Future is Now
Barry McCardel
Co-Founder & CEO
Hex
Co-Founder & CEO, Hex
Barry McCardel
Hot or Not? Trends & Buzzwords in Data
Barry McCardel
Co-Founder & CEO
Hex
Co-Founder & CEO, Hex
Sean Owen
AI - The Future is Now
Sean Owen
Principal Specialist for Data Science and ML
Databricks
Principal Specialist for Data Science and ML, Databricks
Pedram Navid
Hot or Not? Trends & Buzzwords in Data
Pedram Navid
Founder
West Marin Data
Founder, West Marin Data
more speakers to be announced soon ...
View all
Track Hosts
A big thank you to our expert practitioners and guides
Stay tuned, we'll publish the schedule soon!
About Our Tracks
01 Data Eng & Infrastructure

Data Engineering & Infrastructure focuses on modern data engineering workflows, storage systems, design patterns and more. Themes in this track are centered around the most important pieces of the data pipeline workflow: data-ops, data quality, ingest & ETL/ELT, monitoring, metadata and other issues pertaining to the modern data stack.

02 Data Sci & Algos

The Data Science & Algorithms track is focused on helping data science professionals be more effective in their role. We discuss helpful algorithms, modern research and data science frameworks & methodologies that can be useful in data science functions across the enterprise.

03 ML OPs & Platforms

This track focuses on the engineering behind existing and novel machine learning systems, frameworks and tooling. You’ll learn about topics such as data preparation, feature engineering, model quality & monitoring, ml-ops, and best practices in generalizing ML workflows.

04 Analytics

The Analytics track focuses on tools and techniques for data analysts, covering topics such as Business Intelligence (BI), customer analytics, A/B testing and data visualization. You’ll learn about how top teams are solving their analytics challenges and discover the best new tools in the process.

05 Data Streaming

This track looks at various tooling used to build real time applications and the underlying data infrastructure that supports the movement of data to computation. Examples of talks include case studies on how applications use messaging systems, how applications maintain consistency and correctness while ingesting large amounts of data, and computational frameworks for processing streaming data with low latency.

06 Applied & Generative AI

The Applied AI track demonstrates the intersection of applied deep learning methods in product form. It covers topics such as Large Language/Transformer Models, generative AI, product-based implementations of new research methods and exciting new features powered by machine learning inside products.

07 Building Data Products

In the modern data era, teaching companies how to harness the power of data inside their products presents new challenges for product managers. Come to this track to better understand how top teams are executing full-stack product development of data-oriented products. You’ll learn how to tool your team to work effectively with your own data engineering and science teams as you build the data-oriented products of the future.

08 Data Culture & Community

A brand-new track at Data Council this year, Data Culture & Community is a place for Data Leaders and Community Managers to share stories and insights on how they have built vibrant, cross-functional, and collaborative spaces for data practitioners, developers, and beyond. Whether you are building a data team from scratch, establishing a strong data culture within your organization, or rallying a global network of developers around your software, you’ll have plenty to learn from our speakers who have done it all.

09 Lightning Talks

The Lightning Talks track is composed of 15min, bite-size sessions from various startups sharing lessons learned & best practices of their fast-growing companies. You can learn about new tools & approaches that startups use, cutting-edge open source projects, and data teams' lessons learned from supporting their company growth.

10 Workshops

This two-day track is dedicated to peer-led workshops, provided for free. Participants try out the latest products alongside their creators, get hands on experience with innovative tools, and meet some of the most talented builders in our industry.

Venue Details
We can't wait to get the community together IRL - you won't be able to attend online. 

When:
March 28th - 30th, 2023

Time: 8am - 5pm (each day)
Where: AT&T Hotel & Conference Center

 🥳 Data Community Party
When: March 28th @ 5:30pm - 7:30pm
(for attendees only)

🗺️ Check out our Austin Map

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We 💜 teams at Data Council
Bring your squad to Austin and make it a team offsite to remember. Austin's amazing food, music and sights are the perfect backdrop for a little inspiration.

Plus, when you buy 3 tickets, we'll add a 4th from us :)

Buying 5+ tickets? Drop us a line at community@datacouncil.ai for special group rates.


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A big thank you to our 2023 partners & sponsors who help Data Council remain the world’s largest independent full-stack data conference.
Founder & Chair
pete
Pete Soderling is the founder of Data Council and the Data Community Fund. As a former software engineer, repeat founder and investor in more than 70 data-oriented startups, Pete’s lifetime goal is to help 10,000 engineers start successful companies. Most importantly, Pete is a community builder — from his earliest days of working with the data engineering community starting in 2013, he has witnessed the unique power of specialized networks to bring inspiration, knowledge and support to technical professionals.