DC DATACON is here. Why now?

I am writing this post for two reasons. The first is to share with you why I am working with Data Community DC to produce DC DATACON. The second is to ask for your help to ensure we have the right people involved in the conversation so we accomplish our objectives. The stakes are high for our regional economy and for the future of Data Science.

If you are not familiar with Data Community DC, it is a network of over 20,000 data scientists and other data professionals in the DC region. Nine different meet-ups engage in a “program” throughout the year to address a diverse range of data science topics at locations across the region (namely DC and close-in NoVA). By going to any one of the meet-up sites (best accessed via the DC2 website), you can get information about all of these great events.

As I got more involved with Data Community DC as a Community Organizer with the founding and of the Full Stack Data Science meet-up (now 500+ data scientists strong) and later joining the Board of Directors, it became clear that something was missing. That was a unified conversation with all the meet-ups coming together to not only learn from one another but to create a larger conversation about the future of data science in the Mid-Atlantic region – led by data professionals.

DC DATACON is scheduled for October 3rd at The Marvin Center on the campus of George Washington University. Our registration site will be up soon. On the conference site, we will have all the information needed to register, sponsor and/or exhibit. DC DATACON certainly compliments other “new” forums taking on data-related topics. However, we are looking to accomplish something a little different. We aim to drive conversations about how to get data science out of the lab and into the enterprise so professionals of all makes and models can begin using data as a strategic asset. I believe the benefits to organizations large and small, public and private are well known so I don’t need to restate them here. What is not so obvious is HOW you actually do it. That’s DC DATACON; a focus on the applied tools, technologies, and methodologies that make data science work.

DC DATACON is also about defining our region’s “brand” of data science. What market sectors are we best suited to lead as data science becomes a more significant factor in the health and well-being of our regional economy. Another way of saying this is to put our stake in the ground for our areas of concentration to drive R&D, investment, workforce shaping, product development and so on. Think about, what region is top of mind when you mention the financial sector? As a data scientist, you would say NYC. For consumer applications, you think Silicon Valley. Not to say data scientists and businesses here in DC aren’t working in finance and consumer apps, but data science in DC will likely not be defined by either of these. Our focus, and what differentiates our region from others, are opportunities to lead and shape the future of intelligent transportation, autonomous air operations, cybersecurity, and bioinformatics for improved quality of care in addition to public policy, defense and intelligence. DC DATACON; a focus on our special concentration of the public and private sector organizations.

With that as context, I hope you will consider supporting the event on October 3rd by spreading the word and planning to join us on October 3rd. If you’re in a position to sponsor or exhibit, this is a chance to get really hands on. But, to the opening “ask” we want to make sure we have the right people involved. Therefore, I welcome any thoughts you have about who you believe are the leading people, companies and technologies in data science in our region (public, private, not for profit). If you take a look through the lens of transportation, cybersecurity, healthcare, defense, intelligence, and public policy, that would focus your response in a way to be particularly helpful.

You can respond to this post or message me privately with your thoughts. My e-mail is craigp@datacommunitydc.org. Thank you!

Your DC2 Agents

Click to contact a DC2 Agent

Click to contact a DC2 Agent

We're proud to introduce your new

Data Community DC Agents

In a city that is built on who you know, your DC2 Agents fit in perfectly. We are your access point to a growing network of 20,000 local data practitioners, focusing on helping our members find each other across our weekly events and generally keeping our members’ interests in mind. Here are some of the scenarios we work with:

  • Member: I’d like to get into deep learning.
  • Agent: We’re hosting a talk on deep learning Tuesday, have experts on our advisory board, and organize a workshop twice a month. Where would you like to start?

  • Member: I work in excel and would like to learn a little code, where do I start?

  • Agent: We have a number of educational partners and we host free mini-hacks. What’s your budget?

  • Member: My company just won a contract and we need to hire, can you help?

  • Agent: Our free events are filled with local talent, and if you need a little support we’d be happy to introduce you to one of our partners.

  • Member: We’d like to promote ourselves in the local data scene, and get to know the key players. How can DC2 help?

  • Agent: Our network of 20,000 data practitioners is growing every day and reaches 500+ people each month. Our Sponsorship Network and Organizers Program is regularly invited to private and invitation only events. Would you like to join us?

  • Member: I just finished my dissertation and would like to get involved in the community. Where do I start?

  • Agent: Perhaps you would you like to speak at one of our events or help organize?

In the 5 years of DC2’s existence one thing has been consistent: people attend our events looking for great people and opportunities in data science. We tried so many things over the years: hackathons, themed events, coordinated events, joint events, meetings, committees, titles, volunteers, debating, defining, electing, partnering, sponsoring, hiring... (deep breath) - let’s talk about what happened.

This is how I think of DC networking events, especially tech events:

Click to Contact a DC2 Agent

Click to Contact a DC2 Agent

Over the past 6 years we’ve perfected hosting events and mentoring new organizers, but it takes months and years to build relationships and find your friends and core network. Even then, we don’t know where people are in their lives, what they are looking for, all their unique skills, what they would like help with. With new relationships at events, we could be talking to exactly the right person, but in our 5 or 6 conversations during 45 minute networking session before the main event, will we get to our bottom lines and realize the person across from us is exactly who we’re looking for? Many people never have the chance to find out, and this is why we’ve created the DC2 Agents.

So the next time you’re looking to meet the right data practitioner, looking to build your data science team, looking to join a new team, looking to find a good mentor, looking for the right classes, looking to teach, volunteer, be a speaker, or anything else data, who ya gonna call?

TensorFlow's DC Introduction

The Hello, TensorFlow! post introducing the basic workings of the TensorFlow deep learning framework, up now in O'Reilly's Data, AI, and Learning sections, is a product of the local data community.

Aaron Schumacher, one of the Data Science DC organizers and an employee of Arlington-based Deep Learning Analytics, wrote the article with the support of many local reviewers, including feedback from members of the DC Machine Learning Journal Club.

Aaron will be giving a talk on the material of Hello, TensorFlow! on Wednesday June 29 as part of the Deep Dive into TensorFlow meetup to be hosted at Sapient in Arlington. It should be a great opportunity to explore and discuss this new and exciting tool!

Supervised Machine Learning with R Workshop on April 30th

Supervised Machine Learning with R Workshop on April 30th

Data Community DC and District Data Labs are hosting a Supervised Machine Learning with R workshop on Saturday April 30th. Come out and learn about R's capabilities for regression and classification, how to perform inference with these models, and how to use out-of-sample evaluation methods for your models!

Building Data Apps with Python Workshop Returns on February 6th!

Building Data Apps with Python Workshop Returns on February 6th!

Data Community DC and District Data Labs are hosting another session of their Building Data Apps with Python workshop on Saturday February 6th from 9am - 5pm. If you're interested in learning about the data science pipeline and how to build and end-to-end data product using Python, you won't want to miss it. Register before January 23rd for an early bird discount!