Transp Data Summit Logo - TransparentDuring the 2018 Capital Data Summit’s  Spotlight on a Successful Local Big Data Firm and One of Its Local Venture Capital Investors panel, David Link, CEO of ScienceLogic, and Patrick Kerins, special partner, New Enterprise Associates, shared their unique insights into establishing and growing a successful big data firm in the Greater Washington region. Rodney Lusk, Director, National Marketing Division, Fairfax County Economic Development Authority, moderated.

Scroll below for full video from the panel!

Among the key points arising from the discussion:

  • Passion for solving a specific problem is inherent to launching any tech company; investors need to share in that passion
  • The Greater Washington region’s strong product areas in cybersecurity, biopharma and deep history in the roots of the Internet provide top opportunities for investing
  • Venture capital organizations enable startups to “see around the corner” and accelerate engagement with external stakeholders in a vital way

Full panel video:

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Big Data: A Vehicle for Value Creation

March 19th, 2018 | Posted by Alexa Magdalenski in Capital Data Summit - (Comments Off)

The second annual Capital Data Summit took place on Feb. 28, 2018 at The Ritz-Carlton, Tysons Corner. NVTC continues to share original content and video from the event.


Ruh v1Bill Ruh, CEO of GE Digital, and Senior Vice President and Chief Digital Officer at GE, opened the 2018 Capital Data Summit morning session with keynote remarks, discussing GE’s digital journey. Ruh highlighted how digitization is transforming business models across every industry, from automotive to industrial to telecommunications. He emphasized how digitization is driving new insights that enable companies to offer a more compelling user experience and deliver more value to customers.

Here are some other key themes that emerged from Ruh’s keynote:

  • The digital shift and embracing big data cannot move forward without a cultural shift in organizations. This requires strong investment in employees and that may mean upskilling current employees
  • Data rights will become exponentially important as the amount of big data and the demand for real-time insights expands; who owns the data?
  • Data analytics is a vehicle for value creation

Video full video from Ruh’s remarks below:

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2018 Capital Data Summit: AWS Keynote

March 15th, 2018 | Posted by Alexa Magdalenski in Capital Data Summit - (Comments Off)

The second annual NVTC Capital Data Summit took place on Feb. 28, 2018 at The Ritz-Carlton, Tysons Corner. The Summit’s second keynote was provided by Alan Halachmi, Senior Manager, Solutions Architecture, Amazon Web Services, and Ben Snively, Principal Solution Architect, Data and Analytics, Amazon Web Services.

Halamachi discussed the rapid growth of the big data ecosystem through connected devices, cloud computing and more, and shared how organizations must have strong metadata management and accessibility in order to fully leverage real-time data insights. Snively shared how Amazon Web Services’ analytics solutions in artificial intelligence and deep learning are being put into practice to serve a variety of customers and causes. Snively highlighted the radical shift today in how people are interacting directly with systems, creating more data than ever, and driving demand for rapid insights at the edge.

View full video from AWS’ keynote below!

Snively v1 Halachmi v1

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The second annual Capital Data Summit took place on Feb. 28, 2018 at The Ritz-Carlton, Tysons Corner. Over the upcoming weeks, we’ll be sharing original content, video and photos from the event.


Advanced Analytics panelArtificial intelligence (AI) and advanced analytics are transforming every field today and solving real world problems in energy management, home-care, crime reduction, and more. The Summit’s Opportunities, Challenges and Future Trends in Advanced Analytics panel discussed how the democratization of artificial intelligence has resulted in new intelligent applications that are altering business processes and engaging various stakeholders in new ways.

Panelists included Microsoft Data Solution Architect Arief Bavan, Digital Reasoning Chief Analytics Officer Dr. Uday Kamath, Virginia Tech Computer Science and Discovery Analytics Center Research Associate Nathan Self, and Virginia Tech Associate Professor of Business Information Technology, Pamplin College of Business, Dr. Onur Seref. ATA, LLC CTO John Eberhardt III moderated.

Here are some of the valuable points that emerged from this discussion:

  • Open source data enables strong engagement from universities and the future tech workforce in the analytics field
  • Collaboration is surpassing competition in data analytics and that provides huge business value and exciting innovation that will impact every industry
  • Fully embracing AI requires a cultural change within organizations; it’s a journey

View full video from the panel below!

Stay tuned for more Capital Data Summit content here on the blog and check out the 2018 Summit photo gallery!

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By Nathan Self, Research Associate, Department of Computer Science, and faculty at Discovery Analytics Center, Virginia Tech. Self will be participating on the Opportunities, Challenges and Future Trends in Advanced Analytics panel at the second annual Capital Data Summit on Feb. 28, 2018.

VT DAC 2Imagine your biggest spreadsheet. Too many rows and columns to take in at once. At the Discovery Analytics Center (DAC) at Virginia Tech we are interested in how humans and machines can work together to make sense out of all that data. Andromeda is an example of how analysts can combine sophisticated machine learning algorithms with interactive visualization to get insights from their data.

Let’s assume that your enormous spreadsheet has a row for every customer and a column for every statistic you keep about each customer. Andromeda draws a scatterplot in which each point represents a customer. Points that are close to each other represent rows that are similar to each other. Likewise, distant points represent dissimilar rows. To begin with, Andromeda assumes that each column is equally important.

This is where the human aspect comes in. You know what the data actually represents and you can interact with Andromeda in two ways. You can either (1) change the importance of a column. The points of the scatterplot will regroup to preserve the “near is similar” constraint. Or, (2) you can reach right into the scatterplot and move points closer or farther from each other and Andromeda will compute which columns have to be important for them to be considered similar.

Andromeda, with new algorithms and new paradigms of user-algorithm interaction,  serves as a good example that complex statistical methods do not necessitate complex user interfaces or expert users. The selling point of Andromeda is that you don’t have to know that Andromeda uses an algorithm called weighted multidimensional scaling to lay out the scatterplot. You don’t have to know that data scientists at DAC developed inverse multidimensional scaling to handle interacting with the points. In fact, users have effectively generated insights despite having no experience with these, or similar, algorithms. And, their insights are more complex than when they use spreadsheets alone.

There are countless pivotal statistical processes that are well-suited and useful for current data analysis needs. Any of these would be well-served by intuitive interfaces for people that are not experts in statistics.

There is an adage that the same statistics can be used to justify either side of an argument. Machine learning has the same malleability. Understanding exactly what a machine learning tool like Andromeda can do for you — as well as its limitations — is important for deciding what to do with its outputs.

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NVTC’s newest infographic provides a snapshot of NVTC members’ data analytics hiring and resource allocation trends, regional funding and national demand for skilled analytics talent.

Data analytics continues to grow in our region and the country at large, evidenced by increased demand for talent, funding and the growing applicability from IT to finance to non-traditional sectors such as sports – just ask baseball fans what they think about any given player and it won’t be long before someone starts citing “Wins Above Replacement (WAR)” statistics, a non-standardized advanced analytics sabermetric statistic, as a way to justify their view of a player’s value and impact. Adoption across the IT sector is approaching omnipresence, with 87 percent of telecommunications firms and 76 percent of financial services firms reporting adoption of big data analytics according to the 2017 Big Data Analytics Market Study.

2018 Data Analytics Infographic

Demand for the Analytics Workforce Grows

In a January 2018 survey, 55 percent of NVTC members reported hiring data analytics positions over the next 12 months. Given the demand for qualified analytics talent across the country, it won’t be an easy task for most local tech employers. For the third year in a row, Glassdoor ranks Data Scientist as the hottest job across all sectors, not just IT. Analytics Manager also broke the top 20 list, coming in at number 19. All told, data analytics positions had four slots in the top 50, with Data Engineer ranking 33rd and Data Analyst ranking 38th.

Diverse NVTC Member Focus on Analytics

In the January 2018 survey mentioned above, 59 percent of NVTC members indicated they are pursuing the use of analytics in cybersecurity.  Data visualization and cluster computing/big data are also attracting a lot of attention across the NVTC member base, with 54 percent of survey respondents indicating they are exploring those focus areas. Other analytics specialties with significant NVTC member interest include data integration (51 percent adoption), artificial intelligence/machine learning/deep learning (46 percent adoption), and blockchain and Internet of Things applications (both at 41 percent adoption).

Growth in Analytics Market & Solutions Funding

Greater Washington businesses with analytics-supported products and services netted over $446 million in funding in 2017. The single largest deal was $80 million for DC-based Afiniti, a developer that uses AI to pair customers with employees based on behavior, while the average funding amount was $8.6 million. This massive amount of funding makes sense given that the market for big data-driven security is expected to grow to $11 billion by 2020, with homeland security and public safety organizations driving adoption of solutions are taking advantage of the abundance of data produced from smartphones, computers, IoT devices and other data sources, which indicates that NVTC members are ahead of the curve in their focus on developing analytics-based cybersecurity solutions.

With increased data analytics adoption both inside and outside of traditional IT sectors, it seems as though the primary limiting factor for this sector will be a lack of qualified talent, and the safe bet seems to be that Data Scientist will remain one of the hottest jobs for the foreseeable future.

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Big Data: An Enterprise Asset

March 24th, 2017 | Posted by Alexa Magdalenski in Capital Data Summit - (Comments Off)

The inaugural Capital Data Summit took place on Feb. 15, 2017 at The Ritz-Carlton, Tysons Corner. Here on the NVTC blog, we continue to share content from this exciting event.


Transp Data Summit Logo - TransparentThe Summit’s Role of the CDO panel explored the role of the CDO and provided insights into how the role is evolving. Panelists discussed the adoption of big data and analytics within their respective organizations and identified obstacles that they currently are facing in the performance of their role.

Panelists included Freddie Mac Vice President of Single Family Data Delivery Services Susan Burke, HHS Office of the Inspector General Senior Advisor to the Chief Data Officer Timothy Kropp and District of Columbia Chief Data Officer Barney Krucoff. Booz Allen Principal Data Science Dr. Kirk Borne moderated.

Some of the key points that emerged from the panel included:

  • Data is an enterprise asset that must be supported by flexible architecture so it can be leveraged and utilized across different organizational teams.
  • It is a responsibility of the CDO to reduce friction that prohibits the flow of data across the enterprise and between the enterprise and the public.
  • Since data informs and drives business, many CDOs and their departments are structured under the CEO umbrella today; that doesn’t mean there aren’t strong lines of communication and partnership to the CIO umbrella.

View the full video from the Role of the CDO panel here:

CDo Panel 1 v2 CDO Panel 3 v2 CDO 22 v2

Check out the Capital Data Summit photo gallery!

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Capital Data Summit: Meg Whitman Keynote

March 7th, 2017 | Posted by Alexa Magdalenski in Capital Data Summit - (Comments Off)

We continue to share content from our inaugural Capital Data Summit that took place on February 15, 2017 at The Ritz-Carlton, Tysons Corner. Scroll down to view HPE’s Meg Whitman full Capital Data Summit keynote presentation video.


Whitman FiresideThe 2017 Capital Data Summit was headlined by three top keynotes: Hewlett Packard Enterprise President and CEO Meg Whitman, Clarabridge Founder and Vice Chairman Sid Banerjee, and DigitalGlobe Founder, Chief Technical Officer and Executive Vice President Dr. Walter Scott.

Whitman sat down with Inova Center for Personalized Health CEO and NVTC Board Chair Todd Stottlemyer for a “fireside chat” conversation. Whitman explained how big data is powering the next industrial revolution, allowing new insights through predictive analytics. She shared how innovations like memory-driven, rather than processing-driven, computing are allowing HPE to provide intelligent services “at the edge” where data is collected rather than on a central server.

In discussing the future of the industry, Whitman stressed the importance of skilling the next generation of data employees and the pivotal role universities will play in partnering with the private sector to meet these talent demands. View Whitman’s full keynote below:

We’ll be sharing more Capital Data Summit content and videos here on the NVTC blog. Stay tuned!

Check out the Capital Data Summit photo gallery!

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The inaugural Capital Data Summit took place on Feb. 15, 2017 at The Ritz-Carlton, Tysons Corner. Here on the NVTC blog, we continue to share content from this exciting event.


Transp Data Summit Logo - TransparentThe Summit’s engaging VC and Growth Investing in Commercial and Government Data Opportunities panel shared approaches in analyzing, financing and building successful businesses, and the latest data investing opportunities in the commercial and government markets. Panelists included Updata Partners General Partner Carter Griffin and Revolution Growth Partner Steve Murray. MAVA Executive Director Julia Spicer moderated.

Here are some of the valuable points that emerged from this discussion:

  • Greater Washington’s loyal and expert talent pool set the region apart from other tech hubs in terms of investing. According to Griffin, “Around here…we find people are loyal to the cause and want to join these companies and really build something. I think that’s a nice backdrop for building a company.”
  • Investments hinge on a company being able to solve a fundamental problem or improve the customer experience. Companies must be able to explain why they are “nailing their niche.”
  • Investors are finding themselves betting on technology trends that may happen in five to ten years.
    • Investments in machine learning, artificial intelligence and unstructured data enterprises are rapidly expanding today.
  • While entrepreneurship continues to grow in areas beyond Silicon Valley like Greater Washington, Boston and Austin, there are valuable lessons to be learned from the Silicon Valley ecosystem that does a great job fostering entrepreneurship:
    • Silicon Valley has a strong culture of mentorship and collaboration that can be fostered further in other areas
    • The networking culture in the Valley is unmatched; entrepreneurs are confident talking about their products in a variety of settings
    • Silicon Valley entrepreneurs are not as hesitant to make mistakes
    • There is stronger collaboration between established service providers and startups; service providers in the Valley really take the time to help startups grow

 VC Panel 1 v3 VC Panel 2 v2 VC panel 3v2

Return back to the NVTC blog soon for more Capital Data Summit content!

Check out the full Summit photo gallery!

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Capital Data Summit: Sid Banerjee Keynote

March 1st, 2017 | Posted by Alexa Magdalenski in Capital Data Summit - (Comments Off)

We continue to share content from our inaugural Capital Data Summit that took place on February 15, 2017 at The Ritz-Carlton, Tysons Corner. Scroll down or click here to view Clarabridge’s Sid Banerjee full keynote presentation video.


Transp Data Summit Logo - TransparentThe 2017 Capital Data Summit was highlighted by its keynote speakers:  Clarabridge Founder and Vice Chairman Sid Banerjee, Hewlett Packard Enterprise President and CEO Meg Whitman and DigitalGlobe Founder, Chief Technical Officer and Executive Vice President Dr. Walter Scott.

In his opening keynote, Banerjee gave an analysis of the shift in the data ecosystem today from traditional structured data models to the growing influence of unstructured data, especially in the consumer experience sphere. He shared the need for a new wave of emotionally empathetic computing that sources customer data across many digital channels to provide customer insights.

View the full video of Banerjee’s keynote remarks:

We’ll be sharing more Capital Data Summit content and videos here on the NVTC blog. Stay tuned!

Check out the Capital Data Summit photo gallery!

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