Growing Virginia's Data Analytics Ecosystem

Transcription

1 Growing Virginia's Data Analytics Ecosystem 1

2 Develop the premier data analytics ecosystem that will sustain, attract, and grow world-class talent, increase jobs, small to large companies, promote innovation and investment in the New Virginia Data Economy 2

3 3 A McKinsey study found that by 2018 there could be a shortage of 140,000 to 190,000 individuals in the United States with deep analytical talent needed for Big Data and Analytics. A recent IDC forecast shows that the Big Data technology and services market will grow at a 26.4% compound annual growth rate to $41.5 billion through Governor McAuliffe has set the imperative to diversity the New Virginia Economy in the areas of bioscience, Big data and analytics, and cyber security. Big data analytics has opportunities and solutions in all three areas. At the moment we have an opportunity to fill thousands of high wage data analytics related jobs to diversify and grow our economy. Virginia must respond by generating the right talent and create the right ecosystem needed to support companies in big data analytics or we will lose them to states such as North Carolina, Massachusetts, and New Jersey who are aggressively investing to capture this market. Operationalizing the CoE defined in this presentation will be crucial to seize this opportunity. We must invest the right amount of resources and effort to ensure success.

4 In data analytics: Narrow the supply and demand gap in the workforce Increase the number of developing and emerging companies Expand programs in education system and further align them with companies and organizations needs Increase intellectual property commercialization opportunities Increase demand for Virginia s data analytic products and services by promotion, branding, trade missions, etc. Develop and promote collaboration opportunities across the public, private, and academic spectrum 4

5 5 % of member companies jobs filled # of net in/out of data analytic companies # of graduates from data analytics programs % graduates in analytic programs retained in VA $ value of data analytics products and services sold $ of grant resources received for research # ranking of Virginia of states for data analytics % of certified VA professionals (i.e. CAP if adopted standards)

6 6 Companies Will realize greater access to: Talent with the right skill-sets Directed proprietary research or projects Infrastructure, data, subject matter experts, and knowledge base Inter-disciplinary internship and developmental teams Commercialization investment opportunities Opportunities to provide services and products across market sectors Access best practices for emerging and tested methodologies/technologies Commonwealth incentives (e.g., tax incentives for.) Higher Education Higher Education members will be enables by: More students in data analytic related programs exposed to current analytical methods More data analytic programs closely aligned to industry and public sector needs Greater research opportunities and partnerships with companies and public sector Increased funding opportunities for research through joint ventures Coordinated development of best practices and methodologies/technologies Virginia The program will result in the following benefits for the Commonwealth: Thousands of jobs fills, many more additional ones created Diversify economy into a high growth area Demonstrate integrated collaboration between higher education, private industry, and government can work and produce results Elevate Virginia s standing in data analytics and identified verticals Benefit citizens through accessibility to opportunities and valuable information

7 Virginia demonstrates situational awareness with an integrated ability to predict future opportunities and outcomes through adaptive action: Understand the supply and demand of worker skills Understand the supply and demand of jobs Understand Virginia s future educational needs Understand threats from natural and human sources Understand preemptive measures that align with optimum resource use Virginia is recognized for a high quality of life For data analytics professionals Proximity to the hub of the the nation s capitol Continuing education opportunities Superior information technology infrastructure Opportunities range from start-ups to Fortune 500 Pro-business culture Good education Good healthcare Good transportation Good environment Good communities 7

8 8 Data Aces Data analytics jobs fulfillment hub Develop educational curricula and programs that align with industry needs for top talent Develop skilled employees at the speed and scale required by industry Create a new internship program with an interdisciplinary team focus Create a mentorship program, students paired with employees Data Accelerators Agile solutions center Develop tangible solutions to address open and proprietary use cases/challenges from companies and gov't Execute commissioned rapid problem-solving projects through challenge contests Manage cross-program courses and projects in Higher Ed w/ companies and gov t Develop events introducing start-ups and growing companies to VCs and angels, Data Shark Tank Data Value - Virginia's data analytic resource center Establish a Clearinghouse of data analytic methodologies, models and templates, business opportunities, and data analytic application Develop and maintain asset inventory and directory, actively market them Create gateway to match Virginia s data resources to industry needs Provide affordable data analytic resources to entrepreneurs

9 9 DataVa Stewards Data curation center Add in-demand data into Virginia's data repository data.virgina.gov Match data requests to sources Identify data sharing opportunities Develop of solutions to lower barriers for data sharing Data Disruptors - Research and innovation to commercialization Pursue grants in joint-ventures, public/private Execute innovative/though leadership projects ex. PII Framework Create IP/Research opportunities through public/private partnerships Research repurposing data and algorithms for other industries Execute R&D in efforts to monetize data

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11 11 Aaron Burciaga "Accenture" Aaron Schroeder "VT" Afroze Mohammed"VT" Ali Eskandarian "GW" Bernard Schmidt "NVCC" Brett Berlin "GMU" Crystal Icenhour "VaBio" Donald Brown "UVA" Gilbert Miller "Noblis" Gregg Melanson "Trowbridge & Trowbridge" Grubbs, Joseph "VITA" Scott Hallworth "CapitalOne" Nicole Helmantoler VITA" James Hoover "Accenture" Ihrie, David "CIT" Jeff Gallagher "VaBio" Jim MacDonald "Northrop Grumman" Johan Bos-Beijer "GSA" John Provo "VT" Leo Kahng "Google" Mark Orr "VT" Mike Bradshaw "Google" Moe Nikbakhshian "GWU" Morgan Crafts "Northrop Grumman" Peter Aiken "VCU" Robert Osgood "GMU" Ronald Hutchins "UVA" Sallie Keller "VT" Sharon Simmons "JMU" Steve Nash "GMU" Robert " Stolle "CIT" Nick Swayne "4-VA" Thomas Woteki "Maximus"

12 12 Higher Ed: VCCS Companies: Microsoft, IBM, Verizon, SAS, SAP, Information Builders, Teradata, Tableau, ESRI, Qlik, Splunk, Adobe, Truven Government: Virginia, FFX and PWCo, other Federal Civilian and Defense Agencies Non-profits: MITRE, RAND, PEW Associations/Professional Societies: INFORMS, AFCEA, MORS I/ITSEC

13 Bioinformatics Cyber analytics Fraud analytics Citizen services 13

14 Existing university programs and assets Proximity to the Federal government Established methodologies 4-VA Telepresence Maria 100G Network BHEF data science programs Danville and other Virginia HPCs Commonwealth state and local open data CIT Gap Funds Private industry data and assets Tax incentives Angel Investor Tax Credit Capital Gains Tax Exemption R&D Tax Credit Data Center Tax Incentive 14

15 15 September- October" Establish financial/operating model" Receive commitments from founding members" Form oversight/steering committees" November - December" Create LLC or non-profit" Draft governing docs" Develop initial programs" Conference planning" Secure funding and resources" January" Hold conference" Physical location opens doors" Launch initial programs"

16 16 Sustainable funding/resource model Commitments by Higher Ed Institutions, Companies, and Public Sector Data sharing models across entities Incubation lab to rapidly test and deploy viable concepts Sustainability; institutionalize dependency on COE and value advocacy Need to define a long term roll out strategy

17 Data Analytics Ecosystem Centers of Excellence" (NoVa)" Value Creation! Experts! Data! Tools Compute! and! Networks Demand Center Cyber Analytics" (TBD)" Demand Center Bioinformatics" (TBD)" Demand Center Fraud Analytics" (TBD)"

18 Obtaining multi-discipline internship teams support for proprietary or open data analytic project Solve use cases/challenges, access/recruit top talent, no admin burdens Participation in pioneering/thought leadership projects with government partners ex. PII Framework project Cited in published papers, sponsorship promotion Participate in datathon/recruiting event, talent in action, open to data science talent across all Virginia Higher Ed Schools Access/recruit top talent Participation in focused data analytic efforts in verticals in public and private sector ex. Virginia Bio effort in Neuroscience New business opportunities, SME support, opportunities to diversify business Access to Higher Ed. SMEs and faculty (CoE associates). 18

19 19 Complete three use cases/challenges Place X interns with member companies Place X graduates with member companies Complete one public/private data analytics project