March 21, 2019
Inova Center for Personalized Health Conference Center
8100 Innovation Park Dr.
Fairfax, VA 22031
Registration, Breakfast and Networking
Rich Montoni, NVTC Chairman and Vice Chair of MAXIMUS
Brad Antle, Impact AI Chairman and CEO, Antle Advisors LLC
Toni Townes-Whitley, President, Us Regulated Industries, Microsoft
Integrating AI in Smart Cities
Forbes has called Smart Cities the new Platform Revolution. Approximately 50% of the world’s population now lives in urban areas. Those citizens are mobile-enabled, digitally-savvy and expect a higher level of service from government and their commercial providers.
Spending on Smart Cities has increased exponentially and is estimated to reach $135B by 2021. These cities use technology, information and data to improve infrastructure and services. The most effective Smart Cities leverage funding from local, private and federal partners to fundamentally change their citizen’s experience. There are four standards that define a Smart City: livability, workability, sustainability and (most recently) learnability.
Our panel will explore the emerging integration of AI into the Smart City model. We will share successes from the Department of Transportation’s Smart City grant winner, Columbus Ohio. We will explore how academia, government and commercial entities are now partnering across the US and the globe to realize the potential of Smart Cities for our citizens.
Alex Jacome, CEO, Achievion Solutions LLC
Joanna Pinkerton,CEO of Central Ohio Transit Authority (COTA)
Mike Stevens, Chief Innovation Officer, City of Columbus
Sean Thrash, Supervisory Special Agent – DHS Insider Threat Program Manager, U.S. Department of Homeland Security
Kim Hayes, CEO and Co-founder, The Ambit Group
Tech Talk 1 – Cyber
The last year kicked off a golden age of implanting new concepts in AI, Deep Learning, Machine Learning, and Autonomy – and is joining Cyber as an “operational offset” for the US Government. AI and Cyber are massive force multipliers on mission for the Public and Defense sectors and require a whole new way of think about how we train our future workforce, how we acquire and test systems, and how we synchronize teams and developers onto a common platform. We all have found that AI tools drastically improve and automate the Cyber response – while we need strong cyber capabilities to protect our AI algorithms.
Jay Crossler, Director, Chief Engineer of Operations, The MITRE Corporation
Fireside Chat on AI in Customer Service
At a speed unparalleled in technology adoption, organizations are using artificial intelligence and machine learning to create highly personalized and predictive experiences – drawing their customers closer and deepening brand loyalty. Hear from local leaders on how they’re creating new ways to engage with customers and capturing profound benefits in this pursuit.
Malcolm Ross, VP of Product Marketing, Appian
Melissa Edwards, Managing Director, Advisory, Intelligent Automation, KPMG
Building Ethical, Responsible AI
By augmenting human capabilities, AI technologies can fuel growth and exponential changes in industries. But they can also create epic disruption, instability and the loss of trust. To take into account the human impact of AI, enterprises need to start thinking more about what it means to deploy AI responsibly, what we can do to mitigate AI model bias and explain decisions in a transparent manner, and what ethical governance models are needed.
Dr. Rumman Chowdhury, Global Lead for Responsible AI, Accenture
AI in Public Sector and Defense
Artificial Intelligence has the potential to transform nearly every aspect of government. This panel will bring together key leaders from different parts the US Government to discuss the use of AI in the government. Topics to be covered include: What are different parts of the government doing in AI? What are good use cases and expected outcomes for AI? What’s the best way to identify and move out on an AI initiative or deployment? What’s needed to be more effective at the use of AI? What important policy, ethical, and/or legal issues should be considered in making decisions about using AI?
Edward Dowgiallo, Architect in the OCIO, U.S. Department of Transportation
Anthony Robbins, Vice President, North America Public Sector, NVIDIA
Lt Gen John N.T. “Jack” Shanahan, Director, Joint Artificial Intelligence Center, Office of the Department of Defense Chief Information Officer, the Pentagon
Ingrid Solis, AIM Champion, Office of the Director of National Intelligence
Charles Onstott III, Senior Vice President and Chief Technology Officer, SAIC
Machine Learning the Easy Way: Practical Use Cases
(Google Cloud, Gannett, and Appian)
Today’s technological reality dances between innovation and science fiction. Cutting-edge research, developments, and the pathways to utilize the capabilities of machine learning (ML) and artificial intelligence (AI) can sometimes feel daunting. It can require huge training datasets and experienced machine learning teams to create usable and relevant ML models. In this session, you will understand how industry experts are working with Google Cloud to make these advanced and complex tools more accessible. Also, hear firsthand how Gannett has been able to classify and search their vast digital archives in milliseconds and how Appian has made it easier for developers to tap into the power of Google Cloud ML models and applications without the need for custom modeling.
Subir Dutt, Head of Sales for the Mid-Atlantic, Google Cloud
Jason Hatala, Client Lead, Google Cloud
Fletcher Maffet, Sr, Product Manager, Gannett
Jorge Sanchez, Director of Product Strategy, Appian
Ian Kelly, Customer Engineering Manager, Google Cloud
AI in Human Capital Management
AI is already having an impact on workforce management. From a recruiting perspective, companies are leveraging analytics and bots to get better results in an increasingly competitive hiring market for employers. HR organizations are also using AI and analytics to try to predict and manage attrition, including identifying at-risk employees. There are also macro concerns with AI, including the potential displacement of millions of workers, or the issue of AI algorithm bias in recruiting and hiring practices. With representatives from business, consulting and legislative organizations, this panel will try to explore all of these issues and the impact of AI on the workforce and human capital management.
Dr. Carolina Young, Policy Advisor on Future of Work, U.S. Senator Mark Warner’s Office
Angela Johnson, Director of Development, Allegis
Michele Bennett, PhD, Data & AI Executive, Avanade
Katherine Lavelle, Managing Director, Accenture
Kevin Gorman, Head of Product & Data, People Analytics, Capital One
Kamran Khan, Managing Director, Accenture
Tech Talk 3 – Leveraging the Wonders of AI Versus Wondering How AI Will Leverage Us
Kirk Borne, Principal Data Scientist and Executive Advisor at Booz Allen Hamilton will discuss the real power of AI, which is not “artificial” intelligence, but its real power is accelerated, actionable, adaptable, amplified, applied, assisted, and augmented intelligence. He will talk about how AI can dramatically shrink the exponentially growing gap between our generation of data and our understanding of it. Since data (from sensors of all kinds) provide the training, validation, and operational inputs for our AI implementations, then we should be leveraging AI to intelligently manage those data too!
Dr. Kirk Borne, Principal Data Scientist and Executive Advisor, Booz Allen Hamilton
AI at Enterprise Scale? Technology Hopes vs. Mission Engineering Challenges
The “Second Machine Age” is taking root via “AI” applications and near-term possibilities across virtually all sectors of the economy and global societies. At enterprise scale, however, while the visions are plentiful, the mission and fundamental realities present a myriad of technology, ethical and cultural ‘transition quicksands.’ The panel will frame both pitfalls and risks which must be addressed during the transition from ‘use case’ capabilities to enterprise mission dependencies. It will focus on risks and impediments to the enterprise seeking to employ AI in their operations. Panelists will highlight cautionary lessons noted, but perhaps not yet ‘learned’, all critical to competitive and secure transition.
Dr. Kirk Borne, Principal Data Scientist and Executive Advisor, Booz Allen Hamilton
Dr. Lance Sherry, Director of the Center for Air Transportation Systems Research at the Volgenau School of Engineering, George Mason University
Curt Rasmussen, Future Forecasting/Planning Scientist, U.S. Department of Homeland Security
F. Brett Berlin, Data Analytics Engineering M.S. Faculty & Capstone Director, Volgenau School of Engineering, George Mason University
Tech Talk 4 – Detecting Hateful Intent
Attain & George Washington University’s Business Analytics program will demonstrate a holistic AI approach to identifying potentially dangerous internet hate speech. Modeling how humans recognize threats, we were able to tease out hate speech posts which also signaled an intent to act. The solution connected multiple neural networks to faithfully model human cognition.
Tim Pavlick, PhD, Chief Innovation Officer, Attain
Back to the Future!
This panel will comment on the use cases and applications discussed in the previous panels. It will compare and contrast the AI techniques that were used and offer commentary on alternative approaches from the fields of AI, statistical learning and data science. In closing the panel will offer its views on future developments in these fields and their application.
Dr. Russell Vane III, Cybersecurity and Infrastructure Security Agency National Risk Management Center, Department of Homeland Security
Carolyn Nguyen, Director of Technology Policy at Microsoft
Dov Levy, CTO and Founder, Dovel Technologies
Jennifer Hill, PhD, Vice President, Data Science, Enterprise Model Risk, Capital One
Dr. Sally Morton, Dean, VA Tech College of Science