Digital Transformation: Modernizing Decision Making for Government
Webinar Series: Part 4

AI in Government: Analytically Driven Decisions for Better Outcomes

On-Demand

About the webinar

The hype around Artificial Intelligence means that the line between AI, Automation, Analytics, and Machine Learning can be blurry. AI is all more than just an algorithm, moving from insight to impact and the role of enterprise readiness of AI to fuel better insights for government. For many organizations the concept of AI is not well understood, and they struggle to derive business value from their AI initiatives, whether that is due to unrealistic expectations, or poor solution mix.

In this webinar, join us in a fireside chat where we will discuss:

  • How AI can help governments make better decisions driven by analytics to create better outcomes
  • Why government should adopt a spirit of Pragmatic AI – the AI you get by maturing your current processes 
  • What and why you should automate what you can
  • Using Machine Learning to deliver high-value answers in real time without unnecessary human intervention

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About the Experts


Toby Fyfe
President and CEO
Institute on Governance

Toby Fyfe is President and CEO of the Canada-based, not-for-profit Institute on Governance. He provides  support to government institutions and leaders as they respond to the challenges of public sector governance in the 21st century. He is an expert facilitator and a frequent speaker on issues related to public governance and leadership.

Before assuming this role, he was Vice-President of the Learning Lab at the IOG where he led the IOG’s public sector leadership and capacity-building programs and courses providing tools for, and insights to, executives and officers at all levels of government.

He spent over twenty years with the government of Canada in central agencies (Privy Council Office, Treasury Board of Canada Secretariat) and government departments. He managed a Federal/Provincial/Territorial initiative to reduce overlap and duplication, and was involved in and led change initiatives to improve government performance. His last post was as Assistant Commissioner, Corporate Services at the Office of the Commissioner of Official Languages, where he negotiated to modernize the governance arrangements of it and other agents of Parliament.


Steve Bennett
Director, Global Government Practice
SAS

As the Global Government Practice lead, Steve Bennett is passionate about helping governments around the world put their data to work for the citizens they serve. In his current role, he drives strategic industry positioning and messaging in global government markets. A thought leader in decision science and the application of analytics in government, Steve works to ensure that analytics solutions at SAS deliver maximum value for governments around the world.

Prior to SAS, Steve held a number of leadership positions during his 12 years in the U.S. Department of Homeland Security. Following the events of September 11th 2001, Steve led the design and application of quantitative analysis to inform some of the United States’ most challenging security decisions, most recently as the Director of the National Biosurveillance Integration Center.

Over the course of his career in Government, he led numerous efforts to provide analytic decision support to senior officials in the White House and across the U.S. Government. Steve is relentless in his commitment to helping governments improve decision making, and pursues better organization, management, and use of data as critical to that endeavor.

Steve holds a doctorate in Computational Biochemistry from Stanford, as well as undergraduate degrees in Biology and Chemistry from Caltech, and has authored a number of publications. When not supporting improved analytics in government, he is coaching youth soccer, leading children’s ministry at church, or building something in his workshop.


David Comeau
Customer Advisor – Federal Government 
SAS

David jumpstarted his career during the technology boom of the mid 90’s with Corel Corporation before moving to Cognos Inc. He spent the next 15 years developing his skills in business intelligences and data management. Having spent the bulk of his of his career working with federal government departments he's applied his knowledge from small migrations to large deployments. He joined SAS in 2012.  As a solutions architect he guides federal departments to better understand their role in leveraging predictive analytics including artificial intelligence and machine learning.

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