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The seminar provided very useful info to take back to management in order to make better decisions in our use of social media tools. - Web Communications Advisor, Health Canada
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Big Data and Analytics for the Public Sector

Advance your knowledge in government-utilized predictive analytics, data visualization and artificial intelligence

October 23 - 24, 2018  ·  Ottawa, Ontario
 
   
 
Day Two Program Agenda: Wednesday, October 24, 2018
   
7:30 - 8:30        Continental Breakfast
 
8:30 - 8:45
Opening Remarks from the Chair
Martin McGarry, Partner and Chief Data Scientist, Bronson Analytics
 
8:45 - 9:30
Predictive Analytics in Action
Martin McGarry, Partner and Chief Data Scientist, Bronson Analytics
  • Learn how modern self-service predictive analytic and visualization tools can be used to great effect on real-world problems
  • Martin will demonstrate examples of predictive tools in action. Business problems once deemed only the domain of super computers, because of their sheer scale or complexity, can now be analysed in real-time on your own desktops
  • Amongst others, Martin will show how an international logistics company was able to use advanced simulation to predict plant throughout a multi-million dollar investment. This included the ability to optimize resourcing for a multitude of everyday scenarios, automatically managing data outputs and applying visualization to gain further insights
  • The presentation will be highly visual and interactive. The objective is to give participants insights into new technologies and allow questions about how they can deal with their own big data problems
 
9:30 - 10:15
Big Data to Big Ideas (Threats of AI)
Ken Holmes, Board Member, Canadian Military Intelligence Association
  • Understanding existing initiatives
  • How to achieve short term gains while ensuring long term success
  • Five essential tips to succeeding in your data strategy
  • Using big data and big ideas to solve your organizations challenges
  • Identifying opportunities for transparency and information sharing
 
10:15 - 10:30        Networking Break
 
10:30 - 11:15
Informed Decision-Making: Does Bigger Data Lead to Better Decisions?
Bilyana Anicic, Enterprise Architect, Principal Consultant, Aurora Consulting
  • How open collaboration can help you drive value from Big Data
  • Leveraging the work of cross-functional teams for making better decisions and creating better business outcomes
  • How combining diverse sources of data can lead to exciting new solutions to some of our toughest challenges
  • The role of enterprise architecture (EA) practice in reducing the complexity associated with digital transformations
  • Practical examples of a common platform of data, technical infrastructure, policies, standards and governance that enables the Government of Canada to make better decisions, stimulate innovation and provide better services for Canadians
 
11:15 - 12:00
Identifying the Right Technology to Solve Your Big Data Problem
Alireza Bakhshi, Data Scientist, Etico Inc.
  • Big data applications for the public sector
  • Technical requirements that are derived from these applications
  • Big data technologies that are applicable to the technical requirements
  • Real-life examples of using the right technology to manage data
  • Recommendations for the public sector
 
12:00 - 1:00        Luncheon Break
 
1:00 - 1:45
The Seven Must-Haves of Highly Effective Projects and Other Tales of AI Adventure
Christos Sarakinos, Business Management, Digital Technologies, National Research Council Canada
  • What is AI, seriously?
  • What to expect when you're analyticsing?
  • The seven must-haves of highly effective projects
  • NRC analytics projects for public sector clients
 
1:45 - 2:30
Challenges to implementing big data analytics
Somaieh Nikpoor, Research Analyst, Immigration, Refugee and Citizenship Canada
  • Challenges to implementing big data analytics: Volume, Variety and Velocity
  • Key elements for success in machine learning projects
  • Machine learning application in private sector vs. public sector
  • What are areas where machine learning cannot be applied
  • Considerations for deploying machine learning solutions
 
2:30 - 2:45        Networking Break
 
2:45 - 3:30
Going Agile: Developing Agile Analytics for Government
Shahina Perveen, Programmer Analyst - Data Services, Chief Information Officer Branch, Public Services Procurement Canada
  • Why make analytics agile?
  • Transforming people's mindset to adapt to agile ways
  • Aligning delivery with strategy
  • Building a team to deliver agile analytics
  • Challenges in implementing agile in analytics projects
 
3:30 - 4:30
When Seconds Matter: Using Real-Time Data in the Ottawa Paramedic Service
Greg Furlong, Deputy Chief, Ottawa Paramedic Services
  • Implementing a real-time dashboard in a public safety organization
  • Understanding digital transformation in the Paramedic Service
  • How real-time data can improve response times and hospital offload delays
  • Predicting live response time performance
 
4:30        End of Day Two
 
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Session Sponsor

EY

The amount of data that's available for public use is exploding, and as such, implementing big data projects is becoming a major priority across the public sector. Big data, analytics, and business intelligence provide limitless opportunities for improving service delivery, informing policy decision-making, and boosting organizational performance. The public sector is under increasing pressure to ensure ease of use, reliability, speed, and access to their services, for all citizens.

However, there are still numerous hurdles to overcome before you can take advantage of big data's opportunities. These challenges include securing organizational buy-in, complying with privacy and legal regulations, and breaking down silos to effectively collaborate with different departments.

INFONEX's two-day Big Data & Analytics for the Public Sector will help you understand the benefits and pitfalls of big data and how it can be used to improve business functions and secure competitive advantage. Our faculty of leading experts will provide you with strategies for overcoming hurdles, securing buy-in, gathering and integrating your data, and leveraging your data to improve services and policy decisions.

Learn how to extract relevant information from data that can be used to make better organizational decisions. Get tips for overcoming challenges of implementing and maintaining a data governance program. Uncover ways to mitigate performance risks with business intelligence. Examine proven techniques for measuring the performance of your analytics and manage legal and privacy issues surrounding business intelligence.

Join us in Ottawa to learn the best practices for collecting and leveraging big data and analytics. Register today!

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