A lot of excellent information was presented. Great resource material to follow up on.- Associate Vice-President, Financial Services University of Saskatchewan
The Guardrails that are always intended and never exist
Open, Fair and Transparent Data Management
Public Sector Data Controls
11:15 - 12:15
From Data to Evidence Based Decision Making: Seconds Count
Sid Tobias, Instructor and Senior Team Lead Digital Development, Information, Innovation and Technology Division and the BCDevExchange, Province of British Columbia
Unprecedented urgency for decision support tools: Climate change vs predictive weather forecast (BC Wildfire Case Study)
Choosing the right decision framework based on complexity theory: uncomplicated data does not address complicated problems
From data to prediction ensuring your data is applicable: could you be dangerously making inferences on base data
From prediction to modeling: trying my decision before applying my decision
From modeling to evidenced based decision making
12:15 - 1:15 Luncheon Break
1:15 - 2:15
Using Big Data, AI, ML, and DL Against Increasing Cybersecurity Threats
Michael Leung, Founder & Management Consultant, Canadian Cybersecurity Inc.
Hear about increasing cybersecurity threats to the public sector and other industries
Hear about issues using traditional security platforms in managing huge volumes of data
Compare public sector interests and importance of Big Data security analytics against other industries
Learn what are botnets, “good” bots and the top automated “bad” bots on the internet
Hear about the evolution of these threats and the use of AI, ML, and DL to thwart these cyberattacks
2:15 - 3:15
Get Your Head in the Cloud! – The GC Cloud Brokering Service
Dinesh Mohan, Director General, Cloud Services, CTO Branch, Shared Services Canada
Case study: government cloud migration
Qualifying cloud suppliers
The cloud and inter-departmental cooperation and initiatives
Lessons learned from the building of the Cloud Brokering Service
3:15 - 3:30 Networking and Refreshment Break
3:30 - 4:30
Need to Know - IoT applications for Today’s Public Sector
Data: the starting point
Expanding data collection and deriving value from existing data
Pilot projects: POC’s & KPI’s
IoT: An “ecosystem” - multiple parties involved in the delivery
Finding pathways to End-to-end solutions
Execution of solutions - investments for the citizens
Finding sponsors with the vision - the business unit within the city
Involving Operations: Keeping people involved in change management
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!
Telephone: 1.800.474.4829 | 360 Bay Street, Suite 900, Toronto, ON M5H 2V6 | Fax: 1.800.558.6520 | Contact Us
