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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 Strategies

Advance your knowledge in creating a data-driven organization!

May 28 - 29, 2019  ·  Toronto, Ontario
 
   
 
Day One Program Agenda: Tuesday, May 28, 2019
 
8:00 - 9:00        Registration and Continental Breakfast
 
9:00 - 9:10
Welcome and Opening Remarks from the Chair
 
9:10 - 10:10
Insights on the Latest Big Data Trends
Mohammad Karim, Senior Big Data Analyst, TD
  • 5 best practices for protecting privacy while conducting big data analytics
  • Enable better, quicker and more valuable care delivery to people
  • Identify appropriate and ethical use of big data, artificial intelligence and related techniques
  • Overcome and prevent data breaches and other inappropriate ways of data uses
  • Develop and implement protected management strategies of data
 
10:10 - 10:30        Networking Break
 
10:30 - 11:30
Becoming a Data-Driven Organization
Michael Morris, Director, Sales Analytics and Incentive Programs, Global Furniture Group

Moving a company into Data Analytics is a monumental task. Reduce your anxiety with insights from someone who’s been down this bumpy road. Discover practical tips to:

  • Smoothly navigate your path to bringing business intelligence to your organization
  • Enhance team building to support your vision
  • Distill the promises to help make your software decisions
  • Take away a roadmap to help begin your journey to making informed business decisions
 
11:30 - 12:30
Using Data and Analytics to Drive Decision-Making in Any Organization
Hussain R. Usman, Executive Director, Population, Public and Indigenous Health, Public Health Surveillance and Infrastructure (PHSI)
  • Instinct over data: learn what you gain from data-driven decisions
  • 5 steps to data-driven business decisions
  • Gain strategic advantages over rivals by shifting focus to data rather than business insight
  • Learn how to become more agile and better able to respond to markets/innovate
  • Remain competitive among forward-thinking companies that do use data to their advantage
 
12:30 - 1:30        Luncheon Break
 
1:30 - 2:30
Big Data and Artificial Intelligence (AI): How AI Powered Recommendation Platforms could be Scaled in the Big Data Era
Korosh Koochekian Sabor, Data Scientist, Shopify
  • What are AI powered recommendation systems and why are they important
  • What are different types of AI powered recommendation systems, how are they built and tested
  • Are current Ai powered recommendation systems scalable and how we can scale AI powered recommendation systems to be trained on big data
  • What are the risks of compromising the accuracy of AI powered recommendation systems to scale those models for big data
 
2:30 - 3:30
Master Big Data, Artificial Intelligence (AI), Data Science & More
Kalyan Chakravarthy, Chief Information Officer, The Regional Municipality of Durham
  • Learn the programming languages needed to design intelligent agents, algorithms and advanced artificial neural networks
  • Practical tools to implementing the concepts and principles of machine learning
  • Implement classical artificial intelligence techniques
  • Understand practical aspects of machine learning
  • Hear about the latest developments in skills and tools used by the most innovative AI teams across the globe
 
3:30 - 3:45        Networking Break
 
3:45 - 4:45
Leveraging Big Data to Unlock the Power of Machine Learning and AI
Pascal Tyrrell, Director of Data Science, Department of Medical Imaging, University of Toronto
  • AI and Machine Learning (AIML) - what is it and why now?
  • Big Data and ML is a good combination
  • Business case for ML Applied to Big Data - Show me the money!
  • Business case for ML Applied to Big Data - Show me the money!
  • Why some AIML initiatives fail
 
4:45        End of Day One
   
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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!

Telephone: 1.800.474.4829  |   360 Bay Street, Suite 900, Toronto, ON  M5H 2V6   |   Fax: 1.800.558.6520  |  Contact Us
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