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
REGISTER ONLINE  |  Day 1  |  Day 2  |  Agenda (PDF)  ]

Big Data and Analytics Strategies

Advance your knowledge in creating a data-driven organization!

May 28 - 29, 2019  ·  Toronto, Ontario
Day Two Program Agenda: Wednesday, May 29, 2019
8:00 - 9:00        Continental Breakfast
9:00 - 9:10
Opening Remarks from the Chair
9:10 - 10:00
Predictive Analytics and Machine Learning: How to Make Them Work in Finance Industry
Nitesh Soni, Director, Advanced Analytics and AI, Scotiabank
  • Step-by-step guide to using predictive analytics
  • Learn how to build superior cloud machine learning models and deploy them into production
  • Hear about the latest developments in predictive analytics and machine learning
  • Practical tools to help you start with basic connectivity and data collection
  • Learn the science of machine learning and understand what it can and can’t do
10:00 - 10:15        Networking Break
10:15 - 11:00
AI and ML to Develop Innovative Solutions with Unstructured Big Data
Faraz Zaidi, Advisor, Health Analytics, Region of Peel
  • Role of artificial intelligence and machine learning in developing innovative solutions
  • What is ‘Unstructured Big Data’ and its sources
  • Algorithms, tools and techniques for ‘Unstructured Big Data’
  • Learn how artificial intelligence and machine learning are leveraging unstructured big data to develop solutions
  • How innovative solutions are being developed and deployed in production
11:00 - 11:45
Deriving Business Value from Big Data & Analytics
Cal Rosen, Vice President, Data Integration, Scotiabank
  • To maximize business value on a systematic basis requires a coordinated and organic journey from data creation through data exploitation and action
  • This is often challenging in large organizations as there are many deeply rooted issues and inhibitors to overcome in executing a Data and Analytics program
  • Inherent and emerging people, process and technology and data challenges and how to overcome them
  • The key building blocks for a successful program
  • A view into where we are headed including potential emerging gaps
11:45 - 12:30
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 the 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
12:30 - 1:30        Luncheon Break
1:30 - 2:30
Proactive Regulation Powered by Data Analytics and Machine Learning
Thomas Kampioni, Manager, Information Services, The Law Society of British Columbia
  • Hear about machine learning project that assesses compliance level of the law firms in British Columbia
  • Explore how to leverage predictive analytics to be proactive and efficient
  • Learn about the importance of defining business problem and developing SMART business objectives first in the data analytics project
  • Understand the importance of following the process in the data analytics project
  • Learn why healthy data culture gave advantage to many modern organizations
2:30 - 3:30
Building a Data Science Capacity in the Healthcare Sector
Saad Rais, Lead Data Scientist, Ontario Ministry of Health and Long-Term Care
  • Overview of data science and analytics
  • Applications in healthcare administration
  • Priorities in capacity building
  • Use cases
  • Challenges
3:30 - 3:45        Networking Break
3:45 - 4:45
Digital Web Data - The Foundation of AI and ML
Gaurav Pratap (GP), Manager, Web Analytics, Scotiabank

In this digital era as our customers visit our site / app, they expect an aligned and a tailored experience. And the foundation to this true experience comes from Digital web data that captures those intrinsic data footprints around our customers. Organizations that ain't doing it effectively will rue the missed opportunity as the smarter players would have taken the lion's share away.

4:45        End of Day Two
REGISTER ONLINE  |  Day 1  |  Day 2  |  Agenda (PDF)  ]



Session Sponsor


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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