It happens in Toronto, Ontario on October 23, 2018

St. Lawrence Centre for the Arts, 27 Front St E, Toronto, ON M5E 1B4, Canada
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Join us for Cloudera Sessions 2018, where Toronto's smartest data professionals will be discussing many of the newest use cases for machine learning and artificial intelligence (AI)—ranging from predictive maintenance and fraud detection to product recommendation engines and proactive customer support. Come gain firsthand experience into how experts like yourself are using data-driven insights to grow businesses, improve efficiencies, and manage risk.

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Agenda

8:30am - 9:00am - Breakfast

9:00am - 9:10am - Welcome and Kick-off

9:10am - 9:45am - Cloudera Keynote: Machine Learning, Artificial Intelligence (AI), and the Future of Big Data Analytics

Presented by Amr Awadallah, Founder and Chief Technology Officer, Cloudera

Businesses and organizations of all sizes are suddenly flooded in data from a hyper-connected world and need solutions to analyze and act upon it. Machine Learning and Artificial Intelligence (AI) have emerged to help understand patterns in the data, predict outcomes, and prescribe the optimal actions to impact those outcomes. New use cases for machine learning are emerging every day – ranging from predictive maintenance and fraud detection, to product recommendation engines and proactive customer support. Gain first-hand experience into how some of the world’s best organizations are using data-driven insights to grow their businesses, operate more efficiently and manage risk.

9:45am - 10:05am - Customer Use Case: FairVentures

Presented by Steve Bradwell, Senior Technology Strategist, FairVentures

FairVentures’ cloud-based Data Lab enables analytic teams across its affiliate companies to test, model, and collaborate on analytic use cases--no small feat in a complicated, multi-national, and highly-regulated financial corporation. Learn the steps they took to build this new analytic platform for collaboration.

10:15am - 10:40am - Break

10:40am - 11:10am - Cloudera Fast Forward Labs: The Vision and the Challenge of Applied Machine Learning

Presented by Justin Norman, Director, Research and Data Science Services, Cloudera Fast Forward Labs

Even with the incredible advances in Data Science, Machine Learning, and AI, general off-the-shelf software does not solve your specific business challenges. Just having large volumes of data isn’t enough. Tapping into and creating expertise in the implementation and operationalization of ML, along with adopting strategic views on ML in your firm, are now a vital tools for building competitive data products and achieving short- and long-term ROI in ML.

11:10am - 11:30am - Customer Use Case: Equifax

Presented by Fedor Gorin, Senior Big Data Developer, Equifax

Equifax Global recently invested in Canada to pilot a new data platform which would enable the use of new technologies and talent, reduce operating cost and provide a truly global solution where contributions could be leveraged worldwide. With the continued growth of their data, Equifax is equipped with a flexible, scalable and secure global platform.

11:30am - 12:00pm - Keynote Panel Discussion: Turning Data into Real Business Value

Moderator: Steven Totman, Global Services Leader, Cloudera

Panelists:

- Steve Bradwell, Senior Technology Stategist, FairVentures

- Fedor Gorin, Senior Big Data Developer, Equifax

 

12:00pm - 1:00pm - Lunch

 

Afternoon breakout sessions

 

1:00pm - 1:45pm - Breakout Session: Integrated Machine Learning + Data Science

Presented by Will Chow, Systems Engineer, Cloudera

Machine Learning is not new - but it is driving new use cases every day. In this session, learn how to avoid common pitfalls and instead use data science and machine learning to deliver real value.

 

1:45pm - 2:30pm - Breakout Session: Digital Transformation in Financial Services

Presented by Steven Totman, Industry & Solution Leader, Cloudera

2:30pm - 3:15pm - Breakout Session: Advanced Analytics + BI

Presented by Doneyli De Jesus, Systems Engineer, Cloudera

Whether it's around empowering analysts with self-service flexibility; running the business through real-time dashboards; migrating to cloud environments; or advancing insights with more complex workflows and data science, the requirements for business intelligence and analytics are rapidly changing. In this session, we will cover the key drivers for modernizing analytics, the supporting technologies and capabilities, and how you can ultimately get more value from your data all at a lower cost.

 

3:15pm - 4:00pm - Breakout Session: Cloudera in the Public Cloud

Presented by Vincent Fortier, Systems Engineer, Cloudera

Public cloud presents a compelling opportunity to make analytics more agile and self-service. Yet most organizations are looking to reduce risk, and costs by pursuing hybrid- and multi-cloud environments. Learn how Cloudera complements public cloud services and preserves customer choice.

4:00pm - 5:00pm - Happy Hour

Speakers

Amr Awadallah, Ph.D. Chief Technology Officer, Cloudera
Will Chow Systems Engineer, Cloudera
Doneyli De Jesus Systems Engineer, Cloudera
Vincent Fortier Systems Engineer, Cloudera
Fedor Gorin Senior Big Data Developer, Equifax
Justin Norman Director, Research and Data Science Services, Cloudera Fast Forward Labs
Steven Totman Financial Services Industry Lead, Cloudera

Sponsors

Top 5 reasons to attend Cloudera Sessions 2018

Why should you spend the day with us? Here are the top 5 reasons to attend Cloudera Sessions…

Learn
Your machines are learning–don’t be left out. Discover how to manage and analyze the data coming from them.

Hear
Local companies are deriving real value from their data. They’ll share their stories on how they did it.

 

Empower
There's buzz and then there's information you can use back at work. You'll get the latter with 3 hands-on breakout sessions and a deep dive keynote on machine learning and AI.

Participate
There will be plenty of opportunity to interact with technical experts and our partners at the Ask The Expert panel.

 

Network
Meet the who’s who of local and like-minded data innovators.