Toronto Cloudera Sessions

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.

Presented by Nara Neelakrishnan, Data & Analytics Lead, Green Mountain Power

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.

Presented by Fedor Gorin, Senior Big Data Developer, Equifax & Muhammad Ali, IT Program Manager, 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.

Moderator: Steven Totman, Global Services Leader, Cloudera

Panelists:

- Sharan Sankaranarayanan, Senior Director, Enterprise Data Technology, CIBC

- Fedor Gorin, Senior Big Data Developer, Equifax Canada

- Nara Neelakrishnan, Data & Analytics Leader, Green Mountain Power

Presented by Joon Kim, Sales 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.

Presented by Steven Totman, Industry & Solution Leader, Cloudera

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.

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.