Even though Big Data & AI Toronto 2021 is over, we continue exploring AI, Big Data, Cloud, and Cybersecurity through our Follow-up Series. Experts from Dataiku, RBC, and BMC will be joining us for this webinar.

Session 1: Moving From Data to Value at Scale with RBC (Dataiku)

Getting business value from your data comes down to making key processes and functions better, faster, or more cost-effective. How can today’s organizations take advantage of the capabilities and best practices needed to derive real business value?

In this fireside chat-style webinar, Kanika Vij, Sr. Director Data Science and Automation and Masood Ali, Senior Director, Data Strategy & Governance at RBC speaks with Arthy Krishnamurthy, Dataiku’s Senior Advisor of Business Transformation on what it means to drive value from building a data-driven risk assessment tool and implementing it across the entire enterprise. Join them as they walk through real-life examples of the business, technology, and organizational lessons learned and best practices that can be implemented in your business.

Session 2: Orchestrating Multi-Cloud Data Pipelines with Control-M (BMC)

The Data-Driven Business tenet is one every company is chasing today and the goal is of course getting actionable insights. Still, reality is the big data workflows continue to be immensely complex making it difficult to deliver these projects at enterprise scale on time.

Join us for this session and learn how Control-M abstracts the complexity of the application layer, including:
✔️ Simplification of complex data pipelines in a multi-cloud environment
✔️ Enabling end-to-end visibility and predictive SLA’s across any data technology or infrastructure
✔️ Easy adoption of innovative new technologies introduced by the major cloud providers such as Azure, AWS and Google Cloud