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Convergence Toronto

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Westin Harbour Castle Hotel

1 Harbour Square

Toronto, Ontario M5J 1A6

Canada

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Convergence - Solving Data Challenges Together

Join us for a one-day Big Data conference focused on enterprise data. Customers, partners and technical experts share their expertise on using data to build converged applications. Whether you are looking to leverage your data to innovate, reduce costs, or both, at Convergence we will solve data challenges together.

Breakfast and lunch will be provided for each attendee.


AGENDA



8:00am - 9:00am - Registration and Networking Breakfast

9:05am - 9:15am- Introductions and Welcome

9:15am - 10:00am - Identifying and exploiting the keys to digital transformation Crystal Valentine, PhD, VP of Technology Strategy at MapR Technologies

10:00am - 10:30am - Social Sciences Embodiment in Data Science/Machine Learning - Atif Farid Mohammad PhD, Data Science Practitioner, Adjunct Professor UNC Charlotte

10:30am - 11:00am- Morning Networking Break

11:00am - 11:30am - Presentation by Pentaho

11:30am - 12:00pm - How to Leverage the Cloud for Business Solutions - Jim Scott, Director Enterprise Strategy and Architecture at MapR Technologies

12:00pm - 12:30pm - Birds of a Feather Lightning Round(experts engage with the audience to address relevant issues and key topics)

12:30pm - 1:30pm - Networking Lunch

1:30pm - 2:00pm - Customer Presentation

2:00pm - 2:45pm - Presentation by Crystal Valentine

2:45pm - 3:15pm - Data Management in a Web-Scale World - Jim Scott, Director Enterprise Strategy and Architecture at MapR Technologies

3:15pm - 3:30pm - Book Signing - Microservices and Containers by Jim Scott (NEW RELEASE)

3:15pm - 4:45pm - Meet the Experts Happy Hour

* Additional agenda details coming soon...



Featured Speakers



Crystal Valentine, PhD, VP of Technology Strategy at MapR Technologies

Crystal Valentine is VP of Technology Strategy at MapR Technologies with a background in big data research and practice. Before joining the MapR, she was a professor of computer science at Amherst College. She is the author of various academic publications in the areas of algorithms, high-performance computing, and computational biology and holds a patent for Extreme Virtual Memory. As a former consultant at Ab Initio Software working with Fortune 500 companies to design and implement high-throughtput, mission-critical applications and as a tech expert consulting for equity investors focused on technology, she has developed significant business experience in the enterprise computing industry. Dr. Valentine received her doctorate in Computer Science from Brown University and was a Fulbright Scholar to Italy.



Jim Scott, Director Enterprise Strategy and Architecture at MapR Technologies

James A. Scott (prefers to go by Jim) is Director of Enterprise Strategy & Architecture at MapR Technologies. Jim helped build the Hadoop, Streaming and Cloud communities in Chicago as cofounder of the Chicago Hadoop Users Group. He has implemented these technologies at a variety of different companies, supporting a many enterprise use cases from managing Points of Interest for mapping applications, to Online Transactional Processing in digital advertising, as well as full data center monitoring and general data processing. Jim has held positions at several companies including SPINS, Conversant, Aircell, NAVTEQ, and Dow Chemical. Jim speaks at many industry events around the world on big data related technologies and enterprise architecture. When he’s not solving business problems with technology, Jim enjoys cooking, watching-and-quoting movies and spending time with his wife and kids. Jim is on Twitter as @kingmesal.



Featured Sessions



Identifying and Exploiting the Keys to Digital Transformation

Crystal Valentine, PhD, VP of Technology Strategy at MapR Technologies

When discussing big data, we tend to focus on the end state—the massive scale and variety of data. But big data is created one event at a time, whether from sensors, log files, or customer interactions. Historically, one of the obstacles to leveraging this data has been the processing time and effort to extract/transform/load (ETL) the data, getting it into the analytical database, warehouse, or, more recently, big data platform for analysis. Streaming makes it possible to better manage, analyze, and distribute events, including web events, machine sensors, and biometric data, across locations and subscribers. This session will discuss how companies are pursuing digital transformation using and real-time analysis and adjust to impact business functions.


How to Leverage the Cloud for Business Solutions

Jim Scott, Director Enterprise Strategy and Architecture at MapR Technologies

Cloud is becoming pervasive, but the cloud isn’t always full of rainbows. Defining a strategy that works for your company for your use cases is critical to ensuring success. From databases, event streaming and real-time to analytics. Leveraging cloud as infrastructure versus tightly coupling to the cloud provider should be a key consideration for everyone.

Most cloud providers would prefer that every customer be tightly coupled with their proprietary services and APIs to create lock-in with that cloud provider. The savvy customer will leverage cloud as infrastructure and stay loosely bound to a cloud provider. This creates an opportunity for the customer to execute a multi-cloud strategy or even a hybrid on-prem and cloud solution. We will explore different use cases that may be best run in the cloud vs. on-prem and where opportunities exist to optimize cost and operational benefits in addition to HOW to get the data moved between locations.

Security, backups, event streaming, databases, replication and snapshots will be discussed across a variety of use cases that run most businesses today.



Data Management in a Web-Scale World

Jim Scott, Director Enterprise Strategy and Architecture at MapR Technologies

The industry is in the middle of an architectural shift. This once is a 30-year shift is driven by the massive scale and increasing heterogeneity of unstructured data. However, today’s purpose-built rigid infrastructures struggle to deliver in a cloud-scale, distributed, IoT world. What’s needed is the ability to deliver data in a multi-temperature, multi-infrastructure (on-premises, multi-cloud and at the edge) environment while providing enterprise grade features for high-availability, multi-tenancy, security, disaster recovery and more. This session will look at market opportunity, drivers, disruptions, workloads and uses cases that are changing the data management market.


Social Sciences Embodiment in Data Science/Machine Learning…

Atif Farid Mohammad Ph.D, Data Science Practitioner, Adjunct Professor UNC Charlotte

We live in the world of unanticipated changes. As human, we possess experiential set of memories, where the parameters and variables have diverse set of memories as data sets. These data sets are time tested. Social Sciences allow us to make unbiased/Biased calls to make a decision that allows a course of path change. This talk will allow the audience to related Human Intelligence with Artificial Intelligence.



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Date and Time

Location

Westin Harbour Castle Hotel

1 Harbour Square

Toronto, Ontario M5J 1A6

Canada

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