Dataiku Event

Big Data & AI Toronto

Dataiku: Everyday AI, Extraordinary People

Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

Schedule a meeting below.

Getting Business Value from AI: Everyday AI, Extraordinary People

Dataiku Keynote October 13 @ 9:00 am / Main Stage

Getting business value from AI comes down to making key processes and functions better, faster, or more cost-effective. The business plays a role here in having the ability to tackle both the mundane and the moonshot use cases with ease to enhance decision-making for everyone across the company. How can today’s organizations take advantage of the capabilities and best practices needed to derive real business value?

In this talk, Claire Gubian, Dataiku’s Global Head of Business Transformation, will share the key to maintaining business value that comes from applying AI to decision-making and enabling the power of the individual.

Dataiku @ Big Data & AI Toronto

NAM EVENT Big Data & AI Toronto - date for LP-High-Quality

Fireside Chat: Creating Transparent Data Science Pipelines with Points

October 13 @ 10:30 am / Conference Room

Leonid Gilburd, Senior Lead Data Scientist @ Points

Jag Gill, Head of Customer Success for Canada @ Dataiku

In this fireside chat, Leonid Gilburd, Senior Lead Data Scientist at Points speaks with Jag Gill, Head of Customer Success for Canada at Dataiku about what it means to build a centralized data pipeline to maximize time-to-value. 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.

NAM EVENT Big Data & AI Toronto - date for LP-High-Quality

Panel Discussion: Inspiring Women in Tech & Championing Data Leadership

October 13 @ 1:00 pm / Conference Room

Erin McGowan, VP of Sales Engineering - Americas @ Dataiku

Sonia Carreno, President @ Interactive Advertising Bureau of Canada (IAB Canada)

Alexandra Panousis, CEO & Chair @ Dentsu Media Canada

Sasha Fay, Director, Data Science & Research @ Cineplex

Linda Grasso, CEO @ Deltalogix

Kishawna Peck, Executive Director @ Toronto Womxn in Data Science

Our Program for October 14

It's Going to Be Great

Time Title Details
10:30 am Building Responsible, Human Centric AI Models Panel Discussion with Conor Jensen, VP of Data Science @ Dataiku
1:15 pm Dataiku End-to-End Platform Demo Join Dataiku’s Solutions Engineer, Andy Main, as he walks through Dataiku’s end-to-end AI capabilities including connecting to various data sources, preparing and enriching data, feature engineering, and building machine learning models and operationalizing them. You’ll learn how to navigate Dataiku as a user, including key concepts related to leveraging AI in your organization.

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