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EVERYDAY AI TORONTO
A Conference Presented by Dataiku
Arcadian Loft
401 Bay St. 8th Floor, Toronto, ON
Thursday, June 1, 2023
10:00am-6:00pm
Discover Real Use Cases & Solutions
The future of work is Everyday AI — that is, AI so ingrained and intertwined with the workings of the day-to-day that it’s just part of the business. But how can organizations get there?
The Everyday AI Roadshow features real-world stories from companies who have found success with AI across a range of themes, from empowering people to technological trends and everything in between.
MEET AI MAKERS OF ALL SHAPES
Speakers at Everyday AI Toronto
Alex Gobolos
Sr Sales Engineer
Dataiku
Jed Dougherty
VP Platform Strategy
Dataiku
Stephanie Bouzar
Director, Data Product
Air Canada
Christina Hsiao
Director, Technical Product Marketing
Dataiku
Amy Korosi
VP Data Enablement & Automation
Hudson's Bay Company
Jepson Taylor
Chief AI Strategist
Dataiku
Hervé Riboulet
Director Cargo Analytics & CRM
Air Canada
Rola El Sebai
Sales Engineer
Dataiku
Kelly Chambers
Analyst, Business Intelligence
Alberta Energy Regulator
Jerod Wagman, PhD
Senior Manager, Omnia AI
Deloitte Canada
Heather Ramsay
Director, Customer Success
Dataiku
Katerina Savchyn
Sales Engineer
Dataiku
Conor Jensen
Field Chief Data Officer
Dataiku
Aleksandar Simic
Chief Information Officer
Financial Services Regulatory Authority (FSRA)
Kirsten Hoogenakker
Sales Engineer
Dataiku
Dmitri Ryssev
Sales Engineer
Dataiku
Tezbir Singh
Managing Director and Head of Data & Analytics Capabilities
BMO
Olivier Sinquin
Senior Sales Engineer
Snowflake
EVENT THEMES
What You'll Hear
PRACTICING MLOPS
How to make model processes trusted, agile, and controlled to reliably deliver value at scale
THE LATEST IN DATAIKU
Exclusive previews of the newest features in Dataiku and how to start using them today
AUTOMATION AND EFFICIENCY
Best practices to build reusable data pipelines from start to finish
HANDS-ON HOW TO'S
Walk through high priority data projects and best practices in Dataiku with our expert engineers
MAXIMIZING DATA VALUE
How data teams can do more with less and deliver maximum value without sacrifice
WHAT'S NEXT
Explore what leaders predict for the next phases of data science & AI
DETAILED SCHEDULE
From the What, to the How
If you want to cut through AI hype and get down to real people executing on real use cases, the Everyday AI Roadshow is for you. Join experienced data and analytics practitioners and leaders for talks that are not just inspirational but also pragmatic.
Explore our agenda to see what's in store.
Speaker: Jed Dougherty, VP Platform Strategy
Speaker: Jed Dougherty, VP Platform Strategy
10:00am - 10:35am
Breakfast & Registration
Network, grab a bite to eat and get ready for the day ahead!
10:35am - 10:50am
Entering the Era of Everyday AI
Speaker: Jepson Taylor, Chief AI Evangelist at Dataiku
10:50am - 11:05am
Making Everyday AI A Reality
Speaker: Jed Dougherty, VP Platform Strategy
What does it mean to deliver Everyday AI, and how does Dataiku as a platform for design and delivery help you get there? Let's drill in to see the elements of Dataiku that help organizations quickly create high-quality AI outputs that incorporate the latest innovations from across the industry.
11:05am - 11:40am
Panel: Building a Case for Data Science
Featuring Amy Korosi from Hudson's Bay Company, Kelly Chambers from Alberta Energy Regulator, Hervé Riboulet from Air Canada and moderated by Conor Jensen from Dataiku.
Organizations have amassed data, invested in technologies, and cultivated analytical talent and the potential value of data science to the enterprise is clear.However, for many companies, a strong, data-driven culture remains an elusive goal. How can organizations ensure that their data science efforts aren’t just a one-off special project but rather become a capability embedded in every part of the organization?
IIn this session, business leaders from different industries share their unique journeys building a case for data science, from securing buy-in to actual implementation.
11:40am - 12:10pm
Closing Customer Spotlight: What Does Success in AI Mean?
Featuring Tezbir Singh from BMO and moderated by Conor Jensen from Dataiku
12:10pm - 1:30pm
Lunch & Networking
Grab a bite to eat and visit our demo stations to find out more about our History of Data Science experience, our business solutions, and our partners.
1:30pm - 2:05pm
Panel: Ensuring Short-Term Wins & Long-Term Transformation With AI
Featuring Olivier Sinquin from Snowflake, Stephanie Bouzar from Air Canada and moderated by Heather Ramsey from Dataiku.
As companies embark on their Data science journey, they find that return on investment does not stem from cost savings alone, but rather from strategic transformation.
This panel of industry leaders will provide insights to help you scale data science efforts more efficiently with actionable steps to spur strategic transformation across your organization.We will cover the tools, people, processes, and infrastructure needs to derive value from data.
2:05pm - 2:20pm
Fireside Chat with Deloitte Canada
Featuring Jerod Wagman, PhD from Deloitte Canada
2:20pm - 2:45pm
Panel : What is of interest right now?
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2:45pm - 3:15pm
Break
Time to meet our partners, grab a snack, and network with other leaders and doers in data science.
3:15pm - 4:45pm
Hands-On Labs
Due to limited space, Hands-On Labs require pre-registration and are offered on a first-come, first-served basis to in-person attendees only. Laptops are required for these sessions.
Hands-On Lab: Zero To Sixty: Data Prep | 3:15pm - 3:45pm
In this first part of the hands-on lab, you'll create a simple Dataiku project and explore, blend, and prepare source data.
Hands-On Lab: Zero to Sixty: Modelling | 3:45pm - 4:15pm
In this second part of the hands-on lab, you'll train a machine learning model and score new data, and visualize and publish results - all using only the visual interface.
Build Once, Reuse Forever | 4:15pm - 4:45pm
Endlessly pulling and wrangling data for both recurring and ad hoc analyses is not only tedious, but also keeps you from pursuing higher value work. Learn how to automate pieces of your projects (no coding required!) so that you can build once, then set it and forget it.
3:15pm - 4:45pm
TechTalks
Our expert instructors walk you through the use-cases and topics atop everyone's must-do list. TechTalks will be live-streamed in addition to the morning content.
Removing Friction from Your MLOps Processes | 3:15pm - 3:45pm
It can take up to nine months for teams to go from the Proof-of-Concept stage to the Production stage when trying to build ML into their processes. In this context, how do you remove frictions from your MLOps process and make your model processes trusted, agile & controlled, so that you can finally deliver more value from your model & analytics faster?
Beyond the Spreadsheet | 3:45pm - 4:15pm
Maximizing Dataiku with Code | 4:15pm - 4:45pm
Dataiku is for developers too, with dozens of ways to interact with code in your projects. Use Dataiku APIs to programmatically perform tasks, build custom models and visualizations, extend the platform's functionality, and create and share custom code with your team.
3:15pm - 4:45pm
Dataiku Demos & Executive Meetings
Opportunities to meet with our executive team and the event sponsors.
Dataiku Demos
Get a quick demo of Dataiku and explore how Dataiku's pre-built industry solutions can help you expedite your journey to Everyday AI.
Pre-booked Executive 1:1 Meetings
Meet with one of our onsite executives to explore how Dataiku can best support your journey to Everyday AI. Request a meeting here.
4:45pm - 4:50pm
Networking Reception
Wrap-up and Closing
Conor Jensen, Field Chief Data Officer at Dataiku
4:50pm - 6:00pm
After Data Drinks hosted by Dataiku Canada
Light bites, cocktails, and N/A beverages
JOIN EVERYDAY AI TORONTO
Registration is subject to a qualification process and approval. Please complete the form below and we will be in touch to confirm your access.
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