Upcoming events

    • 29 Sep 2022
    • 3:00 PM - 6:30 PM
    • Four Seasons Hotel Toronto, Vinci Ballroom, 60 Yorkville Ave, Toronto, ON

    Slalom consulting is holding an in-person AI event in partnership with AWS, Databricks and Tableau. Whether you are a beginner or a Veteran, this event will help you to take you and your organization to the next level in AI maturity. Since this is an in-person event, you will have the opportunity to network with AI experts and business leaders in Toronto.

    3:00PM - Cocktails and registration
    3:30PM - Presentation and Q&A
    5:00PM - Cocktails, hors d'oeuvres & social networking
    6:30PM - Departure

    Visit this page to register for this event.

    Meet the speakers

    Jennetta George | Global AI Leader | Slalom
    Jennetta George is a Global AI Leader at Slalom, with over a decade of experience working in data science. Jennetta comes from a public sector background, specializing on building NLP and predictive graph database solutions. She now focuses on helping executives and team leads unlock maximal potential from AI solutions across different industries and verticals, as well as helping to educate and enable data scientists on her teams.

    Rebecca Gonzales | Sr. Consultant, Responsible AI | AWS

    Rebecca Gonzales is a Sr. Consultant for Responsible AI at Amazon Web Services. Before her current role, she spent more than 20 years in the technology sector, has mentored international startups and women entrepreneurs, and was an entrepreneur running her own marketing consultancy. She is passionate about using technology to improve people’s lives. 

    Amir Meimand | Principal Solution Engineering | Tableau
    Amir Meimand is a Principal Solution Engineering at the strategic solution team focusing on Data Science and Machine Learning joining Tableau on 2019. Amir has 10+ years experience in building, deploying, and applying advanced analytics to solve enterprise business problems. Previously, he was the director of Data Science at Zilliant, a SaaS company providing machine learning solutions for B2B industries, lately acquired by Madison Dearborn. Amir’s current area of focus is scaling advanced analytics solutions by democratizing data science and machine learning. Amir holds a Ph.D. in Statistics and Operations Research from Pennsylvania State University, 2013.


    Reid Oliver | Regional Sales Director | Databricks
    Reid leads the Canada East Enterprise team at Databricks. His team covers Retail, Technology, Manufacturing/Energy, Communications, and Public Sector. Prior to joining Databricks, Reid spent 3+ years at Splunk helping to develop the Canadian market. 

    Alex Terado | Solutions Architect | Databricks
    Alex is a Solutions Architect at Databricks. In his role at Databricks, Alex works with customers to solve complex use cases leveraging Data Engineering, Machine Learning, and Cloud Architecture best practices. His current focus is on partnering with Canadian retail customers to derive value from their Databricks footprint. Prior to Databricks, Alex spent 3 years at SAS working on the Data Science and Financial Services teams, as well as a year as a Data Analyst at a start-up in Kingston.


    Mark Persaud | Solution Engineering Leader, D&A and AI | Slalom
    Mark has spent 25+ years working collaboratively with clients, practitioners, and partners to define and deliver transformational data and analytics initiatives. He played the role of Chief Data Officer at a Major Canadian Bank and is a board member at DAMA Toronto.​ Mark is a frequent conference speaker and lecturer on the trends, value, and leading practices implementation of Data Management and Governance, Architecture, and AI.​ At Slalom, he leads the Solution Engineering competency for D&A, working closely with our practices, partners, and data-driven organizations to strategize, build, and operationalize data and analytics capabilities that improve customer experiences, help mange risks, and grow businesses.
    • 20 Oct 2022
    • 10:30 AM
    • 21 Oct 2022
    • 8:00 PM
    • Virtual Event
    Canadian DAMA Days, is a 2 days National Data Management/Governance/Analytics Conference, that will be held simultaneously in five provinces across Canada by seven DAMA Chapters affiliated with DAMA International and representing regions containing 71% of the total population of Canada.  This will be a hybrid virtual/in-person delivery so that members from all Canada chapters can attend the virtual events.

    The audience will include  professionals from all areas of Data Management including Data Analysts, Data Architects, Data Governance Analysts, Data Protection & Security Professionals, Developers, Data Warehouse Specialists, Data Visualization Professionals, Machine Learning Engineers, Business Intelligence Professionals, and Artificial Intelligence Developers.

    Find additional information on the event here: https://ddcanada.org/

    The following schedule is still being tweaked.

    Talk Host City

     Calgary  Edmonton Ottawa
     Toronto  Vancouver

    Thursday October 20th, 2022

     Time(EST)  Track1  Track2  Track3
     10:00  Mario Cantin
    Lean AI Governance
     11:00  Kimberly Nevala
     Decision Intelligence - Putting Insight Into Action - SAS
     Trudy Curtis
    Data's Troubling Affair with Technology
     12:00  Chan Beauvais
    Costco - Data Analytics
     Karen Lopez
    Intro to the Azure Data Platform
     Steve Liang
    Director of the GeoSensorWeb Laboratory
     12:50  networking  networking  networking
     01:15  Deborah Henderson
    How and Why to get Data Management Certified
     Bradley Jensen
    The changing role of Data Scientists - Centric Consulting, ICCP
     02:15  break and networking   break and networking   break and networking
     03:00  Charles Buchanan
    Technology for Good
     Daniel Haight
    Visualization of Data Analytics
     Frank Kadwell
    Ethics in AI & ML
     04:00  Ellen Brown (DAMA Ottawa) - CDO Round Table
    The Data Driven Future
     Blair Kjenner & Kewal Dhariwal
    Mobilizing Data Integration Through Governance, Keys and Models
     04:50  networking  networking  networking
     05:15  Dylan Miles
    Data Palooza
     James Saikin
    Blockchain Hyper Ledger & Future
     06:15  Bruce Matichuk
    AI Driven Health Gauge Systems

    Friday October 21st, 2022

     Time(EST)  Track1  Track2  Track3
     09:00  Melanie Mecca
    Head in the Clouds, Feet on the Ground – Creating a Data Quality Strategy
     10:00  Howard Diesel
    Building a Data Career Strategy
     Douglas Laney
    Advanced Infonomics: Understanding and Applying the Economics of Information
     11:00  Dr. Peter Aiken
    Data Ethics
     12:00  Barbara Cohn
    Role of the CDO
     Lewis Eisen
    "I Love My Org's Data Policies", Said No One
     Alec Sharp
    DG - You Can't Govern what you don't Model
     12:50  networking   networking   networkiFFCC99ng
     01:15  Collibra
    A Fascinating Customer DG Story
     Alvin Francis
    Business Analytics at IBM
     Simon Pane
    Considering the Cloud, Key Things to Know in Advance
     2:15  break and networking
     03:00  Bill Inmon
    Draining the Data Lake Swamp
     Jeff Johnson
    DG - POS - Point of Sale uncontrolled
     Bruce McCartney
    Leveraging Data Vault for Better Answers,Capturing Knowledge, and Decision Making
     04:00  John Bottega - Pres, EDM Council
    DM Frameworks - What Does the Well-Dressed DM Program Look Like?
     Stephane Contre
    Data & Analytics - A Crime Reduction Strategy
     Prashanth Southekal
    Transitioning to Insight from Dat99CC66a Strategies
     04:50  networking  networking  networking
     05:15  Andrew Andrews - Adalaide, Australia
    The Human Factor of Data Governance
     Roman Eisner & Clayton Thomas
    Innovative Case Studies: Text Depot & Public Safety Analytics Progam

     DAMA-Toronto is sponsored by Collibra.

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