Upcoming and Past Events and shared Presentations
Learn about the data strategies employed at AMA to further their mission, increase customer satisfaction and increase market growth of their services. The AMA data group has been growing and is exploring business intelligence, data governance, data insight, visualization, location-based data, and cloud strategies.
Eric Dressler, AVP, Data & Analytics, leads a data team of over 30 experts in data engineering, data governance and data science; and an analytics team that focuses on business analysis, business intelligence, market research and Geographic Information Systems (GIS). These areas focus on big data technologies, machine learning and AI to support decision making, scheduling and dispatch of system resources such as road-size assistance, insurance, travel, registries, banking, driver education, driver exams marketing and rewards.
When: Thurs Nov 24, 2022, 5pm – 8pm (MT), 5.30pm-6.30pm Presentation
Guanjie Shen - June 7 - Databricks
Title: "Road to Lakehouse: A Brief History of Analytics"
Abstract: Lakehouse is the newest paradigm emerging for modern data analytics architecture. It combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID guarantees of data warehouses; enabling both business intelligence and machine learning workloads against a single source of truth.
In this talk, we will go back through the last 20 years and discuss how the different innovations in technology have impacted the way we think about data architecture leading up to the Lakehouse pattern.
Guanjie Shen is a Solutions Architect based in Calgary with multiple years of experience building enterprise data platforms. Currently, he is focused on helping Databricks customers in Western Canada scale out and modernize their data and AI capabilities.In his previous role at e-commerce start up he was responsible for designing real time business intelligence products using Spark Structured Streaming, Delta Lake and Apache Kafka. Prior to that, Guanjie was the technical lead for data and machine learning platforms at a multi-national oil and gas major.
DR. MAHDI SHAHBAKHTI, & STEPHEN LINDWALL) - APRIL 28 2022
Topic: Cooperative Truck Platooning Systems Trial
Speakers: Stephen Lindwall, Project Manager; & Dr. Mahdi Shahbakhti
Abstract: Learn about how data is managed and used in the cooperative movement between vehicles and the volumes of data and specific telematics used for communications, operation and safety for automated vehicles such as trucks.
A career project management professional with 20+ years of experience developing high-tech electronics products that generate high revenue and profit margins. He has extensive experience in leading large, global, cross-functional teams, including engineering and supply chain management, to deliver new products to market. Stephen has deep expertise and a passion for continuous improvement, systemization and methodologies for added-value outcomes."
Dr. Mahdi Shahbakhti
"Dr. Mahdi Shahbakhti is an Associate Professor of Mechanical Engineering at the University of Alberta. For several years Dr. Shahbakhti has worked to analyze how the dynamic automotive, robotic, and heating ventilation and air conditioning (HVAC) systems control our vehicles. His research has focused on increasing the efficiency of energy systems, working with the automotive industry on systems identification, physical modeling, combustion and hybrid electric engines, vehicle emissions systems, and both connected and automated vehicles. A career of research trials saw Mahdi well positioned to lead the instrumentation, data collection, and vehicle telematics portions of the Cooperative Truck Platooning System Project."
Joseph Paul May 20, 2021
William (Bill) Inmon
June 3, 2020: William (Bill) Inmon
Marcin mizianty Webinar
Marcin Mizianty, Vice President, AltaML
Title: Data Science, ML & AI used today with Business & Government Applications
ML/AI are key to business innovation, that speeds up the company and allow much greater insights into our customer, products and distribution data.
AltaML partners with industry to co-develop transformative AI/ML software leveraging real world data and machine learning expertise to solve core business problems.
We are looking for ML scientists and engineers as well as software developers interested in building ML powered systems.
NAIT: Data Science Education
Marcin co-designed and co-teaching Data Science Certificate. The certificate is targeted for people with no or basic knowledge about Data Science and is delivered in over 80 hours. It teaches about data analysis, data visualization, data mining, and machine learning.
The primary toolset is the python data science ecosystem (http://www.nait.ca/program_home_103349.htm)
ICCP: Certified Data Scientist
ICCP's Data Science Certification Program is available from:
Doug Laney Webinar
April 21, 2020
Speaker: Doug Laney
Topic: HOW DATA IS YOUR BEST DEFENSE IN A DOWNTURN
david Marco webinar
Mark Miskiman webinar
Mar 24, 2020
Speaker: Mark Miskiman
Title: AI and Cognitive Computing in Data Management
To Download Power Point Presentation: see below.
Feb 20, 2020:
Speaker: Denilson Barbosa
Title: Detecting and correcting typing errors in open Knowledge Graphs
To access the speaker presentation please use the link below
January 23, 2020: Karen Parker, City of Edmonton.
Title: How the City is using emerging technologies to improve services and experiences for its citizens
Speaker: Dec 12: Denilson Barbosa: Knowledge Graphs
Speaker Nov 21/2019: Dave Gajadhar,
June 27/2019: Cory Janssen (CEO, AltaML), How to talk to the business side about ML
May 2, 2019 Davood Rafiei - Natual Language Data Management & Interfaces
Feb 20th, 2019 Presentation Slides: Robert Perez - Data Governance
Nov 22, 2018 Presentation Slides: Dr. Osmar Zaiane - Machine Learning, Deep Learning, Artificial Intelligence (AMII, UofA)
Oct 10, 2018 Presentation Slides: Wilf Ulmer - Protecting your Information Assets
May 2, 2019: Davood Rafiei, Title. Natural Language Data Management and Interfaces
Data Management Conference - Canada