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Data Management ConferenceEdmonton 2019
October 23-26, 2019 Intelligent Automation, Extended Intelligence, Data Science, Business Analytics, Internet of Things, Business Intelligence, Data Management, Data Modeling, Data Architecture, Blockchain and Cryptography, Data Governance, Data Stewardship, Machine Learning, Artificial Intelligence, Data Security & Protection Theme: INTELLIGENT ANALYTICS |
During October 2019, the Data Management and Intelligence Conference returns to Edmonton for the fifth year, hosting both regional subject matter leaders and internationally known experts in the DATA MANAGEMENT & ANALYTICS field. The theme for this fall's conference is Intelligent Analytics: (Intelligent Automation), & Extended Intelligence (MIT-CSAIL).
The 2019 fall Data Management Conference will again bring a diverse group of industry professionals and speakers together to explore Data Science, Business Analytics, the Internet of Things, Blockchain Management and Cryptography, Streaming Data Analytics, Business Intelligence, Data Management, Data Modeling, Data Architecture, Data Governance, Data Stewardship, Machine Learning, Artificial Intelligence and Data Security
The Data Management Conference is an exciting multi-day learning opportunity comprised of two days of industry expert speakers and two full days of hands education-focused workshops. Plus Certification opportunities for Business, Data and Computing Professionals. This year the workshops provide a full day of pre-conference workshops featuring both lecture based and hands on learning opportunities on subject matter including methodology, executive guidance on data governance. and data strategy. the post-conference workshops provide for professional certification, and hands-on experiences with intelligent data analytics using a variety of industry leading products.
Over the course of the conference you will learn about new innovations in our field, methodologies and case studies using creative approaches to successfully solving complex problems.
The 2019 fall Data Management Conference will again bring a diverse group of industry professionals and speakers together to explore Data Science, Business Analytics, the Internet of Things, Blockchain Management and Cryptography, Streaming Data Analytics, Business Intelligence, Data Management, Data Modeling, Data Architecture, Data Governance, Data Stewardship, Machine Learning, Artificial Intelligence and Data Security
The Data Management Conference is an exciting multi-day learning opportunity comprised of two days of industry expert speakers and two full days of hands education-focused workshops. Plus Certification opportunities for Business, Data and Computing Professionals. This year the workshops provide a full day of pre-conference workshops featuring both lecture based and hands on learning opportunities on subject matter including methodology, executive guidance on data governance. and data strategy. the post-conference workshops provide for professional certification, and hands-on experiences with intelligent data analytics using a variety of industry leading products.
Over the course of the conference you will learn about new innovations in our field, methodologies and case studies using creative approaches to successfully solving complex problems.
Dynamic Speakers. Cutting-edge Insights.
While we have confirmed many of the speakers, these are always subject to change due to travel and personal situations resulting in last minute changes. Each of our speakers has been chosen specifically because they are locally or internationally recognized experts in their field.
For 2019, the theme we have chosen is applying and Extending Intelligence and Artful Analytics (Intelligent Automation) the applications for Machine Learning and Artificial Intelligence techniques to complex data challenges. Edmonton is recognized world wide as the leader in reinforcement learning (machine learning) and Artificial Intelligence.
Check out our speaker roster here...
While we have confirmed many of the speakers, these are always subject to change due to travel and personal situations resulting in last minute changes. Each of our speakers has been chosen specifically because they are locally or internationally recognized experts in their field.
For 2019, the theme we have chosen is applying and Extending Intelligence and Artful Analytics (Intelligent Automation) the applications for Machine Learning and Artificial Intelligence techniques to complex data challenges. Edmonton is recognized world wide as the leader in reinforcement learning (machine learning) and Artificial Intelligence.
Check out our speaker roster here...
Conference Schedule
OCT 23
8.30am- 9.30am: Registration
Pre-conference Workshops (Ground floor - WB114 - HP Center (115-116 Street Princess Elizabeth Ave, Edmonton)
9.30am - 12.00pm Morning Session: Monetizing Data Management: Showing the Concrete ROI & Costs of Poor & Good Data Management (Data BluePrint - Peter Aiken)
12pm-1.00pm Lunch (Vegetarian Options available)
1.00pm -4.30pm Afternoon Session: "How to Succeed with Self-Service Analytics: Organizational, Architectural, and Governance Strategies." (Eckerson Group - Wayne Eckerson)
1.00pm-4.30pm: Afternoon Session: Making Intelligent Analytics Real - Hands-on Workshop with Mark Miskiman (SAS)
OCT 24 (Shaw Theater - opposite NAIT Bookstore - 50 yards from the NAIT LRT Station)
7.45am-8.30am: Breakfast and Registration
(Full) 11.30am-13.30pm: Executive Lunch -discussion forum - led by Wayne Eckerson (By Invitation Only) - if you are an executive and wish to join us - contact bhiew@telus.net (Full)
8.30am - 9.30am Wayne Eckerson (Eckerson Group: "The Coming Data Divide: How to Join the Data Elite")
9.35am - 10.20am Rob Novotny (Groundswell: Impactful Intelligence - "It's not about tech, it's all about the use case" )
10.20am - 10.35am Coffee Break & Booths
10.35am -11.20am Peter Aiken (Data BluePrint - Triple Play: Leveraging data requires leadership, value & strategy)
11.25am - 12.10pm Ewan Affleck (UofC - Centralizing, Accessing & Mobilizing Medical Records)
12.10pm - 1.10pm Lunch & Booths
1.10pm - 1.55pm Steve Holder (SAS: The role of Intelligent data to drive your AI strategy)
2.00pm - 2.45pm Justin Langseth (Snowflake: - The Path to Secure Data Sharing and Monetization)
2.45pm - 3.00pm Coffee Break & Booths
3.05pm - 3.50pm Eric Dressler (AMA - Using Intelligent Data Analytics to improve service to the customer)2
3.55pm - 4.40pm Dongxiao Qiu, Beijing Tsingdata Tech Development Ltd., Co. (Big Data, ML & AI - the Big Data Hub and D-Lab in Beijing)
4.40pm - 6.30pm: Attendees Reception
OCT 25 (Shaw Theater - opposite NAIT Bookstore - 50 yards from the NAIT LRT Station)
7.45am-8.30am : Breakfast and Registration
8.30am - 9.30am Cory Janssen (AltaML - How to talk to the Business about the value of ML - what is intelligent analytics?)
9.35am - 10.20am Chan Beauvais (COSTCO - The Business Case for Diagnostic and Forensic Analytics)
10.20am - 10.35am Coffee Break, Booths
10.35am - 11.20am Susan Earley (Transform Holdco LLC - Sick Unable to Travel) replaced by Chan Beauvais (Costco- Implementing Best Practices via Generally Accepted Data Management Principles)
11.25am - 12.10pm Bruce Matichuk (Salu - The Business Case for ML/AI, IoT & Intelligent Automation of business processes)
12.10pm - 1.10pm Lunch & Booths
1.15pm - 2.00pm Michael Lo & Parul Kalve (Silver Creek & CWB - Data Governance: A coming-of-age story)
2.05pm - 2.50pm Osmar Zaiane (AMII - How Machine Learning will transform businesses?)
2.50pm - 3.05pm Coffee Break & Booths
3.10pm - 3.55pm Vernon Tan (Snowflake SE - A customer case study in the use of Cloud Data Warehousing)
4.00pm-4.45pm David Horvath (Midsize Regional US Bank - Data wrangling in highly regulated industries)
4.45pm - 5.00pm Door Prizes
OCT 26 (Ground floor - WB114 - HP Center (115-116 Street Princess Elizabeth Ave, Edmonton)
(Saturday Workshops. am: 9am-12pm; pm: 1.00pm-4.00pm)
Some sessions will require your own computer
8.00am-9.00am Registration
9.00am - 12.00pm
1. ICCP Certification: Exam Preparation and Sample Questions review of knowledge and skill requirements (Kewal Dhariwal)
2. Data Wrangling - Hands-on Technology workshop using SAS and Unix/Linux Command Line Tools (How a data engineer makes data available to the data scientists - providing access to diverse data sets: David Horvath)
12pm-1.00pm Lunch (Vegetarian Options available)
1.00pm - 4.00pm
3. ICCP Certification Exams: Sit for up to 3 ICCP examinations on a "pay-if-you-pass" basis (certifications: www.iccp.org) (ends 5.30pm)
4. Architecture Landscape Mapping Best Practices (Susan Earley- Sick unable to travel replaced by Wilf Ulmer)
More information on workshops:
· Trends and business dynamics driving analytics adoption
· The conundrum of self-service analytics
· Success factors for leading a successful BI program
· How to survive and thrive in the new world of big data analytics
· How to increase user adoption and facilitate self service
Here’s what you’ll learn:
Oct 26th
More information
Workshops are located in the Corporate Computer Training Center in the HP Building (registration desk: WB114)
Note: Computers will NOT be supplied to you, so do bring your own laptop. Some of the workshops are detailed presentations / discussion of topics in depth.
OCT 23
8.30am- 9.30am: Registration
Pre-conference Workshops (Ground floor - WB114 - HP Center (115-116 Street Princess Elizabeth Ave, Edmonton)
9.30am - 12.00pm Morning Session: Monetizing Data Management: Showing the Concrete ROI & Costs of Poor & Good Data Management (Data BluePrint - Peter Aiken)
12pm-1.00pm Lunch (Vegetarian Options available)
1.00pm -4.30pm Afternoon Session: "How to Succeed with Self-Service Analytics: Organizational, Architectural, and Governance Strategies." (Eckerson Group - Wayne Eckerson)
1.00pm-4.30pm: Afternoon Session: Making Intelligent Analytics Real - Hands-on Workshop with Mark Miskiman (SAS)
OCT 24 (Shaw Theater - opposite NAIT Bookstore - 50 yards from the NAIT LRT Station)
7.45am-8.30am: Breakfast and Registration
(Full) 11.30am-13.30pm: Executive Lunch -discussion forum - led by Wayne Eckerson (By Invitation Only) - if you are an executive and wish to join us - contact bhiew@telus.net (Full)
8.30am - 9.30am Wayne Eckerson (Eckerson Group: "The Coming Data Divide: How to Join the Data Elite")
9.35am - 10.20am Rob Novotny (Groundswell: Impactful Intelligence - "It's not about tech, it's all about the use case" )
10.20am - 10.35am Coffee Break & Booths
10.35am -11.20am Peter Aiken (Data BluePrint - Triple Play: Leveraging data requires leadership, value & strategy)
11.25am - 12.10pm Ewan Affleck (UofC - Centralizing, Accessing & Mobilizing Medical Records)
12.10pm - 1.10pm Lunch & Booths
1.10pm - 1.55pm Steve Holder (SAS: The role of Intelligent data to drive your AI strategy)
2.00pm - 2.45pm Justin Langseth (Snowflake: - The Path to Secure Data Sharing and Monetization)
2.45pm - 3.00pm Coffee Break & Booths
3.05pm - 3.50pm Eric Dressler (AMA - Using Intelligent Data Analytics to improve service to the customer)2
3.55pm - 4.40pm Dongxiao Qiu, Beijing Tsingdata Tech Development Ltd., Co. (Big Data, ML & AI - the Big Data Hub and D-Lab in Beijing)
4.40pm - 6.30pm: Attendees Reception
OCT 25 (Shaw Theater - opposite NAIT Bookstore - 50 yards from the NAIT LRT Station)
7.45am-8.30am : Breakfast and Registration
8.30am - 9.30am Cory Janssen (AltaML - How to talk to the Business about the value of ML - what is intelligent analytics?)
9.35am - 10.20am Chan Beauvais (COSTCO - The Business Case for Diagnostic and Forensic Analytics)
10.20am - 10.35am Coffee Break, Booths
10.35am - 11.20am Susan Earley (Transform Holdco LLC - Sick Unable to Travel) replaced by Chan Beauvais (Costco- Implementing Best Practices via Generally Accepted Data Management Principles)
11.25am - 12.10pm Bruce Matichuk (Salu - The Business Case for ML/AI, IoT & Intelligent Automation of business processes)
12.10pm - 1.10pm Lunch & Booths
1.15pm - 2.00pm Michael Lo & Parul Kalve (Silver Creek & CWB - Data Governance: A coming-of-age story)
2.05pm - 2.50pm Osmar Zaiane (AMII - How Machine Learning will transform businesses?)
2.50pm - 3.05pm Coffee Break & Booths
3.10pm - 3.55pm Vernon Tan (Snowflake SE - A customer case study in the use of Cloud Data Warehousing)
4.00pm-4.45pm David Horvath (Midsize Regional US Bank - Data wrangling in highly regulated industries)
4.45pm - 5.00pm Door Prizes
OCT 26 (Ground floor - WB114 - HP Center (115-116 Street Princess Elizabeth Ave, Edmonton)
(Saturday Workshops. am: 9am-12pm; pm: 1.00pm-4.00pm)
Some sessions will require your own computer
8.00am-9.00am Registration
9.00am - 12.00pm
1. ICCP Certification: Exam Preparation and Sample Questions review of knowledge and skill requirements (Kewal Dhariwal)
2. Data Wrangling - Hands-on Technology workshop using SAS and Unix/Linux Command Line Tools (How a data engineer makes data available to the data scientists - providing access to diverse data sets: David Horvath)
12pm-1.00pm Lunch (Vegetarian Options available)
1.00pm - 4.00pm
3. ICCP Certification Exams: Sit for up to 3 ICCP examinations on a "pay-if-you-pass" basis (certifications: www.iccp.org) (ends 5.30pm)
4. Architecture Landscape Mapping Best Practices (Susan Earley- Sick unable to travel replaced by Wilf Ulmer)
More information on workshops:
- Monetizing Data Management: Showing the Concrete ROI & Costs of Poor & Good Data Management (Peter Aiken)
- Organizations have lost millions due to poor data management practices but remain unaware of the root causes of their losses. Unless IT professionals can monetize these lost opportunities and their related costs, gaining executive-level approval for basic data management investments will continue to be difficult to justify. This workshop illustrates how to identify specific costs of poor data management practices using broad number of real cross sector examples. As oil and gas operators begin to see poor data management practices as the root cause of many of their problems, they will be more than willing to make the required investments in our profession. Tangible take-aways will include:
- Understand how to excel at the process of assigning monetary costs to poor data management. Although it’s new, it’s not rocket science and with practice, organizations can become quite good at it.
– Learn from real-world cross-sector examples of overcoming poor data management and how these readily transfer to other industries.
– See how the process of adding up the hidden costs of poor data management is exactly the same as accumulating the hidden benefits of good data management.
– Hear how many parts of the data logistics value chain can be improved to drive business value.
– Explore the non-monetary costs as well as strictly monetary to build a better business case.
– Discuss the important legal implications you need to be aware of. - How to Succeed with Self-Service Analytics: Organizational, Architectural, and Governance Strategies." (Eckerson Group - Wayne Eckerson)
- Self-service analytics has been the holy grail of data analytics leaders for the past two decades. Although analytical tools have improved significantly, it is notoriously difficult to achieve the promise of self-service analytics. This session will explain how to empower business users to create their own reports and models without creating data chaos. Specifically, it examines seven factors for leading a successful BI program: right roles, right processes, right tools, right organization, right architecture, right governance, and right leadership. Ultimately, it will show how to build a self-sustaining analytical culture that balances speed and standards, agility and architecture, and self-service and governance.
· Trends and business dynamics driving analytics adoption
· The conundrum of self-service analytics
· Success factors for leading a successful BI program
· How to survive and thrive in the new world of big data analytics
· How to increase user adoption and facilitate self service
- SAS - Making Intelligent Analytics Real - Hands-on Workshop with Mark Miskiman (SAS)
Here’s what you’ll learn:
- How to drive an analytics culture and support all users in your organization, not just programmers
- Go from data to insights faster and more confidently
- Perform data exploration, standardization and mash-ups quickly and easily
- Implement compelling dashboards, reporting and analytics
- Perform reporting, exploration and data mining/machine learning all in the same interface
- Build advanced machine learning models with automated interpretation and assessment
Oct 26th
- ICCP BootCamp: Certification & Examinations: Enjoy the opportunity to learn about emerging technology credentials and what they will do for your career. Prepare to take the certification examinations in Business Intelligence and Data Management and leave the conference with one or more certifications in Blockchain, Cyber Security, Data Governance, Data Management, Data Science, Business Intelligence or applications development). This is a Certification and Examinations BootCamp Session with Kewal Dhariwal in the morning.
- Examination Sessions: You can take up to 3 examinations in the afternoon on a "Pay if you Pass" basis., Bring your own computer.
- Data Wrangling - Hands-on Technology workshop using SAS and Unix/Linux Command Line Tools - David Horvath.
- Data Engineering or Data Wrangling - is the process of cleaning and unifying messy and complex data sets for easy access and analysis. In the context of Business Intelligence, Data Wrangling is converting raw data into a form useful for aggregation/consolidation during data analysis. This includes merging, grouping, concatenating, and structuring of data.
- You will learn
- How to access data from diverse data sources
- Prepare (clean and make available) usable data for data analytics, with a good degree of confidence in data quality
- How and when to use SAS, “R” or Python and other technologies
- Architecture Landscape Mapping Best Practices (Susan Earley)
- Focus: Business/Strategic
Visualization of Architectures can be difficult with many people using many tools, icons, and techniques for displaying architecture objects. This presentation will help give you justification for creating and using templates for architecture that can be the start of a library of re-usable documentation, and illustrate the need for changes in your architecture landscape.
-Architecture visualization use cases
-Visualization best practices
-Standard icon library and legend creation
-Standard template creation
-Mapping library organization
-Getting started with support organizations
More information
Workshops are located in the Corporate Computer Training Center in the HP Building (registration desk: WB114)
Note: Computers will NOT be supplied to you, so do bring your own laptop. Some of the workshops are detailed presentations / discussion of topics in depth.