Data Management Conference - Canada (Edmonton) October 25-26-27, 2018

The main website is http://dmc-conf.com Your full registration gains you access to the pre-conference workshop, 2 days of conference and hands-on workshops on Saturday. Speakers (To Be Confirmed): Ziya Ma (founder Women in Big Data - Intel), Amanda Holden (Leading Women in Technology - Practice Leader - SAS - Big Data for Fraud and Security Intelligence), Karen Lopez - InfoAdvisors - Big Data and Security), Kathy Rondon (Public Sector Data Governance & Data Curation), Elena Sinelnikova (Cryptochicks - may be able to hold a crytochicks hackathon), Giri Berenstein (Analytics and Big Data Expert - Groundswell), David Marco (EW Solutions Inc. - Author Metadata Management; Data Management, Data Governance, Consultant),  Dr. Bradley Jensen (Head Data Scientist, Accenture - Bradley will focus on the Blockchain Certification Program at ICCP), Dr. Kewal Dhariwal, Author Complete Guide to Professional Computing and founder of the Certified Data Professional (formerly CDMP) and Certified Business Intelligence Professional (CBIP) programs. Dr. Jerry Luftman: How the C-Suite has to drive profit growth from digital resources (former CIO for IBM), James Saikin (rated the best COO by many large corporations - talking about Blockchain for Financial markets) and many more notable global authorities and local talent from Alberta. Data Management Conference Canada runs in Calgary, and Edmonton on an annual basis. It provides world class presenters at a low cost to regional attendees who often are unable to attend the expensive international events.  The focus is on data analytics and the use of data for business decision making.  How to provide for the needs of business by data managers, data stewards, business analysts, project managers, interface designers for management reports, data visualization experts and data architects having to handle both the security, privacy and volume of data needs.  The latest technologies in listening to the customer (social media analytics), plus future oriented systems integrations involving secure data exchange (Blockchain), Core Data Models, & Application Frameworks, plus large databases, cloud solutions, data lakes and cyber and information security, machine learning, and artificial intelligence are presented.