A lot of excellent information was presented. Great resource material to follow up on. - Associate Vice-President, Financial Services
University of Saskatchewan
Unlock the Value in Your Data to Enhance Evidence-Based Decision-Making in Your Organization!

Big Data & Analytics for the Public Sector

Advance your knowledge in government-utilized predictive analytics, data visualization and artificial intelligence

October 1-2, 2019 · Ottawa, Ontario
Featuring These Industry Experts

Mark Armstrong, Deputy Chief Information Officer, Natural Resources Canada

Mark Armstrong is a data and information technology leader who has worked for the Federal Government for 17 years. He has a Degree in Computer Science (Major) and Environmental Science (Minor) from the University of Guelph. Mark started his career at Environment Canada (EC) out of Toronto, before moving to Ottawa. Over the last 17 years, Mark has worked for EC, TBS and PSPC and is now Deputy CIO here at NRCan. He has principally focused on data, and data services, but has also lead and directed large IT projects and teams. Mark cares about the bigger picture and doing quality work that has meaning. In his last role as Chief Data Officer, at PSPC, Mark championed the value of data and worked to break down cultural barriers to prompt the use and dissemination of data for smarter government.

Eric Rancourt, Director General of the Methodology Branch, Statistics Canada

Eric has worked at Statistics Canada for 29 years. He has occupied several roles such as Director General of Strategic Data management, Director of International Cooperation, Director of Corporate Planning, Head of research, Production manager of Survey Methodology Journal, and researcher. His main areas of work have been on how to gather, safeguard and use administrative and alternate data in statistical programs. He has been involved in many professional associations and is an International Statistical Institute (ISI) elected member.

Mana Azarm, Senior Data Analytics Strategist, City of Ottawa

Born and raised in Tehran, Iran, Mana moved to Canada to continue her higher education. With a degree in Information Technology Management, she continued onto grad school for a Master’s in Systems Science and PhD in Electronic Business at the University of Ottawa. She has over 10 years of experience in Business Intelligence and Data Analytics mostly in the healthcare industry. She developed healthcare data management applications for The Ottawa Hospital, and the Bruyere Hospital while completing her Master’s degree. Mana worked at Champlain CCAC and later Champlain LHIN as a business intelligence developer for five years, where she developed the data infrastructure, built dashboards to support executive decision-making, and developed web-applications to utilize data for front line staff. Since October 2017 Mana has worked in Service Innovation and Planning department at the City of Ottawa to support City’s 100+ businesses with various data analytics projects.


Tony Bonen, Director of Research, Data & Analytics, Labour Market Information Council (LMIC)

Tony Bonen is a seasoned economist with over 10 years of experience in economic policy and analytics. His previous research focused on labour and retirement security, the economics of climate change and panel data econometrics. Prior to joining LMIC, Mr. Bonen led the development and integration of CMHC’s Economic Capital and housing price stress test models. Previously, he worked at the Schwartz Center for Economic Policy Analysis, NATO Parliamentary Assembly and CSR Europe. Mr. Bonen holds a PhD in Economics from the New School for Social Research.


Ken Holmes, CPA & Doctoral Student, American Military University

Ken is a CPA with expertise in Management Information Systems Audit, a specialist in finance/economic analysis, and expert in Standard and Poor’s country and corporate credit analytics. Ken graduated from American Military University (AMU) with a Master of Arts, Intelligence Studies. As a forensic researcher with 25 years of experience, his mix of intelligence, business analysis and MIS audit, he is in a unique position to address how to mitigate risks through a process of creative auditing. Recently AMU invited Ken to enter their Doctoral Program in Strategic Intelligence Analysis, a field of studies created by the US Defense Intelligence Agency in conjunction with the university.


Nader Shureih, Director, Business Development - Public Sector & Education, Environics Analytics

Since 2002, Nader Shureih has worked in the public, private, non-profit and education sectors as a marketer, market research professional and academic. He now serves as Director of Business Development in EA’s public sector practice. In his current role, Nader helps clients across local, provincial and federal departments and agencies better understand their jurisdictions and serve and communicate with their residents. Prior to joining EA, he taught market research at the post-secondary level and managed the market research function at the Government of Canada.


Paul Lewis, Global Vice President & Chief Technology Officer, Hitachi

Paul is Global Vice President and CTO at Hitachi Vantara responsible for the leading technology evangelism, client executive advocacy, and external delivery of the Hitachi vision and strategy especially related to Digital Transformation and Social Innovation. Paul leads the global Chief Technology Office, advancing the capabilities of CTO’s for Government, Financial Services, Telecom, Energy, Healthcare and Industry 4.0, plus the global Enterprise Architecture practice and the global System Integrator technology team. The Industry and Enterprise Architecture group combines vertical and IT practice expertise to amplify customers’ insight in their digital transformation journey.

Additionally, through various technology and industry publications, Paul interprets and translates complex technology trends including Digital Transformation, Agile IT, Data Mobility, Governance, IoT, Analytics and the role of the CxO. In his role of trusted advisor to the CIO/CTO community, Paul’s explicit goal is to ensure clients’ problems are solved and opportunities realized through the use of ecosystems of talent, technology and information.

Prior to joining Hitachi, and for the past 25 years as a client, Paul has focused on technology R&D and innovation, IT/business strategic plans and governance, security and risk management, software and infrastructure architecture as the CTO and Senior Executive Technologist of several financial services organizations from start-ups to large business services providers. Paul is a frequent speaker at technology and industry events as well as a reoccurring lecturer at various higher educational institutions on topics ranging from IT leadership to Big Data/Internet of Things. Paul also serves as a member of Masters of Business Analytics (MBAN) advisory board at Schulich School of Business, the IT Media Group’s advisory board, and the Trusted Advisory Board proving guidance on compelling issues and topics for CIOs and the vendors that serve them, ensuring that the company remains relevant and valuable to both communities.


Nicholas Denis, Data Scientist, Statistics Canada

Nicholas is a data scientist at the Data Science Accelerator (DSA) within Statistics Canada and is currently transitioning to production a deep Bayesian ResNet for in-season crop regression from satellite imagery. Prior to joining the DSA, Nicholas has implemented a wide variety of machine learning solutions for different organizations within Ottawa, including ISP network traffic modelling, provincial election predictions and optimization of post-operative clinical decision support at the Ottawa Hospital Research Institute. Nicholas specializes in reinforcement learning and sequential decision processes, which was the focus of his recent M.Sc. in Mathematics.


Stan Hatko, Data Scientist, Statistics Canada

Stan Hatko is a data scientist in the Data Science Division within Statistics Canada who has worked on several projects, including retail scanner data large scale data processing and classification to the North American Product Classification System (NAPCS), trucking commodity data classification to the Standard Classification of Transported Goods (SCTG), error detection and correction in international trade data, and detecting greenhouses from satellite images. Prior to joining Statistics Canada, Stan has worked at the Bank of Canada where he provided various machine learning and statistical services to a research team. Stan has an M.Sc. in Mathematics from the University of Ottawa, in which he specialized in studying the theoretical properties and practical use of alternative distances for the k-nearest neighbour (k-NN) classifier.


Monica Pickard, Acting Chief, Data Science Division, Statistics Canada

Monica Pickard is an acting chief in the Data Science Division within Statistics Canada. Monica manages multiple projects which include a variety of machine learning algorithms in the area of unstructured text classification, satellite images classification, structured and unstructured PDF extraction and classification. Many of these projects involve large data sets. Prior to joining the Data Science Division in Statistics Canada, Monica worked as an Enterprise Portfolio Manager, acting as a Statistics Canada focal point for the 25 major corporations within her portfolio. Monica has been working for Statistics Canada for the past 12 years and prior to that in Europe in the private Sector as an economist. Monica has an M.Sc. in Agriculture Economics from McGill University.







Platinum Sponsor

Hitachi Vantara


Bronze Sponsor

Environics Analytics


The amount of data that's available for public use is exploding, and as such, implementing big data projects is becoming a major priority across the public sector. Big data, analytics, and business intelligence provide limitless opportunities for improving service delivery, informing policy decision-making, and boosting organizational performance. The public sector is under increasing pressure to ensure ease of use, reliability, speed, and access to their services, for all citizens.

However, there are still numerous hurdles to overcome before you can take advantage of big data's opportunities. These challenges include securing organizational buy-in, complying with privacy and legal regulations, and breaking down silos to effectively collaborate with different departments.

INFONEX's two-day Big Data & Analytics for the Public Sector will help you understand the benefits and pitfalls of big data and how it can be used to improve business functions and secure competitive advantage. Our faculty of leading experts will provide you with strategies for overcoming hurdles, securing buy-in, gathering and integrating your data, and leveraging your data to improve services and policy decisions.

Learn how to extract relevant information from data that can be used to make better organizational decisions. Get tips for overcoming challenges of implementing and maintaining a data governance program. Uncover ways to mitigate performance risks with business intelligence. Examine proven techniques for measuring the performance of your analytics and manage legal and privacy issues surrounding business intelligence.

Join us in Ottawa to learn the best practices for collecting and leveraging big data and analytics. Register today!

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