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Data Analytics and Artificial Intelligence in Business

  • 15 Sep 2022
  • 10:00 AM - 12:00 PM
  • 0


Registration is closed

We hear a lot about Big Data, Data Science, Data Analytics and Artificial Intelligence in the news. Join the Acadia Institute for Data Analytics, who will clarify these terms and provide a sense of the Data Analytics process for business owners, managers and other professionals who may be considering related projects.

The talk will provide an overview of Data Science, Data Analytics and Big Data. We will explore the relationship between Data Analytics and Business Intelligence with an emphasis on required resources and best practices for success. Along the way you will learn the basics about Data Warehousing, Data Engineering, and Data Visualization and gain a sense of how Data Mining methods and Machine Learning technology work to develop predictive models. We conclude with end with an examination of current trends in Data Analytics and key considerations and best practices for getting started in Data Analytics.

Please note, registration is limited. If you are unable to attend please contact

Meet the Presenters

Dr. Andrew McIntyre completed a Ph.D. in Computer Science at Dalhousie University in 2007. Andy’s focus has been machine learning with specific interest in evolutionary computation. His work has included a 10-year role as senior researcher with the Network Information Management and Security group at Dalhousie, working on computer gaming and behaviour mining applications. He was previously a postdoc with the department of Ophthalmology and Visual Science, investigating shape-based, predictive GP / imaging models and had further postdoctoral collaborations with National Research Council Canada Institute for Biodiagnostics Atlantic at the Neuroimaging Research Laboratory. Andy currently holds an adjunct professor designation at Dalhousie and an adjunct position with the Jodrey School of Computer Science at Acadia University with 19 publications and has been named on five US patents as of 2022. Andy assumed the role of Data Scientist at the Acadia Institute for Data Analytics (AIDA) as of October 2018. In October 2021, Andy was promoted to the role of Associate Director of AIDA

Dr. Danny Silver is the Director of the Acadia Institute for Data Analytics and a Professor in and former Director of the Jodrey School of Computer Science at Acadia University. His areas of research and application are machine learning, data science and data analytics and has published over 65 scientific papers in the areas of Transfer Learning and Lifelong Machine Learning. He was the President of the Canadian Artificial Intelligence Association (CAIAC) from 2009-11 and in 2016, he was awarded the Canadian AI’s Distinguished Service Award and made a CAIAC Fellow. Since 1993, he has worked on machine learning and data mining projects in the private and public sector providing technical consulting and project management services.

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