A talk on AI (Artificial Intelligence) titled “Managing the development of AI and Machines that learn” presented by the CEO of nuenergy.ai, Niraj Bhargava. Abstract: It is widely acknowledged that AI technology will transform organizations and society around the globe – and with recent advancements in processing power, data accessibility, and algorithms we suddenly find ourselves at the beginning of this transformation. Introducing the Machine Trust Index (MTI), assisting us to boldly proceed with a responsible, innovative spirit. The goal of the MTI is to establish an open and versatile framework for measuring and managing trust in the evolving sphere of AI. The MTI provides measurable evidence, transparency and accountability of an AI solution, allowing providers to effectively communicate the value of their solutions as well as their measurable trustworthiness. Biography: Niraj Bhargava is Founder and CEO of NuEnergy.ai, the developers of the Machine Trust Index™ (MTI) for managing AI deployments. He is also Chair of the Innovation Committee of the Board at the Royal Ottawa. Niraj was President and CEO of Enerstat Limited, and led it through its turnaround and acquisition, Founding CEO of QCED Inc., a faculty member in Entrepreneurship at Queen’s University, a Director of the Queen’s Executive MBA, and then Dean of the Business School at Royal Roads University. Niraj practiced engineering at Bell-Northern Research and global marketing at General Electric and was the founding General Manager of GE Energy Management. Niraj was the founding CEO of Fluent.ai in Montreal and Co-Founder, Chairman and Chief Executive Officer of Energate Inc.    

Why should you attend? Data analytics is a priority for many organizations Many jobs now call for some level of analytic knowledge Storytelling with data will soon become a “must have” skill What is Cognos Analytics?  “IBM® Cognos® Analytics integrates data preparation, reporting, modeling, self-service analysis, dashboards, stories, event management and now automated predictive analytics into one stack. Moreover, the the latest release makes extensive use of AI, including machine learning, natural language processing (NLP) and natural language generation (NLG), in order to automate as many features for the end-user as possible, in an effort to make BI, analytics and predictive analysis easy for business users.” About the speaker: Mohammed Omar Khan is an Offering Manager on the IBM Cognos Analytics. He works with the development, design, sales, marketing, support, and more teams to make Cognos Analytics a leader in the BI market. He is a Carleton University Alumni. Some of his achievements include 2nd place in Data Day 5.0 Poster Competition held at Carleton University, IBM VP Award, and IBM Managers Choice Award.

Precise and reliable positioning recently became a critical property of autonomous vehicles like drones, driverless cars and more. Tallysman Wireless will explain why the GNSS antenna is the most important component for accurate positioning and will present the challenges of selecting the appropriate GNSS antenna for diverse types of autonomous vehicles. Multiple properties of a GNSS antenna like its phase center variation, ability to reject interferences or multipath and sensibility to its environment will be analyzed and guidelines will be proposed. Refreshments will be served! BIOGRAPHY: Julien Hautcoeur received the M.Sc. degree in radio communication systems and electronics from the Ecole Polytechnique of the University of Nantes, Nantes, France, in 2007 and the Ph.D. degree in signal processing and telecommunications from the Institute of Electronics and Telecommunications of Rennes 1, Rennes, France, in 2011. In 2011, he was involved in postdoctoral training at the University of Quebec in Outaouais (UQO), Gatineau, QC, Canada. His research field was optically transparent antenna systems for telecommunications. Since 2014 he works at Tallysman Wireless in Ottawa, Canada and specialized in the design of high-performance GNSS antennas and associated electronics.