How to Build Machine Learning Into a Small Business
Machine Learning is quickly becoming a standard technology and solution across broad sectors of the economy, including Fintech, Energy, Smart Agriculture, Manufacturing, and Medical Technology.
Companies harnessing this opportunity can create a clear advantage over their competitors. Companies that don’t may find themselves left behind.
Many of the skillsets and experience required are in short supply – data, data science, machine learning methods, tools, cloud development and deployment, and high-performance computing. Building machine learning competency in an organization is no easy task. This is especially true for startups and small businesses where every dollar and every staff member counts.
Join CENGN, Invest Ottawa, and a panel of seasoned Ottawa AI/Machine Learning pros to delve into their experience and challenges faced building Machine Learning within an organization. Peter Heath, Senior Manager of Training Programs at CENGN, will moderate the discussion of distinguished Ottawa entrepreneurs.
Mathieu Lemay, CEO of Lemay.ai and AuditMap.ai, Carl Byers, CTO and Chief Strategy Officer at Contextere, and Nasrin Sadeghianpour, Director of Machine Learning at BluWave-ai will each bring their perspective to this discussion.
Looking forward to seeing you there!
3 pm – Doors Open
3 pm to 3:30 pm – Networking and Non-Alcoholic Beverages
3:30 pm to 4:15 pm – Panel Discussion
4: 15 pm to 5 pm – Networking
5 pm – Doors Close
Nasrin Sadeghianpour – Director of Machine Learning, BluWave
Nasrin is a Director of Machine Learning at BluWave-ai, leading the machine learning team to develop and productize data-driven solutions to optimize various goals, including maximizing the utilization of renewable generation resources and optimizing the operation of the electric vehicle within various constraints. Before that, she was a Ph.D. scholar at the smart grid team in IDLab. During her tenure in IDLab, Nasrin successfully applied AI in four major industry projects, developing solutions using statistical modelling, machine learning, and deep reinforcement learning to facilitate practical demand response algorithms for residential customers and electric vehicles in the smart power grid. Nasrin’s Ph.D. research led to several high-impact international publications. She obtained her Ph.D. in computer science from the Faculty of Engineering, Ghent University, Belgium, in 2018. Nasrin loves travelling, exploring different cultures, and meeting new people.
Matt LeMay – CEO and Co-Founder, Lemay.ai
Matt Lemay is the CEO and Co-founder of Lemay.ai, a global enterprise AI consultancy serving clients in over 30 countries. He is also the co-founder and former head of applied AI of Stallion.ai, a Dubai-based consultancy, and the co-founder and CEO of AuditMap Technologies, an enterprise risk insights platform. With a background in control systems engineering and computer science, At Lemay.ai, his role matches changing industry needs with technological capabilities and new management consulting approaches. He has managed high-performance teams across multiple companies for over 15 years. He has extensive experience in the regulated industries of medical devices and energy, having been trained and certified in ISO 13485, ISO 14971, IEC 62304, and ISO 9001.
Carl Byers – CTO, Contextere
Carl Byers applies over thirty years of experience in modelling and simulation, virtual environments, augmented reality, and artificial intelligence to software applications that improve knowledge-based productivity enhancement and decision-making in complex distributed organizations. As co-founder, CTO and Chief Strategy Officer at Contextere, Carl drives integrated R&D, product development, and collaborative partnerships that leverage machine learning to build the 21st-century workforce. Carl is also past-President, and current representative of The AREA, a member organization, focused on accelerating the adoption of augmented reality in the enterprise. Carl holds an MBA, a Master’s in Human Security & Peacebuilding, and a Bachelor’s in Engineering Physics.