On-Demand Webinar
The Work Required to Put AI to Work.
_AI PATHFINDER
VIRTUAL ROADSHOW
Companies big and small are putting artificial intelligence (AI) to work to operate more efficiently and drive new business models. Yet, despite how pervasive AI appears, many companies struggle to adopt these technologies effectively.
From managing program expectations to rethinking how and where analytics solutions are deployed, AI challenges traditional operating paradigms. So, what is required for your company to be ready to put AI to work?
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Kimberly Nevala is a strategic advisor for SAS where she balances forward thinking with real-world perspectives on business analytics, data governance, analytic cultures, and change management. Kimberly’s current focus is helping customers understand both the business potential and practical implications of artificial intelligence (AI) and machine learning (ML).
May Masoud is a Data Science Specialist at SAS Canada, trained in classical Statistics and modern Machine Learning. Leveraging her analytics background, she helps businesses implement components of Artificial Intelligence and Machine Learning to surface actionable insights from their data and eliminate inefficiencies from the analytics process.
May developed her quantitative foundation through an undergraduate degree in Statistics and Economics. Following that, she advanced her applied analytics toolkit with a Masters of Business Analytics from the Schulich School of Business. This cocktail of technical and business expertise has shaped May as an analytics practitioner and a thought leader. Outside of her client engagements, May invests her time in developing and delivering thought leadership for the business and academic community. A large focus of these efforts is on topics such as Artificial Intelligence and the ethical aspects of technology.