Introduction:
We’re back with another exciting evening at the Edmonton Data Science Community! Thanks to everyone who’s been joining us regularly—your energy is what keeps our community thriving. Our next event dives into the real-world applications of AI in enterprise settings, and you're not going to want to miss this one. As a bonus, we’ll also share some teasers about upcoming events exploring AI at Jobber and in HR/recruiting.
📍 Location:
Room 2-027, Singhmar Centre for Learning
10215 108 St NW, Edmonton, AB T5J 1L6
🗓️ Date:
Thursday, July 24th, 2025
🕒 Schedule:
Doors Open | 5:30 PM
Organizer’s Presentation | 6:00 PM
Main Event: Identifying AI Use Cases in the Enterprise | 6:10 PM – 6:45 PM
Networking | 6:45 PM – 8:00 PM
🎤 Speaker: Ryan Low
Talk Title: Identifying AI Use Cases in the Enterprise
This event is hosted by Edmonton Data Science Community.
📝 Abstract:
This session explores key considerations for identifying and implementing impactful AI use cases within the enterprise. Drawing on practical examples and case studies from various industries, we’ll discuss how to move beyond generic AI solutions towards building custom, secure, and value-driven AI "geniuses" trained on your specific business data and processes. We will cover strategies for evaluating potential AI applications, focusing on achieving measurable ROI, ensuring data privacy and security, and aligning AI initiatives with core business objectives for sustainable growth and a competitive edge. The talk aims to provide a framework for discovering, validating, and deploying AI solutions that address specific organizational challenges and unlock unique operational potential.
👤 Speaker Bio:
Ryan Low is a seasoned business development manager and solution-driven business analyst with over 15 years of experience in business process improvements and software implementations. At Rotational Labs, he specializes in leveraging AI to deliver real-world solutions across diverse industries, including retail operations, call center operations, e-commerce development, manufacturing administration, oilfield operations, and blockchain data center deployments. Ryan's focus is on integrating AI-driven strategies to optimize operations and drive business growth. He has authored insights on building custom AI solutions that yield significant returns on investment, emphasizing a system-based approach to AI implementations.