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60 mins
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90 mins
Session Chairs: Pierce Anderson, ARC Resources; Mike Davies, Turing Analytics; Kim Oracheski, Strathcona Resources
The data landscape is evolving at an unprecedented pace, and the future promises to be even more transformative. In this enlightening panel session, visionary experts will come together to explore the upcoming frontiers of the data space. They will discuss emerging trends, technologies, and paradigm shifts that will shape the future of data.
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90 mins
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60 mins
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90 mins
Session Chairpersons: Pierce Anderson, ARC Resources; Monica Brookwell, Birchcliff Energy; Mark Derry, Cenovus
We often see amazing case studies and spectacularly implemented projects at conferences, but what happens after the win is celebrated and the core team goes home? In this session, presenters follow up on past successes and share how these projects continued to evolve.
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30 mins
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90 mins
Session Chairpersons: Hayden Fiege, Cenovus; Derrick Turk, Terminus Data Science
The era of relational data monoculture has ended. While "NoSQL" made waves, the rise of "big data" and truly distributed computing has changed the conversation from "unstructured data" to "differently structured data". Time-series databases, vector databases, message queues, stream processing, columnar storage, even blockchains - how are practitioners choosing and using the right tools from our fuller-than-ever toolbox?
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90 mins
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90 mins
Session Chairpersons: Scott McKean, Chevron; Scott Pinckston, Crescent Point Energy; Sheldon Wall, Consultant
There is a lot of hype around technology stacks, massively scaled compute, and fancy models. But many companies and practitioners realize a lot of value by keeping things simple and truly delivering a 'minimal viable product'. But what does that mean in terms of real-world solutions that don't die in a proof-of-concept graveyard? In this session, we will challenge five speakers to go over the strategies they used to 'keep it simple' and knock real-world problems out of the park. Each presenter has 10 minutes to introduce their topic, followed by a guided Q&A session.
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30 mins
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90 mins
Session Chairpersons: Mariem Akrout, AI.Energy; Katherine Turk, Terminus Data Science
With the breakthrough of Large Language Models and Generative AI, we find ourselves flooded with a constant stream of AI tools, each claiming to be the next big thing. The hype surrounding new chatbots, programming assistants, and automation promises seems never-ending. But when we pull back the curtain, what do we find? This 3-part session begins with a presentation demystifying AI marketing buzzwords, followed by a breakout session to collaborate with experienced AI practitioners to address project challenges, avoid common AI integration pitfalls, and develop practical strategies for real-world applications. The final session is a panel discussion to integrate the knowledge and strategies shared from the breakout session.
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90 mins
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60 mins
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90 mins
Session Chairpersons: Dan Elliot, PETRONAS Canada; David Vu, Suncor; Sheldon Wall, Consultant
Success! We celebrate success and successful people in our culture. This focus potentially blinds us to the many failures that exist around us. We are working in a time of much hype and promise around AI and other tools, yet Gartner still reports that 80% of AI projects (need to confirm this stat) will not make it to production. We are excited for our speakers who are willing to share some projects and ideas that didn’t work. In sharing these ‘failed’ projects there are lots of opportunities to learn from the mistakes, oversights, or just bad timing that might have led to its downfall. Socrates reminds us that the unexamined life is not worth living and this session will provide an opportunity to examine the “life of a project.”
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30 mins
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120 mins
Session Chairpersons: Shayne Chidlaw, Rife Resources; David Cooper, Kobold Inc.; Sheldon Wall, Consultant
Leading a data analytics team demands a unique blend of strategic vision, talent development, and cultural stewardship. In this panel session, data analytics leaders will convene to share their insights and experiences in navigating the dynamic landscape of data-driven decision-making.
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60 mins
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90 mins
Session Chairpersons: David Fulford, EIV Capital ; Justo Sanchez, ConocoPhillips
As the oil and gas industry evolves, machine learning has become an indispensable tool for optimizing operations and decision-making. Join us in these insightful technical presentations where experts will share their experiences in implementing machine learning in the field. From predictive maintenance to reservoir management, explore the practical applications of cutting-edge technology and discover how it's reshaping the energy sector.