Name: Digitalization and AI in Energy Canada
Start: 2025-04-23 00:00:00 UTC
End: 2025-04-24 00:00:00 UTC

The energy sector stands at a critical crossroads. Ageing infrastructure, market volatility, and ever-increasing sustainability demands are pushing companies to find smarter, more cost-effective ways to operate. Meanwhile, the rapid evolution of AI, advanced analytics, and digital technologies offer tremendous promise - but many energy organizations struggle to harness these tools effectively. From navigating data silos to closing the AI skills gap, the challenges can feel daunting.

That’s why Digitalization and AI in Energy - taking place from April 23–24, 2025, at the Westin Calgary Downtown - is designed to help you tackle these hurdles directly. Over two days of panels, fireside chats, hands-on case studies, and interactive roundtables, you will join 150+ senior-level leaders in operations, digital, data, and AI for a unique experience that will reshape your approach to energy. Discover real-world strategies, forge new partnerships, and leave with actionable roadmaps for thriving in a rapidly transforming market.

Key Points of Discussion

Establishing the essential data infrastructure and cultivating a supportive organizational culture to ensure successful AI integration and sustainable digital transformation.

Identifying and implementing AI use cases that deliver the highest return on investment, optimizing operational efficiency and driving substantial cost savings.

Developing comprehensive cybersecurity measures and adhering to evolving regulatory standards to protect critical assets and maintain operational integrity.

Equipping your teams with essential AI and data management skills through targeted training programs, fostering a workforce capable of driving and sustaining innovation.

Adapting successful AI strategies and technologies from other sectors to overcome unique challenges in the energy industry, accelerating your digital transformation journey.

Creating and enforcing ethical data governance frameworks to ensure responsible AI usage, and data integrity, and build trust with stakeholders and regulatory bodies.

Strategizing for long-term success by ensuring AI investments are adaptable and resilient, positioning your organization to thrive amidst technological advancements and market changes.

🚨 Industry Events Special Offer: Use code IE5 to receive 5% off your ticket price.

Key Themes & Topics

Building a Strong Digital Foundation

Establish the foundation for long-term success by building a strong data infrastructure and promoting a culture that embraces technological change. From cloud-ready architectures to thoughtfully curated data pipelines, create the essential elements necessary for seamless AI adoption and future scalability. By reinforcing this digital backbone, you reduce implementation risks and prepare for exponential growth.

AI-Driven Operational Excellence

Leverage cutting-edge analytics and machine learning algorithms to optimize every facet of your value chain. Proactively address challenges such as equipment downtime, resource allocation, and real-time decision-making for faster turnarounds and reduced costs. Harness the transformative power of AI to achieve measurable performance improvements and maintain a decisive edge in a competitive marketplace.

Cybersecurity, Data Governance, and Responsible AI

Fortify the digital core of your operations by embedding security and governance at every step. Adopt rigorous standards to protect critical infrastructure, maintain data integrity, and uphold transparency in AI deployments. Integrating ethical guidelines and compliance requirements builds trust with stakeholders and future-proofs your organization in a rapidly evolving regulatory landscape.

Workforce Transformation and Skill Development

Empower teams to be the driving force behind innovation. Equip employees with the knowledge and tools to excel in data science, AI, and cloud technologies, while cultivating a collaborative environment that encourages continuous learning. An agile, digitally fluent workforce not only propels efficiency but also positions your organisation to adapt swiftly to market shifts and technological advances.

Collaboration and Industry-Wide Innovation

Foster partnerships across diverse ecosystems, from established energy players to emerging tech startups, to drive meaningful change. Share insights, align on best practices, and embrace cross-sector knowledge transfer to address persistent challenges. By broadening collaboration beyond traditional boundaries, you accelerate AI breakthroughs and enhance collective progress for a stronger, more sustainable energy sector.

Learning Outcomes

WHAT TO EXPECT?

20+ In-Depth Sessions Spanning 2 Action-Packed Days
Dive into expert-led panels, fireside chats, lightning rounds, and interactive discussions designed to supercharge your digital and AI strategies.

7 Engaging Roundtable Topics
Gain practical solutions on everything from data management and cybersecurity to workforce transformation and AI skill-building—tailored for today’s energy challenges.

All-New “Impromptu Panel” for Real-Time Problem-Solving
Shape the conversation by nominating top issues and on-the-spot experts, ensuring you walk away with actionable insights that address your biggest operational hurdles.

Hands-On Case Studies Showcasing AI in Action
Learn from real-world examples—predictive maintenance, virtual simulations, and IoT integration—so you can fast-track your own AI deployment and ROI.

Practical, Operator-Led Sessions & Investor Insights
Hear success stories and investment perspectives from energy pioneers who are bridging the gap between legacy systems and next-generation digital ecosystems.

Networking with 150+ Senior Ops, Digital, Data, and AI Leaders
Forge partnerships and collaborate with key decision-makers shaping the future of energy, sharing best practices that propel you ahead of the competition.

Digitalization and AI in Energy Canada

Special Offer

Location

Managed by

Energy Conference Network

CPD/CME/CEU:

Speakers

Advisory Board

Andrea Hine

Ian Gonzalez

Jeff LaFrenz

Juan Carlos Cabanillas Leon