REMI: Reducing emissions through machine intelligence | Alberta Machine Intelligence Institute

Make Tangible Progress

It’s no secret that AI holds opportunities to increase revenue, improve operations and solve complex problems.

Our REMI program provides an accelerated opportunity to move your organizational technology adoption strategy forward.

Over the years, our work with clients in the energy sector has been rewarding and informative. We know that you are dedicated to improving your employees' lives, the communities you serve and are proud of the vital role you play in the nation's economy. GHG reduction is just one part of a multi-faceted approach business leaders in the energy and agriculture sectors are taking to address ambitious goals related to environmental, social and governance performance.

Key Dates for our first cohort - Energy 1:

September 9, 2020: Applications open
September 24, 2020: Application review begins - Energy 1
October 2, 2020: Applications close - Energy 1
- Please note Energy 1 may fill before the application deadline.
  Apply before September 24th to avoid disappointment.
October 26, 2020: Energy Cohort 1 onboarding
November 2, 2020: Phase 1 Launch - Energy 1
December 7, 2020: Phase 2 Launch - Energy 1
March 1, 2021: Phase 3 Launch - Energy 1

The REMI program is made possible through the support of the Government of Alberta’s Ministry of Environment and Parks TIER Program. Read more about the funding announcement.

Message from our CEO

Download the REMI Program Guide to hear from our CEO, Cam Linke, and learn more about the impact REMI will have on your business. The Guide also contains all the information you need related to team requirements, workload allocations, and benefits.

Get the Program Guide for Energy Cohort 1

A Phased Approach

REMI is designed to progress companies, from startups to small and medium businesses to multinational corporations, along the AI Adoption Spectrum, focusing on GHG reduction projects. We take a phased approach to set your team up for success at each crucial junction of your project - from ideation to proof-of-concept model.

The program is structured to help you form a business case for investing in AI adoption, through a build model, for your management and investment team. With clear outcomes and progress at each milestone.

Phase 1: Foundations

Participants gain foundational AI knowledge and create a roadmap for potential AI projects focused on GHG reduction. This programming phase includes hands-on training opportunities and facilitated sessions with a multi-disciplinary team of project managers, scientists, educators and domain experts.
Phase 2: Commitments

Companies define, specify and scope a machine learning (ML) project; and mitigate the risk of introducing AI and ML projects into various operations, processes and business lines.
Phase 3: GHG Reduction

Teams advance a selected ML emission reduction project to a proof-of-concept model, and upon graduation, can broadly apply new skills and knowledge in AI and ML to further increase business effectiveness in areas outside of emission reduction.

Your Program Experience

Bring together a team of high-performers, from across business units, to experience specialized programs and services geared towards energy and agriculture sector domain experts. We have taken some of our most in-demand offerings and made them even better by developing sector-specific knowlege bases, and creating opportunities for networking, peer-to-peer mentorship, and ongoing professional development opportunities for your team.

ML Foundations
Brainstorm ideas, learn foundational skills
Understand use cases
Gain confidence in knowing what AI can and can’t do
Identify the advantages and disadvantages of build, buy and partner models of AI adoption
Applied ML Foundations
Ability to scope a business process using an ML lens
Experience the ML Process Lifecycle
Understand ML Evaluation and Proxies
AI Planning and Initiating Series
Create an AI Adoption Business Canvas with a map of AI projects to move forward
Identify ML potential for GHG reduction
Gain a peer-to-peer network and greater exposure to the AI community
Scoping
Define, specify and scope their first ML emission reduction project
Mitigate the risk of introducing AI/ML projects into various operations, processes and business lines
Receive mentorship and coaching, trusted co-opetition peers
Project Advisement
Advance a selected ML emission reduction project to a proof-of-concept model, with guidance from Amii, that can then be used to support a business case for further development and implementation
Reduce GHG emissions by identifying operational trends and patterns quickly that would otherwise be difficult or time-consuming to detect using traditional techniques
Apply new skills and knowledge in AI and ML to further increase business effectiveness in areas outside of emission reduction.
Gain greater access to AI talent and meet our research community
Certificates and Executive Training - Exclusive Pricing
Receive priority enrolment and a 20% discount on our ML Technician Certification and AI Strategy and Management Executive Course
Extend this benefit to your entire organization to ramp up AI knowledge and expertise to move future projects forward faster