Building a Data Science Ecosystem with the Data Sphere Lab
The Data Sphere Lab at McGill University's Bensadoun School of Retail Management (BSRM), in collaboration with the Master of Management in Analytics (MMA) at the McGill Desautels Faculty of Management, is a cross-faculty initiative that mobilizes academics, students, and industry leaders to build a platform for advancing analytics, machine learning, and AI solutions that organizations of all stripes can use to improve their revenue effectiveness and reduce time to insight.
For the inaugural launch, we will focus on the retail sector by leveraging funding from the Ministère de l’Économie, de l'Innovation et de l'Énergie (MEIE) to provide students, faculty, and Quebec retail SMEs with data management, anonymization, synthetization, and other data/analytics services and support. We will be open to all industries for the medium to longer term and ensure that outcomes are accessible to the greater community.
Benefits for industry partners
Advancing Analytics/AI Predictive Solutions
- Opportunity to work with academics on analytics and AI challenges that impact your business and industry.
Develop Industry Use Case Best-Practices
- Ability to share anonymized best-practices with industry or cross-industry collaborators.
Develop a Technical Talent Pipeline
- Access to talent trained in data management, machine learning, and visualization in both short sprints and long-term hiring channels.
Brand Recognition for the Organization
- Gain visibility to your brand by obtaining positive exposure to the market for your vision and developing first-to-mind recognition of the next-generation workers when it comes to developing your talent pipeline.
Shaping the Future of Education
- Ability to shape the data and analytics education delivery of the future using Experiential Learning components and for professional re-training and digital advancement.
With funding from the Ministère de l’Économie, de l'Innovation et de l'Énergie (MEIE)
