IBM
Carleton and IBM Canada have joined forces through a 5-year multimillion-dollar research partnership agreement.
Carleton’s Institute of Data Science—with industry guidance and experience from IBM—is equipping Carleton students with a unique set of skills and knowledge for emerging career opportunities in artificial intelligence, machine learning, and data science.
The IBM-Carleton Partnership agreement establishes a framework for joint research and educational initiatives to boost the university’s cross-disciplinary AI and Data Science programs, further advance its technology-rich learning environment, and foster work-integrated learning experiences.
Shared Goals
- Recruit and develop the next generation of artificial intelligence (AI), machine learning (ML), and data science graduates
- Connect students with industry professionals
- Develop technological tools and training for graduate students and researchers
- Collaborate on cross-disciplinary research projects
Impact
Cloud technology and machine learning play a large role in the everyday lives of Canadians. Our reliance on these recently developed technologies is just being recognized. The potential to improve the quality of life and accelerate business opportunities remains untapped. IBM Canada and Carleton University recognize not only the significance of advancement within this field but, more importantly, the impact that this collaboration will have on shaping the future.
“As businesses continue to accelerate their digital transformation, there is an increasing demand for access to talent and emerging skills in growth areas of data science, AI, and machine learning. With the expansion of our collaborative relationship with Carleton University, IBM will provide leading-edge technology, industry expertise, and apprenticeship and training opportunities to help address the digital skills gap in Canada and build domestic talent for secure, high-paying careers in AI and data science that are already in high demand.”
Steven Astorino, IBM Canada Lab Director and Vice-President of Development for Data and AI
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