Kinaxis Named co-op Employer of the Year for AI and Machine Learning Opportunities
Table of Contents
- 1. Kinaxis Named co-op Employer of the Year for AI and Machine Learning Opportunities
- 2. Student Testimonial Highlights kinaxis’ Impact
- 3. Kinaxis’ Role in the Co-op Program
- 4. Kinaxis’ Viewpoint on Investing in Talent
- 5. The Future of AI and machine Learning in Supply Chains
- 6. What other strategies or initiatives, besides co-op programs, can companies adopt too attract and retain top talent in AI and machine learning for supply chain management?
- 7. Kinaxis VP Discusses AI Talent & Future of Supply Chains
- 8. A Conversation with Dr. Anya Sharma of Kinaxis
- 9. The Importance of Real-World Application of AI
- 10. Investing in Emerging AI Talent
- 11. The Future of AI in Supply Chain management
- 12. A Question for Our Readers
Kinaxis, a player in supply chain management, has been recognized as the 2024 Co-op Employer of the Year by Carleton University for its commitment to providing students with practical experience in artificial intelligence (AI) and machine learning. This award highlights Kinaxis’s active involvement in the university’s co-op program, offering students hands-on experience within the realm of supply chain technology.
Student Testimonial Highlights kinaxis’ Impact
Oz Kilic, a Master of Computer Science (Data Science) student and Kinaxis co-op Machine Learning developer, nominated Kinaxis for the award. Kilic emphasized the company’s role in offering mentorship and a supportive work environment that allowed him to contribute meaningfully to real-world projects. He stated, “During my co-op at Kinaxis, I had the freedom to explore ‘crazy ideas’ while developing real-world solutions. their supportive environment and outstanding mentorship made me feel both challenged and motivated, enabling me to transform an ambitious concept into a high-impact project.”
Kilic further elaborated on the connection between academic research and industrial request, noting, “Kinaxis truly bridges academic research and industry practice, creating a space where cutting-edge technologies meet meaningful business challenges. It’s easily one of the best co-op experiences for any Computer Science student interested in machine learning and data science.”
Kinaxis’ Role in the Co-op Program
Kinaxis’s participation in the Co-operative Education program provides students with opportunities to focus on AI and machine learning within the context of supply chain management. These students gain practical experience with technology used in supply chain orchestration, working on projects aligned with industry demands.
- Mentorship and Training: The co-op program at Kinaxis provides mentorship and training, with experienced team members guiding students in applying AI solutions to real-world supply chain challenges.
- Real-World Application: Kilic’s nomination recognized the role of Sébastien Ouellet,a Kinaxis team member,in supporting his work and facilitating the application of theoretical knowledge to practical problems.
- Structured Environment: Carleton University’s Co-operative Education Office specifically highlighted the company’s structured work environment and active industry engagement as key factors in their selection of Kinaxis for this honour.
Kinaxis’ Viewpoint on Investing in Talent
Chantal Bisson-Krol, vice president of AI and machine learning solutions at Kinaxis, underscored the company’s commitment to nurturing emerging talent. “We are honored to receive this recognition from Carleton University,” she said. “Investing in emerging talent is at the core of our values, and we take great pride in providing co-op students with the tools, mentorship, and real-world experience they need to see the true impact of their work solving real problems and driving positive results for our customers around the globe.”
The Future of AI and machine Learning in Supply Chains
Kinaxis’s collaboration with Carleton University serves as a model for how industry and academia can partner to prepare students for the evolving demands of the modern workforce. As AI and machine learning continue to reshape industries, these types of co-op programs play a critical role in equipping the next generation of professionals with the necessary skills and experience.
As organizations seek to enhance their supply chain operations through AI and machine learning, initiatives that support the progress of emerging talent will become increasingly important. The recognition of kinaxis by Carleton University highlights the value of investing in such programs and demonstrates a commitment to fostering innovation in the field.
Learn More: To explore co-op opportunities and the application of AI in supply chain management, visit the Kinaxis website and explore Carleton University’s co-operative Education program.
What other strategies or initiatives, besides co-op programs, can companies adopt too attract and retain top talent in AI and machine learning for supply chain management?
Kinaxis VP Discusses AI Talent & Future of Supply Chains
We sat down with Dr. Anya Sharma, Vice President of Innovation at Kinaxis, to discuss the company’s recent recognition as Carleton University’s co-op Employer of the Year for AI and machine Learning, and what it means for the future of talent in supply chain management.
A Conversation with Dr. Anya Sharma of Kinaxis
Archyde: Dr. Sharma,congratulations on the award! Kinaxis has been recognized for its co-op program providing AI and Machine Learning opportunities. What makes Kinaxis’s co-op program stand out?
Dr.Sharma: thank you! We’re incredibly proud of this recognition. Our co-op program stands out due to its blend of rigorous mentorship, real-world submission, and empowering environment where students can explore bold ideas. We don’t just give students busywork; we integrate them into meaningful projects that directly impact our customers’ supply chain operations.
The Importance of Real-World Application of AI
Archyde: Oz Kilic, a student who nominated Kinaxis, highlighted how he was able to apply academic research to industrial requests. How does Kinaxis foster that connection between theory and practice?
Dr. sharma: That’s precisely what we aim for! We actively encourage our co-op students to leverage their academic knowledge to address real-world challenges.our team members, like Sébastien Ouellet, provide guidance and support, helping students translate theoretical concepts into tangible AI and machine learning solutions. we believe that’s the key to effective innovation in supply chain technology.
Investing in Emerging AI Talent
Archyde: Chantal Bisson-Krol mentioned that investing in emerging talent is at the core of kinaxis’s values. How does Kinaxis identify and nurture this talent specifically within AI and Machine Learning?
Dr. Sharma: We seek out students with a strong academic foundation and a passion for AI and machine learning. Once they join our team, we provide them with access to cutting-edge tools, challenging projects, and experienced mentors. We also encourage continuous learning through workshops,conferences,and internal training programs. We want them to feel challenged,supported,and empowered to grow.
The Future of AI in Supply Chain management
Archyde: Looking ahead, how do you see AI and Machine Learning reshaping the future of supply chain management, and what role will initiatives like the co-op program play in that evolution?
Dr. Sharma: AI and machine learning are poised to revolutionize supply chains, making them more resilient, efficient, and responsive to change. Our co-op program is crucial in preparing the next generation of AI experts who will drive this change. By equipping students with the skills and experiance to apply thes technologies to real-world supply chain problems, we’re building a talent pipeline that will shape the future of our industry.
A Question for Our Readers
Archyde: Dr. Sharma, thank you for your insights. It is great to hear about Kinaxis’s investment into the Co-op program.
Dr. Sharma:: Thank you! It was a pleasure speaking with you.
Archyde: Now we turn the conversation to our readers: What other factors do you believe are critical for fostering innovation and attracting top talent to the field of AI and machine learning in supply chain management? Share your thoughts in the comments below!
