Unilever Deepens Commitment to AI Innovation through Vector Institute Collaboration
TORONTO, March 5, 2024 – Unilever and the Vector Institute today announced a new partnership to advance artificial intelligence (AI) innovation. Through this collaboration, Unilever will gain access to Vector [ ] The post Unilever Deepens Commitment to AI Innovation through Vector Institute Collaboration appeared first on Vector Institute for Artificial Intelligence .
TORONTO, March 5, 2024 – Unilever and the Vector Institute today announced a new partnership to advance artificial intelligence (AI) innovation. Through this collaboration, Unilever will gain access to Vector Institute’s research insights, expertise, and extensive network of talent to help drive AI innovation across its business globally.
The partnership builds upon Unilever’s strong presence in Canada’s AI ecosystem, anchored by its Horizon3 AI Labs in Toronto. Launched in 2023, the Labs serve as Unilever’s global hub for AI, accelerating AI adoption across its worldwide operations. The partnership will support Unilever’s mission to drive AI at scale, which has already seen the deployment of over 500 AI projects across disciplines from research and development to marketing.
“We’re thrilled to partner with Unilever and their Horizon3 AI Labs as they deepen their commitment to Canada’s AI ecosystem,” said Cameron Schuler, Chief Commercial Officer and VP of Industry Innovation at Vector Institute. “Their focus on advancing AI innovation across global operations reinforces Toronto’s position as a world-class centre for AI excellence.”
“At Unilever, we are harnessing and scaling the transformative power of AI across the entire business value chain,” said Steve McCrystal, Chief Enterprise Technology Officer, Unilever. “By collaborating with leading organizations such as the Vector Institute and other key partners in the Toronto AI ecosystem, we are strategically placing Unilever’s Horizon3 AI Labs at the forefront of global AI advancements, focusing on the impactful solutions we can unlock with AI.”
About Vector InstituteThe Vector Institute is an independent, not-for-profit corporation dedicated to advancing artificial intelligence, excelling in machine learning and deep learning. Our vision is to drive excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. The Vector Institute is funded by the Government of Ontario, the Government of Canada through the CIFAR Pan-Canadian AI Strategy, and industry sponsors across Canada.
About UnileverUnilever is one of the world’s leading suppliers of Beauty & Wellbeing, Personal Care, Home Care, Foods and Ice Cream products, with sales in over 190 countries and products used by 3.4 billion people every day. We have 128,000 employees and generated sales of €60.8 billion in 2024. For more information about Unilever and our brands, please visit www.unilever.com.
For media inquiries, please email: [email protected]
Lire en français
Vector Institute
https://vectorinstitute.ai/unilever-deepens-commitment-to-ai-innovation-through-vector-institute-collaboration/Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
announce
How we turned a small open-source model into the world's best AI forecaster
tldr: Our model Foresight V3 is #1 on Prophet Arena, beating every frontier model. The base model is gpt-oss-120b, training data was auto-generated using public news. Benchmark Prophet Arena is a live forecasting benchmark from UChicago's SIGMA Lab. Every model receives identical context, so the leaderboard reflects the model's reasoning ability. OpenAI's Head of Applied Research called it "the only benchmark that can't be hacked." We lead both the Overall and Sports categories, ahead of every frontier model including GPT-5.2, Gemini 3 Pro, and Claude Opus 4.5. Data Generation Pipeline Real-world data is messy, unstructured, and doesn't have labels. But it does have timestamps. We turn those timestamps into labeled training data using an approach we call future-as-label. We start with a so
The Hidden Cost of Manual Intervention in Digital Products
There is a cost your product team is almost certainly not tracking. It does not appear on your engineering budget. It does not show up in your infrastructure bills. It does not get flagged in your sprint retrospectives. And yet it compounds quietly across every release, every scaling event, and every new hire — until it becomes the single most significant drag on your platform’s ability to grow. The cost is manual intervention. Every time a team member has to step in to make a decision the system should have made, you are paying this cost. Every escalation, every workaround, every “just ask Sarah about that” is a withdrawal from an account most teams have never even opened. This article is about why that cost is so hard to see, how it compounds, and what it actually means to design it out
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases
Microsoft just shipped the clearest signal yet that it is building an AI empire without OpenAI
Six months after renegotiating the contract that once barred it from independently pursuing frontier AI, Microsoft has released three in-house models that directly challenge the partner it spent $13 billion cultivating. MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 are now available in Microsoft Foundry, and they do not carry OpenAI’s name anywhere on the label. The models are [ ] This story continues at The Next Web
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!