CANADA—Unilever has announced intentions to open the first AI Horizon3 Lab focused on artificial intelligence (AI) in Toronto, Canada, with the goal of optimizing data and insights.

The newly founded lab will leverage a convergence of artificial intelligence and human ingenuity to promote innovation and accelerate growth across the enterprise.

AI has already been used in studies on the gut microbiome, biotechnology, and consumer communication, according to the company.

Unilever has also implemented generative AI in marketing, advanced analytics, and machine learning in supply chains, which has resulted in enhanced productivity and efficiency.

Andy Hill, Chief Data Officer of Unilever, highlighted that this significant investment in creating and deploying AI technologies throughout the organization will speed global growth and enable a targeted study of critical questions with AI.

He also emphasized on the company’s dedication to tackling real-world difficulties through innovation, as well as the strategic location of the lab in Toronto, which provides access to strong tech talent and top industry partners.

Hill envisioned that Unilever will create an ecosystem that fosters collaboration among various minds, developing collaborations with industry leaders, start-ups, institutions, and visionaries throughout the world to co-create significant solutions.

The company aspires to be a disruptive innovator, challenging the current quo, pushing limits, and redefining business methods.

While the lab has identified 15 areas of focus, the lab’s initial focus will be on three with the most potential for immediate impact: forecasting, modelling complex data interactions with graph technology, and delivering insights on trends, patterns, and predictions through Gen AI.

Gary Bogdani, Unilever’s Head of Data Science for North America and Canada D&A, emphasized the use of Gen AI to streamline access and retrieval of crucial insights, will allow for rapid categorization, summarization, and structuring of massive amounts of data.

He also highlighted the possibilities of graph database applications for storing complicated data, assisting in the visual representation of relationships, powering recommendation engines, and enabling collaborative and social applications.

The lab, which will be established by the global Unilever Operations Data and Analytics team, will operate on a hybrid model in which Unilever workers cooperate on various AI research projects with universities, start-ups, and industry specialists.

These plans, while diverse, share a similar focus on AI, assuring the business’s continued embrace of developing technology throughout time.