Johnson & Johnson: Transforming Vision Care With Generative AI

Dataiku

Johnson & Johnson’s Vision team partnered with Dataiku for a generative AI training and hackathon, which led to working prototypes in less than two days.

80+

Johnson & Johnson employees use Dataiku

<2 Days

to build working generative AI and LLM prototypes with Dataiku

Johnson & Johnson’s Vision team wants to reimagine the future of eye health. They’ve built a unified, global organization that aims to collaborate and innovate to care for patients at every stage of their eye health journey.

In an effort to amplify their digital acumen and nurture a culture of innovation in their organization, J&J partnered with Dataiku to conduct a two-day generative AI and large language model (LLM) training and hackathon event.

The event hosted a diverse group of analytics and data science team members from across the company, including members from commercial teams, supply chain, digital, R&D, and technology, and included members from all over the world.

The progress these teams achieved in this short time underscores the power of the Dataiku platform and the benefits of converging onto one platform.

Adrian Panduro

Director of Global Data & Data Science, Vision, Johnson & Johnson

Igniting Generative AI Innovation

J&J has been moving towards a common analytics and machine learning platform — and more than 80 analytics and data science professionals in the organization have adopted Dataiku.

In close partnership with Dataiku, they designed an event with three distinct phases to enable Dataiku (as the common analytics and data science platform) and the LLM Mesh: 

• The theoretical sessions provided participants with a foundational understanding of generative AI LLMs.
• Hands-on project sessions offered a glimpse into the practical application of tools and methods.
• A robust hackathon, where teams would translate theory into reality, building solutions to actually revolutionize patient care and operational efficiency.

Participants were split into teams that would each take the generative AI and LLM knowledge they’d gained throughout the workshops and build real-world applications to benefit patients, healthcare professionals, or vision operations. The hackathon proved to be a profound success and teams managed to craft working prototypes during the session.

Their use cases spanned both vision care and surgical vision and were connected to different areas of the organization including consumers, sales, contracts, and customer insights. All of the sessions fostered the analytics community at J&J, enhancing their ability to rapidly prototype use cases and their solutions, and also serving as a gold standard for innovation. 

One thing we love about the Dataiku platform is the continuous learning opportunities that Dataiku provides.

Adrian Panduro

Director of Global Data & Data Science, Vision, Johnson & Johnson

From Generative AI Hackathon to Tangible Value

Even after a successful event where tactical solutions were developed and prototyped, the Vision team at J&J has built an even stronger bond with the team at Dataiku. J&J Vision now works together on a common platform which, in turn, drives efficiency, transparency, collaboration, and standardization.

Events like this, along with Dataiku's platform, serve as fuel for the fire of progress.

Adrian Panduro

Director of Global Data & Data Science, Vision, Johnson & Johnson

INDUSTRY

Health and Pharmaceuticals

FOUNDED IN

1981

HEADQUARTERS

Jacksonville, FL, U.S.

TECH STACK

Dataiku + Microsoft Azure + AWS

KEY DATAIKU CAPABILITIES

Generative AI

Dataiku LLM Mesh

ABOUT THE COMPANY

As the only eye health company with health at its core, as part of the Johnson & Johnson Family of Companies, and with a history of innovation firsts, we are uniquely positioned to reimagine the future of eye health and deliver an all-encompassing portfolio of solutions to transform our patients’ lives.

www.jjvision.com