e[datascientist] provides the foundation for learning through the establishment of the conversation between the scientist and data. The platform utilizes conversation as a learning tool, laying the basis for a radical shift in science-led innovation.
This approach helps scientists and machines learn together, driving increasingly effective bioinformatics, machine learning (ML) and artificial intelligence (AI) pipelines.
Conversational collaboration helps to deliver more reliable predictions and recommendations, allowing scientists to dramatically shorten learning curves and accelerate the time to insights.
The system enables guided conversations to support users in making informed decisions, and allows organizations to systematize and automate the knowledge discovery process.
Eagle Genomics’ innovative approach in establishing a platform-driven ecosystem for the generation and exchange of scientific data-derived assets is of great potential value to Unilever.
Healthy animals, healthy people and a healthy planet are all interconnected. With the advanced knowledge and insights we anticipate generating from our microbiome data, the e[datascientist] will allow us to bring more relevant products to market.
As a company driven by innovation, Reckitt collaborates with partners who bring powerful new capabilities to the table so we can deliver disruptive ideas to the market.
