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San Francisco-headquartered data and AI company Databrix today expanded its product portfolio with another vertical-specific platform – Lakehouse for Healthcare and Life Sciences.
Offering, as the company explains, brings together a set of data and AI solutions designed to address the most common challenges that enterprises face when innovating in the healthcare industry. It follows the launch of Databrix’s Lakehouse for the retail and financial services sectors.
“As organizations make a complete transition to electronic medical records, new data types like genomics are evolving and IoT and wearables take off, the industry is overwhelmed with data. But the team doesn’t have the tools to use it properly, “said Michael Hartmann, senior vice president of regulatory industries at Databrix. “With Lakehouse for Healthcare and Life Sciences, we can transform the entire healthcare ecosystem and help empower our customers to address specific industry challenges and deliver better results for the future of healthcare.”
How will Lakehouse help for healthcare?
Currently, enterprises in the healthcare sector rely heavily on legacy data architectures that store information from different systems and functions in fragmented silos. This makes advanced analysis difficult, restricting the pace of innovation in areas such as patient care and drug discovery.
Vertical-specific Lakehouse, on the other hand, overcomes this challenge by providing health organizations with a single cloud-backed platform for data management, analytics and advanced AI. It enables organizations to easily access data and accelerate the development of more advanced, data-based solutions such as disease risk forecasting, medical image classification, biomarker detection and drug development. Cross-functional teams – from physicians-scientists to computational biologists – can also use data from this product to create a holistic view of patients and make real-time decisions.
To simplify these applications, Lakehouse for Healthcare comes with a set of solution accelerators and open-source libraries (such as GLOW for Genomics) backed by partner-certified ecosystems. When combined, these elements help data users jumpstart their analytics projects and save weeks to months of development time.
Partner ecosystem, Databrix explained, includes companies such as Deloitte, Lovelytics, John Snow Labs and ZS Associates. John Snow Labs will help the enterprise use NLP to analyze unstructured medical text for cases such as oncology research, drug safety monitoring, and keeping personal health information anonymous. Meanwhile, Lovelytics and ZS Associates help streamline the ingestion of fast healthcare interoperability resource bundles and improve the search for biomarkers for precision medicine.
Databrix is launching a new Lakehouse offering usually starting today. However, some enterprises, including GE Healthcare, Regeneron, Thermofisher and Walgreens, have missed the opportunity to use it early.
Databrix Lakehouse for Healthcare and Life Sciences is helping GE Healthcare build patient feedback with a modern, open and collaborative platform. By integrating our data into a single platform with a complete suite of analytics and ML capabilities, we’ve reduced the costly legacy data silos and equipped our teams with timely and accurate insights, “said Joey George, CTO of LCS Digital at GE Healthcare.
The move further expands Databrix’s Lakehouse ecosystem, which competes directly with Snowflake’s data cloud. Other players in the same space are Dremio, Google BigQuery and Amazon Redshift.
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