TetraScience and Snowflake Partner to Accelerate Scientific AI Adoption Across Global Life Sciences
2024年12月13日 - 12:00AM
ビジネスワイヤ(英語)
TetraScience, the Scientific Data and AI Cloud, today announced
it is teaming up with Snowflake to enable joint customers to unlock
the value of their scientific data and reap the benefits of the
Scientific AI revolution. The collaboration will allow the seamless
sharing of scientific data between the Tetra Scientific Data and AI
Cloud and Snowflake’s AI Data Cloud so that life sciences
organizations can generate previously unattainable insights with
diverse and multimodal datasets, dramatically improving their pace
and quality of decision-making across the biopharma value
chain.
The Tetra Scientific Data and AI Cloud is purpose-built to
transform raw, siloed scientific data into analytics-ready and
AI-native datasets. By combining TetraScience's expertise in
scientific data and workflows with the Snowflake AI Data Cloud,
organizations gain seamless access to scientific data and the
agility to develop advanced analytics and AI-driven use cases.
Scientific teams can collaborate on data effortlessly across groups
and geographical boundaries, leveraging the security and privacy
safeguards of Snowflake’s AI Data Cloud.
“Our collaboration with Snowflake puts unprecedented operational
insights and AI-ready scientific data directly in the hands of
laboratory and data scientists,” says Patrick Grady, CEO of
TetraScience. "Whether developing custom dashboards or running
advanced analytics or AI models, researchers can now focus on
science and innovation rather than data preparation."
“The combination of TetraScience's deep scientific expertise
with Snowflake's AI Data Cloud creates a new opportunity for
customers to gain efficiencies and scalability," says Lisa
Arbogast, Industry Principal, Life Sciences at Snowflake.
Several pharmaceutical organizations leveraging Snowflake
already realize the benefits of seamlessly accessible,
analytics-ready, and AI-native scientific data from TetraScience.
This enables diverse use cases and digital initiatives across the
biopharma value chain, such as monitoring the health and
utilization of scientific instruments to enhance lab efficiencies
and automating the ingestion and labeling of assay reports for
secure, streamlined collaboration.
The collaboration encompasses joint technology development,
co-marketing, and co-selling initiatives. For more information
about the Tetra Scientific Data and AI Cloud, visit here.
About TetraScience
TetraScience is the Scientific Data and AI Cloud with a mission
to radically improve and extend human life. TetraScience is
accelerating the Scientific AI revolution by designing and
industrializing AI-native scientific datasets, which it brings to
life in a growing suite of next-generation scientific data and lab
data automation products and AI-enabled scientific use cases. For
more information, visit tetrascience.com or follow us on
LinkedIn.
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