SNOWFLAKE SUMMIT, Las Vegas, June 14, 2022 (GLOBE NEWSWIRE) —, the platform for On a regular basis AI, right now introduced that it has been named the 2022 Machine Studying/AI Associate of the 12 months award winner by , the Knowledge Cloud firm, for the second 12 months in a row. This award was introduced at .”
Additionally at Snowflake Summit right now, Dataiku acquired competency awards in monetary providers, healthcare life sciences, andfor the depth of its Snowflake experience and dedication to driving buyer affect in these industries. The partnership between the 2 business leaders has deepened previously 12 months, because the tandem helps a rising record of joint prospects, together with Ameritas, , Novartis, and, .
Dataiku’s On a regular basis AI platform allows organizations of any dimension to ship knowledge, analytics, and AI initiatives in a collaborative, scalable setting that takes full benefit of their funding in Snowflake. As well as, the joint answer gives an easy-to-use, visible interface the place coders and non-coders can securely workforce as much as work with knowledge in Snowflake to construct production-ready knowledge pipelines and knowledge science initiatives, all in a single platform.
“We’re thrilled to be chosen as Snowflake’s 2022 Machine Studying / AI Associate of the 12 months for the second 12 months in a row,” stated David Tharp, SVP Ecosystems and Alliances at Dataiku. “The facility of our AI functionality with the Snowflake Knowledge Cloud platform is rapidly shifting the panorama of clever cloud computing. We’re offering worth to our joint prospects in minutes moderately than months. Up to now 12 months, now we have invested considerably in turning into probably the most tightly built-in machine studying / AI platform to Snowflake, and it’s very rewarding to see this worth delivered to our prospects.”
“Snowflake and Dataiku’s dedication to growing and delivering On a regular basis AI options is foundational to our shared mission of serving to each group profit from a data-driven tradition. Along with Dataiku, we’re delivering on the promise of machine studying and AI for patrons throughout industries,” stated Colleen Kapase, SVP of Worldwide Partnerships at Snowflake.
“Combining Snowflake’s Knowledge Cloud with Dataiku’s end-to-end analytics and AI platform has been a recreation changer for our group, tremendously enhancing how we handle giant datasets and complicated analytics,” stated Jay Franklin, VP of Enterprise Knowledge and Analytics at First Tech Federal Credit score Union. “As a credit score union, now we have a terrific alternative to straight affect the lives of our members. By scaling and maturing our knowledge science and analytics practices, we’re making this a actuality via member centricity and customized, highly-relevant experiences and choices.”
Dataiku’s built-in entry with Snowpark for Python
A 12 months after saying its, Dataiku has additionally built-in entry to Snowpark for Python, enabling Python coders and builders to work with acquainted instruments, packages, and libraries. Now, coders can concentrate on innovation whereas avoiding handbook duties and dependencies.
The brand new and current integrations with Snowflake permit customers to perform the next:
- Construct end-to-end AI/ML workflows in Dataiku utilizing their Snowflake knowledge with out having to write down code or transfer knowledge
- Rapidly entry each enterprise knowledge and third-party knowledge in Snowflake
- Scale knowledge preparation and have engineering utilizing Snowflake compute to 1000s of initiatives
- Entry interactive analytics on Snowflake knowledge, together with charts, notebooks, and dashboards
- Construct and deploy knowledge functions and automate knowledge pipelines
and extra give prospects the velocity, scale, and safety of Snowflake’s high-performance engine with Dataiku’s platform for On a regular basis AI.
- on the Snowflake Summit in sales space 1533
- about Dataiku and Snowflake
- for the On a regular basis AI Convention NYC and London, the place Snowflake is a sponsor