At DataRobotic, we’re dedicated to serving to our clients maximize the worth they acquire from our AI Platform. Today, we’re excited to share that DataRobotic has joined the Amazon SageMaker Ready Program. This designation helps clients uncover companion software program options which might be validated by Amazon Web Services (AWS) Partner Solutions Architects to combine with Amazon SageMaker. Our companion ecosystem is a key driver in making certain buyer success, and partnering with AWS gives clients with deep integrations that amplify the productiveness of information science groups.
DataRobotic and SageMaker create a strong duo to speed up AI adoption
With DataRobotic AI Production, customers can construct their very own SageMaker containers to coach AI fashions and host them as a SageMaker endpoint, leveraging DataRobotic MLOps libraries to robotically accumulate and monitor inference metrics. Monitoring jobs will be scheduled natively from DataRobotic with out the effort of guide pipelines, releasing up knowledge science sources whereas providing customers full observability throughout a lot of SageMaker fashions. In addition to conventional MLOps actions, DataRobotic AI Production gives out-of-the-box governance finest practices corresponding to automated mannequin compliance documentation and mannequin versioning so all DataRobotic and SageMaker fashions will be ruled centrally.
Together, DataRobotic and AWS present a seamless integration that matches the environment and permits higher, sooner data-driven choices with confidence. As DataRobotic and AWS now change into much more aligned, the potential to additional leverage the strengths of each platforms with simplified workflows, enhanced scalability and accelerated time-to-market is tremendously thrilling.
We’re thrilled to be a acknowledged Amazon SageMaker Ready Partner, and stay up for serving to firms obtain their expertise objectives by leveraging AWS. To study extra about DataRobotic’s integration with Amazon SageMaker, obtain the whitepaper right here.
About the SageMaker Ready Program
Joining the Amazon SageMaker Ready Program differentiates DatRobot as an AWS Partner Network (APN) member with a product that works with Amazon SageMaker and is mostly obtainable for and absolutely helps AWS clients. The Amazon SageMaker Ready program helps clients shortly and simply discover AWS Software Path companion merchandise to assist speed up their machine studying adoption by offering out-of-the-box abstractions for most typical challenges in machine studying (ML) that construct on prime of the foundational capabilities Amazon SageMaker gives.
Amazon SageMaker gives a sturdy set of capabilities and AWS Partners add worth to additional increase the capabilities by integrating with their options. By offering clients a catalog of Software Path companion options that raise the complexities of machine studying, the Amazon SageMaker Ready Program will broaden the person base and enhance buyer adoption. Amazon SageMaker Ready Program members additionally supply AWS clients Amazon SageMaker-supported merchandise that provide Amazon SageMaker each in Software Path Partner options they already know, or supply merchandise that simplify every step of the ML mannequin constructing. These purposes are validated by AWS Partner Solutions Architects to make sure clients have a constant expertise utilizing the software program.
To assist the seamless integration and deployment of those options, AWS established the AWS Service Ready Program to assist clients establish options that assist AWS providers and spend much less time evaluating new instruments, and extra time scaling their use of options that work on AWS. Customers can assessment the Amazon SageMaker Ready Partner product catalog to verify their most popular vendor options are already built-in with Amazon SageMaker. Customers can even uncover, browse by class or ML mannequin deployment challenges, and choose companion software program options for his or her particular ML improvement wants.
About the writer
Ksenia Chumachenko is a Vice President of Alliances and Business Development at DataRobotic. She leads Cloud and Technology Alliances international crew, serving to shoppers get worth from AI by way of a wider Cloud and Data ecosystem.
Ksenia has greater than 20 years of expertise delivering technological options and creating companion ecosystems throughout product startups, ISVs, and system integrators. She has ardour for taking partnerships to the subsequent degree through collaboration, creativity, data-driven strategy, and crew nurturing with profitable expertise in establishing companion channel and constructing groups in pre- and post-IPO knowledge startups.
Ksenia holds an MBA in Global Business and Entrepreneurship from NYU Stern School of Business, and B.S. in Computer Science and Mathematics from NYU Courant. In her free time she spends time within the San Francisco Bay Area along with her household; they take pleasure in mountain climbing, cooking and going to cultural occasions collectively.
Chen is Director of Partner Data Science at DataRobotic, the place he drives product integration, demand era and buyer adoption by way of tech alliance and channel service companion ecosystem. He leads joint companion AI options to facilitate worth creation for purchasers. Prior to DataRobotic, Chen was at IBM main inside AI initiatives.