DataRobot Joins the Amazon SageMaker Prepared Program #Imaginations Hub

DataRobot Joins the Amazon SageMaker Prepared Program #Imaginations Hub
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At DataRobot, we’re dedicated to serving to our prospects maximize the worth they acquire from our AI Platform. At present, we’re excited to share that DataRobot has joined the Amazon SageMaker Prepared Program. This designation helps prospects uncover associate software program options which are validated by Amazon Internet Providers (AWS) Accomplice Options Architects to combine with Amazon SageMaker. Our associate ecosystem is a key driver in guaranteeing buyer success, and partnering with AWS offers prospects with deep integrations that amplify the productiveness of information science groups. 

DataRobot and SageMaker create a robust duo to speed up AI adoption  

With DataRobot AI Manufacturing, customers can construct their very own SageMaker containers to coach AI fashions and host them as a SageMaker endpoint, leveraging DataRobot MLOps libraries to mechanically acquire and monitor inference metrics. Monitoring jobs may be scheduled natively from DataRobot with out the effort of handbook pipelines, releasing up knowledge science sources whereas providing customers full observability throughout a lot of SageMaker fashions. Along with conventional MLOps actions, DataRobot AI Manufacturing affords out-of-the-box governance greatest practices reminiscent of automated mannequin compliance documentation and mannequin versioning so all DataRobot and SageMaker fashions may be ruled centrally. 

Collectively, DataRobot and AWS present a seamless integration that matches our surroundings and allows higher, quicker data-driven choices with confidence. As DataRobot 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.

Bijan Beheshti

World Director, Analytics & Buying and selling, FactSet Analysis Methods

We’re thrilled to be a acknowledged Amazon SageMaker Prepared Accomplice, and stay up for serving to corporations obtain their expertise targets by leveraging AWS. To be taught extra about DataRobot’s integration with Amazon SageMaker, obtain the whitepaper right here.

In regards to the SageMaker Prepared Program

Becoming a member of the Amazon SageMaker Prepared Program differentiates DatRobot as an AWS Accomplice Community (APN) member with a product that works with Amazon SageMaker and is usually out there for and totally helps AWS prospects. The Amazon SageMaker Prepared program helps prospects shortly and simply discover AWS Software program Path associate merchandise to assist speed up their machine studying adoption by offering out-of-the-box abstractions for commonest challenges in machine studying (ML) that construct on prime of the foundational capabilities Amazon SageMaker offers. 

Amazon SageMaker affords a strong set of capabilities and AWS Companions add worth to additional develop the capabilities by integrating with their options. By offering prospects a catalog of Software program Path associate options that carry the complexities of machine studying, the Amazon SageMaker Prepared Program will broaden the person base and improve buyer adoption. Amazon SageMaker Prepared Program members additionally provide AWS prospects Amazon SageMaker-supported merchandise that supply Amazon SageMaker each in Software program Path Accomplice options they already know, or provide merchandise that simplify every step of the ML mannequin constructing. These functions are validated by AWS Accomplice Options Architects to make sure prospects have a constant expertise utilizing the software program.

To assist the seamless integration and deployment of those options, AWS established the AWS Service Prepared Program to assist prospects 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. Clients can evaluation the Amazon SageMaker Prepared Accomplice product catalog to substantiate their most popular vendor options are already built-in with Amazon SageMaker. Clients can even uncover, browse by class or ML mannequin deployment challenges, and choose associate software program options for his or her particular ML improvement wants. 

White paper

Constructing a Scalable ML Mannequin Monitoring System with DataRobot and AWS

Obtain now

In regards to the creator

Ksenia Chumachenko
Ksenia Chumachenko

VP, Enterprise Growth & Alliances, DataRobot

Ksenia Chumachenko is a Vice President of Alliances and Enterprise Growth at DataRobot. She leads Cloud and Expertise Alliances international group, serving to purchasers get worth from AI by a wider Cloud and Information ecosystem.

Ksenia has greater than 20 years of expertise delivering technological options and growing associate ecosystems throughout product startups, ISVs, and system integrators. She has ardour for taking partnerships to the following stage through collaboration, creativity, data-driven method, and group nurturing with profitable expertise in establishing associate channel and constructing groups in pre- and post-IPO knowledge startups.

Ksenia holds an MBA in World Enterprise and Entrepreneurship from NYU Stern Faculty of Enterprise, and B.S. in Laptop Science and Arithmetic from NYU Courant. In her free time she spends time within the San Francisco Bay Space together with her household; they get pleasure from mountaineering, cooking and going to cultural occasions collectively.

Meet Ksenia Chumachenko


Chen Wang
Chen Wang

Channel Information Scientist Director, DataRobot

Chen is Director of Accomplice Information Science at DataRobot, the place he drives product integration, demand technology and buyer adoption by tech alliance and channel service associate ecosystem. He leads joint associate AI options to facilitate worth creation for patrons. Previous to DataRobot, Chen was at IBM main inside AI tasks.

Meet Chen Wang


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