Tag: Dataiku

We are excited to announce our regional 2023 AWS Partners of the Year from Europe, Middle East, and Africa (EMEA). This year’s partner award winners can be proud of the contributions they have made to empower organizations to make data-driven decisions and save costs whilst also achieving certifications to better meet customers’ evolving needs. Working side by side with AWS Partners, we are stronger when supporting customers together and look forward to strengthening our partnerships in 2024.

Each year, we honor members of the AWS Partner Network (APN) from around the globe that play key roles in helping customers drive innovation and build solutions on AWS. Announced during a Partner Awards Gala at AWS re:Invent, the 2023 Geo and Global AWS Partner Awards recognize a wide range of partners whose business models have embraced specialization, innovation, and cooperation over the past year. Please join us in congratulating these AWS Partners for their continued success!

Shoreline empowers support and L1 teams to resolve incidents by providing rich debugging capabilities to accelerate root cause analysis, and enables developers with powerful debugging tools to run across their cloud deployments. Shoreline’s library of pre-built automations empowers teams with self-service tools to provide a non-disruptive support experience to customers. With Shoreline, previous remediations that were tedious and time consuming are transformed to an automated and interactive process.

Dataiku orchestrates the entire machine learning lifecycle and makes it accessible to data scientists and analysts alike. With deep integration with AWS AI tools, Dataiku enables users to augment their analytics workflow with pretrained NLP and computer vision models. Learn how you can use Amazon Comprehend and Amazon Rekognition plugins on Dataiku Data Science Studio (DSS) to build a simple workflow of NLP and computer vision use cases, respectively.

Organizations often need business analysts and citizen data scientists to work with data scientists to create machine learning (ML) models, but they struggle to provide a common ground for collaboration. Newly enriched Dataiku Data Science Studio (DSS) and Amazon SageMaker capabilities answer this need, empowering a broader set of users by leveraging the managed infrastructure of Amazon SageMaker and combining it with Dataiku’s visual interface to develop models at scale.