Tag: Data Science

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.

Popular in the HPC community and a range of industry verticals, Lustre is a powerful, open source, Linux-compatible, parallel file system. Amazon FSx for Lustre is a fully managed, scalable shared storage solution to power your compute workloads. Six Nines is deeply familiar with HPC storage pain points, and has helped customers address this very issue over the past five years. Dive deep with Six Nines’ FSx for Lustre experience, particularly the high availability, performance, and integration features of its latest releases.

TIBCO Software has launched an analytics app to track the spread and impact of the COVID-19 pandemic in real-time, over local regions worldwide. The goal of this analytics app is to enable organizations to assess the potential impact of the COVID-19 pandemic on their business fabric, using sound data science and data management principles, in the context of real-time operations. Learn some of key capabilities of the app and how it was developed on AWS.

Data scientists creating enterprise machine learning models to process large volumes of data spend a significant portion of their time managing the infrastructure required to process the data, rather than exploring the data and building ML models. You can reduce this overhead by running Qubole data processing tools and Amazon SageMaker. An open data lake platform, Qubole automates the administration and management of your resources on AWS.

Deploying AI solutions with ML models into production introduces new challenges. Machine Learning Operations (MLOps) has been evolving rapidly as the industry learns to marry new ML technologies and practices with incumbent software delivery systems and processes. WordStream is a SaaS company using ML capabilities to help small and mid-sized businesses get the most out of their online advertising. Learn how Slalom developed ML architecture to help WordStream productionize their machine learning efforts.

Amazon Redshift is a powerful yet affordable data warehouse, and while getting data out of Redshift is easy, getting data into and around Redshift can pose problems as the warehouse grows. Datacoral is a serverless data platform that manages metadata changes, data transformations, and orchestrating pipelines for data consumers. In this post, learn how to write Redshift SQL to represent data flow, and how serverless data pipelines get automatically generated for that data flow.

AWS Solution Space allows AWS Competency Partners to showcase customer-ready solutions based on architectures validated by AWS. These are quick, cost effective, repeatable solutions meant to create new business leading to production workloads. Customers can also request AWS support for launching each solution. At launch, we are featuring 10 customer-ready solutions: 5 for Big Data, 3 for Machine Learning, one for Security, and one for End User Computing.