Tag: Amazon EC2

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 the world over rely on the Exadata database platform to operate and manage Oracle databases, simplify data management, and ensure performance-intensive systems are running as expected. While Exadata workloads perform well on premises, customers are looking to achieve the scalability, flexibility, and cost benefits of AWS. Learn how Navisite tests the performance of Exadata workloads once they have been migrated to AWS using Oracle Real Application Testing (RAT).

We are excited to highlight 88 AWS Partners that received new designations in October for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Security is the highest priority for AWS, which works closely with industry-leading partners such as CloudHealth by VMware to build security solutions for customers like CloudHealth Secure State (CHSS). Learn how you can set up CHSS projects, suppress rules and alerts, find misconfigurations through CHSS Explore, and set up remediation jobs all built on CloudHealth’s unified security monitoring approach for AWS.

As multi-tenant SaaS providers look to leverage machine learning services, they must consider how they’ll protect the data that flows in and out of these services from different tenants. Learn how tenant isolation of machine learning services can be achieved using AWS IAM, and how the integration between IAM, Amazon SageMaker, and many other AWS services provide developers with a rich set of mechanisms that can be applied to realize tenant isolation goals.

This post will show you how to send Amazon Inspector‘s Common Vulnerabilities and Exposures (CVE) findings to the ServiceNow Security Operations (SecOps) module. At the time of this write-up, there is no native adaptor from AWS to the ServiceNow SecOps module and, as such, requires a custom integration. Learn how to use ServiceNow’s native RESTful API to create a custom interface that an AWS Lambda function will leverage to send the CVE findings as they reach AWS Security Hub.

Operationalizing machine learning models can be a challenge due to lack of established ML architecture and its integration with the existing landscape. DataRobot integrates with AWS and provides the flexibility for a model trained in DataRobot to be deployed on AWS services with centralized model governance, management, and monitoring. Learn how the DataRobot AutoML platform orchestrates the complete model development and training lifecycle.

Building an optimized mobile network requires careful planning to ensure proper coverage and capacity. This post discusses how CSPs can augment their existing network planning with additional data while leveraging analytics for cell site placement and network optimizations. Learn how Kinetica, a GPU-accelerated data platform, unites historical analytics and streaming analytics, location intelligence, graph analytics, and machine learning to tackle massive scale network data challenges.

Financial institutions need to keep up with fast-changing market conditions while increasing digital adoption. To provide an end-to-end digital experience to customers, they need capabilities to rapidly validate ideas and conduct experiments or PoCs with an ability to iterate quickly towards the final solution. Virtusa’s Open Innovation Platform (OIP) is hosted on AWS and helps banks and financial services firms to achieve these goals quickly, efficiently, and at low cost.

Some contact center platforms don’t offer native integrations with AWS AI/ML services. Consequently, customers must learn to live with a “just enough” contact center until their license agreements expire, look for other options beyond AWS, or wait for the platform provider to build the integrations in future releases. Learn how Universal Speech Solutions (also known as Unispeech) created AWS AI/ML plugins that enable the non-native integrations.