Tag: AWS Partner Solutions Architects (SA)

We know that data can help organizations get closer to customers and unlock new revenue streams. But in order to monetize data, companies need to be able to trust it. Collibra Data Intelligence Cloud helps organizations build trust in data across any source, for any user. Learn how Collibra Data Quality (DQ) on AWS is core to this solution, enabling organizations to get the added benefit of cloud-scale combined with a rich set of features.

IT teams are always exploring solutions to increase their existing investments and looking for solutions that answer business needs in line with IT objectives. Learn the benefits of adopting a composable customer data platform (CDP), discover ActionIQ’s Customer Experience (CX) Hub, and understand how ActionIQ and Amazon Redshift enable a composable CDP. This helps technical teams extend and enhance existing technology investments to manage data governance, costs and performance.

The security team at Wix, a global leader in providing a comprehensive, cloud-based platform for web development, needed to reduce and prioritize the number of alerts and get a deeper dive into their cloud infrastructure stack. They sought to understand issues and vulnerabilities that could possibly be exploited and gain more context pertaining to incidents. Learn how Orca Security and Amazon GuardDuty helped prioritize detected alerts based on the severity of a security issue, its accessibility, and business impact.

Predicting demand for medical products can be a formidable challenge, since many items have no underlying seasonality patterns nor a consistent shelf life. Learn how Ganit worked with a client to achieve reductions in inventory by designing a robust solution with Amazon Forecast. This post details the approach used to define the objectives and discover the data treatments, and cover employing the flexible architecture provided by Forecast to turn the client’s data into a strength.

VMware vRealize Orchestrator is a part of VMware’s vRealize Suite and tied in closely with VMware vRealize Automation. This post highlights how you can use vRealize Orchestrator to deploy and manage VMware Cloud on AWS environments. It shows a method of automating VMware Cloud on AWS and helps admins get started using vRO to manage VMware Cloud on AWS environments. The sample code can be found in this GitHub page and follows the VMware Cloud on AWS API guide from VMware.

Federated learning (FL) addresses the need of preserving privacy while having access to large datasets for machine learning model training. The NVIDIA FLARE (which stands for Federated Learning Application Runtime Environment) platform provides an open-source Python SDK for collaborative computation and offers privacy-preserving FL workflows at scale. NVIDIA is an AWS Competency Partner that has pioneered accelerated computing to tackle challenges in AI and computer graphics.

PKWARE has been working on finding and protecting sensitive data in a range of data stores over the last 10 years. PK Protect Data Store Manager (DSM) on AWS is PKWARE’s flagship product that can scan for sensitive elements in structured and unstructured data, and optionally mask or encrypt the data. Organizations can also monitor access to the sensitive data using PK Protect DSM. In this post, we describe the steps to scan objects in Amazon S3 buckets and protect them with masking or encryption.

Take an in-depth view of the cloud migration and data platform modernization process for Flipboard, which engaged Mactores Cognition for a thorough assessment of the self-managed platform and help migrating existing data workloads to a fully managed Amazon EMR serverless big data platform. The process streamlined Flipboard’s distributed database capabilities, allowing the social media platform to support user spikes at scale, maximize throughput performance, and prepare to expand the user base exponentially.

Learn how the Heimdall Database Proxy can be configured to provide customer query routing for Amazon RDS for Postgres, although any SQL database type including Amazon Redshift can be supported. This provides a single Heimdall Proxy endpoint to access data for multiple customers from multiple databases, transparently. Heimdall Data provides functionality needed to support many complex database environments, and solves many of the challenges in scaling database access.

Infusing machine learning into core business processes such as credit scoring creates a competitive edge for banks and financial services institutions. It does not require a data science team, expertise, or platform rollout. Explore an ML-based credit-decisioning model built by ElectrifAi in collaboration with AWS whose model rapidly determines the creditworthiness of a SME, and data-driven, actionable insights reduce the overall processing cost and are consistent and free from any potential human biases.