Category: Intermediate (200)

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.

One of the key objectives of any transformation program is to find a novel way to achieve results in the shortest possible time, with speed and accuracy. Virtusa has been doing lot of work in the automation-led transformation space and has collaborated with AWS to help realize business benefits for customers across globe. Explore Virtusa’s perspectives on the low-code/no-code approach and walk through a homegrown solution framework.

As the adoption of Amazon EKS for running Kubernetes clusters grows, customers are seeking ways to better understand and control their costs. To address these customer needs and shed more light on EKS costs, AWS has collaborated with Anodot, an AWS Partner that uses machine learning to autonomously monitor and alert on costs in near real time, and provides recommendations to help customers quickly resolve cost anomalies.

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.

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.

Platea Banking is a digital banking solution developed by NTT DATA to be used by clients as an accelerator in their modernization journeys, especially when creating a new banking platform. It’s positioned as a modernization vehicle that provides a ready-to-go digital infrastructure and architecture over both internal and external components as core. Platea includes pre-built functional modules and integrations with a third-party ecosystem, with Mambu at its heart as a core engine.

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.

To reduce the technical complexity and manual processes needed to build pipelines that meet various security policies, Fivetran offers flexible connection options to securely and reliably move enterprise data from source to destination. Fivetran runs on AWS and can support customers syncing data from databases and to destinations hosted on AWS, including the Amazon Redshift data warehouse. Integration with AWS PrivateLink also allows customers to send data without using the public internet.