AWS Partner Network (APN) Blog

Category: Intermediate (200)

NVIDIA-APN-Blog-110822

Privacy-Preserving Federated Learning on AWS with NVIDIA FLARE

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.

Automatically Detect and Protect Sensitive Data in Amazon S3 Using PK Protect Data Store Manager

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.

Accelerate the Launch of New Digital Banking Propositions with Platea from NTT DATA

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.

ElectrifAi-APN-Blog-110222

Fast, Accurate, Alternate Credit Decisioning Using ElectrifAi’s Machine Learning Solution on AWS

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.

Fivetran-APN-Blog-110222

How to Secure Data Movement with Fivetran and AWS PrivateLink

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.

DuploCloud-APN-Blog-110122

Provisioning Secure and Compliant Applications on AWS with DevSecOps and DuploCloud

It has become increasingly important for companies to meet security and compliance standards set forth across industries today, but this is particularly a hurdle for smaller ISVs and startups that do not have the resources and budget to navigate the ever-growing list. Learn about an approach and best practices for SOC 2 compliance, and how DuploCloud accelerates time to compliance by natively integrating security controls into mainstream DevOps workflows.

Smarsh-APN-Blog-110122

Keeping Pace with FinServ Regulatory Compliance Demands with Smarsh and AWS

Enterprises require the ability to be proactive on modern governance challenges. The difficulty is knowing what data you have, where it’s located, its business value or risk to the organization, and how it can be protected. The Smarsh Enterprise Platform enables companies to capture, retain, analyze, and act on the “signals” in communications that are most critical to the business. These include compliance and brand risks and may expand to include security threats, cultural indicators, untapped revenue opportunities, and more.

SourceFuse-APN-Blog-103122

Leveraging Amazon Transcribe and Amazon QuickSight to Extract Business Intelligence from Call Center Data

Many organizations record calls which are potential gold mines of rich insights about customer satisfaction, customer churn, competitive intelligence, service issues, agent performance, and campaign effectiveness. However, the sheer volume of phone calls exceeds a contact center’s ability to review and analyze them in order to glean those valuable insights. Learn how SourceFuse used custom microservices development to design a call center solution for a healthcare customer.

Presidio Builds Conversational Bots Using Amazon Lex and the Amazon Chime SDK

With the rise of voice assistants like Amazon Alexa, customer expectations for handling inquiries and transactions have shifted from the outdated phone keypad, also known as dual tone multi-frequency (DTMF), to modern conversational AI that enables machines to communicate with human beings. In this post, we demonstrate how Presidio implemented conversational AI to check the wait time and reserve a table at a restaurant using Amazon Chime SDK, Amazon Lex, and Amazon Polly.

Multi-Account Threat Intelligence Using AWS Organizations and Sumo Logic Cloud SIEM

DevSecOps teams are responsible for providing enhanced infrastructure observability while ensuring they have the ability to respond to security events in a matter of minutes across the entire organization. To address this challenge, Sumo Logic and AWS collaborated to build a solution that provides end-to-end security and incident management (SIEM) across an enterprise using AWS Organizations. This SIEM solution is based on the AWS Security Reference Architecture.