Tag: Amazon Cognito

Synamedia is a leader in video content protection and distribution, starting with satellite-based distribution access control. As customers have moved to over-the-top (OTT) distribution, content protection now includes protecting against pirated streams. Learn how Synamedia reviews the security challenges that accompany OTT live video and how organizations can combine Synamedia’s Headend Watermaking and Streaming Piracy Disruption capabilities to curtail piracy.

Patch management is a continuous cybersecurity process that includes identifying, reporting, and fixing the system vulnerabilities. An operating system’s patches are part of essential preventative maintenance, necessary to keep machines up-to-date, stable, and safe from malware and other threats. Learn how Tech Mahindra‘s automated patching solution helps and ensures every server on the infrastructure system’s network is up-to-date by patching quickly and efficiently.

The traditional supply chain has a lot of inefficiencies and bottlenecks that can lead to losses and pilferage. Explore an architectural reference from Capgemini for an AWS solution called Trusted Logistics that can help solve these problems in the pharmaceutical industry. Trusted Logistics can be applied to multiple sectors like manufacturing, retail, consumer product, logistics, life sciences, and more. A decentralized ledger is accessible to all participants and transaction records become immutable once entered.

Organizations that have foresight into their business have a competitive advantage. Advanced analytics that enable foresight have historically required scarce resources to develop predictive models using techniques like machine learning. Traditionally, this is a difficult endeavor, but recent progress in ML automation has made democratization of ML a possibility. Learn about the value of augmenting analytics with ML through the Amazon SageMaker for Tableau Quick Start.

One of the most popular ways to innovate products is through the use of prototypes. Traditionally, prototyping involved labor-intensive processes of creating molds, but the old prototyping requirements can be overcome with the power of modern technology. Learn how 3D Systems worked with TensorIoT and AWS to incorporate machine learning into their system and migrate their backend to an ML-compatible framework.

As more organizations make the move to a SaaS delivery model, many are choosing Amazon EKS as the target for their solutions. The programming model, cost efficiency, security, deployment, and operational attributes of Amazon EKS represent a compelling model for SaaS providers. Walk through the key architectural elements of a sample architecture, and learn how to isolate tenants within an EKS cluster, automate tenant onboarding, manage tenant identities, and support routing of tenant workloads.

To help safeguard workplaces from the pandemic, TensorIoT developed SafetyVisor, a suite of machine learning tools that can operate independently or in tandem with existing business infrastructure to monitor safety gear usage (like masks) and social distancing. SafetyVisor’s computer vision models are designed to work with your existing cameras, and the entire solution is built utilizing a flexible architecture to facilitate easy deployment and use.

DXC Technology created a serverless artificial intelligence-powered solution called CoDetect to help detect manifestations of COVID-19 (and other medical conditions) in CT scans. Learn about the AWS services DXC chose for this solution, and explore two functional use cases that demonstrate the benefits of DXC’s CoDetect design and implementation approach. CoDetect is a web-based app that allows end users to submit CT scan studies for an AI model analysis.

In a global pandemic, it can be hard for medical practitioners and patients to get connected and treated. Continually being on top of patients’ progress is also a challenge, along with scarcity of doctors who themselves are affected by the pandemic. Learn about a reference architecture from Capgemini that uses AWS machine learning services to enable doctors and patients to interact with the least amount of physical contact, while also improving efficiency in treatment management, tracking, and auditing.

Itron Idea Labs has been leveraging IoT devices for decades and using technology in innovative ways, but they faced two major problems in developing solutions for public sector organizations: project delays, and large up-front costs. To overcome these challenges, Itron teamed up with TensorIoT and created a new route to integration in the form of the Itron Manhattan SDK, which gives IoT device manufacturers the ability to integrate their devices into the Itron Idea Labs Cloud and AWS.