Category: Intermediate (200)

Many organizations leverage unstructured data collected from social media feeds, stock streaming, and data clickstream to gain insights about the needs of their customers. The EZ Lake Access (EZLA) solution developed by TCS centralizes and simplifies access management of the Data Lake House by codifying most of the enterprise access controls in the form of a rule engine. This provides increased efficiencies and easy adoption of the Data Lake House.

Today’s global marketplace relies heavily on contact centers for streamlining, maintaining, and maximizing customer service and sales at scale. Explore the role of machine learning solutions in transforming contact centers and the key aspects of Quantiphi’s contact center intelligence (CCI) solution built on AWS. Learn how it helped a U.S.-based consumer healthcare organization address contact center challenges by using custom artificial intelligence and ML techniques.

The evolution of cloud service providers has helped modern applications achieve fluctuating and high demands of infrastructure, software-defined networking and storage, and seamless integration with managed services. The case study highlighted in this post describes how to bridge the gap between infrastructure-as-a-service and integration-platform-as-a-service models for implementing an API. Cognizant’s customer in this scenario is one of the world’s most-used business credit report providers, based in Europe.

Many customers operate in a hybrid environment with on-premises infrastructure interconnected with a cloud provider’s infrastructure. This post details how HCLTech used the AWS Centralized Log Management Reference Architecture, and discusses how HCLTech removed the requirements for Amazon Kinesis Data Streams. We also explore how HCLTech used Amazon Kinesis Data Firehose to stream from an Amazon CloudWatch Logs destination in a centralized logging account.

Mobile devices with extremely long battery life are enabling new use cases and will cover a much larger part of the exponentially growing IoT market. Learn how the asset tracking devices developed by General Mechatronics and AWS enable a secure and scalable platform for novel IoT applications. General Mechatronics is an AWS Partner that’s supporting customers on IoT product development, including the operation of related IoT infrastructure.

Security teams face exponential compute asset growth over the course of minutes that previously may have taken months or years. Tenable, an AWS Security Competency Partner, has built a solution to ease the burdens for organizations that prioritize moving fast but want to maintain the same level of threat and risk detection. Dive deep on Tenable’s Frictionless Assessment for AWS solution to keep your Amazon EC2 instances inventoried and scanned.

Operational excellence is a key challenge for SaaS providers as it deals with the ability to run and monitor workloads effectively and to continuously improve supporting processes and procedures to deliver business value. Implementing AWS best practices will enable you to handle and respond to continually shifting tenant workloads and usage patterns, and use data-driven insights to achieve desired business and technical outcomes.

Servion started collaborating with AWS on hosting custom applications built for contact center customers. This helped Servion acquire knowledge of AWS services related to security, administration, load balancing, database, and networking. Learn how to build differential and personalized experiences using Amazon Connect contact flows, AWS Contact Center Intelligence (CCI) services, and ServDesk agent widgets.

Tagging helps organizations optimize expenses while improving the ROI of their cloud deployments and providing an effective means of allocating expenses to the correct cost centers. Tagbot is a simple tool that uses AI/ML to expose the tag coverage in your AWS environment. Built by TrackIt and available on AWS Marketplace, Tagbot addresses the business impact associated with how well-tagged your infrastructure is.

Building IoT device hardware is complex, and hardware developers are looking for guidance on design considerations and development trade-offs to decrease design time and increase the value connected devices can bring. AWS works with IoT partners to simplify, accelerate, and optimize the device development journey. In this post, explore the hardware considerations and solutions offered by AWS Partners to address and minimize risk, time to market, and cost of IoT device development.