Category: Intermediate (200)

Instinet is a SaaS-based solution that Ness Digital Engineering built on AWS for the trading and finance industry. It provides technologically advanced brokerage services and helps institutional investors improve performance by reducing complexity and costs. The solution modernized Instinet’s trade processing and solved challenges with Instinet’s previous on-premises, batch-driven architecture.

SaaS relies on the cloud for efficient delivery, but faces data challenges like tenant isolation, high storage costs, and compliance requirements. Amazon FSx for NetApp ONTAP solves these by providing multi-tenancy, storage efficiencies, persistent Kubernetes storage, and more. It enables SaaS providers to enhance agility while managing data availability, protection, security and costs. Arcesium reduced dev/test refreshes by 80% and overall costs by 46% using FSx for ONTAP.

Pinecone has developed a novel serverless vector database architecture optimized for AI workloads like retrieval-augmented generation. Built on AWS, it decouples storage and compute and enables efficient intermittent querying of large datasets. This provides elasticity, fresher data, and major cost savings over traditional architectures. Pinecone serverless removes bottlenecks to building more knowledgeable AI applications economically at scale on AWS.

The travel and transport industry faces increasing pressure to reduce emissions due to environmental regulations and consumer demand. However, a gap exists between consumers’ stated willingness to pay more for sustainable options and their actual behavior. TCS GreenMiles Mobility aims to bridge this gap by providing data-driven insights, discoverability of emissions hotspots, control over reducing emissions through operational changes, and predictability through modeling net-zero pathways.

Amagi provides cloud broadcast solutions with tiered redundancy offerings to mitigate risks for broadcasters during disruptive events. Its CLOUDPORT platform supports hot, warm, and cold disaster recovery configurations spanning single/multi AWS Availability Zones and regions for varying recovery times. Exhaustive tuning, testing, and regular DR drills validate the failover capabilities aligned with broadcaster requirements for cost-effective business continuity.

As organizations move to the cloud, securing workloads, applications, and data becomes critical. This post discusses using Zscaler Zero Trust Exchange to provide comprehensive cloud security. Key security capabilities highlighted include SSL inspection, data loss prevention, and URL filtering policies tailored for cloud workloads. The post provides guidance on design considerations and implementing baseline security policies within the Zscaler platform.

While healthcare organizations understand the importance of patient data, there’s no efficient framework for secure sharing. Many retain data rather than risk exposure, resulting in siloed, inaccessible information. Oncoshot built a federated AWS platform on AWS that enables secure data exchange, connects experts with real-time patient insights to accelerate trial enrollment, and expedites potentially life-saving therapies without exposing patient data.

Many organizations want to migrate from legacy BI tools to Amazon QuickSight, but manual migration cab be costly. Wavicle’s QuickSight Migration Solution (QMS) automates and optimizes this process, analyzing existing dashboards, identifying duplication, automating conversion, and facilitating a seamless rollout. This reduces migration effort, costs, and risks so organizations can rapidly realize QuickSight’s self-service analytics, flexibility, and cost savings.

Designing an ecommerce data analytics service poses challenges like data integration, quality, scalability, real-time processing, security/privacy, and visualization. Thoughtworks leverages AWS services to build data products that acquire, clean, transform, model, and visualize ecommerce data for analytics. Its systematic approach identifies sources, acquires data, cleans/stores it, models products, deploys with CI/CD, and visualizes insights in dashboards.

Contact centers can improve customer experiences using generative AI, which creates new content and conversations. Accenture’s Connected Customer Experience (CCE) solution incorporates AWS services to provide personalized human and AI interactions. It uses generative AI for agent assist, call summarization, and self-service FAQs. By leveraging generative AI on AWS, CCE aims to enhance agent productivity, reduce handle times, and deliver exceptional customer experiences.