Tag: AWS Partner Solutions Architects (SA)

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.

AWS Partners can achieve profitability by optimizing their offerings and aligning with customer needs. Key recommendations include mapping offerings to customer challenges through workshops, integrating solutions via partner collaboration, tailoring portfolios for segments/industries, leveraging APN programs as entry points, and using tools like the Customer Engagement Incentive. By understanding customer journeys and using AWS resources, partners can drive a $6.40 multiplier in revenue per $1 AWS sold.

The Synopsys.ai electronic design automation (EDA) suite on AWS harnesses AI to optimize chip design. A key component is Synopsys DSO.ai, using reinforcement learning to enhance power, performance, and area. Benefits include faster optimization, better engineer productivity, design reuse, and faster process node migration. Deploying on AWS ParallelCluster provides auto-scaling, elasticity, and fast setup for massive EDA workloads. Testing showed 20% lower power, timing closure improvements, and significant cost savings.

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.

A content delivery network (CDN) caches content closer to users and reduces load times. Monitoring CDN performance is crucial for optimizing user experience, and this post demonstrates building an Amazon QuickSight dashboard with generative AI capabilities to gain insights from Fastly CDN logs in Amazon S3. It covers configuring real-time log streaming, using AWS Glue to catalog data, accelerating dashboard creation using natural language, and creating rich data stories for stakeholders.

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.