Tag: AWS Partner Solutions Architects (SA)

By Michael Sachar, Pallavi Upadhye, and Pradeep Raju – Cognizant By Raja GT, Cody Shive, Shaf Begen, and Saurabh Mathur – AWS cognizant As the retail landscape continues to evolve, retailers look for new technologies like Amazon’s Just Walk Out technology to enhance the in-store shopping experience for their customers. While retailers are evolving, so […]

By Lenley Hensarling, Chief Product Officer – Aerospike By Akshay Patel, Senior Practice Lead, SaaS Partners – AWS SaaS Factory By Anthony McClure, Senior Partner Solutions Architect – AWS SaaS Factory By Bill Tarr, Principal Solutions Architect – AWS SaaS Factory Aerospike Real-time, high-performance workloads demand low-latency databases that can scale to meet the most […]

Amazon outsourced management of its out-of-warranty device repairs to Genpact to meet regulatory requirements and customer expectations. Learn how Genpact leveraged its ContactUs.Ai framework and Amazon Connect to create an omnichannel solution allowing self-service and live support. This extends device lifetimes, increases customer satisfaction, and aligns with Amazon’s ESG priorities around Right to Repair regulations in Europe.

By Satish Vaidhyanathan, Head, Integrated Solutions Design – Wipro By Sindhu Vaddi, Consultant, Data/Analytics/Intelligence – Wipro By Scott Willis, Sr. Partner Solutions Architect – AWS Wipro Traditional data stacks within an organization have a diverse mix of systems, tools, technologies, and architecture implementations. These data stack components require complex integrations to ingest, process, and store […]

In this exclusive interview for our blog, we sat down with Joaquin Lippincott, the CEO of Metal Toad, to delve into the innovative Securitoad Machine Learning Security SaaS solution. Joaquin generously shared his expertise on how they strategically built their latest offering on the AWS Marketplace. His insights offer invaluable lessons for software providers aiming to embrace this modern delivery mode.

Snowflake By Daniel Wirjo, Solutions Architect – AWS By Benny Chun, Solutions Architect – AWS By Bosco Albuquerque, Sr. Partner Solutions Architect – AWS By Hans Siebrand, Cloud Data Architect – Snowflake By Matt Marzillo, Sr. Partner Engineer – Snowflake With recent advancements, building a data platform to provide a data foundation for generative AI […]

HCLSoftware’s automation product, HCL Workload Automation (HWA), now integrates with AWS Step Functions. This integration offers a comprehensive automation solution, streamlining complex workflows across cloud and on-premises environments. It enables organizations to automate more use cases with increased efficiency, scalability, and reliability, utilizing the robust AWS ecosystem of services. This strategic partnership empowers customers to transform their IT landscape through centralized, cloud-native automation.

Cisco Security Cloud uses Anchore to achieve FedRAMP compliance for its cloud solutions. Anchore integrates with Cisco’s AWS CodePipeline, Amazon ECR registry, and Amazon EKS to scan containers throughout the pipeline, enforcing vulnerability policies. Its integration allowed Cisco to expand Anchore to Amazon ECS and generate software bill of materials for the cybersecurity executive order. The comprehensive Anchore solution on AWS strengthened Cisco’s regulated security posture.

Organizations can enhance resilience by implementing Amazon Security Lake for centralized security data storage, Splunk for real-time data analysis, and Recorded Future for advanced threat intelligence. This unified approach tackles data silos, complex analysis, slow threat detection, compliance challenges, and inefficient resource utilization. Security Lake aggregates data sources, Splunk analyzes it with AI/ML for swift threat identification, and Recorded Future provides external intelligence context.

Arcanum AI migrated its generative AI workloads from OpenAI to AWS using a two-phase model evaluation process. Open-source LLMs were tested out-of-the-box and with customized prompts, scored by experts, and evaluated against existing use cases. Amazon Bedrock provided a private network and access control for handling sensitive client data. AWS’s AI services enabled Arcanum to deploy top-performing LLMs securely in clients’ VPCs, outperforming OpenAI models while meeting security needs.