Category: Amazon Machine Learning

The MuleSoft Bedrock Connector for Amazon Generative AI is a powerful integration solution that bridges the gap between MuleSoft’s Anypoint Platform and Amazon’s cutting-edge generative AI services. This open-source connector enables organizations to seamlessly incorporate Amazon’s Bedrock capabilities into their existing systems and applications, unlocking the ability to build innovative AI-powered workflows, automate complex processes, and enhance customer experiences. By leveraging this connector, businesses can drive accelerated innovation, deliver exceptional customer service, boost operational efficiency, and enable data-driven decision-making through the combination of MuleSoft’s integration capabilities and Amazon’s generative AI capabilities.

Evaluating Large Language Models (LLMs) for the responsible deployment of Generative AI applications is a critical aspect of this journey. Learn how Caylent’s solution enables customers to build a human-in-the-loop LLM evaluation and benchmarking workflow.

By: Hamdy Eed, Sr. Partner Solution Architect – AWS By: A. Soundarapandian, Data Science Practice Head – Hexaware By: Teena Jain, GenAI Solution Lead – Hexaware By: Zeba Shaikh, Technical Solution Architect – Hexaware By: Piyush Patra, Partner Solution Architect – AWS Introduction: In this blog post, we will focus on equipping our readers with […]

In this blog, you’ll learn how Neurons Lab, an AWS Advanced Tier Services Partner, collaborated with Peak Defence to automate compliance processes using Amazon Bedrock with Anthropic Claude 3 model and Amazon Sagemaker. The generative AI solution streamlines cybersecurity audits and RFP responses, reducing time and resources required. It covers architectural considerations, operationalization with AWS services, LLM evaluation, and continuous improvement.

By Vanitha Jayasuriya, Full Stride Cloud Solution Lead, Germany – Wipro By Yedu Kuruvath, Alliances and Partner Development Lead, AI Practice – Wipro By Shaban Saddique, AWS Business Group Director, Europe – Wipro By Benson Philip, Sr Partner Development Manager, EMEA – AWS By Bindhu Chinnadurai, Sr Partner Solutions Architect, EMEA – AWS Wipro Introduction […]

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.

In April, Amazon Web Services (AWS) unveiled a suite of groundbreaking features for Amazon Bedrock and Amazon Q, ushering in a new era of generative AI capabilities. Learn how AWS Partners are leveraging the latest Amazon Bedrock and Amazon Q features to transform how they build, scale, and deploy intelligent applications—unlocking unprecedented opportunities for innovation and efficiency.

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.