Category: Amazon Machine Learning

By Hiranya Bharadwaj — DXC Technology ByLucy Bailey — DXC Technology By Akash Subramani — DXC Technology By Dhiraj Thakur — AWS DXC Technology Global Pharma companies need to prepare extensive documentation to seek regulatory approvals to market their drugs in the country. For each new drug application, thousands of documents must be drafted and […]

Learn how AWS and ThinkCol collaborate to build responsible AI solutions using guardrails and safeguards. With ThinkCol’s Guardrail Solution, businesses can now harness generative AI’s power while mitigating risks of toxicity, hallucination, and misuse. Additionally, organizations have the ability to maintain brand integrity and customer trust through a framework that includes pre-checking queries, generating accurate answers, and post-checking for relevance.

This post discusses an approach to creating a privacy-preserving chatbot using Amazon Bedrock and Skyflow Data Privacy Vault. We explore an architecture pattern for protecting sensitive information, such as personally identifiable information (PII) and intellectual property. The integration of Skyflow into a multi-tenant RAG model allows for an effective data privacy, compliance, and security framework to protect sensitive data throughout a generative AI application’s lifecycle.

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 […]