Ayan Ray

1 month ago | aws.amazon.com | Ishan Singh |Adewale Akinfaderin |Ayan Ray |Jesse Manders

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle. As these AI technologies become more sophisticated and widely adopted, maintaining consistent quality and performance becomes increasingly complex. Traditional AI evaluation approaches have significant limitations.

Jul 25, 2023 | aws.amazon.com | Don Bosco Durai |Jason Payne |Ayan Ray |Lovelesh Chawla

AWS Partner Network (APN) Blog By Don Bosco Durai, Co-Founder and CTO – Privacera By Lovelesh Chawla, Director of Solutions Engineering – Privacera By Jason Payne, Sr. Sales Engineer – Privacera By Ayan Ray, Sr. Partner Solutions Architect – AWS A big challenge when working to break down data silos is making the right data securely available to the right user across the organization.

Jul 25, 2023 | elastic.co | Udayasimha Theepireddy |Ayan Ray

Let’s now look at a few setup steps and a few implementation steps to create a working search solution: Setup steps:1. Sign up for a free trial of an Elasticsearch cluster with Elastic Cloud. 2. Create a new deployment on AWS following these steps. 3. Add a new machine learning node following the steps below. This will enable you to run machine learning models in your deployment. Click on Edit under Deployment Name in the left navigation bar. Scroll down to the Machine Learning instances box.

Apr 20, 2023 | aws.amazon.com | Ayan Ray

By Don Bosco Durai, Co-Founder and CTO – Privacera By Lovelesh Chawla, Director of Solutions Engineering – Privacera By Ayan Ray, Sr. Partner Solutions Architect – AWS Data is a strategic asset for every organization and companies are using data to drive critical business decisions—like when to offer new product offerings, how to introduce new revenue streams, and ways to earn trust with customers.