The Future of Knowledge Retrieval: Introducing GraphRAGIn today’s world of rapidly evolving AI, the need for more intelligent and accurate content retrieval systems has become essential…Sep 11Sep 11
Are Small Language the Winning Strategy for Enterprise?In the world of artificial intelligence (AI), the advent of large language models (LLMs) like GPT-4 has sparked both awe and concern, as…Nov 23, 2023Nov 23, 2023
Architecture patterns for building Generative AI ApplicationsIn this blog post I will take you through some of the most common usage patterns we are seeing with customers for Generative AI. We will…Aug 30, 2023Aug 30, 2023
How to decide on Model Deployment Using Sagemaker in AWSAWS Sagemaker is a managed instance to Build, Train, Tune and Deploy Data Science models. Below section describes the components within…Jun 7, 2023Jun 7, 2023
Snowflake and Databricks Complementing the Modern Data ArchitectureSnowflake and Databricks both the platforms are marketing themselves as complete end to end AI/ML platform but many organizations are using…Mar 20, 2023Mar 20, 2023
Battle of Data Platforms: Databricks vs Snowflake.Before getting into the details of both the platforms lets try to check a very basic Big Data Architecture. Left hand side of the spectrum…Feb 27, 20231Feb 27, 20231
Data CleanroomData Clean Rooms (DCRs) are secure environments that enable multiple organizations (or divisions of an organization) to bring data together…Sep 23, 2022Sep 23, 2022
Want to do multi-dimensional analysis directly on data in Snowflake AtScaleWant to Unify, integrate, analyse, and share previously siloed data with a near-zero management platform that delivers virtually unlimited…Sep 19, 2022Sep 19, 2022
AtScale and Databricks a Match Made in HeavenHow does a successful implementation of Data Analytics strategy help organizations?Jun 24, 2022Jun 24, 2022
