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Omni Semantic Layer Architecture: AI Agents and the Future of Analytics

omni-semantic-layer-architecture

Giving an AI agent access to your database is the easy part. You now need to get it to return answers your team can actually trust, and also write those answers into the tools developers already use. This is the architecture challenge and I will show you how to solve it with the Omni semantic […]

Can you trust enterprise AI? Only if you have a semantic layer.

can you trust enterprise AI

Every executive team is asking the same question right now: how do we turn our AI investment into better business decisions? The ambition is there; so are the budgets and the tools. But the results do not match expectations. When looking for the reason, people tend to think the model is wrong or there is […]

How to generate synthetic data with an LLM

how to generate synthetic data with an LLM

In this article, we will show you how to build a scalable, safe, and realistic synthetic data generation system. To do this, we will be using a self-hosted LLM via a LangChain-based producer-consumer workflow. In order to ensure privacy compliance, we will leverage differentially private data generation. Why you need synthetic data generation at scale […]

Informatica vs dbt: The Ultimate Comparison

Informatica vs dbt

After more than two decades of honourable service, Informatica PowerCenter is approaching end-of-support. During these years, on-premise, visual, point-and-click tools have also lost the battle to code-driven, cloud-native alternatives, especially in the enterprise arena. Now, enterprise AI ambitions are giving data leaders the ultimate mandate to overcome the traditional enterprise inertia, and do the jump […]

Extracting information with LLMs: GRPO to improve performance

A better way of extracting information with LLMs – GRPO experiment

Large language models are increasingly used for information extraction, where unstructured text needs to be converted into structured data for downstream systems. Looking to make an LLM more efficient and reliable at this task, we ran an experiment with Group Relative Policy Optimisation (GRPO). In this blog post, we will evaluate this reinforcement learning technique […]

Snowflake Intelligence Is Here: Now Your Data Can Finally Talk

Snowflake Intelligence

In most organisations, data is abundant, and yet trusted insights remain scarce. Nearly 40% of CFOs say they cannot fully trust their organisation’s data1. At the same time, consultancies note that dashboards are reaching the end of their usefulness, with static dashboards likely to give way to intelligent conversational systems2. Against this backdrop, Snowflake Intelligence […]

Infinite Lambda and Omni in Partnership to Make Insights More Accessible

Infinite Lambda and Omni in partnership

Infinite Lambda is excited to announce its partnership with Omni, a BI and embedded analytics platform. The collaboration makes it easier than ever to get reliable answers from enterprise data across levels and roles within an organisation. Infinite Lambda brings deep expertise in building modern data platforms, while Omni’s platform provides intuitive self-service analytics tools […]

Real-time purchase intent prediction with ML inference in Snowpark Container Services

Purchase intent ML with Snowflake

Websites tend to reflect the local markets. In Southeast Asian traditional markets, two things are certain: Bargaining Vendors’ talent of reading micro-expressions on a passerby to predict the likelihood of purchase. The combination of these two means that vendors can intervene with a better offer in the right moment, before they lose a potential customer. […]

Let's compare CrewAI, AutoGen, Vertex AI, and LangGraph multi-agent frameworks

Compare CrewAI, AutoGen, VertexAI, LangGraph

In this article, we compare CrewAI, AutoGen, Vertex AI, and LangGraph, four modern multi-agent frameworks, in the context of enabling natural-language (NL) querying and self-service analytics on data platforms. We explore each in terms of key dimensions (NL-to-SQL querying, BI integration, orchestration, semantic-layer support, dev experience, deployment, and target users) and provide small proof of […]

dbt Fusion FAQ: All You Need to Know About the New dbt Engine

dbt Labs has introduced dbt Fusion, a new engine designed to modernise how we work with dbt projects. You might be deciding whether it is time to try Fusion, or simply looking to understand what is changing. This dbt Fusion FAQ article addresses the most common questions. Which data platforms does dbt Fusion support? In […]

Customer Reviews Analytics with Snowflake Cortex: Practical Guide

Snowflake Cortex for Customer Reviews Analytics

As data practitioners, we often get the question of how to use AI to extract meaningful insights from the vast volumes of unstructured customer feedback that companies collect. Recently, we built a demo of such a solution, leveraging the official Customer Reviews Analytics Quickstart and Snowflake Cortex for customer reviews analytics. This article gives you […]