AI Squared Blog

Unlock the Potential of AI: How Reverse ETL is Supercharging MLOps

Unlock the Potential of AI: How Reverse ETL is Supercharging MLOps

The difficulty in the constantly evolving fields of artificial intelligence and machine learning is frequently not in creating complex models but rather in successfully operationalizing them. We typically struggle as AI/ML engineers to integrate our models into current business processes and systems because of the complexity of doing so.

AI Squared + Multiwoven. The Next Frontier in the Delivery of AI Insights to Business Applications

AI Squared + Multiwoven. The Next Frontier in the Delivery of AI Insights to Business Applications

Author: Benjamin Harvey, Ph.D., Founder and CEO of AI Squared Navigating the intricate landscape of data management has become an increasingly daunting task for enterprises, particularly in light of McKinsey's recent revelation that 72 percent of leading organizations identify data management as a paramount challenge inhibiting the

AI Squared Earns $13.8M Series A Funding: Putting the Power of AI Into the Hands of the Business

AI Squared Earns $13.8M Series A Funding: Putting the Power of AI Into the Hands of the Business

Benjamin Harvey, Ph.D., Founder & CEO at AI Squared

Multiwoven 0.2.0 - An Exciting Leap Forward

Multiwoven 0.2.0 - An Exciting Leap Forward

We are thrilled to announce the release of Multiwoven 0.2.0, This release is a significant milestone for us as it brings a host of new features, refinements, bug fixes and some strategic enhancements to the platform. Here’s a snapshot of the key updates in this release. Multiwoven

“Universal AI” — Reconciling the Debate between Narrow AI and Artificial General Intelligence

“Universal AI” — Reconciling the Debate between Narrow AI and Artificial General Intelligence

By Jacob Renn, Ph.D. (Chief Technologist at AI Squared) — April 3, 2024

Revolutionizing Data Integration with AI Squared’s Platform

Revolutionizing Data Integration with AI Squared’s Platform

By Praneeth Chandu (Software Engineer at AI Squared) — April 2, 2024

Leveraging Browser-Based Computing: The Cost and Compute Advantages of AI Squared’s Model Cards

Leveraging Browser-Based Computing: The Cost and Compute Advantages of AI Squared’s Model Cards

By Praneeth Chandu — April 1, 2024

ETL vs ELT: Explained

ETL vs ELT: Explained

Introduction ETL (Extract, Transform and Load) and ELT (Extract, Load and Transform) are data integration methods used to collect data from multiple sources to a central destination. ETL transforms data before storing it while ELT transforms data after it is stored in the central repository. In this article we explore

Reverse ETL 101

Reverse ETL 101

Rapidly growing silos of data Businesses collect a large amount of data from various sources such as websites, mobile apps, physical points-of-sale and third-party tools. This data typically resides in a data warehouse like Snowflake, Amazon Redshift, Databricks, Google BigQuery or PostgreSQL. However, this data is often underutilized as it&

Hello World.

We are building Multiwoven on a foundation of certain principles. These principles give shape to Multiwoven’s product, its impact on both users and end-consumers, and even how we operate with our community and internally as a team. 1. Customer data security comes first Ahead of even product features.Third-party

🚀 AI Squared’s Top 10 Moments of 2023: A Year in Review 🚀

🚀 AI Squared’s Top 10 Moments of 2023: A Year in Review 🚀

As we approach the end of a remarkable year, it’s time to reflect on the milestones and achievements that have shaped AI Squared’s journey…

DLite V2: Lightweight, Open LLMs That Can Run Anywhere

DLite V2: Lightweight, Open LLMs That Can Run Anywhere

By Jacob Renn and Ian Sotnek — September 5, 2023

Using and Testing Tensorflow Models in the Browser with AI Squared

Using and Testing Tensorflow Models in the Browser with AI Squared

By Ian Sotnek and Jacob Renn @ AI Squared

Improving Decision Making with Intelligent Applications

Improving Decision Making with Intelligent Applications

Making ML outputs actionable, accurate, and relevant for end users

Creating Sparse, Multitask Neural Networks

Creating Sparse, Multitask Neural Networks

A new machine learning framework for sparse multitask models.