Hybrid Data Delivery "Cloud Sources" Walkthrough

We have expanded our Hybrid Data Delivery service to load analytics ready data, from a number of cloud-based data sources, directly to snowflake - without the need for Qlik replicate. This initial update currently allows you to connect to data from over 20 cloud-based data sources such as Amazon Redshift, Google BigQuery, and Salesforce and land it directly to a Snowflake as a target on a scheduled basis, so it can be used with your analytics applications – offering a single solution for on-prem and cloud data movement and replication.

Solve a Problem, Change the World w/ Amr Awadallah

A universal human problem that we don’t often address is that historically, knowledge has been relatively siloed by language. But with advancements in AI, there are new opportunities to capture broader and deeper insights across the written and spoken word by breaking down global language and distance barriers. This was the topic of discussion on our most recent Data Legends podcast episode, featuring Amr Awadallah, founder and CEO at ZIR AI and former technology exec at Cloudera, Google, and Yahoo.

Cortex leverages ThoughtSpot Everywhere to innovate in B2B marketing intelligence

Gaining an accurate view of revenue intelligence for B2B markers is challenging. With disconnected and dirty data residing in many systems, customers need a solution that collects, normalizes, and aggregates information into reports that answer the questions B2B marketers should have a handle on. And let’s face it, no matter how great a set of standard reports might be, every customer wants to see their data a little differently.

Data-Centric AI with Continual and Snowflake

Data infrastructure is rapidly growing and evolving along with infrastructure for AI/ML, with the latter growing largely independent from the former. An emerging generation of AI/ML tooling emphasizes data-centric versus model-centric approaches to the ML development lifecycle. These tools recognize that data is the foundation for AI and seek to open opportunities for all data professionals to participate by eliminating the unnecessary complexity of traditional model-centric solutions.

Building Product Analytics At Petabyte Scale

Product analytics is the most critical and complex task for any product team. There are thousands of data points that have to be analyzed carefully while setting up the product analytics foundation and it enables product teams to use data to track, visualize, and analyze user engagement and behavior that can be used to improve and optimize a product experience. However, managing large data workloads can be very challenging as not all data that is collected can be directly used for analytics.

Iguazio named in Forrester's Now Tech: AI/ML Platforms, Q1 2022

We are delighted to share that Iguazio has been named along with Microsoft, Databricks, Cloudera, Alteryx and others in Now Tech: AI/ML Platforms, Q1 2022, Forrester’s Overview of the Leading AI/ML Platform Providers, by Mike Gualtieri. This report by Forrester Research looks at AI/ML Platform providers, to help technology executives evaluate and select one based on functionality aligned with their needs.