Data and AI technology for manufacturing is having a moment. As AI has expanded its lengthy reach into manufacturing, there have been several purpose-built releases lately from companies like Nvidia and Databricks that are helping companies make sense of the deluge of data collected on everything from physical operations to the supply chain. Snowflake is now part of this action with the debut of its Manufacturing Data Cloud. The company says this new offering will enable companies in the automotive, technology, energy, and industrial sectors to tap into the value of siloed industrial data by leveraging Snowflake's data platform, partner solutions, and industry-specific datasets. The Snowflake Data Cloud provides a platform for data warehousing, SQL analytics, machine learning, data engineering, and monetization of third-party data.

AWS has introduced AI for data analytics (AIDA) partner solutions, which embed predictive analytics into mainstream analytics workspaces. AWS AIDA partner solutions make it possible for business experts to use artificial intelligence (AI) and machine learning (ML) to derive better insights from data and take action. These AI/ML solutions from Amazon Web Services (AWS) Partners have interfaces and integrations that help bring predictive analytics into the normal workflow of business experts, those who use data to run their business, and those who have limited data science experience. AWS AIDA includes partner solutions from Amplitude, Anaplan, Causality Link, Domo, Exasol, InterWorks, Pegasystems, Provectus, Qlik, Snowflake, Tableau, TIBCO, and Workato. Organisations have varying levels of maturity in their analytics journey.