To understand the food production resources necessary to help feed a growing global population, accurate and up-to-date data, such as crop, livestock, aquaculture and fisheries statistics, are crucial ...

Enterprises that solve for reliable external data can more easily scale AI. Those that don't will continue to see progress in ...

It’s been roughly nine months since the first wave of advanced generative AI tools—headlined by OpenAI’s ChatGPT—took the world by storm. According to BCG’s recent AI at Work report, the percentage of ...

When protecting confidential customer data in the financial services sector, one of the most significant risk areas is exposing sensitive information governed by regulations, such as the GDPR and PCI.

AI adoption is rapidly accelerating, but data quality and data governance remain two of the biggest challenges to successful implementation. While AI depends on vast amounts of data, the quality and ...

A manufacturing plant produces more than just goods. It’s also a data factory. Every asset, product, process and system on the plant floor creates and contributes to a staggering volume of data. One ...

Deploying data science into production is still a big challenge. Not only does the deployed data science need to be updated frequently but available data sources and types change rapidly, as do the ...

Aporia, a machine learning (ML) observability platform, today announced the launch of a tool that aims to ease investigation of production data. The company asserts that its Production Investigation ...