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 ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

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 ...

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 ...

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 ...

Traditional economics recognises four factors of production -- land, labour, capital and entrepreneurship. Land includes all the natural resources -- water, oil, ores, natural gas, coal, and forests ...