Large amounts of data ("big data") offer enormous potential for improving the accuracy of genome-wide predictions in plant breeding. Encouraged by successful results with wheat hybrids, researchers at ...

According to a recent survey, the typical adoption rate of analytics is 26%. This means that when nine managers gather together in a room to make enormous strategic and operational decisions, seven of ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

Data is important to the multifaceted goals of today’s enterprises — that isn’t news. From logistics to supply chain management, customer service, retail, manufacturing and service/solutions delivery, ...

Sustainability is among the top concerns of industry leaders nowadays, who already work vigorously to implement sweeping measures to decarbonize their operations and boost energy efficiency. However, ...

Since extreme weather events have become catastrophic across the globe, environmental, social and governance compliance has become top of mind for enterprises. This is why an intensive-data approach ...

Market pressures, competitive differentiators, customer service expectations and new capabilities are just a few of the reasons that insurers are sprinting to enable new technologies and processes ...

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value. CIOs everywhere will be familiar with the major issues caused by ...

The football analytics boom has been firmly established, but its role within the game remains debated. Some argue that data has cleansed the game to such an extent that football has become too uniform ...

When Billy Beane, general manager of the Oakland Athletics from 1997-2015, started using data analytics to build a winning baseball team on a budget, many in the baseball community were skeptical.