(a) Crop breeding driven by the next generation of AI and big data technologies will be revolutionized in four areas: (i) high-throughput phenotype acquisition and analysis; (ii) biological big ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

With more and more use cases for AI and all its branches taking shape, big data is surging in relevance as the backbone of these projects—prompting DBAs, IT, data scientists, and more to take a closer ...

Data has taken a new position in the spotlight as the most important part of using AI. If the organization is using corrupt data, insights will vary wildly, and misinformation can damage the company’s ...

Data analytics, business intelligence and data visualization software are critical components of the big data technology stack. They are the tools that everyone from everyday business users to ...