IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data 72

Unstructured data Artificial Intelligence Sales Manufacturing 72

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality. trillion in value.

Data science 79

Data science Manufacturing Artificial Intelligence Retail 79

ARMA International

SEPTEMBER 13, 2021

This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. More likely, the organization will resist DT – its new tools and processes to support new business models. This is a best-case scenario. Cloud-First.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Collibra

NOVEMBER 18, 2021

Yes, the ancient pyramids relied not only on labor and raw materials, but on data collection and analysis. . Data collection is what we do. Today, we think of Big Data as a modern concept. Cloud storage, text mining and social network analytics are vital 21 st century tools. Around 300 B.C.E.,

IT 52

IT Data collection Analytics Military 52