Today, health is associated with a wide range of fields such as mental, social, political, economic, and urban health.

Data analytics developments, including AI-powered analytics, that we’ll see in 2024 offer significant benefits for expanding our knowledge and making better data-driven decisions. Data analytics examines, cleans, transforms, and interprets data to uncover…

In today’s rapidly evolving business landscape, the integration of cutting-edge technologies has become paramount and the marriage of financial planning with data analytics stands at the forefront of this revolution. As Jadd Elliot Dib, Founder and CEO at…

Explore how data science is changing various industries! How data-driven insights can help boost innovation and propel growth.

The insurance industry needs to catch up, insurtech CEO warns

Digital Commerce 360 recaps its artificial intelligence (including generative AI) and machine learning coverage in online retail in 2023.

Artificial intelligence and heavy industries such as cement, steel, energy and chemicals would seem to occupy worlds at opposite ends of the technology spectrum. But the two worlds are increasingly colliding as “hard-to-abate” industries, which cannot easily…

An inner monologue can help a machine learn to perform complex tasks more reliably

Some of the questions are political, some philosophical, and some—like whether or not AI can draw an eight-breasted tiger—are a little absurd.

ChatGPT will super-power VW’s voice assistant.

Find out how companies are using AI analytics to get critical insights from social listening and customer feedback data for targeted business decisions.

Challenging questions are rising around enterprise AI strategies, and CIOs must at least be able to shape the conversations around these issues if not answer them.

Massive disruption is expected--again--in the automotive, transportation scene if companies do not get caught up in AI hype.

If you are an entrepreneur, AI could help you save money and increase productivity. However, as with all technological advances, you must understand the risks associated.

A cross-disciplinary research team from the University of Alberta is using health-related, lifestyle, socio-economic and other data to develop machine learning programs to predict the future mental and ...