Remove Artificial Intelligence Remove Big data Remove Education Remove Manufacturing
article thumbnail

The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

article thumbnail

Generative AI use cases for the enterprise

IBM Big Data Hub

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Healthcare, insurance and education are more hesitant due to the legal and compliance efforts to which they must adhere—and the lack of insight, transparency and regulation in generative AI.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. The AGI analyzes the data and identifies a rare genetic mutation linked to a specific disease.

article thumbnail

Data security: Why a proactive stance is best

IBM Big Data Hub

Thirty percent of those incidents occurred in manufacturing organizations. It means physically securing servers and user devices, managing and controlling access, application security and patching, maintaining thoroughly tested, usable data backups and educating employees.

article thumbnail

The profession's biggest problem: diversity

CILIP

An Honorary Professor at Teesside, Liz is a Principal Fellow of the Higher Education Academy and a Fellow both of CILIP and the Royal Society for the encouragement of Arts, Manufactures and Commerce (RSA). Technology can be an opportunity but in an era of big data, ?fake artificial intelligence it can seem like a threat.

article thumbnail

Leveraging IBM Cloud for electronic design automation (EDA) workloads

IBM Big Data Hub

Electronic design automation (EDA) is a market segment consisting of software, hardware and services with the goal of assisting in the definition, planning, design, implementation, verification and subsequent manufacturing of semiconductor devices (or chips). This area of focus is known as design for manufacturability (DFM).

Cloud 85
article thumbnail

Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

The nomenclature can extend to include Data as a Service (DaaS), Content as a Service (CaaS), and Managed Content as a Service (MCaaS) to deliver digital interaction experiences to customers. More recent technology trends include Blockchain as a Service (BaaS) and Artificial Intelligence as a Service (AIaaS). Patrizio, Andy.