Description

Quickly understand complex data sets with advanced statistical procedures that ensure high accuracy and quality decision making. Gain AI-powered data integration for access to trusted data across data lakes and multicloud and hybrid cloud environments.

Artificial intelligence

Computer security, cybersecurity (cyber security), or information technology security (IT security) is the protection of computer systems and networks from attack by malicious actors that may result in unauthorized information disclosure, theft of, or damage to hardware, software, or data, as well as from the disruption or misdirection of the services they provide.^[1][2]

The field has become of significance due to the expanded reliance on computer systems, the Internet,^[3] and wireless network standards such as Bluetooth and Wi-Fi, and due to the growth of smart devices, including smartphones, televisions, and the various devices that constitute the Internet of things (IoT). Cybersecurity is one of the most significant challenges of the contemporary world, due to both the complexity of information systems and the societies they support. Security is of especially high importance for systems that govern large-scale systems with far-reaching physical effects, such as power distribution, elections, and finance.^[4][5]

Artificial intelligence is the ability of machines to perform tasks usually associated with human beings. It includes concepts such as machine learning, deep learning, neural networks, natural language processing, and visual recognition. AI uses supervised learning, unsupervised learning, reinforcement learning, and deep learning to learn and train models with data.

Deploying intelligent automation across an enterprise and ecosystem can build a more adaptable business, one that can rapidly respond, pivot, scale up or down, and adopt new operating models. It is not necessarily the fittest, fastest, or strongest that will survive future disruptions—but the most adaptable.