AI systems have created a multi‑billion‑dollar industry with sustained growth projected, but this has also created the need to make AI systems trustworthy and secure. AI and its associated models —such as machine learning (ML) and deep learning (DL) — have the potential to create a paradigm shift in virtually every sector of the tech industry and for substantial innovation and economic growth.

While these types of machines can perform tasks autonomously, they can do only what they are told and can improve only with direct human intervention. With recent advances in technology and a tremendous increase in the volume and quality of data and intelligent algorithms, ML helps improve learning and performance without humans directly encoding their expertise. These types of data‑driven learning based on algorithms find their own ways of identifying patterns and implement what they learn to make statements about data. There are different approaches to ML that are suited for different tasks and scenarios with different implications.

These approaches can be categorised into the following concepts:

Narrow AI, also known as basic AI, specialises in one area and performs singular tasks by replicating human intelligence.

General AI, also referred to as strong AI, a computer that is as smart and performs much like a human being, it can apply that intelligence to solve any problem.

Super AI exceeds human intelligence and is far more sophisticated than any other AI or even a human brain in practically every field.

AI is a vast subject that involves advanced and complex processes, and the field includes many theories, methods and technologies. To understand how AI actually works, one needs to dive deep into the various subdomains of AI and understand how those subdomains could be applied into the various fields of the industry.

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Activate intelligent outcomes.

Today, more than a quarter of organisations have reached full‑scale deployment of five or more types of AI applications. These organisations rely on AI to improve IT efficiencies, provide analytics insights, mitigate compliance risk and deliver better customer insights and experiences along with much else. Because AI is a rapidly emerging and evolving set of technologies, many organisations lack the internal skills and resources to get started designing, deploying and managing AI solutions. Dell Technologies can help identify, curate and activate your high‑value data so your teams can focus on putting AI to work anywhere in any way to achieve success at any scale as you grow.

Define strategic outcomes.
Analyse your existing technology landscape and form a sound AI strategy to solve your unique business challenges. This may involve education and training to address skill gaps.

Put data to work to realise your AI vision.
Find a partner who can help you develop and deploy powerful, cost‑effective AI solutions that are optimised for your use cases, scalable for future needs and supported with continued enhancement to keep you on the leading edge.

Enhance your competitive advantage to enable innovation.
Evolve your AI vision as use cases change, data grows and demands increase. By harnessing the power of AI everywhere, you can leverage past successes to create new competitive advantages.

Dell Technologies is dedicated to bringing the power of AI to anyone who wants to use it.

Learn how to use AI to fuel better decisions across your organisation in the 15-minute guide. 

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