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25 Jan 2023

Watch Out: 3 AI Trends You’ll Be Seeing In 2023

Watch Out: 3 AI Trends You’ll Be Seeing In 2023
Over the years, artificial intelligence tools have evolved rapidly, and whilst the technology is changing, here are three trends to be aware about for 2023.

Over the years, artificial intelligence tools have evolved rapidly, and whilst the technology is changing, here are three trends to be aware about for 2023.

Generative AI

Generative AI will continue to make headlines, but some hard questions are going to be asked about IP protection, privacy, misuse of the technology, and monetization.

Generative systems are a form of artificial intelligence that can create new content by itself. Generative AI 2.0 is based on generative adversarial networks (GANs), which can produce higher quality results at lower cost than older methods. These new approaches have enabled new applications such as automated image captioning, audio synthesis from text and story generation from video descriptions.

In 2022, the runaway headlines on AI Business revolved around generative AI, specifically ChatGPT, Stable Diffusion and DALL-E.

More Corporate AI Applications

Artificial intelligence has been used for many years in a variety of industries, to the point where widespread adoption in the enterprise is almost inevitable.

The use of AI will expand across the board in workplaces as more non-technical employees will learn to use it to derive better business insights. Experts predict that jobs requesting skills relation to the use of AI in the workplace will increase by 71% in the next three years.

The emphasis will therefore naturally shift from just using AI algorithms to applying them in real-world scenarios and measuring their results.

We'll might also see an evolution from ‘algorithms as black boxes' to a more transparent and collaborative approach between developers and users!

The Potential for AI in Healthcare

Artificial intelligence has already begun to transform the way healthcare providers do business.

AI-powered tools are already being used in medicine to assist doctors in disease diagnoses, recommend treatment regimens and make other medical decisions. In radiology, for example, AI is able to detect tumors and other abnormalities in MRI and CT scans with a high degree of accuracy.

Other areas where AI is making a difference include drug discovery, where it's being used to predict the properties of molecules and accelerate the development of new drugs; health insurance and payment models; clinical decision support; and personal health records (PHRs).

This represents a huge opportunity for software providers, as planned spending for the Department of Health and Social Care in England is £180.2 billion in 2022/23.

Want more on this? Sharon Fisher wrote this exclusive report on AI and ML breakthroughs in medical care, and why most patients don’t see them yet.

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