Informa: Resilience and Reinvention: Enterprise IT in 2022 (Dec. 9th)
IT News - AI

AI And Deep Learning
Datamation, November 8th, 2021
The horizon of what repetitive tasks a computer can replace continues to expand due to artificial intelligence (AI) and the sub-field of deep learning (DL).

Artificial intelligence gives a device some form of human-like intelligence.

Deep learning is an AI technology that has made inroads into mimicking aspects of the human brain - giving a device the ability to process information for contextual analysis and action.

Researchers continue to develop self-teaching algorithms that enable deep learning AI applications like chatbots.

To understand deep learning better, we need to understand it as part of the AI evolution:

The use of conversational AI tech has been increasingly rapidly, in part thanks to covid.

A long-term fallout of the Covid crisis has been the rise of the contactless enterprise, in which customers, and likely employees, interact with systems to get what they need or request. This means a pronounced role for artificial intelligence and machine learning, or conversational AI, which add the intelligence needed to deliver superior customer or employee experience.

Deloitte recently analyzed patents in the area of conversational AI to assess the direction of the market -- and the technology has been developing quickly.

After two years of rapid change, what's next for enterprises? Forrester Research offers their top 5 predictions for AI and also for automation in 2022

Just when you thought it was safe to go back to normal -- are you ready for round two?

'There are big changes ahead,' says Forrester VP Brandon Purcell. 'There are a lot of changes that have been brought about by what happened over the last 2 years. The pace of change is very rapid. There are pretty big things happening.'

Purcell spoke with InformationWeek about the predictions for AI in 2022 and beyond.

Artificial intelligence is improving the ways how the food items are produced, packed and marketed.

The Covid-19 pandemic had a powerful impact on the food business, prompting the implementation of new technology. Food firms are digitizing their manufacturing floors with the use of robotics, e-commerce, and digital food-management systems. Restaurants are also using AI technology and robots for hospitality and cooking, as well as to promote e-commerce. Food technology trends are indicating a shift toward more sustainable and customized food options. Alternative protein sources, regional foods, and tailor-made nutrition are among them.

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