We're here again! We present Neural's annual predictions for Artificial Intelligence. Machine learning and artificial intelligence were some of the hottest topics of the year. It has been a year since an artificial intelligence developer tried to convince the world that one of Google's chatbots had become sentient. We think that next year will be bigger and weird.
We reached out to three thought leaders because their companies are invested in the future. Here are the predictions for Artificial Intelligence in the years to come.
Alexander Hagerup, co-founder and CEO at Vic.ai, told us that we would continue to see progress from humans using artificial intelligence and machine learning to enhance their work. According to him, this will have a lot to do with generative artificial intelligence for creatives, as well as reliance on trulyautonomous systems for finance and other back.
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A looming recession could increase this progress as much as two-fold, as businesses may be forced to cut back on labor costs.
Jonathan Taylor is the chief technology officer at Zoovu. The consumer buyer experience is going to be disrupted by innovative zero-party solutions, advanced machine learning techniques and designed to interact directly and transparently with consumers. Sometimes marketing-speak hits the nail on the head, even though it sounds like corporate jargon.
Consumers don't like the traditional business experience. Since we were young enough to pay bills, we've been on hold. The companies that use machine learning to make us happy will be the cream of the crop in the years to come.
Europe's world-leading consumer protection and data privacy legislation will force companies large and small to adopt these new approaches before the legacy approaches are regulated out of existence by government or mandated out of existence by consumers.
It is on the wall. The only way to make these zero-party solutions trulyScalable and Effective is to use advanced machine learning and transfer learning techniques.
We got in touch with Gabriel Mecklenberg. The future of artificial intelligence is diversity, according to him. Machine learning needs to be used for everyone in order for the field to progress.
Artificial intelligence is the future of motion tracking for health and fitness, but it is not easy to do well. If you are a white person with an average body and a late-model Apple phone, there are many apps that will work. It's important that care experiences work on low-end phones for people of all shapes and colors and in real environments.
According to Mecklenberg, more than one in five people suffer from some kind of pain. He said it was a global crisis with a toll.
Medical professionals have what they need to help those people, according to him. Artificial intelligence can help identify and track many unique joints and reference points on the body with just the phone camera.
If these tools work for everyone, this is irrelevant. We must make sure that the care gap is not widened by using artificial intelligence.
The editor of Neural had this to say.
These predictions have been published all these years. We decided to highlight the voices of smaller companies when we started. I made a few predictions myself in the year 2019.
We spent all of 2020 in COVID lock down. The human spirit will endure, that is the prediction I won't make for Artificial Intelligence in the year 2023.
Some people found it clever to tell creatives to learn to code when we predicted the future of artificial intelligence. Journalists and artists were about to be replaced by machines.
We still have journalists and artists. Humans are always dissatisfied. It will be obsolete tomorrow if you build an artificial intelligence that understands us today.
Finding ways to make artificial intelligence work for us is the future's focus.
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