Top artificial intelligence trends for 2020

Artificial Intelligence is one of the sought-after technologies of the decade. I doubt the excitement is going to wear off any soon. This field of science has only seen progressive developments in the last few years and has become a part of our everyday lives. It’s hard to think of an appliance or application without artificial intelligence infused into it.

What is the course that AI will take over the next twelve months? I had a quick chat with Dr. Gunter Fischer, our CEO at Brainalyzed about what he predicts will happen with AI in 2020. He predicts that 2020 will see the rise of federated learning.

The rise of federated learning

Federated learning is also known as collaborative learning. It’s a type of machine learning technique where ML models are distributed over different devices for computation, instead of being computed on large, centralized machines. The result is a faster deployment and testing of smarter models, lower latency, and less power consumption, all the while ensuring privacy.

Federated learning

Source: Google

The rise in the use of smartphones will enable the growth of federated learning. This, in turn, will provide highly personalized models that will not compromise user privacy. Right from model development, training, through to evaluation, there will be no direct access to or labeling of raw user data. Apart from this, there are other trends we expect to see in 2020.

Real-time personalization

Large tech giants like Google, Netflix, Amazon, have already tweaked their web experiences in real-time to match their user behavior. The web is inching towards delivering experiences closer to what the user wants, using any kind of information about the user’s behavior – something as simple as the movement of the mouse or a button they have clicked.

are you still watching netflix

Personalization can result in more engaging experiences that lead to high-value users. Not all businesses might require a website that is highly personalized for their users. Though this trend is in its nascent form for SMBs at the moment, this will soon become a growing trend for large enterprises.

Moving forward, more of the SMBs will have to adopt AI to create the kind of dynamic real-time user experience if they want to stay ahead of their competitors and improve personalization on a large scale. In the next five years, websites that are reluctant to adopt AI will find it extremely difficult to stay competitive, lose website traffic, and a lot of advertising money.

The increasing availability of accurate data

There is no dearth for the quantity of information that is available to us today. However, it is usually siloed, unstructured, or simply not good enough to be used. With data residing at the heart of artificial intelligence, the availability of quality data becomes crucial. However, as technology and means of simulating real-world processes have improved, accurate and high-quality data has become easily available. For example, car manufacturers working on the development of autonomous vehicles can gather numerous hours of driving data without leaving their lab. This has brought down the cost and simultaneously increasing the quality of data. This year will see an increase in this trend resulting in better AI solutions.

More AI-powered devices

With hardware and the cost of expertise required to deploy AI becomes less expensive and easily available, there will be an increase in the use of AI in various gadgets and devices. In fact, over 7 billion devices will carry AI-powered voice assistants. According to the Pew Research Center, data gathered from users in cloud-based neural networks will power 40% of mobile interactions between virtual personal assistants and people. 46% of U.S. adults use digital voice assistants to interact with smartphones and other devices.

Furthermore, with decreasing costs and increasing accessibility of AI, this technology will be embedded into vehicles, home appliances, and tools for the workplace. Devices augmented by technology such as virtual displays and the Internet of Things will begin to think and learn for themselves.

Stronger AI presence in cybersecurity

Digitalization invokes cyber threats. Hacking, phishing, and social engineering attacks have only become more sophisticated and are often powered by AI. With advanced prediction algorithms, AI technology will play a crucial role in cybersecurity. It can quickly spot malicious activity or fraudulent transactions by picking up patterns in digital activity.

With the roll-out of fast wireless communication technology such as 5G, cyberattacks become more prominent. This will result in more time, money, and resources invested in building secure AI technology or using AI to tackle cyber threats.

Better human and AI cooperation

So far AI has seemed like a threat to the jobs of humans. Hence, people have been skeptical to fully adopt AI into their business process or work. However, with the increasing benefits of AI, more of us will begin to get accustomed to the idea of working alongside AI-powered tools. As the year progresses, more AI tools will be built that will enable us to make the best use of our skills. In turn, for many of us, this will mean learning new skills that enable us to work alongside AI-based software tools. Organizations will also begin investing in employee retraining to fill the skill gaps caused due to implementing AI technology.

Facial recognition will become more common

Facial recognition is the process of identifying and/or verifying the identity of a person using their face. With facial recognition, you can capture, analyze, and compare patterns using a person’s facial details. Today it is considered one of the most common means of measuring biometrics. But its uses are not limited to just biometrics. For example, retail Warby Parker uses face recognition to measure your face to help you figure out which frames will fit you best.

Source: Warby Parker

Face recognition as a technology will be predominantly used by law enforcement in 2020 to detect and prevent crime. This will be followed by the health industry to track a patient's use of medication more accurately, support pain management procedures, and detect genetic diseases by up to 97% success rate. Marketing and retail will also pick up on this trend.

Closing thoughts

I know that some of the stuff I mentioned here is probably not talked about enough. But this is the future. These are trends that will shape 2020 and some of them have already begun to influence the way we run our business operations and our lives. Now that you know the future, you can begin acting on it or at least begin thinking along these lines.

So, what are your thoughts on the trends I’ve listed here? Do you see any AI trends that you expect to see in 2020? Drop us a comment!