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Top AI Trends in 2020


The exponential rise of Artificial Intelligence in recent years is due its vast business potential. Read on to know the latest AI trends in 2020…

The exponential rise of Artificial Intelligence (AI) in recent years is due its vast business potential. According to 2019 MIT SMR-BCG Artificial Intelligence Global Executive Study and Research Report, 9 out 10 organizations have made some investment in AI, but 70 percent said they have seen minimal or no impact from AI thus far.

In 2020, it looks to be an active year ahead on the AI front, with a number of relevant trends unfolding that IT leaders should follow:

Cybersecurity Powered by AI Technology
Cyber threats have become a major problem to many individuals and business owners. In reality, human efforts are no match in today’s cybercrime. Manual QA can be time consuming, making it more counterproductive in both ends. In 2020, the Artificial Intelligence technology will play a vital role in managing these attacks. With the help of Machine Learning (ML) system, it can be easier to detect data breaches and other malicious activities using updated security software.

Deep Learning & Small Data
One of the main obstacles for new commercial AI and ML projects is the amount of prepared high-quality data to train models on. Now, It is got to be big, and the bigger the better. The real issue is when unless an organization is not as big as Google, Facebook, or Amazon, you are often out of luck in that regard. That’s why the problem of acquiring, generating, or working around the quantities of data points required for machine and deep learning is expected to be at the forefront of the 2020 corporate AI development. The ultimate goal is to create viable models that require less data for training. In a business setting, this is a question of driving up productivity and speed, with Machine Learning becoming more affordable and feasible in more use cases.

Integration of Blockchain, IoT, and Artificial Intelligence
Integration of AI to other technologies is one of the main concerns in the past. Today, experts have found a way to fuse Artificial Intelligence with other systems more effectively. One of these advancements is the activation and regulation of certain devices, which enables you to gather real-time data. In 2020, you can run more AI features in vehicles. The same thing goes for Blockchains that can generate certain routine using AI to address security, scalability, and other alarming concerns.

Accuracy in Facial Recognition Features
Facial recognition is one of the key features in biometric authentication. However, there are still reports about its inaccuracy. Thanks to massive investment and in-depth research in this field, experts are now making more improvements when it comes to its accuracy and readability with the help of Artificial Intelligence technology.

Voice-Assisted Search
According to Gartner, 30% of web browsing and searches will be done without a screen by 2020. Auditory technologies like Amazon Echo, Siri, and others can recognize spoken language and syntax, derive meaning, and not only deliver, but personalize, results. By 2020, 7 billion devices will have voice-powered assistants. And they’re getting better. According to Gartner, the voice-first revolution will gain prominence in no time.

Advanced Predictive Analytics
Predictive analytics leverages data mining, data modeling, and statistical models to make predictions about future outcomes. Historical/behavioral data sets rules in place which algorithms can then use to determine likely user responses before they actually happen. Coupled with AI, predictive analytics identifies trends and launches campaigns likely to inspire action. Proactive marketing depends on predictive analytics and predictive analytics has arguably the most utility and potential among any AI-related technologies today.


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