What Can We Expect from AI in 2020?

AI
AI
Published on

It can be easily observed that the modernization of the digital world is unstoppable and along with that, the evolution of technology has left no spot for conventional and dull modes and methods to breathe. Meanwhile, the inevitable revolution brought in by AI is expected to disrupt even more industries and lifestyles in the upcoming years. Shortly, in 2020 only, the technology, as predicted, will transform many more aspects of businesses for better prospects.

Here is the list of AI transformations that we can expect to happen in 2020.

Machine Learning is expected to come mainstream

Besides enjoying the perpetual growth in 2019, machine learning is expected to grow further in 2020. The technology will become extensively available to medium-sized businesses owing to the upsurge in NLP. Moreover, ML will also continue to be introduced as a component of almost every software product category across business management.

AI-enabled Cybersecurity

With the rise of cyber threats, human efforts are no more a match for it. Therefore, 2020 is expects Artificial Intelligence to act as a protagonist in ensuring security across businesses. It will play a vital role in managing these attacks. Using ML, AI systems can enable easiness in detecting data breaches and other malicious activities using updated security software.

More Personalization in Real-Time

According to Forbes, "the trend of increased personalization is driven by the success of internet giants like Amazon, Alibaba, and Google, and their ability to deliver personalized experiences and recommendations. AI allows providers of goods and services to quickly and accurately project a 360-degree view of customers in real-time as they interact through online portals and mobile apps, quickly learning how their predictions can fit our wants and needs with ever-increasing accuracy. Just as pizza delivery companies like Dominos will learn when we are most likely to want pizza, and make sure the "Order Now" button is in front of us at the right time, every other industry will roll out solutions aimed at offering personalized customer experiences at scale."

Enhanced Deployment of Facial Recognition

Facial recognition is already being deployed in various sectors including retail, banking, and insurance in an effort to identify customers and detect frauds. 2020 expects more of facial-recognition adventures in areas such as security and ID checking, transportation logistics, healthcare, fast food restaurants, airlines, food and beverage companies, hotels, automobiles, and the energy industry.

AI Increasingly at the "Edge"

As noted by Forbes, "Much of the AI we're used to interacting with now in our day-to-day lives takes place "in the cloud" – when we search on Google or flick through recommendations on Netflix, the complex, data-driven algorithms run on high-powered processors inside remote data centers, with the devices in our hands or on our desktops simply acting as conduits for information to pass through… Increasingly, however, as these algorithms become more efficient and capable of running on low-power devices, AI is taking place at the "edge," close to the point where data is gathered and used. This paradigm will continue to become more popular in 2020 and beyond, making AI-powered insights a reality outside of the times and places where super-fast fiber optic and mobile networks are available."

Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

                                                                                                       _____________                                             

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net