AI Trends in 2019
In 2018, humanity saw a massive breakthrough in AI and Machine learning that changed not only the internet industry and software but also other verticals such as manufacturing, automobile, healthcare, legal, and agriculture. In 2019, everyone anticipates seeing what more this technology will bring to the table.
As of now, people await AI to reinvent everything the human race has come to know. From businesses to daily life, AI is sure to transform everything both for the worst and the better. If you have been paying close attention to 2018’s AI reports, chances are you already know what to expect this 2019. For those who missed out on this opportunity, here is a list of five AI advancements that are going to change your life.
A Rise in Autonomous Cars
Compared to a human, a machine can drive continuously without losing concentration. Such transportation is more organized and could reduce the need for human effort vastly. It is with this reasoning that PwC suspects a 40% increment of autonomous cars in Europe’s mileage by 2030.
Most companies continue to develop the technology used in the making of these machines. The good news is that they are not experiencing challenges as there stand advanced tests of the technology. So far, a company like Volvo recently launched its driverless track (Vera) to operate on short-haul transportation logistics centers and ports.
Uber has already started test driving its autonomous cars in real town, while Kroger tests its unmanned delivery cabs for daily shopping. If Kroger, Uber, and Google continue with this, you can expect more companies to fall in line behind them to form one of the greatest AI trends in 2019.
An Upsurge of Automated Machine Learning
AutoML is a unique feature which links flexibility with portability. Today, machine learning has become more revolutionized through Auto Machine Learning (Auto ML) algorithms. Using AutoML, programmers and developers can crack complicated problems without having to design specific models. They no longer have to focus on the entire process and workflow because now they can simply concentrate on the problem alone.
AutoML helps them save lots of time and efforts, and it seamlessly aligns the custom ML platforms and cognitive APIs. With that in mind, you can anticipate seeing a rise in the AutoML trend within the programmers and developers community in 2019 and beyond.
Open Source AI
Open source AI is the next big phase in the evolution of AI. Currently, many cloud-based technologies found their creations in open source projects. You can expect AI to follow suit as more companies are looking to expand knowledge sharing and collaboration. Many companies will start open sourcing their AI stack with the intention of creating a wide-spread support network of AI systems. As you can imagine, 2019 will be the year with the greatest authoritative AI open source stack than any other year before.
The Rise of AI-Enabled Chips
In 2019, top chip manufacturers like AMD, ARM, Intel, and NVIDIA, Qualcomm are willing to enhance the execution speed of AI-based Apps. As you probably know, AI software depends on specific processors which supplement the CPU. So far, the biggest challenge AI experts have faced is increasing the speed used to train the AI model. Often they find themselves bringing in extra hardware to achieve complex mathematical computations to spur tasks such as facial recognition and object detection.
With the use of these chips, that will no longer be an issue. These chips will come into play in specific usage scenarios like speech recognition, computer vision, and natural language processing. They will undoubtedly be in use in the next generation applications in the sectors of healthcare and automobile industries in passing info to end-users.
Computer Vision will Remodel The Future of Surveillance
Even though there are many computer vision applications, one that is most significant to citizens and consumers is automated video surveillance. AI Guardman, a Japanese machine-learning algorithm, cannot only nose out suspicious behavior among buyers but will also foretell the chances of individual shoplifting.
The AI in the camera poses in real-time, indicating body movements that could suggest a robbery. The greatest thing about it is that the shop owner gets the alerts on his mobile phone, helping him/her to reduce shoplifting and to boost business continuity. Another area this type of computer vision comes in handy is in drones. It has helped law enforcement bodies to check large crowds for potentially violent individuals. In 2019, make sure not to look too suspicious because you never know who could be watching you.
It appears that machine learning and AI are here to stay for a long time. Everything is bound to change soon. In that case, make sure to keep updated so that you are not left behind by the world.
Victoria Liset is strategic business & technology consultant to SMEs. She helps businesses improve their performance by using data more efficiently, and helping them to understand the implications of new technologies such as AI, Machine Learning, Big data, blockchain and IoT.