9 AI Trends You Should Keep an Eye on in 2019

Artificial intelligence has become a hot topic in tech circles. It has not only changed our lives, but it has also disrupted every industry you can think of. Despite all this, people have different perceptions about it. Some might consider it a bad thing because they are told that it will take your job away from you in the future. On the other hand, AI advocates continue to think of AI as an enabler, which will reduce your burden and make your life easier by automating things.

Whether you like AI or not, if you are interested in what AI has in store for the future, then you are in the right place. In this article, we will look at some of the biggest AI trends that will dominate in 2019.

AI-Enabled Chips Will Go Mainstream

Unlike other technologies and software tools, AI depends heavily on specialized processors. To meet the complex demands of AI, chip manufacturers will create specialized chips capable of running AI-enabled applications. Even tech giants such as Google, Facebook, and Amazon will spend more money on these specialized chips. These chips would be used for specialized purposes involving AI, such as natural language processing, computer vision, and speech recognition.

AI and IoT Meet At The Edge

2019 will be the year when we will see the convergence of different technologies with AI. IoT will join hands with AI on the edge computing layer. Industrial IoT will harness the power of AI for root cause analysis, performing predictive maintenance of machinery, and detect issues automatically.

We will see the rise of Distributed AI in 2019. Intelligence would be decentralized and will be located closer to the assets and devices that are carrying out routine checks. Highly sophisticated machine learning models that are powered by neural networks will be optimized to run on edge.

Say “Hello” to AutoML

One of the biggest trends that will dominate the AI industry in 2019 will be automated machine learning (AutoML). With automated learning capabilities, developers will be able to tinker with machine learning models and create new machine learning models that are ready to handle future AI challenges.

AutoML will find the middle ground between cognitive APIs and custom machine learning platforms. The biggest advantage of automated machine learning will be that it offers developers the customization options they demand without forcing them to go through the complicated workflow. When you combine data with portability, AutoML can give you the flexibility you won’t find with other AI technologies.

Welcome to AIOps

When AI is applied to how we develop applications, it will transform the way we manage the infrastructure. DevOps will be replaced by AIOps and it will enable your IT staff to conduct precise root cause analyses. Additionally, it will make it easy for you to find useful insights and patterns from huge data sets in no time. Large-scale enterprises and cloud vendors will benefit from the convergence of DevOps with AI.

Neural Network Integration

One of the biggest challenges that AI developers will face when developing neural network models will be to select the best framework. With dozens of AI tools available in the market, choosing the best AI tool might not be as easy as it used to be. The lack of integration and compatibility among different neural network toolkits is hampering AI adoption. Tech giants such as Microsoft and Facebook are already working on developing an Open Neural Network Exchange (ONNX). This will let developers reuse neural network models across multiple frameworks.

Specialized AI Systems Becomes a Reality

The demand for specialized systems will grow exponentially in 2019. Organizations have limited data at their disposal, but what they want is specialized data. This will force businesses to acquire tools that can help them generate high-quality AI data internally. The focus will shift from quantity of data to quality of data in 2019. This will lay the foundation for AI that could work in real-world situations. Companies will look towards specialized AI solution providers who have access to key data sources and could help them make sense of their unstructured data.

AI Skills Will Decide Your Fate

Even though AI has transformed every industry you can think of, there is still a shortage of talent who have AI skills in abundance. Pat Calhoun, CEO of Espressive said, “Most organizations want to embrace AI as part of their digital transformation but do not have the developers, AI experts, and linguists to develop their own or to even train the engines of pre-built solutions to deliver on the promise.”

Rahul Kashyap, CEO of Awake Security added, “With so many ‘AI-powered’ solutions available to address a myriad of business concerns, it’s time enterprises get smarter about what’s happening within the ‘black box’ of their AI solutions.” He continues, “The way in which Artificial Intelligence algorithms are trained, structured, or informed can lead to significant differences in output. The right equation for one company won’t be the right equation for another.”

AI Will Get into Wrong Hands

Just like a coin that has two sides, AI has a positive and a negative side. IT security professionals will use AI to detect malicious activities quickly. You will be able to reduce false positives by 90% with the help of AI-driven responses and machine learning algorithms. AI will land into the wrong hands, and cybercriminals with malicious designs will abuse it to fulfill their motives. With automation, armies of cyber attackers can launch lethal attacks with greater success. This will force enterprises to fight fire with fire and invest in AI-powered security solutions capable of protecting them from AI-driven attacks.

AI-Powered Digital Transformation

In 2019, AI is everywhere. From web applications to health care systems, airline to hotel booking systems and beyond, we will see shades of AI everywhere, and it will be at the forefront of digital transformation.

Dr. Tung Bui, Chairman of IT department and professor at University of Hawaii said, “Unlike most of the predictions and discussions about how autonomous vehicles and robots will eventually affect the job market — this is true but will take time due to institutional, political, and social reasons — I contend that the biggest trend in AI will be an acceleration in the digital transformation, making existing business systems smarter.”

Which AI trend do you think will make the biggest impact in 2019? Feel free to share it with us in the comments section.

This UrIoTNews article is syndicated fromDzone