Top 5 Trends in Artificial Intelligence That May Dominate 2020s
Artificial Intelligence is a hot topic for all industries in current times. In fact, 77% of people in the world already use AI in some form (And the rest of 23% will start using it soon!) Artificial Intelligence does not only impact the technology industry but any and all industries you can think of! And with top companies like Google, Facebook, Microsoft, Amazon, etc. working on all possible applications of AI in multiple fields, there is no doubt that it will make a big difference in the future! Adobe even predicts that 80% of all emerging technologies will have some AI foundations by 2021.
And this integration of Artificial Intelligence in all existing and emerging technologies is only increasing year by year. Keeping that in mind, let’s see some of the top Artificial Intelligence trends that might continue in 2020 and shape the future to be more intelligence!!!
1. Artificial Intelligence Enabled Chips
AI-Enabled Chips are the latest trend in Artificial Intelligence. Their popularity can be calculated from the fact that it will reach an estimated revenue of $91,185 Million in 2025 from $6,638 Million in 2018. While some brands have already integrated AI-Enabled Chips, they will soon be added to all the latest smartphones. And this is necessary because AI required specialized processors along with the CPU as just the CPU is not enough. The extra hardware is needed to perform the complex mathematical computations that are needed for AI models. So, these AI-Enabled Chips will make sure that tasks requiring AI such as facial recognition, natural language processing, object detection, computer vision, etc. much faster.
There are many companies like NVIDIA, Qualcomm, AMD, etc. that are creating AI-Enabled Chips that will boost the performance of AI applications. In fact, Qualcomm is launching its new AI-Enabled Snapdragon processors in 2020 that will be able to perform 15 trillion operations per second with efficiency. This will improve all the AI-based services in the phone like real-time AI translation, photography, virtual assistants, etc. And all this while utilizing considerably lower power than expected.
2. Artificial Intelligence and Internet of Things
Artificial Intelligence and the Internet of Things together is a match made in technical heaven!!! These two technologies used together can change the way technologies operate currently. The IoT devices create a lot of data that needs to be mined for actionable insights. On the other hand, Artificial Intelligence algorithms require the data before making any conclusions. So the data collected by IoT can then used by Artificial Intelligence algorithms to create useful results that are further implemented by the IoT devices.
One example of this is Smart Home Devices that are becoming more and more popular. In fact, 28% of all homes in the US could become smart homes by 2021. And businesses are also increasingly adopting smart devices as they reduce costs and are more efficient as well. Google-owned Nest is the most popular name in this market as it produces smart products like thermostats, alarm systems, doorbells, etc.
The integration of Artificial Intelligence and Internet of Things has also led to increasingly smart cities like New York. Here, there are facilities like the Automated Meter Reading (AMR) system to monitor water usage and solar-powered smart bins that can monitor trash levels and schedule the waste pick-up on time. And this integration of intelligence is only set to increase in the future with more and more innovations coming up.
3. Automated Machine Learning
More and more organizations are shifting towards Automated Machine Learning in the coming years. It is quite complicated and expensive to apply traditional machine learning models in the real world for all business problems. So a better solution is to use Automated Machine Learning which allows even ML non-experts to use Machine Learning algorithms and techniques without being an ML tech wizard!
This means that tools like Google Cloud AutoML that can be used to train custom made and high-quality ML models while having the minimum required machine learning expertise will become quite popular in the future. These tools can create as much customization as required without knowing the complex workflow of Machine Learning in detail. However, AutoML is not a total child’s play and some ML expertise is still required to set additional parameters as needed. Many companies in the US that already use AutoML are BlackLocus, Zenefits, Nationstar Mortgage, etc. with many more to follow.
4. Artificial Intelligence and Cloud Computing
Artificial Intelligence and Cloud Computing can totally revolutionalize the current market and create new methods of improvement. Currently, it is obvious that AI has huge potential and it is the technology of the future but the integration of AI also requires experienced employees and enormous infrastructure. This is where Cloud Computing can provide immense help. Even if companies don’t have massive computing power and access to large data sets, they can still avail of the benefits of Artificial Intelligence through the cloud without spending huge sums of money.
At the same time, AI can also be used to monitor and manage issues in the cloud. Some experts predict that AI can first be used to automate the basic workflow of both the private and public cloud computing systems and then eventually it can be used to independently create working scenarios that are more efficient.
Currently, the most famous cloud leaders in the market that incorporate AI into their cloud services are Amazon Web Service (AWS), Google, IBM, Alibaba, Oracle, etc. These are expected to grow even more in the future with the increasing popularity of both Artificial Intelligence and Cloud Computing.
5. Artificial Intelligence CyberSecurity
With the rising popularity of AI, it is even becoming a key player in cybersecurity. The addition of Artificial Intelligence can improve the analysis, understanding, and prevention of cybercrime. It can also enhance the cybersecurity measures of companies so that they are safe and secure. However, it is also expensive and difficult to implement in all applications. Moreover, AI is also a tool in the hands of cybercriminals who use this to improve and enhance their cyberattacks.
Despite all this, AI will be a critical cybersecurity element in the future. According to a study conducted by Capgemini Research Institute, AI is necessary for cybersecurity because hackers are already using it for cyberattacks. 75% of the surveyed executives also believe that AI allows for a faster response to security breaches.
So companies can start with Artificial Intelligence CyberSecurity by first implementing AI in their existing CyberSecurity protocols. This can be done by using predictive analytics to detect threats and malicious activity, using natural language processing for security, enhancing biometric-based login techniques, etc.