AI technology trends are all the hype of recent times. It is fascinating how AI is influencing so many sectors of different industries. 

Ever since the advent of Artificial Intelligence, the fundamentals of Industries started to change for the better. Now, every other company, irrespective of their industry-type, wants in on this one miracle of technology.

The extent of the popularity of AI is that, by 2025, it is estimated that the global AI market will be worth almost $60billion.  

The technology has become so omnipresent that only 33% of consumers are aware of using AI, and the rest are still oblivious to its presence.

To witness the exponential growth of AI in industries like Medical & Healthcare, Banking & Finance, Transportation, Retail & Commerce, Social Media, Manufacturing, and Business, we have dissected the trends into specific industries. 

So, here are some amazing AI Technology Trends bearing witness to the opportunities it brings into these sectors, and also the impact of AI in 2020.

Technologies used with AI

1. Internet of Things

AI in IoT is beneficial for both real-time and post event processing. In the former one, AI helps in identifying patterns in data sets and running predictive analytics. While in Real-time processing, it assists in giving quick responses to conditions and collecting knowledge of decisions about those events, for example, remote video camera capturing images of license plates for the parking payments. 

There is a whole world out there where integration of AI in IoT connects every device with each other to enable them to perform additional functions. 

2. Blockchain

Blockchain is another hyped technology which has created momentum in all industries. Now AI with Blockchain is simply the best of both worlds. It is so, for you get benefits such as Better transactions, high-quality data, decentralized intelligence, lower market entry barriers, greater transparency, improved artificial trust and whatnot.

The impact of AI on Blockchain is such that we only expect this partnership to deliver us more remarkable technologies and features.

3. Augmented Reality

Thanks to Artificial Intelligence’s deep neural networks, it is now possible to detect vertical and horizontal planes, estimate and analyze depth and segment images for realistic occlusion, moreover, even infer 3D positions of things in real-time. It is due to such features and functions that AI models are replacing some traditional computer vision methods holding back amazing AR experiences.

Medical and Healthcare with AI

4. Medical Imaging & Diagnostics

One of the advantages of Artificial Intelligence  in healthcare is Medical imaging; the process where images of the internal aspects of a body are revealed through a noninvasive process of imaging. This helps in diagnosing and treating disease. Smartphone penetration along with evolved image recognition is making mobile phones as an all-in-one tool for at-home diagnostics. We are also looking forward to FDA approving AI in Healthcare as a medical device.

5. Clinical Trial Enrollment

Enrolling the right set of people is prominent for the success of any clinical trial, and it is not, in any way, an easy process. However, with some assistance from AI Technology, it would become possible to access and extract information from the medical records and then compare them with the ongoing studies. This way, the studies suggested to doctors and patients would be more relevant and reliable. 

6. Improved Healthcare Biometrics

With AI’s neural networks, scientists are analyzing the atypical risk factors that were too complicated to quantify. AI in Healthcare wields the power to develop the industry in numerous ways such as by enabling retinal scans, examining and recording skin color changes, and whatnot. AI technology’s proficiency in finding patterns will make possible the unlocking of new diagnostic methods and anticipate unknown risk factors.

7. Efficient Drug Discovery

To put a full-stop on the tediously long drug discovery cycle, traditional pharma organizations are now placing their hopes and faith into new AI biotech startups. Though many startups are on a rudimentary funding stage, they are still swamped by a myriad of clients already. We can see the trend of investment in AI biotech by pharma incumbents continuing into 2020.

Retail/eCommerce and AI

8. Search Technology

 One of the biggest benefits of AI―Search technology, is a boon for any business, perhaps it is why many industry incumbents have started to invest in it. Now, that the contextual understanding of search terms is no longer in an experimental phase, its global adoption is still a long way. Nevertheless, numerous SaaS agencies are coming forth to deliver search technologies to third-party retailers, and investment in this particular tech stack makes it the AI technology trend of  2019.

9. Retail―Checkout-Free

Companies like Standard Cognition and AmazonGo are the very first players of the Check-out free AI system. Meaning, customers can shop without checking out or scanning the products. This is expected to keep tabs on theft and other problems. The adoption of this AI based system will depend on its deployment and other inventory loss costs due to technical glitches. As of mid-2019, there are 11 AmazonGo stores in operation, going cashier-less.

10. Logistics for Warehouse

Logistics is said to be an emerging and developing branch of AI. In warehouses of the future, logistics will play an eminent role, as the warehouses will be developed to accommodate not humans, but highly proficient robots who will be able to work 24X7 without the need of even basic facilities as lighting.

11. Peer-to-peer Networks 

AI Machine Learning requires enormous amounts of data to enable machines to make informed decisions. Peer-to-peer networks, like the ones deployed by cryptocurrencies, offer organizations of all sizes the advantage to run AI programs by channeling the power of networked personal computers. This network amalgamated with AI will promote transparency in search engines.

The global Artificial Intelligence in retail and e-commerce market size is predicted to increase at a CAGR of 42.8% during the forecast period 2019-2025 and acquire a revenue of $19.37 billion by the year 2025.

Government/Public sector and AI

12. Facial Recognition

Facial recognition is a dominant form of biometric authentication. Due to the extensive research in this area, this AI application’s readability and accuracy rate is improving expeditiously. One of the advantages of Artificial Intelligence’s Facial recognition feature is that it will help security agencies in identifying and removing rogue elements from society. Not just this, but businesses are rapidly integrating this AI feature into their apps and other solutions used in processes, according to their business model. 

13. Cyber Threat Hunting

Cyber threat hunting is a proactive approach combined with high-security functions, to detect stealth attackers and stop the malicious activities initiated by such hackers. One of the benefits of AI integrated with this technology is that by using machine learning, detecting such foreign elements and security breaches would become a piece of cake.

14. Surveillance via Computer Vision

Computer Vision is an area of AI research which is based on algorithms. A prominent use case of the facility can be seen in the Japenese machine learning algorithm, AI Guardman, which detects suspicious behavior of shoppers and also alerts the store owner on mobile.  Similarly, this computer vision added to the drones will help in surveillance of crowded places. AI in Government sector is expected to rise in the coming future as new ways are about to be explored.

Transportation and AI

15. Self-driving Vehicles

Self-driving technology will increase from $54 billion in 2019 to a $556 billion market by 2026, growing at a 39% CAGR, as per a report by Allied Market Research. Moreover, by the year 2025, AI in transportation is estimated to deliver $173 billion in cost savings across the entire automotive OEM supply chain.

16. Traffic Management

AI Technology trends of 2019 also consist of the traffic management with the help of applications that predicted and detected probable traffic mishaps. This was accomplished by transforming traffic sensors into “intelligent” agents using cameras. A successful use case for this is Rapid Flow Technologies.

17. Smart Tracks

Smart Tracks is an initiative started by China, named the ART- Autonomous Rail Rapid transit. This doesn’t require any track as the train follows the virtual track made by painted dashed lines. This astounding AI technology trend is predicted to spread in the coming years, globally.

18. Digital Number plates for Vehicles

AI in 2020 would interestingly enable the smart technology facelift to transport number plates. The digital number plates, created of course with AI technology, will help transport authorities on so many levels, from alerting authorities in case of accidents or use GPS for location detection. 

Manufacturing and AI

19. Predictive Maintenance & Algorithms

Using the AI algorithms, manufacturers would be able to better predict unanticipated machine failures. This will save millions of dollars for incumbents. The predictive maintenance algorithms deploy constant data collection to forecast equipment failures before they happen. Due to dropped sensor costs, edge computing, AI advancements, and Predictive Maintenance are now more widely available for use. 

20. Computer Vision for Defect Detection

We have already discussed how computer vision will help in surveillance. In a similar manner, it will prove as a holy grail for manufacturing industries to supervise their production process and point out even the minutest of discrepancies in the products without the inclusion of human factor. The camera in computer vision is extremely precise in catching defects which are half the width of a hair. 

21. Collaboration of Humans and Robots

Though it sounds very futuristic, it is not so much. There will be more than 1.7 million robots deployed in factories around the world by 2020, as per some reports. They would soon work alongside human workers and enhance the productivity level. The AI-powered robots will be designed to take over manufacturing tasks and the human workers will be trained for higher positioned jobs in design, programming, and maintenance.

22. The advent of Quality 4.0

Quality 4.0 is a product of the integration of AI in Manufacturing industry.  This involves AI algorithms to notify the manufacturing teams about detected production faults, so that an appropriate action can be taken to stop the production of faulty products and save loads of capital. Said faults can be a deviation from preset recipe, changes in machine behavior, change in raw materials and more.

Gaming and AI

23. Improved Visualization Technology

With the help of deep learning and incessantly growing data at the disposal, AI can improve visual quality in video games. The game environment and characters would become more realistic and seem natural like never before. AI has the quality to highly improve how characters move and express themselves to make the whole gaming experience all the more realistic.

24. Real-world experience with Voice Assistants

Voice Assistants being a significant branch of AI, are now added to the games such as Destiny 2, where it helps the players access certain game features without accessing the game menu every time. Not just this, but it also offers a wide range of interactive games where the player will not be passive anymore.

25. Personalized Play for Each Gamer

After acquiring the data on individual game players, AI algorithms will enable the developers to create game worlds that are more individualized and reactive to individual players in-game. With AI technology, we could access MMORPGs that guide players in the direction of quests and other players that compliment their style. A  lot is possible in this area, and we are excited to see what will comprise the AI technology trends of  2020.

Business and AI

26. Elevating Customer Experience

As the customers are demanding more facilitated and developed services, businesses are looking to up their game as they certainly do not want to lose customers. Now, AI is taken as an effective technology which is helping several businesses keep their head out of the water. 

Customer experience is being improved by using Chatbots, 24X7 support, Virtual assistance, and self-help VR systems, as natural-language processing improvises and learns more from the expanding data pool of past experience.

27. Advanced Hiring Process

AI technology solutions such as X.ai and ClearFit can assist recruiters in scheduling interviews and find the most ideal candidate for the job. Now, the recruiting process is not mechanical which is why AI is being developed by adding human factors such as empathy, personality and other human traits that will help the AI algorithm in analyzing and then selecting a candidate just like we humans do. Impact of AI on business is certainly evident and is only expected to rise by 2020.

28. Business Models Transformation

AI in Business is changing the fundamentals of business functions. The transformation in this sector amounts to the integration of AI features such as Data Analysis, performance prediction, computer vision, and whatnot. With such incredible features at disposal, it is not long that the business organizations will find new and innovative ways to develop this technology into something new and set unparalleled AI technology trends.

Finance and AI

29. Credit Risk Assessment

In the Finance sector, keeping records on customer data is sort of a second nature. Now, wouldn’t it be amazing if we could use all that data to examine a customer’s record and capacity of paying off loans and credit cards they already possess. AI in Finance is going to do just that and more. Machine Learning and AI are taking the place of a human analyst to determine the risks involved in the financing sector and also provide solutions for them. 

30. Easy Fraud Detection

Fraudulent elements are one of the major concerns of Banking and Finance Industry. To eliminate such risks, AI in Finance uses its machine learning and algorithms to recognise a pattern and if something odd happens, it can detect the discrepancy very easy. For instance, say that a credit card has been used in another country, right after it was used elsewhere, it will alarm the institution to take action. Moreover, it can be developed in a way to recognize what can be considered fraud and what not.

31. Safe Trading with Predictions

Like every other area, trading will also be facilitated with AI’s machine learning and algorithms combined with its other branches. By analyzing the market conditions from the past data in the cloud, organizations and individuals will be able to overcome unanticipated risks, be it buying or selling of stock and shares.

32. Auto Claims Processing

Many a times, Finance companies are faced with a difficult  situation where they have to pay the customer for their insurance. To combat the fraud problem and make sure the genuity of the situation, insurers and startups are using AI to compute a vehicle owner’s “risk score”, examine accident imagery, and also keep tabs on driver behavior. 

Social Media and AI

33. Improving Social Network

AI plays a pivotal role in making social media platforms what they are. AI in Social media has shaped the whole industry since Facebook adopted AI in 2013. Now, be it finding a friend via neural networks learning to tag to image recognition, or identifying incorrect news, AI does it all.

34. Empowering Marketers

Marketers are leveraging the advantages of AI in Social Media, to understand and analyze the customers’ buying persona and their preferences. This will help them personalize products suggestions based on their buying habits and what drives them to make their decisions. 

35. Effective Audience Targeting

Marketers get yet another advantage of AI, which is to expand their campaign beyond linear segmentation and target audience similar to your current client base. Moreover, effective targeting is the trump card for paid ad campaigns across all social media platforms, as the activities of people are stored online. Leveraging the AI technology to access this data will provide them with useful insights on Social media usage, online user behaviors, etc.

36. AI-Supported Content Designing

It is no news that Content is the king in Social Media marketing and optimizing it with AI is the best thing that can happen to this industry. With AI tools studying brands’ pattern of posting content and its type, it can suggest what kind of content is demanded and which content needs to be optimized.

37. AI-Powered Chips become popular

If you thought it to be future, then you have entered it. Artificial Intelligence depends heavily on specialized processors. Seeing the current demand of AI, chips are being manufactured and integrated with AI Technology to perform functions for which we need seperate devices as of now. These chips will be utilized by enabling AI tools in them such as computer vision, speech recognition, and natural language processing. 

After witnessing these incredible trends, we can pretty much surmise how enormous this AI technology is going to be and the inevitability of it immersing every sector of all industries. Even to date, businesses are using AI to develop next-gen mobile apps to enhance their customer engagement and eventually expand their business.

At this point, it is hard to imagine a future without Artificial Intelligence. As 2020 approaches, we are excited to see what awesomeness it will bring to the table.

Frequently Asked Questions (FAQs)

Q. What is the scope of artificial intelligence in the future?

AI is the hot trend of decades now, and it certainly plays a prominent role in our future. This technology will facilitate us on so many levels and in so many ways from enabling AI-Powered chips which will make travelling token free, to cashier-less shopping marts. You imagine it and AI will do it within a time span of few years. 

Q. Which industries will be affected by AI?

Because of the features AI comes loaded with, almost all of the industries are adopting this technology at their own pace and in their own ways. Industries, namely, Healthcare, Finance, Business, Manufacturing, Retail & eCommerce, Government and Public sector, social media, transportation, and Gaming are reaping the benefits of AI integrated with technologies like IoT, Blockchain, AR, and Cloud.

Q. How Artificial Intelligence Is Transforming Business?

 With the advent of AI in business, its core fundamentals changed. Now, it is possible to hire personnel effectively without human involvement, offering better customer services and enhancing customer experience has really evolved by using chatbots and other AI features. Moreover, technologies like computer vision, performance prediction, and data analysis have added to the list of benefits business is getting with the incorporation of AI technology.

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