Table of Contents
The global AI market continues to grow – according to experts, by 2025 its value will reach almost $ 60 billion. In medicine, retail, transport, finance, games and other industries in 2019-2020, the following methods of using artificial intelligence are expected to prevail.
AI Technologies
AI technology has brought advancement in every major sector. The artificial intelligence development company disrupt the market including:
1. Internet of things
The Internet of things can use artificial intelligence for both real-time and post-fact processing. In this case, in the first case, the AI is able to quickly respond to changing conditions and make decisions – for example, this is how a video camera works that fixes car numbers to pay for parking.
2. Blockchain
The AI block chain provides benefits such as improved transactions, high-quality data, decentralized intelligence, a lower threshold for entering the market, increased transparency and the like. However, while the appearance of truly breakthrough products in this area is only expected. Check Blockchain Development Company
3. Augmented Reality
AI can detect vertical and horizontal planes, evaluate depth and segment images for greater realism. It is because of this that he will replace some of the traditional technologies that hinder the development of augmented reality.
Medicine and healthcare
1. Medical imaging and diagnostics
One of the ways to use artificial intelligence in healthcare is medical imaging, which allows you to study the condition of internal organs without traumatic procedures. Improving smartphones along with improving image recognition methods will make gadgets a versatile tool for home diagnostics.
2. Clinical trials
AI can extract information from clinical records of participants in clinical trials, and then compare them with the progress of the study. As a result, the final conclusions will become more relevant and reliable.
3. Advanced biometrics
Using artificial intelligence, scientists analyze biometric data and draw conclusions about changes in the retina, skin, and so on. Further, it will help to calculate atypical risk factors that were too difficult to quantify.
4. New drug development
Hoping to completely abandon the long process of launching new drugs, traditional pharmaceutical organizations began to pay attention to biotechnological AI startups. Many of them attracted only initial investments but already found many clients
Retail / eCommerce
1. Search technology
Although the contextual understanding of search queries has already passed the experimental stage, its global use is still far away. However, numerous SaaS developers are already starting to deliver search technology to retailers.
2. Cashless payments
Standard Cognition and AmazonGo were the first to introduce control systems for AI-based stores that allow you to shop without scanning products. This is expected to help combat theft and other issues. As of mid-2019, 11 AmazonGo outlets were operating without cash transactions. Check cryptocurrency Development Company
3. Warehouse logistics
Logistics is considered a promising industry for the application of AI. Warehouses of the future will not be developed for people, but for robots that can work 24/7 without even using basic amenities like lighting.
4. Peer-to-peer networks
Machine learning requires a huge amount of data so that artificial intelligence can make informed decisions. Peer-to-peer networks provide companies with the advantage of launching AI by redirecting the power of personal computers.
Government / Public Sector
1. Face recognition
Face recognition has become the dominant form of biometric authentication, and thanks to extensive research in this area, its speed and accuracy are rapidly improving. One of the main advantages of this technology for security agencies is the ability to find criminals.
2. Search for cyber threats
The search for cyber threats in combination with the modernization of defensive systems makes it possible to more effectively detect hacker attacks. One of the benefits of AI in this area is that machine learning will make detecting security breaches a little tricky.
3. Computer Vision Surveillance
An example of observation through computer vision is the Japanese AI Guardsman algorithm, which detects suspicious customer behavior and sends a notification to the store owner. Similarly, you can monitor public places using drones.
