Trending areas of Applications of Machine Learning Technology

Trending areas of Applications of Machine Learning Technology

Machine learning gives computers the ability to learn without being explicitly programmed (Arthur Samuel, 1959). The modern-day technology deploys algorithms that can train and improve on the data that is fed to them. Over the years, machine learning has made possible the concept of self-driving cars, effective web search, spam free emails, practical speech recognition software, personalized marketing and so on. Today, machine learning is increasingly being deployed in credit card purchase fraud detection, personalized advertising though pattern identification, personalized shopping/entertainment recommendations, to determine cab arrival times, pick-up locations, and finding routes on maps.

1. Data security will reinforce its positions

Cybersecurity will become more intelligence-driven which is the only solution to the fast, automated attacks. This will help companies to be one step ahead of the hacker, to predict attacks.

2. Internet of Things (IoT) will deliver new opportunities

IoT is now being used by the companies representing all spheres of human activity. The attributes like connected, smart or intelligent are now added to all technologies and solutions developed for various industries. IoT capabilities are expected to shift to automating and augmenting how people experience the connected world. It will most probably result in a more unstructured landscape of a wide variety of dynamically meshed things and services.

3. Automation continues to be game-changing

Autonomous things like drones, robots and autonomous vehicles are rapidly developed along with AI solutions. Automation is expected to shift from the stand-alone things to complex systems of intelligent autonomous things. Self-driven cars are capable of images recognition and geolocation tracking for making routes, voice recognition to follow the commands and various other technologies to provide convenience and comfort to people.

4. Augmented reality software (AR) is expected to overcome Virtual reality software (VR)

AR will become more common for mobile devices. Unlike VR, it does not require headsets. Therefore the ARs ability to be deployed on mobile phones and tablets is far more robust. It is expected that AR will change the spheres of marketing and advertising. A consistent communication channel for direct dialogue between the customer and provider will be ensured using the AR developments. AR could reinforce its position in the area of manufacturing. It is predicted that AR software will become a key to the transformation of this area.

5. Connected clouds will shift to hybrid cloud solutions

Hybrid cloud solutions is gaining popularity among companies. The majority of IT service providers think that hybrid cloud solutions help to speed up service delivery. This is a crucial milestone.

6. Personalization will result in the rise of adaptive devices

We have seen the adaptive devices like Apples Siri and Amazons Alexa, being of help to people. Even more advanced assistants will appear and take responsibility for more complex dealings. With the help of the improved speech recognition techniques, the AI assistance will get a chance to provide you with a far more personalized experience. You could be giving commands to cars to drive you around.

7. Reinforcement learning (RL) and new architectures of neural networks will revolutionize prediction

The potential capabilities of RL proved to be enormous. It can easily solve traditional neural networks problems. RL is good for solving sequential decision-making problems that are common in game playing, financial markets, and robotics. A lot of companies are actively investing in the development of RL platforms. These platforms will considerably increase the opportunities of the companies. There is a whole generation of data scientists who regard RL as a means to revolutionize prediction. Therefore the implementation of RL will find a vast amount of use cases in various industries.

8. Energy efficiency (EE) and sustainable development remain core goals for humanity

The matters of energy sources and their efficient use exponentially increase their popularity every year. Smart tools are to be widely applied in EE. Integrated platforms and smart data solutions will bring their benefits both to the energy producers and energy consumers. Sustainability continues to be a core goal for every single company.

9. Upgrading humans becomes real

AI technologies application are being more used in areas of healthcare and medicine. AI applications are capable to accelerate and improve accuracy of diagnosis. Machine learning algorithms will be used to explore the biological and chemical interactions of drugs. Telemedicine will also improve healthcare by making it easier for patients to communicate with doctors. It will provide better opportunities for treating and monitoring chronic diseases 24/7. Prosthetics are being developed extremely fast. New light and reliable materials, 3D printing technologies and smart algorithms allow building highly-functional prosthesis.

10. Smart spaces will continue growing into smart cities

Rapid development of science, industrial revolution and constant development of new technologies largely influenced on the way people live. Technology became an essential part of our daily life. Thus, there evolves the need to create spaces where technologies and physical environment will successfully coexist. Smart space is a physical or digital environment where people and AI-powered technological solution can efficiently interact. The growing popularity of smart spaces reflects in the appearance of smart cities, digital workplaces, smart homes and companies.