AI is invading many industries from healthcare to eCommerce and is changing the way we perceive usual things. It’s hard to deny that artificial intelligence took the world by storm and now has an abundance of sub-technologies and apps.
Many companies, startups, and professionals understand that this area has immense potential and put effort into coming up with the unique ideas that allow them to take the leading positions. However, since the projects related to artificial intelligence are rather costly, many businesses are looking for ways to reduce the development costs.
A lot of them opt for outsourcing because that’s a go-to alternative, which gives access to a large talent pool of vetted specialists. One of the most popular solutions the businesses make is to hire Ukrainian developers with the help of offshore development center, because local professionals are known for having skills in different areas, including AI.
To get a deeper understanding of the topic, let’s take a look at the most sought-after technologies associated with artificial intelligence.
Speech recognition
Being applied by the organizations for different tasks, like, call routing, voice dialing, or speech-to-text processing, speech recognition converts human speech into a format that computer applications can process. One of the most prominent examples is Siri, which is a virtual assistant created by Apple.
Machine learning
This is one of the essential branches of AI, which is also a sub-discipline of computer science. It enables computers to learn new techniques and become more intelligent, facilitating various processes. Machine learning platforms are gradually becoming indispensable parts of any company because they’re continuously advancing, leveraging algorithms, training tools, big data, and APIs to make a more substantial impact.
Many companies, including Amazon, Google, and Microsoft, sell machine learning platforms to help other businesses improve their categorization and prediction practices.
Natural language generation
The mentioned term implies understanding the way people communicate with each other and getting the computer to replicate that behavior. This technology enables humans to interact with computers in a more convenient and natural way. NLG is the AI’s sub-discipline, which converts text into data. Most often, it’s used in customer service, facilitating the processes of creating reports and market summaries. An array of companies, like Lucidworks, Cambridge Semantics, and Digital Reasoning, have a strong interest in this area.
Robotics
Automation is a trend that is here to stay, and robotic process automation implies using scripts and a handful of other tactics to modernize human tasks. This technological application helps emphasize people’s skills and talent.
Cognitive intelligence
This is a combination of several technologies (including machine learning and deep learning, in particular), which helps to create AI services that are able to have human understanding. Cognitive intelligence systems use visual recognition, sound, reading comprehension, and NLP, alongside the two technologies mentioned above, to understand the information associated with human interaction and respond appropriately.
AI optimized hardware
The applications of the next generation are sought-after nowadays, and they become such owing to enhanced graphics and improved central processing units. AI hardware includes chips and GPUs. A notable example in this area is Google using AI in hardware to ensure an end to end control. Also, apart from being used in consumer applications, the technology is implemented in gaming and entertainment.
Decision management
As mentioned above, AI systems are highly valued in different areas, and when it comes to decision management, their impact is immeasurable. When rules and logic are inserted into AI systems, they can be used for training, setup, maintenance, and tuning. The companies implementing AI systems become more profitable, adding value to their businesses. In other words, data-driven decisions optimize the routine.
Image recognition
There are many situations when people need something specific from a picture or a video. And that’s when image recognition solutions step into the game. They can define the necessary objects, as well as diagnose diseases, and study personalities.
Virtual agents
This is a computer program that can effectively interact with people. Chatbots are among the most common examples of how this AI technology is being used nowadays. Also, smart home managers come to mind. Some of the most well-known virtual agents were developed by Apple (Siri), Google (Google Assistant), and Amazon (Alexa).
Biometrics
These are the solutions related to recognizing, measuring, and analyzing the physical features of the body’s structure, form, and human behavior. They help to facilitate the interactions between machines and people. The technology is commonly used for the purpose of market research.
Deep learning platforms
Deep learning uses artificial neural networks, meaning that information goes through them, and their structure changes to a certain level. The point to which they’re affected is based on output and input. It’s widely used in fields that are closely related to recognizing patterns and data applications. Some of the most popular companies in this area are Fluid AI, MathWorks, and Ersatz Labs.
Conclusion
AI has already made a tremendous impact on many industries, automating the processes and helping businesses get more tasks done within shorter terms. Organizations dealing with decision-making, among others, point out the effectiveness of using such technologies. So, if you aim to increase your business capacity and get that first-to-the-market advantage, consider implementing artificial intelligence into your routine processes.
