Top 10 Artificial intelligence (AI) solutions in 2022
Added: (Sat Dec 03 2022)
Pressbox (Press Release) -
Artificial Intelligence (AI) and its subfields are at the forefront of many drivers of rapid growth in the technology ecosystem. Described by Gartner as the application of “advanced, logic-based analytical techniques” to simulate human intelligence, AI is an integrative system with multiple use cases for individuals and organizations across all industries.
There are many ways to use AI to support, automate and improve human tasks, as evidenced by the range of solutions available today. These offerings promise to simplify complex tasks quickly and accurately and encourage new uses that were previously impractical or possible. Some wonder if the technology will be used forever or perhaps become more efficient than humans in certain commercial use cases, but its popularity cannot be doubted.
What is artificial intelligence (AI) software?
AI software can be defined in many ways. First, a little description would consider it software capable of simulating intelligent human behavior. However, a broader perspective sees it as a computer application that learns data patterns and provides insights to intelligently solve specific customer problems.
The AI software market includes not only technologies with underlying AI processes, but also platforms that allow developers to build AI systems from scratch. This can range from chatbots to deep and machine learning software and other platforms with cognitive computing capabilities.
To get an idea of the scope, the AI includes the following:
Machine Learning (ML): Allows a computer to collect data and learn from it to generate insights.
Deep Learning (DL): A step further into ML, used to identify and learn patterns and trends in large amounts of data.
Neural Networks: Networked units that learn and recognize patterns similar to the human brain.
Natural Language Processing (NLP): NLP supports the ability of AI to read, understand, and process human language.
Computer Vision: Teaching computers to collect and interpret meaningful data from images and video
These skills will be used to create AI software for various use cases, leading to knowledge management, virtual assistance, and autonomous vehicles. As businesses process massive amounts of data to meet customer needs, the need for faster and more accurate software solutions increases.
As expected, the growing adoption of AI at the enterprise level has led to rapid growth in the global AI software market. Gartner maintains an estimated growth of $62.5 billion in 2022, an increase of 21.3% from its 2021 value. By 2025, IDC predicts this market will reach $549.9 billion.