Top 10 AI Technology Trends That Could Dominate the World in 2018.
Artificial intelligence, machine learning and automation are ready to change not only the modern enterprise, but the world as we know it. They completely change the way consumers interact with businesses. They change the way the company thinks and operates in business intelligence.
For example, neural networks have developed business analysis to provide more precise predictive data. Not too long ago, the human team was tasked with classifying, organizing and reviewing effective intelligence and insight data. Now that tedious process can be automated.
Top 10 AI Technology Trends
Here, we present the top 10 most revolutionary artificial intelligence technologies that will dominate 2018. Check out!
Biometrics and Authentication
Passwords, passwords and templates work, of course, but they are totally ineffective in terms of security. You lose your subscription and you lose access to your accounts and services. This also occurs when you lose access to linked channels, such as email and mobile.
Biometric and biometric data are unique to your body and include things like your fingerprints, retina, voice, and even face structures. A similar technology involves identifying, measuring and verifying the authenticity of various body segments or behaviors. This can be used for, for example, unlocking a personal device or account.
Imagine walking to a work computer, where an AI system automatically analyzes your appearance, measures your facial features, unlocks the hardware, and opens the necessary software and documents.
Robotic Processes Automation
The robotic processes automation is possible thanks to the scripts and methods that imitate and automate human tasks to support corporate processes. It is now used in special situations where it is too expensive or inefficient to hire humans for a specific job or task. We must remember that artificial intelligence is not intended to replace humans, but to complement their skills and reinforce human talent.
Speech Recognition and Dictation
Assistants like Alexa, Siri and Cortana use voice recognition software to discern what you say and then take action. The same goes for tools or software that transcribe your real words into text on the screen. Sometimes the accuracy of these systems can suffer for various reasons.
Maybe your voice or accent is unrecognizable? Maybe the system is not developed enough to find less common words and expressions? Maybe it’s the hardware involved, like a poor quality mic?
AI and machine learning are currently being integrated with speech recognition to enable a better understanding of human language. This differs from NLP and chatblock due to different ways of using the recognition tool. You cannot have any of these components without others.
Deep Learning Platforms
Deep learning platforms use a special form of machine learning that involves artificial neural circuits with several layers of abstraction. This technology imitates the human brain, processes data and creates patterns to use in decision making.
It is currently mainly used to recognize patterns and classify applications that are only compatible with large-scale data sets. Deep learning platform providers and service providers include Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Adext, Peltarion, Saffron Technology and Sentient Technologies.
Hardware needs to become more user-friendly with the addition of artificial intelligence technologies. New graphic and central processing units and processing devices specifically designed and structured to execute AI-oriented tasks. Some of the service providers and providers of this type of technology include Alluviate, Cray, Google, IBM, Intel and Nvidia.
Chatbots and Virtual Agents
Natural language processing will also give way to modern chatbots and automated virtual agents. These systems are already deployed on a large scale, particularly in retail and e-commerce. Bots or systems rely on language processing, trout data, and responsive algorithms to interact with human audiences.
Decision and Project Management
The AI and machine learning tools will not only be able to predict future patterns and trends, but will also be able to decide on a viable course of action for the future. This could be used in the management of projects or decisions to influence the outcome of an event.
While success is never guaranteed, imagine having 90% certain that something will work the way you want it to. That could change the way you handle your business considerably.
Digital Twin or AI Modeling
In different industries, including architecture and engineering, has a digital or virtual twin. Most of the time people handle the data, data, and designs used to make these models. AI and machine learning tools will soon be able to create these elements with little or no external input.
Machine Learning Platforms
Machine learning is a subdiscipline of computer science and branch of artificial intelligence. His goal is to develop techniques that enable computers to learn. By providing algorithms, APIs (application programming interface), development and training tools, large data, applications and other machines, machine learning platforms gain more and more traction every day.
Text Analytics and NLP
Natural language processing (NLP) is about interactions between computers and human (natural) languages. This technology uses textual analysis to understand the structure of sentences, as well as their meaning and intent, through statistical methods and machine learning.
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Source: Techzafo Limited