Trending Technology Summary
AI is going to be the defining technology of 21st Centaury, with many industries already utilizing AI in some form or the other like Siri and Self Driving Cars. We use Robotic process automation, machine learning, natural language processing, and neural networks to deliver AI applications.
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition. Learning.
With the help of Automation we can create technology and its application in order to control and monitor the production and delivery of various goods and services. Automation is evolving quickly and business intelligence in applications is a new form of high-quality automation.
At EdgesOf, We intends to provide enterprise with automation like (automate the structured and unstructured data, extracting information using AI) to innovate and evolve by increasing speed .
EdgesOf helps our clients apply big data solutions to solve real-world business problems by providing them with custom application development to fit their specific needs. We analyze your needs to recommend the best available technology and development processes for a successful implementation for your business. We first analyze each technical and available process suitable to your business need, and then we give all the analysis to you so that you can make a confirmed and informed development plan.
Whether a particular data can actually be considered as a Big Data or not, is dependent upon the volume of data. Hence, 'Volume' is one characteristic which needs to be considered while dealing with Big Data