Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
It refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals.
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and reacts like humans. One of the most popular AI Applications is the google search engine.
It is the ability of a computer-controlled robot to perform tasks automatically.
Artificial intelligence refers to the simulation of human intelligence in machines.
The goals of artificial intelligence include learning, reasoning, and perception.
AI is being used across different industries including finance and healthcare.
The AI is implemented to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.

Uses of AI

AI Deployments

  • Healthcare.
  • Gaming.
  • Finance.
  • Data Security.
  • Social Media.
  • Travel and Transport etc.
Collect: Simplifying data collection and accessibility.
Organize: Creating a business-ready analytics foundation.
Analyze: Building scalable and trustworthy AI-driven systems.
Infuse: Integrating and optimizing systems across an entire business framework.
Modernize: Bringing your AI applications and systems to the cloud.

AI Applications

Speech recognition: It is also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, and it is a capability which uses natural language processing (NLP) to process human speech into a written format. Many mobile devices incorporate speech recognition into their systems to conduct voice search—e.g. Siri—or provide more accessibility around texting.
Customer service: Online virtual agents are replacing human agents along the customer journey. They answer frequently asked questions (FAQs) around topics, like shipping, or provide personalized advice, cross-selling products or suggesting sizes for users, changing the way we think about customer engagement across websites and social media platforms. Examples include messaging bots on e-commerce sites with virtual agents, messaging apps, such as Slack and Facebook Messenger, and tasks usually done by virtual assistants and voice assistants.
Computer vision: This AI technology enables computers and systems to derive meaningful information from digital images, videos and other visual inputs, and based on those inputs, it can take action. This ability to provide recommendations distinguishes it from image recognition tasks. Powered by convolutional neural networks, computer vision has applications within photo tagging in social media, radiology imaging in healthcare, and self-driving cars within the automotive industry.
Recommendation engines: Using past consumption behavior data, AI algorithms can help to discover data trends that can be used to develop more effective cross-selling strategies. This is used to make relevant add-on recommendations to customers during the checkout process for online retailers.
Automated stock trading: Designed to optimize stock portfolios, AI-driven high-frequency trading platforms make thousands or even millions of trades per day without human intervention.

Use cases for AI

  • Accelerate data preparation and improve data governance with artificial intelligence.
  • Streamline operational efficiency with artificial intelligence.
  • Forecast sales with artificial intelligence.