Artificial Intelligence

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Artificial intelligence leverages machines and computers to mimic the problem-solving and deciding capabilities of the human mind.

Artificial intelligence applications

There are numerous, real-world applications of AI systems nowadays. Below are a number of the foremost common examples:

Speech Recognition:

It is conjointly called automatic speech recognition (ASR), computer speech recognition (CSR), or speech-to-text, and it's a capability that uses natural language process (NLP) to process human speech into a written format. Several mobile devices incorporate speech recognition into their systems to conduct voice search.

Customer Service:

Chatbots are substitution human agents on the client experience. They answer commonly asked queries (FAQs) around the topics, or give customized recommendation, cross-selling & up-selling products or suggesting sizes for users, changing the way we think about client engagement across websites and social media platforms.

Computer Vision:

This AI technology allows computers and systems to derive meaty info from digital images, videos and alternative visual resources, and based on those inputs, it will take a meaning full action. This ability to provide recommendations distinguishes it from image recognition tasks.

Recommendation Engines:

Using past consumption behaviour data, AI algorithms will facilitate to find data trends that may be used to develop more effective cross-selling methods. This is wont to create relevant add-on recommendations and suggestions to customers during the checkout process for on-line retailers.

EI has been a front runner in advancing AI-driven technologies for enterprises and has pioneered the future of machine learning systems for multiple industries. Supported through the researches, years of expertise operating with corporations of all sizes EI has developed the AI Ladder for prospering AI deployments.

  • Collect: Simplifying information assortment and accessibility.
  • Organize: creating a business-ready analytics foundation.
  • Analyze: Building scalable and reliable AI-driven systems.
  • Infuse: integrating and optimizing systems across a complete business framework.
  • Modernize: Transferring your AI applications and systems to the cloud.