Building Advanced Data Science Algorithms with Artificial Intelligence

Artificial Intelligence, presently is the most powerful approach to match human intelligence. Machine learning methods have been applied in artificial intelligence to a wide array of data analysis problems in many fields including technology, healthcare, retail etc. The main aim of Artificial Intelligence is to implant intelligence to machines. This includes Language Processing (text and Speech processing) to help understand human text and speech.

Artificial intelligence and Data Science are interlinked. Artificial Intelligence aims to mimic human intelligence or in the other words, to implant intelligence to robots/machines so that it can replace humans in every aspect. Data Mining, Data Engineering, Data Science all use statistical learning algorithms (Machine learning) to extract intelligence from the data. All these intelligence tools and the information is used to enhance and improve the robots/machines and to train it.

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Machine learning is mainly aimed to automate approaches for prediction problems. But it is a single step which is taken over by deep learning that is the more advanced way to train algorithms & models which later can train themselves according to the situation.

For example,

Facebook’s facial recognition system: It gathers a lot of data over time, about existing users and applies the same facial recognition techniques for new users.

Google’s self-driving cars: It gathers data from its real-time surroundings and process that information to make intelligent decisions on the road.

Cortana, Siri and Google Now: They all are a digital intelligent personal assistant on various platforms like Windows, iOS and Android. They all are used to find useful information. They all are integrated part of AI and Data Science algorithms as they use AI to collect information from the user request and use that information to better recognize speech and match user needs.

Purchase prediction: Retailers like Amazon are using Artificial Intelligence and Data Science to take shopping to a next level. Many retailers are using this idea with coupons, when a customer enters a store, the predictive analytics algorithm often sends a number of coupons.

Canopus Data Insights builds advanced Machine learning and Deep learning algorithms with Artificial Intelligence for Facial recognition, Image recognition, Object recognition, Speech recognition, etc. Canopus provides Data Science and Data Analytics services that enable customer centricity by giving insight into data, which improves productivity and increases the depth of customer engagement and predictive modeling to make big decisions.

Canopus Data Insights has an extensive knowledge and experience working with many domains including Data Analytics, Machine Learning, Pattern Recognition, Statistics, Artificial Intelligence, Operations Research and Big Data. Our implementation experience includes working in different sectors like Financial Services, Banking, Insurance, Logistics, Manufacturing, Retail, Marketing.

Canopus Infosystems is an Iso 9001:2008 Certified Company that specializes in providing outsourced web & mobile development and testing services to clients worldwide.