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Artificial Intelligence & Machine Learning

The phenomenon of Machine’s capability to exhibit Intelligence is the Artificial Intelligence. Applied AI, makes Machines Learn & exhibit the intelligent behavior to accomplish the task more efficiently. Artificial Intelligence and Machine Learning are pushing boundaries in many industrial sectors which are associated with software and hardware. From just being a figment of someone’s imagination in sci-fi movies and novels, they have come a long way to augmenting human potential (reducing the risk of human errors) in performing tasks faster, more accurately, and with greater precision each time – driven by technology, automation and innovation.

Currently the Artificial Intelligence is at the top of its Hype curve and indeed creating new business opportunities. AI&ML helps analyze hidden patterns of data to derive possible insights. AI and ML can certainly enrich our future thereby making the need for intelligent and sophisticated systems more important than ever. Achieve high end capabilities that enable the building scalable and cost effective solutions. AI & ML helps to achieve high end capabilities that enable building the scalable and cost effective business solutions. Artificial Intelligence communicates with Machines, which in turn learn the patterns to accomplish specific task. Machines understand the instructions / machine capable algorithms and act accordingly. Based on the algorithm patterns, machine learns to act intelligently.

Machine Learning Methods

Machine Learning is classified into Supervised Learning and Unsupervised Leaning.

Supervised Learning

In this type of learning, the machine is constantly given inputs with intended outputs. Machine is constantly training to provide required output.

Unsupervised Learning

Machine provides the output, based on the given algorithm and the data patterns and provides required output.

Applications of AI & ML

Various Analytics, Retail, Security, Fashion, and from Manufacturing to Production are the few areas where Artificial Intelligence is applied in daily life. When we talk about the AI, the capability of machines, Robotics to self-driving Smart Cars and Drones are classic examples of AI and Machine Learning. Chatbots, Voice Bots, Natural Learning Understanding, Visual search and Image recognition and Text-to-Speech are few functions of the applied AI & ML. Natural Learning Process or the Machine Learning Capability enables the visual search, tagging and text to speech are few examples of our implemented business use cases.

Our Offerings

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Artificial Intelligence
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Predictive Analysis
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End-To-End Integration
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Machine Learning
  • Cost Effective Business Solutions
  • Deliver Outcome with Intelligence
  • Transform Business with AI Driven Infrastructure

AI, ML, Deep Learning Tools

Frequently Asked Questions

What is Artificial Intelligence?
  • The phenomenon of a Machine’s capability to exhibit Intelligence is Artificial Intelligence. Applied AI, makes Machines Learn & exhibit intelligent behaviour to accomplish the task more efficiently. Artificial Intelligence is at the top of its Hype curve and indeed creating new business opportunities.

What is Machine Learning?
  • Machine learning is a wing of artificial intelligence (AI) and computer science that emphasizes the use of data and algorithms to resemble the way that humans learn. AI & ML helps to achieve high-end capabilities that enable building scalable and cost-effective business solutions. Artificial Intelligence communicates with Machines, which in turn learn the patterns to accomplish a specific task. Machines understand the instructions/machine-capable algorithms and act accordingly. Based on the algorithm patterns, a machine learns to act intelligently.

AI vs. ML vs. Deep Learning
  • Artificial intelligence: a program that can detect, reason, take action and adapt. Machine Learning: algorithms that enhance their performance as they are exposed to more data over time. Deep Learning: a subset of machine learning in which multi-layer neuron networks learn from large amounts of data.

    Machine learning is a subset of AI, and it consists of techniques that allow computers to understand things based on data and provide AI applications. Deep learning, on the other hand, is a subset of machine learning that makes it possible for computers to solve more complex problems.

In how many methods does machine learning classified?
  • Machine Learning is classified into two parts.

    Supervised Learning: Supervised learning, also referred to as supervised machine learning, is a subset of machine learning and AI. It is defined by the use of labelled datasets to form algorithms that allow data to be classified or accurately predicted.

    Unsupervised Learning: Unsupervised learning refers to the use of artificial intelligence (AI) algorithms to determine models within datasets containing data points that are not categorized or classified. In other words, unsupervised learning makes it possible for the system to determine models in data sets on its own initiative.

What are the most effective applications for AI and ML?
  • Various Analytics, Retail, Security, Fashion, and Manufacturing to Production are the few areas where Artificial Intelligence is applied in daily life. When we talk about AI, the capability of machines, Robotics to self-driving Smart Cars and Drones are classic examples of AI and Machine Learning.

    Chatbots, Voice Bots, Natural Learning Understanding, Visual search and image recognition, and Text-to-Speech are a few functions of applied AI & ML. Natural Learning Process or the Machine Learning Potential enables the tagging, visual search, and text to speech are a few examples of our executed business use cases.

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