Artificial Intelligence

We harness the power of Artificial Intelligence & Machine Learning solutions to help businesses with process automation, smart decision making, identifying market trends, enhanced analytics and future  proof business processes to stay relevant to the evolving market and meet customer needs. 

According to the leading market research firm allied market research the global artificial intelligence  market was valued at $65.48 billion in 2020 and is projected to reach $1581.70 billion by 2030 growing at a CAGR of 38% from 2021 to 2030. 

Leveraging our AI & ML consulting and solutions, the possibilities become endless, where you can  draw new insights and tap into new business revenue streams by making the best use of your data. 

What is AI & ML?

Artificial intelligence generally refers to processes and algorithms that are able to simulate human  intelligence, including mimicking cognitive functions such as perception, learning and problem solving.  Machine learning and deep learning (DL) are subsets of AI. 

Specific practical applications of AI include modern web search engines, personal assistant programs that understand spoken language, self-driving vehicles, and recommendation engines, such as those used by YouTube and Netflix. 

Machine learning is a subset of AI that falls within the “limited memory” category in which the AI  (machine) is able to learn and develop over time. There are a variety of different machine learning  algorithms, with the three primary types being supervised learning, unsupervised learning, and reinforcement learning. 

Some applications of machine learning include image recognition, media recommendation systems,  predictive analytics, automated stock trading, and advanced recommendation engines. 

Deep learning (DL) is a subset of machine learning that attempts to emulate human neural networks,  eliminating the need for pre-processed data. Deep learning algorithms are able to ingest, process and analyze vast quantities of unstructured data to learn without any human intervention. 

Some practical applications of deep learning currently include developing computer vision, facial recognition, and natural language processing. 

AI vs. machine learning vs. deep learning 

So deep learning is a subset of machine learning, which in turn is a subset of artificial intelligence. A  common way of illustrating how they’re related is as a set of concentric circles, with AI on the outside, and DL at the center.

In today’s world where ginormous amounts of data are generated and stored globally AI, ML & DL  systems give organizations a way to derive value out of this trove of data delivering business insights  and advancing system capabilities.

Our AI & ML consulting and development services

AI Consulting & Development

Our AI Consulting & Development services help accelerate your business by developing advanced solutions that integrate AI into your existing ecosystem thus optimizing business processes. 

Predictive Analytics

Our team of experts help design an AI powered solution based on machine learning that can  recognize patterns based on historical data and predict future results using probablistic algorithms.

Natural Language Processing

We help develop custom AI applications that use Natural Language Processing for text recognition, speech recognition, and identification for your business solutions.

Process Automation

Our data scientists and engineers help build automated solutions that help increase  productivity, revolutionize business processes and reduce human labour.

Smart Chatbot Development

Our chatbot experts help integrate chatbot with live chat software to smoothly automate  communications. 

AI powered Blockchain solutions

Blockchain solutions can benefit from AI’s ability to anlayze vast amounts of data bringing a  new level of intelligence to blockchain based networks.