Artificial Intelligence is defined as the cognitive intelligence exhibited by the machines. The intelligence-driven technology inadvertently perceives the environment and defines the course of action that can help leverage the business requirements. Some of the areas where we are expanding our reach include autonomously operated system, simulation of the existing system, accurate strategy development, and neural technologies. We run & deploy models that help attain technical expertise. Our scaled & profit-oriented approach helps achieve functional & business targets which get reflected in the numbers & balance sheets. The attenuation of advanced analytics and data lake accounts for seamless deployment of the intelligent solution.
As per Gartner, “By 2023, 40% of I&O teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity”
According to McKinsey, AI adoption has leveraged the profit value by 40%, making the annual figure reach the whooping amount of $15.4 trillion.
Deloitte predicts that by 2020, penetration rates of enterprise software with integrated AI and cloud-based AI platforms will reach an estimated 87% and 83%, respectively
Machine Learning is a technique that scientifically studies algorithms and statistical data by training the models and reaching out to the output that is in sync with the business needs. The feature of training the model rules out the need for explicit programming, as because computational statistics requires mathematical modeling to arrive at the sustained outcome. In this highly competitive era, the move towards an intelligent solution has become the need of the hour
Our expert and the knowledge-laden team consist of professionals that have gained experience in all facets of ML. The experience of producing accurate predictive & prescriptive analysis gives us an edge over the competitors.
Elimination of manual data processing
Improved & enhanced cyber security
Better customer engagement & experience
Accurate Financial analysis & financial modeling
Gartner, Inc. predicts that, by 2019, deep learning will be a critical driver for best-in-class performance for demand, fraud and failure predictions.
As per Deloitte, the business use-cases of Machine Learning will get doubled by 2020.
International Data Corporation (IDC) says that spending on Machine Learning will reach $57.6 Billion by 2021.