Increase work efficiency
Turning machines to think and act like humans, Artificial Intelligence (AI) today drives several organizations and has become a crux of their products. Top notch world companies today use AI applications such as speech recognition, expert system and computer vision to make our lives easier and comfortable.
Over 37 per cent of the organizations have implemented AI in some form this year as compared to 25 per cent in 2018. The reason for this big jump is that AI capabilities have matured significantly and thus enterprises are more willing to implement the technology. The results of the Gartner Inc 2019 CIO Survey showed that the number of enterprises implementing AI grew 270 percent in the past four years and tripled in the past year. Organizations across all industries use AI in a variety of applications.
With AI-powered image recognition technology, seemingly innocuous photos of people and objects can reveal a great deal. Based on the object present in the photo, we at TensorGo recommend Ad banners for the AdTech industries. We also serve the insurance industry to identify the damage assessment percentage based on the original and evidence of accident photos to save manual verification efforts.
Reduce chances of error
23% of North American enterprises have machine learning embedded in at least one company function as of last year. Besides, 19% of enterprises in developing markets including China and 21% in Europe also have successfully integrated machine learning into functions, according to a McKinsey and Co. survey.
We at TensorGo build state-of-the-art automatic machine-learning tools where it can pre-process data and automatically feed the same to the model builder. It will in turn build multiple models and pick the best one out of them. We empower organizations to
Deep learning is an AI function that is almost close to mimicking a human brain while processing data and understanding patterns through a complex network. Deep learning, also called Deep Neural Network, uses non linear algorithms, to automate predictive analytics. So instead of assembling data to run through established equations, DL trains the computer to learn on its own by recognizing patterns using complex processes.
Deep learning is already being used by top organizations to build smart home and office devices while vision based deep neural network is used in self driving cars and by a few heavy mechanical industries to identify defects in manufacturing goods.
According to Forbes, AI will grow exponentially in the coming years. Global revenues from AI for enterprise applications is projected to grow from $1.62B in 2018 to $31.2B in 2025 attaining a 52.59% CAGR in the forecast period. Image recognition and tagging, patient data processing, localization and mapping, predictive maintenance, thwarting security threats, intelligent recruitment are a few of the many enterprise application use cases predicted to fuel the projected rapid growth of AI.
Solve complex problems
Improved customer experience
Using automation technology, RPA software robots control and develop an interface with systems and applications to streamline business processes. By using the basic RPA techniques, we tend to save money, lower the chances of error and reduce the burden on human beings. RPA is being leveraged by major financial entities and international banks apart from global tech majors.
The global Robotic Process Automation (RPA) market size was valued at USD 597.5 million in 2018 and is expected to register a CAGR of 31.1% over the forecast period. Increasing demand for Business Process Automation (BPA) through the use of AI and software robots is anticipated to be the key growth driver. Improving core business with RPA enables an organization to streamline IT and business operations.
TensorGo is a leader in designing and providing RPA solutions with the help of latest automation techniques.