From ‘robot advisors’ to personal assistants, machine intelligence is finally coming into its own. Even though the term “artificial intelligence” or AI has been around for well over six decades, yet it is today that it is finally becoming part and parcel of our day to day lives Now AI is being used in the insurance industry, the banking sector, investment in mutual funds along with a whole range of other uses.
We provide AI related services to organizations to help develop an array of AI solutions that are able to learn as well as implement that knowledge; along with the ability to acquire new knowledge. Tools used include natural language processing (NLP), different machine learning features as well as speech recognition software development.
We are well versed in integrating AI via both semantic and cognitive technology; and synergizing the same with different business processes and modules. Same is achievable for various third party applications across a cross section of different industries.
Our ultimate aim is to connect our client’s business concern and its common working environment with highly reliable artificial intelligence. Basically it’s to decrease work load and infrastructure related expenditures of our clients; thereby allowing faster growth of their business.
We are experienced in performing detailed analysis of our customer’s requirements to deliver best applications in the industry. Being confident about the requirements of our clients beforehand, enables us to construct a precise AI solution. Well versed in design, implementation and seamless integration of all our AI technology related solutions to insert it right within the client’s business environment without any issues.
Speech recognition has been able to curtail the workload of many different organizations as well as the professionals who run the same. Our SR software can be utilized in different organizations to significantly increase their creativity.
Taking into consideration of the work load of law enforcement personnel, SR technology can be used in a number of ways to accomplish their tasks. That goes from saving them from managing the vast amounts of time consuming paperwork by automatically digitizing them; to reducing transcription costs. Consequently it aids in reducing time it takes in sharing information among departments, in reducing staff to cope up from the workload. Incomplete and inaccurate information is curbed, and support mobile and collaborative nature of law enforcement. Hence, improving the quality of reports.
Doctors are among the most overworked professionals and to top that, they have to type huge volumes of data regarding case files of their patients. Keeping in mind the fact that doctors are finicky about their data entries because otherwise the patients’ conditions will be compromised; the intelligent speech recognition technology create data records and feed them into the system. Not only the doctors, but the entire hospital faculty and other health care facilities have embraced intelligent VR based solutions for many of their data entry needs.
Machine learning is all about helping machines to ‘learn’ and allow them to implement the learning through planning, interacting (both with humans and other machines), understanding and reasoning to make them more efficient and productive in the long-run with minimal human guidance. Here, the term machine learning is often colloquially used with ‘deep learning’ and in fact, both are interchangeable terms. In fact, deep learning is more of an accelerated type of machine learning that utilizes a complex set of neural networks that aids the machine’s learning efforts. Apart from deep learning, another method that enables machines to learn rapidly is ‘evolutionary learning’ in which the biological evolutionary process of mutations, combinations and selections is hardwired into the algorithms that allow the machine to learn rapidly.
Artificial intelligence significantly helps improve both risk selection and assessment with regard to market behavioural patterns. In fact, it can easily create highly effective modules due to its unique ability to both track emerging risks as well as identify market trends so as to create assessments that may be beyond the reach of human risk analysts. This way, our AI solutions can easily help develop even newer sources of revenue generation for both, individuals and corporations alike.
Cognitive computing essentially focuses on the simulation of human thought processes by studying how the mind works so that it can use this knowledge to create a more efficient platform for human and machine interactions. It uses machine learning and natural language processing to achieve its objectives. It can both magnify as well as extend the currently nascent cognitive abilities of machines and robots hitherto unseen levels.