Focus Areas

Innovation and Inspiration

Sciantra has identified certain focus areas that we believe will catapult us into the niche market spaces with the highest needs and problem areas. While our core is in Information Technology and Data Science, our research spans into the fields of traditional sciences. In addition to the core sciences, we are also engaged in dedicated industry research to identify problem statements we intend to address.

Cognitive science

Understanding human minds can be complicated, but if monitored well, can lead to considerable benefits to the business. This requires techniques that allow companies to understand how users process information and make decisions. This is one of the key factors that many businesses have failed in, leading to closure.

The act of mastering these techniques certainly needs Cognitive Science to play a vital role. The subject of Cognitive Science has crafted out ways to effectively understand user minds with the help of pattern recognitions.

Pattern recognitions being an important aspect, enables businesses to understand customer patterns and regularities of their behavior, which then helps make firm decisions of how to approach them. Understanding this process as a layman means transforming your knowledge to a machine that will understand and reason in the same way as you do, above all, performing such functions more accurately, quickly and intelligently.

In today’s digital age, companies are required to process large volumes of human geared data. Understanding customer minds, relationship management or strategic thinking is possible only with human-like machines, which have proven to be more efficient and consistent than humans. They are also able to handle the volume of data garnered by organizations faster and with less error.

Robotics

Robotics has well emerged as a high-end technological objective that is enormously lucrative if engineered ingeniously. Staying up-to-date with today’s fast paced life; top engineers are continuously developing prototypes for various purposes which then transform to successful high-tech products. Robots are mainly stereotyped to be replacing people and their work, but the fact is that autonomy levels of a robot are still relegated to the human hand.

Objects are given real life attributes so that it can substitute human beings in dangerous environments. This is just one of the many ways in which they actually help in real life to solve complex problems, making it easier for humans. Every single day makes history with the launch of some type of robot. There are over millions of robots present today, undoubtedly replacing difficulties that humans face, and again it is with no doubt that the future looks “amazing” with such advances.

The goal in future is to enable human-robot collaboration in order to advance science and human life to unprecedented territories as envisioned by the greatest fictional minds in history. Perhaps we may all have our own personal Jarvis some day to make day to day life easier to handle.

Natural Language Processing

NLP refers to the communication of humans and machines as two intelligent people in natural language in English. The process includes the following steps,

Lexical analysis, It involves the collection of text in words and phrases and diving them into comprehensive paragraphs, words and sentences. This is used for machines to better understanding language in simple terms and in lesser time.

Syntactic analysis, This checks that syntax of words and sentences when phrases together. It ensures correct greammer and word arrangements while processing. Words or sentences that don’t make sense are analysed.

Pragmatic analysis, In this the machine ensures that what was communicated is interpreted properly. What is undertstood and compared with what was communicated to ensure proper execution takes place.

Bio science

The biosciences are a diverse and often converging group of industries and activities with a common link – they apply knowledge to develop biological solutions that sustain, restore, and improve the quality of life for humans, plants, and animals in our world. A Large aspect of life science research focuses on the bioscience with heavy leaning towards Healthcare. From life-saving therapies and procedures, to healthier foods or cutting-edge research, you have undoubtedly enjoyed a better quality of life because of bioscience.

The Bio science and health care industries historically have generated large amount of data driven by patient profiling, compliance and regulatory requirement, and scientific research. These massive quantities of data hold the promise of supporting a wide range of medical and healthcare functions, including clinical decision support, disease surveillance, and clinical analytics.

Data in Biosciences and healthcare is expected to grow exponentially in the coming years and will be beyond the capability of the traditional methods of data management and data analytics. In addition, healthcare reimbursement models are changing; meaningful use and pay for performance are emerging as critical new factors in today’s healthcare environment. It is vitally important for life sciences and healthcare organizations to acquire the available tools, infrastructures, and techniques to leverage this vast amount of data effectively, or risk losing potentially millions of dollars in revenue and profits.

Enterprise Performance Management

To keep the flagship hoisted high, it is imperative for the organizations to not only constantly monitor and measure performance - but also to quickly apply generated tactics to stay successful and gear up towards future demands. These tactics allow the ability to transform organizations to a ‘Fully aware state” and make them sensitive to internal and external indicators and also make them responsive in applying determinant rules to create a rapid dynamic and concise decision formation process.

In order to deliver these capabilities, the principles of Cognitive Science and Synthetic Intelligence such as the human ability to receive, perceive and process information by applying cognitive reasoning, determination and decision making abilities based on logical, philosophical, and scientific functions & methods have to be implemented to computers and machines.

With business dynamics requiring more user specific services, the importance and effectiveness of Enterprise Performance Management applications cannot be undermined. This is why the Enterprise Performance Management market is worth over $2.2 billion and an annual growth rate of 4.8%

Robotic Technology

Robotics has well emerged as a high-end technological objective that is enormously lucrative if engineered ingeniously. Staying up-to-date with today’s fast paced life; top engineers are continuously developing prototypes for various purposes which then transform to successful high-tech products. Robots are mainly stereotyped to be replacing people and their work, but the fact is that autonomy levels of a robot are still relegated to the human hand.

Objects are given real life attributes so that it can substitute human beings in dangerous environments. This is just one of the many ways in which they actually help in real life to solve complex problems, making it easier for humans. Every single day makes history with the launch of some type of robot. There are over millions of robots present today, undoubtedly replacing difficulties that humans face, and again it is with no doubt that the future looks “amazing” with such advances.

The goal in future is to enable human-robot collaboration in order to advance science and human life to unprecedented territories as envisioned by the greatest fictional minds in history. Perhaps we may all have our own personal Jarvis some day to make day to day life easier to handle.