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Processing large datasets in a reasonable amount of time does not always be supported with the conventional statistical methods. These traditional statistical solutions typically focus on fixed analytics that is limited to the available samples that are frozen in time, which often results in either transcending or deceptive conclusion.Cognitive Computing and Machine learning addresses this challenge which spotlights the development of swift efficient cognitive algorithms.

These cognitive or machine learning algorithms enable real-time processing of huge volume of data, deliver precise predictions of various types such as recommending right products, customer segmentation, detecting fraud and risks, customer retention etc. Cognitive Computing and Machine learning supports these functions by creating a set of cognitive or machine learning algorithms that differ from the traditional statistical techniques. The emphasis is on real-time and highly scalable predictive/cognitive models, using fully automated methods that make data scientist tasks easier.


The aim of cognitive computing is to mimic human thought processes in a computerized model. Using self-learning cognitive algorithms that use data mining, machine learning, pattern recognition, and natural language processing, the computer can imitate the way the human brain works.

Now, what can cognitive computing do? Let’s take an example related to healthcare.

Cognitive Computing could eventually be applied in a healthcare to help accumulate knowledge around a condition, including patient history, journal articles, best practices, diagnostic tools, etc., analyze that huge magnitude of information, and provide a recommendation. The doctor is then able to look at evidence-based treatment options based on a large number of factors including the individual patient’s presentation and history, to expectantly make better treatment decisions. In other words, the aim, at this point, is not to replace the doctor but to expand the doctor’s capabilities by processing the huge amount of data available that no human could convincingly process and retain, and provide a summary and potential application.

With Cognitive Computing and Machine Learning, we can think of an era when computers can augment human knowledge and ingenuity in entirely new ways.



PATIENT RECRUITMENT

A powerful cognitive based solution to accelerate the identification of right patients, recruitment process and engagement of qualified patients. We deploy predictive cognitive algorithms, machine learning and pattern analysis on patient data to create meaningful insights, assess risks and forecast success factors and probabilities of failure.



Clinical Research and Life Sciences Cognitive Computing

Cognitive operational support

cognitive computing and machine learning

DRONA

Drona is a new generation continuous machine learning platform that provides students with a personalized tutoring experience with optimized learning paths. It continuously curates and learns topics as and when they appear in a paper or digital form. Drona applies student context to understand and infer the most suitable tutoring methods with proper evidence. The platform is powered by Cognub Insights as a Service and IBM Watson and offered through Drona, a portfolio company of Incubation Incubator Inc.


cognitive computing and machine learning


tRAIZ

It is a secure plain text, image and video based cognitive communication platform, for managing corporate communication system, that enables dynamic role creation, rule engines that govern communication protocols and offers a powerful NLP Engine which converts unstructured chat to actionable information.

Cognitive Computing and Machine Learning


Indhaler

IndHaler is a health platform that provides trusted care and wellness advice using the Vedanga wisdom of Ayurveda along with good food habits buried in ancient books, seasoned minds and social media. It continuously curates and learns condition and care models for chronic diseases and wellness.indHaler applies patient context to understand, reason and infercondition and care with supporting evidence. The platform is powered by Cognub Insights as a Service offered through indHaler.Consumers and Care providers experience indHaler using iEngage, an immersive conversational and visual interaction App on your mobile device. One on one and One to many conversations are possible between the Consumer/Provider and indHaler. They use indHaler to get guidance on diagnosis, care plan and healthy diet plan at no cost. Expert consult from Ayurveda doctors are available for a fee.indHaler makes use of Cognitive Computing based NLP and Deep Learning algorithms to interact and learn, understand reasons and use Ayurvedic expertise to improve its efficacy while driving better clinical outcomes globally.

cognitive computing and machine learning

Our Blog



  • Cognitive-Computing

    Cognitive computing in commercial aspects

    Cognitive Computing has swiftly advanced from being just another initiative to a commercial reality. Be it in the field of real estate, automobile, media or marketing; cognitive computing will most definitely make an unerasable mark in the respected field. The cognitive machine analyses the data and then adapts and learns from its mistake. Cognitive Computing […]

  • cognitive-computing

    High return on cognitive computing

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    A Corner Stone For The Future

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    Automotive Insurance – A Cognitive Approach

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    Real Estate Specifications in Cognitive Computing

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    The Safety Side Effect of Cognitive Computing

    People in this digital age will not be surprised at driverless cars. The advancements of science have boggled our mind completely. It has even enabled cars to care for human comfort, information and entertainment preferences in unimaginable ways. The future will have cars capable of self-repair and even communicating with its adjacent cars. Imagine a […]

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    Cognitive Computing in Financial Analysis

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  • cognitive computing

    Cognitive Computing – An Abstract

    Cognitive Computing has emerged from the comprehension that there will most definitely arise instances where machines will outperform humans by a significant margin especially regarding scenarios which have high levels of complexity. Cognitive computing thrives on massive amounts of data, the more data we supply the more efficient and accurate its outputs are. They are […]

  • cognitive-computing

    A Touch Of Cognitive in Health Care

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  • Cognitive computing

    Steps for the Future

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