Recently I approached my Wellness center, where I have have been doing my annual health checkup, for my historical ECG data of last 10 years. To my disappointment no ECG data was stored. The data could have helped me to understand the aging and heart related anomalies. A ML model could be created for the healthy heart and detect any deviation from the normal. This is true for not just heart, we could created a ML model for any bunch of vital parameters and detect anomalies which could accelerate medical diagnosis. Data is pure gold.

Data based science and its culminations in AI and the more extensive field of machine learning can possibly drive significant changes in medication. Notwithstanding, drug isn't a science like some other: It is profoundly and firmly bound with an enormous and wide system of lawful, moral, administrative, efficient, and cultural conditions. As an outcome, the logical and mechanical advances in taking care of data and its further preparing and cross-connecting for choice help and prescient frameworks must be joined by parallel changes in the worldwide condition, with various partners, including resident and society. What can be seen at the primary look as a hindrance and an instrument hindering the movement of information science must, be that as it may, be thought about a significant resource. Just worldwide selection can change the capability of huge information and computerized reasoning into an viable leaps forward in dealing with health issues and medicines . This requires science and society, researchers and residents, to advance together.

Kindly suggest some paper or book for detailed reading

Decision making in the information to choices world analyzes the important instruments, steps and techniques for getting understanding from information and following up on it. These devices are valuable making educated individuals and procedures, yet the continuation and finish to choices and activities requests a hearty arrangement of execution observing and the executives rehearses. Those are the table stakes. By and large, utilization of choice robotization, semantic innovation and collective instruments are likewise required. Information to choices is tied in with moving from understanding to activity and moving to actuality based choices making at all degrees of the association.

Education industry is a division that is similarly as significant as social insurance and account, and there are loads of regions inside this area that could be improved utilizing innovation. The market for education-tech is developing rapidly, and is assessed to reach $93.76 billion internationally by 2020. As of now, apparatuses like computer generated experience and customized learning with man-made consciousness are improving learning results for understudies at all levels. By looking to different ventures that right now use blockchain innovation, we can begin to make forecasts about how these systems could be utilized in an instructive setting. While the quantity of potential uses in instruction is huge, there are a not many that are the most energizing. Another blockchain stage that is rising in this space is chatbot application to assist understudies with test arrangement. It answers questions and prescribes assets while monitoring understudy progress in the blockchain.

Blockchain technology is one of the most efficient innovation in the field of technology with the potential to change everything. The technology known to every one due to success of cryptocurrency , mainly Bitcoin story. The technology may be difficult in it's technical understanding , but to easy in basics. Transaction happened and reported in Blockchain without the physical audit, so still users of technology seems it as Alien approval.

The data and usage of data analytics decide the leaders in industry. The current analytics environment had transform industries at an ever-quicker pace,The success strategies not only depend on the organizational culture but on ability to utilize the analytics.

can read a good article from Mckinsey & Company in the regards for further detail

As many big data organizations increase gigantic interests in big data to catch business bits of knowledge by scrambling to utilize information researchers, information designers and information investigators. Big data crowdsourcing can enhance associations speculation plans.

Thank you Santosh

According to the father of Artificial Intelligence (AI), John McCarthy, AI is “The science and engineering of making intelligent machines, especially intelligent computer programs”. An AI framework is made out of an agent and its environment. The agents act in their environment. The environment may contain different agents. Machine Learning is a sub-set of artificial intelligence.

The role of AI has been evolved from the Computer science to Business integration, some examples are Algorithm based trading in stock market . Al based recruitment system.

This article explains the rationale of why ML and AI are so important nowadays, as well as tackle a few relevant issues related to AI development.

great post

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