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How Big Data boosts RegTech

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1)   Banking: Regulatory Technology Basel III: BASEL III norms are likely to be implemented in India from year 2019. This opens up a new paradigm in the field of machine learning and AI in terms of automating core tasks of not only assimilating transactions’ data in real time but also providing insights into data for […]

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The Perfect Match

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Using technology for making decisions in the stock market is not something which is new.  From the time of bucket shops to today’s highly complex trading platforms, people have tried taking advantage of the technology available to get ahead in the game. Let it be reading the screen at the floor of the exchange or […]

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Big Data Use Cases In Telecom

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Few industries have more to offer and to gain from big data than telecommunications. For decades, communications service providers (CSPs) have transported and captured huge volumes of information about customer calling patterns, wireless data usage, location, network bandwidth statistics, and even the individual apps and webpages accessed by mobile devices. Until recently, much of that […]

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Transforming Health Through Power Of AI

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Artificial intelligence (AI) is transforming healthcare with the use of algorithms and software to approximate human cognition in the analysis of complex medical data. Specifically AI is the ability for computer algorithms to approximate conclusions without direct human input. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. AI programs have been […]

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Big Data Analytics Trends in Healthcare Industry

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1.1 Overview: Big data analytics has become the crucial problem in healthcare informatics in terms of data querying, database design, data knowledge representation, clinical decision support etc. In the healthcare industry, big data is originally generated from the large electronic data sets, for the healthcare professionals, it’s challenging to manage these data sets with the conventional software & […]

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Highlights from the TensorFlow Developer Summit, 2018

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Today, we’re holding the second TensorFlow Developer Summit at the Computer History Museum in Mountain View, CA! The event brings together over 500 TensorFlow users in-person and thousands tuning into the livestream at TensorFlow events around the world. The day is filled with new product announcements along with technical talks from the TensorFlow team and guest speakers.

Machine learning is solving challenging problems that impact everyone around the world. Problems that we thought were impossible or too complex to solve are now possible with this technology. Using TensorFlow, we’ve already seen great advancements in many different fields. For example:

Astrophysicists are using TensorFlow to analyze large amounts of data from the Kepler mission to discover new planets.
Medical researchers are using ML techniques with TensorFlow to assess a person’s cardiovascular risk of a heart attack and stroke.
Air Traffic Controllers are using TensorFlow to predict flight routes through crowded airspace for safe and efficient landings.
Engineers are using TensorFlow to analyze auditory data in the rainforest to detect logging trucks and other illegal activities.
Scientists in Africa are using TensorFlow to detect diseases in Cassava plants to improving yield for farmers.

Sourced through Scoop.it from: medium.com