Big Data Analytics Solutions | Financial Services in India |Decimal Point Analysis
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Finance

Now An AI-Driven Financial Planner

UOB has launched “Mighty Insight”, which leverages AI to better track customers’ savings and expenses in order to improve financial planning. The new solution will leverage data analytics, machine learning and pattern recognition algorithms to determine the best course of action, accounting for the various life stages, needs and lifestyle priorities of the user. According to the bank, the Mighty Insights solution borrows from existing technology at the bank that is used by TMRW, UOB’s mobile-only bank and the first such lender in ASEAN, as well as its predictive analytics engine. Read More

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Finance

AI To Help with KYC

UBS is working with unnamed partners to build a KYC and anti-money laundering (AML) platform that uses machine learning, particularly natural-language processing (NLP), to take in data from public sources and connect it to customer information. Read More

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Finance

AI to Help Parse Huge Documents Using Natural Language and Small Data

Eigen Technologies has built a platform to apply the power of machine learning and natural language processing to massive documents of unstructured data. The company has devised a way to “teach” an AI to read a specific kind of document — say, a loan contract — by looking at a couple of examples and training on these. The whole process is relatively easy to do for a non-technical person: you figure out what you want to look for and analyse, find the examples using basic search in two or three documents and create the template, which can then be used across hundreds or thousands of the same kind of documents (in this case, a loan contract). Read More

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Finance

A Framework for The Responsible Use Of AI

The Monetary Authority of Singapore (MAS) will be working with financial industry partners on an initiative known as Veritas – a framework for financial institutions to promote the responsible adoption of AI and data analytics. The Veritas framework will enable financial institutions to evaluate their AI and data analytics-driven solutions against the principles of fairness, ethics, accountability and transparency (FEAT). Veritas aims to provide financial institutions with a verifiable way to incorporate the FEAT principles into their AI and data analytics solutions. It will comprise open source tools that can be applied to different business lines, such as retail banking and corporate finance, and in different markets. Read More

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Banking

Now AI-Driven Personal Finance Assistants

Plum, a London-based startup that develops personal savings assistant solutions for customers has launched an Android app as well with a chat system just like Facebook Messenger chatbot. The app helps you link your bank account, automatically saves money and helps you from bills. Furthermore, Plum notifies users about their balance, gives super-fast access to savings, and offers tips on how to save more. In terms of security, the Plum app can be accessed through Face Unlock, Fingerprint authorization, or PIN Unlock. Read More

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Healthcare

AI Helps Diagnose Cervical Cancer Faster

Microsoft and SRL Diagnostics have developed an AI tool that helps detect cervical cancer. The team trained an AI to spot signs of the cancer by feeding it "thousands" of annotated cervical smear images to help it spot abnormalities (including pre-cancerous examples) that warrant a closer look. Doctors would only have to look at those slides that justify real concern. A framework for using the AI is now ready for an "internal preview" at SRL. It's not in use in the field just yet, but is considerably better than other AI cancer screening methods that typically don't exist as more than experiments. Read More

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Healthcare

AI to Screen New-borns for Genetic Disorders Via Facial Scan

Chinese scholars have developed an AI-powered software that is geared to help screen newborns for genetic disorders through a facial scan. Researchers from the Shanghai Children’s Medical Centre and the Shanghai Paediatric Centre stated that their new assistive diagnosis tool, which they described as the first of its kind, was designed to detect more than 100 disorders with distinctive facial features, including Cornelia de Lange syndrome (CdLS) and Down syndrome. Powered by so-called deep learning algorithms, the new tool will be used to review past medical records for facial profile patterns and make use of that data to help diagnose new cases. Read More

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Healthcare

AI App May Help Diagnose Mental Illness Through Speech

Researchers have developed a speech-based mobile app that uses AI to categorize a patient's mental health status, an advance that may lead to a tool to assist psychiatrists in diagnosing mental illnesses. They have developed a machine learning technology that can detect day-to-day changes in speech which hints at mental health decline. The app assesses the speech samples, compares them to previous samples by the same patient and the broader population, and rates the patient's mental state. Read More

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Meteorology

AI Can Now Predict Where Lightning Will Strike

Scientists at the Ecole Polytechnique Federale De Lausanne in Switzerland have developed an AI system that can predict when lightning will strike any place within a 30-kilometre radius, up to 30 minutes in advance. The new method uses a machine-learning algorithm that has been trained to recognise conditions that lead to lightning. The researchers used data collected over a ten-year period from 12 Swiss weather stations, located in both urban and mountainous areas. Four parameters were taken into account: atmospheric pressure, air temperature, relative humidity and wind speed. The researchers correlated the parameters with recordings from lightning detection and location systems. Once trained, the system made predictions that proved correct almost 80% of the time. Read More

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Miscellaneous

AI To Save Kids, Pets Trapped in Vehicles

Researchers from University of Waterloo, Canada, have developed a new device which combines radar technology with AI to detect unattended children or animals with a 100% accuracy level. It sends out radar signals that are reflected back by people, animals and objects in the vehicle. The built-in AI then analyses the reflected signals. The device is small enough to fit in the palm of a hand at just 3nm in diameter and is designed to be attached to a vehicle's rear-view mirror or can be mounted on the ceiling. Read More

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“Quantum Computing, a revolution in technology, has shown great promise towards solving complex computing problems currently outside the capabilities of current computers. Though in its infancy, we at Decimal Point Analytics strongly believe that it is going to grow exponentially in the near future. It holds the potential not only to boost the AI revolution but also transform the way data is synthesized. The articles on Quantum computing will give an insight into the recent developments in this space.”

 
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Quantum Computing

A Tiny Low-Energy Device to Rapidly Reroute Light in Computer Chips

Researchers at the National Institute of Standards and Technology and their colleagues have developed an optical switch that routes light from one computer chip to another in just 20 billionths of a second—faster than any other similar device. The compact switch is the first to operate at voltages low enough to be integrated onto low-cost silicon chips and redirects light with very low signal loss. This feature may help realize the dream of quantum computing. Because the new optical switch requires little energy—unlike previous optical switches—it could become an integral part of a quantum computer. Read More

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Decimal Point Analytics Pvt Ltd does not make any recommendation, solicitation, or offer for any securities and is not responsible for suitability of any securities for any purpose, investment or otherwise. It is the sole responsibility of the client, as a professional organization, to exercise professional due diligence in ensuring suitability of investment and ensuring that when the client publishes a part or full report under its own brand, the legal requirements for distribution of such material are complied with in all the jurisdiction in which it is published. Decimal Point Analytics Pvt. Ltd. shall not be responsible for any loss suffered by the user. The returns indicated, including future projections, in any investment report prepared by Decimal Point Analytics Pvt Ltd are not guaranteed in any manner and may not be achieved.

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