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

Now an AI Financial Crime Detection Tool

Temenos has developed an AI-powered financial profiling tool to assist banks in improving their customer experiences by focusing their financial crime detection efforts on the highest risk transactions. The new Temenos Peer Group Identifier capability uses advanced statistical analysis and machine learning to assess large quantities of data to form a unique financial ‘DNA’ for each customer. Banks can now focus their efforts on higher risk groups while reducing the need to seek additional level of verification from low risk customers. Read More

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Finance

An AI-Powered Virtual Financial Analyst

Prophix has developed what it calls the industry’s first virtual financial analyst. The software uses natural language and machine learning for improved corporate performance management, including deeper chart insights that eliminate time-consuming manual tasks. It also has anomaly detection features that help financial professionals conduct forensic analyses of their data to spot and mitigate any potential risks that might have escaped detection. Prophix has stated that its next-gen software is capable of leading a new era of financial planning and analysis by improving insights, reducing risk and driving efficiency. Read More

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Healthcare

AI Can Lead to More Precise Results for Cardiac MRI

A new study has stated that cardiac magnetic resonance imaging (MRI) analysis can be performed significantly faster with precision similar to experts when using AI in the form of automated machine learning. Utilising AI, a scan can be analysed with comparable precision in approximately four seconds. In the UK, where the study was conducted, it is estimated that more than 150,000 cardiac MRI scans are performed each year. Based on the number of scans per year, researchers believe that utilizing AI to read scans could potentially lead to saving 54 clinician days per year at each UK health centre. Read More

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Psychiatry

AI Helps Scientists Predict Depression Outcomes

Two studies led by UT Southwestern provide evidence for the impact of biology by using AI to identify patterns of brain activity that make people less responsive to certain antidepressants. The studies -- which each included more than 300 participants -- used imaging to examine brain activity in both a resting state and during the processing of emotions. Both studies divided the participants into a healthy control group and people with depression who either received antidepressants or placebo. The studies include the latest findings from a large national trial (EMBARC) intended to establish biology-based, objective strategies to remedy mood disorders and minimize the trial and error of prescribing treatments. Read More

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Disaster Management

AI Helps Seismologists Predict Earthquakes

AI is bringing seismologists closer to an elusive goal: forecasting quakes well before they strike. To achieve this, geophysicist Paul Johnson and his colleagues took roughly five minutes of audio recorded during each experimental run—encompassing 20 or so stick-slip cycles—and chopped it up into many tiny segments. For each segment, the researchers calculated more than 80 statistical features, including the mean signal, the variation about that mean, and information about whether the segment contained a precursor event. Johnson and his co-workers chose to employ a random forest algorithm to predict the time before the next slip. Just by knowing the variance, the algorithm could make a decent guess at when a slip would occur. Read More

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Traffic Surveillance

AI to Catch Drivers Using Phones

New South Wales in Australia will use mobile phone detection cameras to catch drivers who are texting, making phone calls or perusing social media. The technology encompasses two cameras, with one photographing the car’s registration plate while another looks into the car's windshield to see if a driver is using their phone. The system, using AI, will review the images and detect the illegal behavior while excluding drivers who are following the rules. If a driver is detected using their phone, the image will be reviewed by authorized personnel before issuing warning letters. Read More

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Security

AI-Based System Aims to Revolutionise Fleet Inspections

UVeye has developed a technology that uses cameras, sensors, and AI to assess the condition of each vehicle. Its AI-based technology can adapt to its working environment to identify any anomalies, ranging from hidden explosives to scratches as small as 2mm. A battery of cameras can scan a whole vehicle, even while it is moving. This could benefit a range of sectors, such as the vehicle leasing market, which de-fleets millions of vehicles annually, with each one needing to be inspected for damage that might require recharges or repairs before sale. 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 Fully Functioning Quantum Computer in the Works

Researchers from Purdue University and the University of Rochester demonstrate their method of relaying information by transferring the state of electrons. The research brings scientists one step closer to creating fully functional quantum computers and is the latest example of Rochester's initiative to better understand quantum behavior and develop novel quantum systems. 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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