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

AI-based Risk Analytics Scoring Engine

Citi is working with EY and SAS to on the development of an AI-based risk analytics scoring engine to provide more context and usable data to aid decision makers in reviewing trade transactions. The 'NextGen' project has been created to help streamline the time-consuming, highly manual processes associated with reviewing high volumes of global trade transactions while ensuring regulatory compliance. This solution assists in managing and comparing a large number of data points across current and prior transactions, which will provide more context and usable data to aid the decision maker in reviewing global trade transactions, which has traditionally been a very manual process across the industry. Citi already digitises over 25MM trade-related pages annually with optical character recognition (OCR). NextGen will deploy advanced analytics and natural language processing to sift through this trove of data to better understand networks of related parties, unstructured data and customer activity over time. Read More

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Healthcare

AI to Help Predict Breast Cancer

A team from MIT’s Computer Science and Artificial Intelligence Laboratory and Massachusetts General Hospital (MGH) has created a new deep-learning model that can predict from a mammogram if a patient is likely to develop breast cancer as much as five years in the future. Trained on mammograms and known outcomes from over 60,000.00 MGH patients, the model learned the subtle patterns in breast tissue that are precursors to malignant tumors. The team’s model accurately placed 31.0% of all cancer patients in its highest-risk category, compared to only 18.0% for traditional models. Rather than manually identifying the patterns in a mammogram that drive future cancer, the MIT/MGH team trained a deep-learning model to deduce the patterns directly from the data. Using information from more than 90,000 mammograms, the model detected patterns that were too subtle for the human eye. The MIT/MGH model is equally accurate for white and black women. The system could also one day enable doctors to use mammograms to see if patients are at a greater risk for other health problems, like cardiovascular disease or other cancers. Read More

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City Management

AI to Now Make Driving Faster a Reality

A team of researchers from the JNTU’s Centre of Excellence for Disaster Management and Transport have formulated a plan that would, in theory, decongest and streamline critical roads in Hyderabad, a city in India. The plan is to use a technology-driven system that integrates computer vision, emotion detection, AI and robotic interfaces in order to accommodate many more vehicles than the roads can handle currently. This would increase the average speed on these roads from 12kmph to 40kmph. The idea is to ensure lane discipline across a stretch of road by setting up a monitoring network at pre-determined intervals. Wherever junctions and U-turns come up, they must be of a ‘flare design’ and with a transition zone to accommodate excess traffic. At these junctions, there will two cameras with sophisticated sensors and they will be equipped with AI and emotion sensors. They would generate imaginary lanes that would be able to identify vehicles that change lanes unnecessarily. Further, emotion sensors would identify vehicles that brake abruptly, accelerate or decelerate suddenly. Read More

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Psychology

AI Can Detect Depression in Child's Speech

Scientists at the University of Vermont have developed an AI system that can detect signs of anxiety and depression in speech patterns of young children. The researchers have used an adapted version of a mood induction task called the Trier-Social Stress Task, which is intended to cause feelings of stress and anxiety in the subject. A group of 71 children between the ages of three and eight were asked to improvise a three-minute story and told that they would be judged based on how interesting it was. The researcher acting as the judge remained stern throughout the speech and gave only neutral or negative feedback. After 90 seconds, and again with 30 seconds left, a buzzer would sound and the judge would tell them how much time was left. The children were also diagnosed using a structured clinical interview and parent questionnaire. The researchers used a machine learning algorithm to analyse statistical features of the audio recordings of each kid's story and relate them to the child's diagnosis. They found that the algorithm showed 80% accuracy in diagnosing children. Read More

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Healthcare

ML Reveals Metabolic Pathways Disrupted by Drugs, Offers New Targets to Combat Resistance

MIT researchers have developed a new machine-learning approach to discover an additional mechanism that helps some antibiotics kill bacteria. They have been studying the mechanisms of antibiotic action for many years and their work has shown that antibiotic treatment tends to create a great deal of cellular stress that makes huge energy demands on bacterial cells. In the new study, the researchers decided to take a machine-learning approach to investigate how this happens and what the consequences are. Prior to computer modeling, the researchers performed hundreds of experiments in E. coli. They treated the bacteria with one of three antibiotics—ampicillin, ciprofloxacin, or gentamicin, and in each experiment, they also added one of about 200 different metabolites, including an array of amino acids, carbohydrates, and nucleotides. For each combination of antibiotics and metabolites, they measured the effects on cell survival. The model yielded the novel discovery that nucleotide metabolism, especially metabolism of purines such as adenine, plays a key role in antibiotics' ability to kill bacterial cells. Read More

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Miscellaneous

An AI-Powered Anti-Pollution Face Mask and Nebulizer

Spurred by India’s persistent problem of air pollution, a team of students from Manav Rachna Institute of Research & Studies in Faridabad have developed an AI-powered anti-pollution face mask and a portable nebulizer. The product, that is as small as an earphone case, would help people with breathing ailments like asthma and other chronic respiratory diseases. The smart mask called 'Caeli' and the nebulizer are connected to a smartphone application through Bluetooth. The Caeli mask features an air filtration system and an Air Quality Index sensor that constantly monitors the quality of air outside. The Caeli app controls the schedule of the drug dispensed from the nebulizer depending on the user’s prescription and pollution levels. When required, the user can switch on the 'intelligent mode' and get the instant relief drug automatically. With the help of the Caeli app, users can also check the air quality around their neighbourhood or workplace and stay informed about their environment’s health. Another feature in the app is to enable users with navigation support to help pick the least polluted route. Read More

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Miscellaneous

AI to Aid in Determining the Exact Shoe Size

Nike, one of the biggest names in the shoe industry has launched the Nike Fit app, an app for measuring an individual’s feet by Nike standards. The app uses a combination of computer vision, data science, machine learning, AI and even recommendation algorithms to measure the feet size. The person has to simply stand against a wall and point straight down to take a photo of one’s feet with the app. It then not only gives the measured size, but also some information about that shoe size, like how many people on the planet have similar feet. Moreover, if the user already has the Nike app installed on the phone, it will automatically get the size from Nike Fit so he/she will not have to input the data when selecting a particular shoe. That said, since different shoes are made with different use cases in mind, Nike might suggest a smaller or larger size to best suit the need. Read More

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