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

AI To Help in The Approval Process of Corporate Loans

US banking giant Citigroup has begun tapping AI to analyse companies’ financial statements in the approval process for corporate loans. Citigroup developed the technology and chose Hong Kong for its first tests. The technology enables computers to scan and read hard copies of clients’ financial statements and automatically calculate indicators such as current ratio and leverage ratio. Further, bankers will use the results to decide whether and how much to lend to a company. Citi has tested the technology on less than 10% of all cases and achieved a 94% accuracy rate with the calculations. Read More

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Risk Management

An AI that Steps in when FICO Fails

Boston-based software startup, Lendbuzz uses AI to underwrite auto loans. The company was founded in 2015, based on the idea that there might be a better way to assess credit risk than a FICO score. Lendbuzz create a comprehensive profile of each borrower. The algorithms then rate the profile based on the data, essentially giving the person an independent credit score. When the algorithms recommend turning down a loan applicant, the machine learning system provides a rationale, which Lendbuzz then shares with the applicant. Lendbuzz has originated thousands of loans since late 2016. Read More

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Healthcare

AI to Turn Foetus’ Sonogram into Future Baby Face

Alethio Inc, an AI-based image conversion startup, is helping parents get 'face time' with their baby. Alethio utilizes a cluster of AI algorithms that convert a three-dimensional ultrasound image of an unborn baby into a projected image of the baby in the future. The firm uses a relatively new type of machine learning technology called Generative Adversarial Networks, or GAN. GAN algorithms can read and extract necessary characteristics from prenatal ultrasound images and create an estimation of the baby's face. The service, dubbed Baby Face, can be applied using a three-dimensional ultrasound image of a baby older than seven months. Read More

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Healthcare

AI To Help in Early Gastric Cancer Diagnosis

Scientists at Okayama University in Japan have developed an AI-based endoscopic diagnosis system for the early identification of gastric cancer. The team developed a prototype of an AI endoscope using GoogleNet to match purpose via the image identification capability of Convolutional Neural Network published by Google on the MATLAB numerical analysis software. The researchers then used a 152-layer convolutional neural network, called ResNet, for intramucosal endoscopic resection in patients who were treated for early gastric cancer at Okayama University Hospital. A correct diagnosis rate of 72.8% in image units and 76.5% in case units was demonstrated. Read More

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Healthcare

AI to Help Determine Which Patients Need to Undergo Surgery

An estimated 800,000 patients in the US are incidentally diagnosed with pancreatic cysts each year, and doctors have no good way of telling which cysts harbor a deadly form of cancer and which are benign. This ambiguity results in thousands of unnecessary surgeries. Surgeons and computer scientists at Johns Hopkins University have built a machine learning enabled test called CompCyst (for comprehensive cyst analysis) that is significantly better than today’s standard-of-care —a.k.a. doctor observations and medical imaging — at predicting whether patients should be sent home, monitored, or undergo surgery. Read More

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Data Science

AI that Can Crunch Data 1,000 Times Faster Than Normal Ones

Intel has just unveiled Pohoiki Beach, a system that contains 64 of its Loihi AI processors. These are so-called neuromorphic chips that seek to imitate the learning ability and energy efficiency of human brains. Pohoiki Beach can perform certain data-crunching tasks up to 1,000 times faster than more general-purpose processors such as CPUs and GPUs, while using much less power. That’s an exciting prospect for AI researchers, a group of whom are already experimenting with the new hardware platform. Although the technology is still in its infancy, it’s proving popular with researchers training various kinds of AI applications. Read More

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Automobile

Automakers to Test a Mood Sensing AI That Will Help Drivers Reduce Stress

Jaguar Land Rover (JLR) has been developing a “mood-detection system” that uses AI-powered tech to track facial expressions and implement subtle changes to help restore some tranquility to the driving experience. A driver facing camera and biometric sensors function in tandem with software that interprets facial expressions to communicate a driver’s current mood to the car’s central system, which can then make potentially mood-boosting adjustments. JLR has also stuffed the tech into the headrests and aimed it at rear passengers, hoping to help tired travelers catch on some sleep, by automatically tinting windows, dimming lights and raising rear-seat temperatures. Read More

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Miscellaneous

New AI Identifies People by Their Minuscule Eye Movements

A new deep learning algorithm can identify people based only on the unique ways that they move their eyeballs. The algorithm, built by University of Potsdam researchers, monitors the tiny involuntary twitches that our eyes make all the time and requires one-hundredth the input data of existing tech that could make it viable to use eye motion as a personal identifier. The next step is to develop an algorithm that can also deal with noisier data and lower sample rates under realistic conditions. Read More

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