Big Data Analytics Solutions | Financial Services in India |Decimal Point Analysis
Image 12 August 2019
Image
 
Image

Insurance

AI to Help Detect Insurance Frauds

Private sector insurer, ICICI Lombard is using AI and machine learning to not only improve claims processing and settlement but also to detect frauds in segments such as motor and health insurance. Auto parts are priced differently across the country, but in cases where garage charges are very high, the algorithm can throw it up. It shows anything which is 5.0% too high or too low as an outlier. Further, the company is now using AI to approve corporate medical insurance as well as motor claims. According to Nayak, while earlier AI was being used to sanction straight forward cases like maternity and cataract, it is now also being used for more complex cases like dengue, where AI is giving initial approval. Read More

Image
Image

Healthcare

AI Could Detect Potential Heart Issues

A brief, non-invasive test using AI has been found to identify patients with abnormal heart rhythm even when their rhythm seems normal. The study, which involved almost 181,000 patients, is the first to use deep learning to find signals in heart scans that might be invisible to the human eye. Researchers from the Mayo Clinic trained an AI model to detect the signature of atrial fibrillation in 10-second electrocardiograms (ECGs), with 83.0% accuracy. The researchers trained a neural network to recognise subtle differences in nearly 650,000 ECGs from the 181,000 patients. Read More

Image
Image

Healthcare

AI Helps Identify New Breast Cancer Types

Using AI, researchers have distinguished five types of breast cancer, which were earlier lumped into one. The researchers applied AI and machine learning to gene sequences and molecular data from breast tumours, to reveal crucial differences among these cancer types. The researchers applied the AI-trained computer software to a vast array of data available on the genetics, molecular and cellular make-up of primary 'luminal A' breast tumours, along with data on patient survival. Once trained, the AI was able to identify five different types of disease with particular patterns of response to treatment. Read More

Image
Image

Weather

AI Now Predicts Blackouts Caused by Storms

AI can help predict blackouts that originate from thunderstorms. This is especially useful for electricity companies who want to be able to predict damage to their infrastructure. Researchers at Aalto University has conceived a machine learning approach to predict how severe storms may be. To achieve this, they first fed the system data from power-outages. That data was provided by three Finnish energy companies, Järvi-Suomen Energia, Loiste Sähkoverkko, and Imatra Seudun Sähkönsiirto. The results proved fruitful with the system being able to easily identify between class 0 and 3 storms. Read More

Image
Image

Miscellaneous

AI Knitting System Designs and Creates Garments

Researchers at MIT's Computer Science & Artificial Intelligence Laboratory have developed a computer-aided knitting system which can automate the design and manufacture of knitted garments. Even non-expert knitters can use the system to create individual designs from customizable templates on a computer. The designs are then sent to a knitting machine, which fabricates the designs out of real wool. The advantage of templates is that common shapes such as hats or gloves are easy to recreate, and users can apply texture and patterns to the objects as well. Read More

Image
Image

Miscellaneous

AI Used to Find Unsafe Foods Using Consumer Product Reviews

Researchers from the Boston University School of Medicine developed an AI program that can detect unsafe food contaminated with chemicals, toxins, pathogens, and those which are mislabeled of allergens. Called BERT, the AI program identified thousands of recalled products with an accuracy rate of 74.0%. To land to their findings, the researchers linked Amazon.com food product reviews to Food and Drug Administration’s food recalls between 2012 and 2014, using PostGres relational database text machine approaches. They taught an existing deep-learning AI called the Bidirectional Encoder Representation from Transformations (BERT), to project food product recalls from Amazon reviews. Read More

Image
Image

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.

India :

5A, B-Wing, Trade Star Building, J. B. Nagar, Andheri-Kurla Road, Andheri (East), Mumbai - 400 059, Maharashtra, India
+91 22 30015200
info@decimalpointanalytics.com

United Kingdom:

1st Floor, 99, Bishopsgate, London, EC2M 3XD, United Kingdom

+ 44 20 3286 1998
info@decimalpointanalytics.com

USA:

17 State Street, Suite 4000, New York, NY 10004 U.S.A

+1 (917) 341 3218
info@decimalpointanalytics.com

www.decimalpointanalytics.com

×

Decimal Point Analytics (DPA) will process the information in this form to share information as requested. By checking the above box you confirm your acceptance to receive the communication. You can unsubscribe any time by clicking the ‘Unsubscribe’ link in the footer of any email you receive from us, or by contacting us at

We use cookies to measure website performance, provide social media features and personalize content.
Close this dialog to confirm you are happy with that, or find out more in the privacy statement.