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

AI To Now Help in Sourcing Deals

Private equity firms often employ herds of junior employees to comb through and cold-call companies to source deals. But technology-focused Pilot Growth Equity Partners has found that a system using AI can do the job just as well. They developed NavPod, a cloud-based deal sourcing and workflow tool, which has now been used to source eight of its ten completed deals over the past four years. The system retrieves information from public filings, news, website scraping and database screens, then learns from what it harvests. NavPod organises, tracks, and prioritizes thousands of companies to identify the best bootstrapped technology investment opportunities in the country, automating about 90% of the work involved in deal sourcing. NavPod operates autonomously, sending a daily email that explains what everyone in the firm is working on, as well as summarizing information about companies that could be good fits for Pilot Growth and should be contacted. It also uses Google Maps to help the team coordinate visits to target companies as they travel across the US.Read More

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Engineering

AI System Helps Drones Land More Quickly

Researchers have developed an AI-based system that can help drones land more safely and quickly, while gobbling up less power. The system, dubbed the "Neural Lander," is a learning-based controller that tracks the position and speed of the drone, and modifies its landing trajectory and rotor speed accordingly to achieve the smoothest possible landing. The new system developed by researchers at California Institute of Technology uses a deep neural network to help autonomous drones "learn" how to land more safely and quickly. Deep neural networks are capable of automatic learning, which makes them ideally suited for repetitive tasks. To make sure that the drone flies smoothly under the guidance of the deep neural networks, the team employed a technique known as spectral normalisation, which smoothens out the neural net's outputs so that it doesn't make wildly varying predictions as inputs/conditions shift.Read More

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Robotics

An AI-powered Underwater Robot

A Turkish university has developed an unmanned underwater robot that uses AI to carry out tasks in deep water on behalf of humans. The robot, called ParsyROV, can transmit high-resolution images to the controller computer and enable its operators to perform the necessary checks without diving. It has technological equipment that can work on behalf of people in dangerous conditions. With this technology, it can work in the restoration of architectural structures like dams and bridges, the maintenance of healthy waterways and the protection of historical buildings. ParsyROV uses superior AI technology besides manual control. Moreover, with the robotic arm on it, it will be able to perform operations such as underwater installation, special drilling as well as cutting.Read More

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Healthcare

AI Detects New Class of Mutations Behind Autism Spectrum Disorder

Scientists at Princeton University have used AI to detect a new class of mutations behind autism spectrum disorder. The researchers used deep learning to analyse the genomes of 1,790 families in which one child has autism spectrum disorder but other members did not. The method sorted among 120,000 mutations to find those that affect the behaviour of genes in people with autism. The algorithm teaches itself how to identify biologically relevant sections of DNA and predicts whether those snippets play a role in any of more than 2,000 protein interactions that are known to affect the regulation of genes. The system also predicts whether disrupting a single pair of DNA units would have a substantial effect on those protein interactions. The algorithm analyses every single chemical pair until it has scanned all mutations. The system can thus predict the effect of mutating each and every chemical unit in the entire genome. It reveals a prioritised list of DNA sequences that are expected to regulate genes and mutations that are likely to interfere with that regulation.Read More

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Insurance

AI Takes the Pain Out of Car Insurance

ICICI Lombard has partnered with Microsoft to develop India’s first AI-enabled car inspection feature in its mobile app, “Insure.” The app allows customers to buy or renew policies anytime, anywhere. In case of a lapsed policy, instead of a physical inspection, customers can simply take images of their vehicle and upload them with Insure. Once uploaded, the system’s deep learning model and computer vision identifies in real time all the parts of the vehicle, like roof, window or bumper and then spots all the different types of damage – be it scratch, dent, crack, and so on. Most importantly, the app replies with an estimated cost quickly using historical data. Renewing policies online has proven to be successful for the company, as it currently processes between 150 to 200 cars per day. The firm now plans to use AI in processing repair claims as well. The solution is currently in beta stage and is expected to be launched later in 2019. Read More

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Data Management

Need to Extract Content from a Document Quickly and Automatically? Just Ask AI to Do It!

Amazon launched Textract, a cloud-hosted and fully managed service that uses machine learning to parse data tables, forms, and whole pages for text and data. From files stored in an Amazon S3 bucket, it will be able to extract contents of fields and tables and the context in which this information is presented, like names and social security numbers in tax forms or totals from photographed receipts. It can accurately process millions of document pages in just a few hours. Textract supports image formats including scans, PDFs, and photos and it ingests a range of document formats, including those specific to financial services, insurance, and health care. Textract spits out results in the form of JSON text annotated with the page number, section, form labels, and data types via an API, and it optionally integrates with database and analytics services and machine learning products. Alternatively, extracted data can be fed directly into third-party cloud environments for compliance purposes in accounting, auditing, and compliance software or to build smart searches on document archives.Read More

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Food Technology

Bon Appetit! AI to Bake the Perfect Pizza

Domino's Australia is now leveraging AI as a form of quality control before its pizzas are sent on their way. The technology is built into a scanning device called the DOM Pizza Checker, which sits above the cut bench to run a final inspection on Domino's pizza pies before they're handed over to the delivery person. Currently, DOM Pizza Checker can recognize, analyse and grade pizzas based on pizza type, correct toppings and even distribution. It does this by capturing an image of the pizza and using AI to compare this data with a large dataset of correct pizzas, making a quick assessment. If the DOM Pizza Checker determines an item isn't up to scratch, the pizza will be discarded and a new one will be made. The technology will improve over time, plus new features will be introduced, including a real-time image sent to the customer of their fresh pizza on the cut bench. The technology is now in use in all of Domino stores across Australia and New Zealand.Read More

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Miscellaneous

AI Can Now Guess What A Person Looks Like, Based Solely on Voice!

A new AI created by researchers at Massachusetts Institute of Technology pulls off a staggering feat. By analysing only a short audio clip of a person’s voice, it reconstructs what they might look like in real life. The team trained a generative adversarial network to analyse short voice clips and match several biometric characteristics of the speaker, resulting in matching accuracies that are much better than chance. In practice, the Speech2Face algorithm seems to have an uncanny knack for spitting out rough likenesses of people based on nothing but their speaking voices. The AI’s results aren’t perfect, but they are pretty good — a remarkable and somewhat terrifying example of how a sophisticated AI can make incredible inferences from tiny snippets of data. However, the researchers urge caution on the project, acknowledging that the technology raises worrisome questions about privacy and discrimination.Read More

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