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

AI Helps Financial Institutions Improve Customer Experience

BankBuddy, a cognitive platform, combines bots, workflow automation, computer vision, big data, and natural language interactions to help financial institutions with customer experience management, hyper-personalisation, and operations automation. It leverages AI and serves as the information glue across legacy systems, products, departments, and processes to bring intelligence in customer interactions. It is a platform for financial institutions with a blend of multiple AI realms like deep learning, machine vision, NLP, and recommendation systems to offer a single AI platform across customer journeys. Read More

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Finance

Now An AI-Powered Budgeting Tool

UBank has partnered with Australian fintech, Basiq, to provide a machine learning-powered budgeting tool that provides its customers with spending insights across 40 categories. Under this partnership, customers of UBank’s Free2Spend app can now see the total spend value of every transaction within a certain period across various categories - including technology and gadgets, cafes and restaurants, transport, rent, holidays and travel - as well as detailed spending by the merchant. UBank said the tool will help customers automate the drudgery of manual efforts usually tied to budgeting. Read More

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Finance

An AI-Enabled Document-To-Data Transformation Engine

Innodata has launched docAnalytics, an AI-driven web-based document analytics platform that enables companies to seamlessly analyze and manage complex documents without the drudgery and expense of traditional human review. The platform is designed for managing complex financing agreements, trade documents, transactional agreements, and fixed income documents. With docAnalytics, even the most complex documents are turned into rich data points that conform to industry or proprietary datasets. The data points are then made available within an easy-to-use application enabling complex analysis across a large document portfolio and the ability to downstream data to other systems or stakeholders, including regulators. Read More

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Healthcare

AI to Reduce Adverse Events, Avoid Re-Admissions to Hospitals

Medial EarlySign and Geisinger Health System have partnered to apply advanced AI and machine learning algorithms to Medicare claims data to predict and improve patient outcomes. They intend to develop models that predict unplanned hospital and skilled nursing facility admissions within 30 days of discharge and adverse events such as respiratory failure, postoperative pulmonary embolism or deep vein thrombosis, as well as postoperative sepsis before they occur. According to EarlySign, its suite of outcome-focused software can uncover early signs of high-risk patient trajectories in existing lab results and ordinary electronic health record data collected during routine care. Read More

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Healthcare

AI to Help Doctors Identify Cancer Cells

UT Southwestern researchers have developed a software tool that uses AI to recognize cancer cells from digital pathology images - giving clinicians a powerful way of predicting patient outcomes. The AI algorithm that Dr. Xiao and his team developed, called ConvPath, can "look" at cells and identify their types based on their appearance in the pathology images using an AI algorithm that learns from human pathologists. This algorithm effectively converts a pathology image into a "map" that displays the spatial distributions and interactions of tumor cells, stromal cells, and lymphocytes in tumor tissue. This algorithm helps pathologists obtain the most accurate cancer cell analysis - in a much faster way. Read More

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Renewable Energy

AI Platform to Help Governments Mitigate Climate Change

Kaiserwetter has launched its new cloud-based AI platform, ARISTOTELES Sky – The Energy Cloud for Nations, to help governments speed up the transition to lower carbon sources of energy and mitigate transition risks. ARISTOTELES Sky produces an optimized match between future national energy demand and the power generation supply, providing insights into where to locate new sources of energy, what types of sources are needed and how to reform the grid to accelerate the growth of a decentralized energy future. 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

Quantum Computing Experiment Cuts Traffic, Commute Times

As part of a partnership with Ford, Microsoft is looking to tackle Seattle’s growing issues with traffic. Researchers began working in 2018 to address congestion on Seattle streets, using what Ford labeled “new quantum approaches on classical computers”. In one scenario tested by Microsoft and Ford researchers, 5,000 vehicles requested routes through the Greater Seattle Area. The algorithm took just 20 seconds to come up its “balanced routing suggestions,” providing 10 different route choices to each driver. That produces a 73% improvement in congestion over what researchers labeled the more standard “selfish” routing most drivers use now. Commute times also dropped 8%. Over a full year, that would save 55,000 hours for drivers in traffic across the 5,000 vehicles in the simulation. 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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