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

AI to Help Fight Financial Crimes

To fend off the evolving risks of financial crime, DBS Bank has partnered with Exiger, the global leader in tech-enabled financial crime, risk and compliance solutions, to implement AI powered due diligence solutions, to streamline and further bolster the bank's screening processes. Designed by Exiger's technologists and financial crime compliance specialists, the automated AI-powered solution, DDIQ, understands and analyses content with cognitive reasoning to accelerate and enhance risk assessments of clients, investments, transactions, third parties and counterparties. Read More

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Banking

Now an AI-powered 24/7 Virtual Assistant for Banking

The Bank of Bahrain and Kuwait (BBK) has launched the ‘Ask BBK’ Virtual Assistant, which is an AI channel designed to interact with customers round the clock. The service will provide customers with immediate support through common queries and frequently asked questions while also assisting them with basic account-based banking transactions securely such as balance inquiry, mini statement requests and funds transfers from their personal accounts within BBK. Read More

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Risk Management

AI With Cutting Edge Risk Management Solutions

Canadian firm, Daisy Intelligence, is an AI-powered platform for retail and insurance solutions. Daisy uses reinforcement learning, a branch of AI, and its patent-pending Theory of Retail™ and Theory of Risk™ to be truly unique in the marketplace and on the cutting edge of the category management and risk management revolution. Daisy’s platform, analyzes 100% of an organization’s transactions, executing billions of simulations daily to deliver optimized merchandise planning and risk management decisions for its clients. Daisy helps insurance and retail companies generate higher sales and profits, improve efficiencies, and establish a competitive edge. Read More

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Risk Management

AI to Provide Contextual Intelligence

Global commercial data & analytics firm, Dun & Bradstreet and Quantexa, the contextual decision intelligence software and solutions company, have announced a new partnership that aims to empower businesses to make better, context driven decisions using innovative data and analytics to provide a detailed picture of connected relationships. The two firms have joined forces to help identify and tackle financial crime by providing market-leading data and network analytics to help firms stay compliant in today's regulatory environment. The partnership will enable an enhanced view of business relationships using machine learning and artificial intelligence to identify potential corrupt or fraudulent activity. Read More

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Cryptocurrency

AI to Combat Cryptocurrency Related Criminal Activity

Scorechain, a crypto-tracking and risk management solutions provider, has launched a new AI tool, which can detect fraud patterns through its Anti-Money Laundering cryptocurrency transaction monitoring software. The AI feature aims to provide a more accurate risk-scoring for cryptocurrencies activity with more sophisticated blockchain services identification. The AI allows the platform to predict the type of service a group of addresses stands for. The scalable model has given more than 92% accurate predictions during the validation phase. Read More

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Healthcare

Novel AI System Can Predict Seizures Up to an Hour Before they Occur

A novel AI system has been found to detect epileptic seizures with 99.6% accuracy up to an hour before they occur. The new system, developed by Hisham Daoud and Magdy Bayoumi of the University of Louisiana at Lafayette, combines EEG (electroencephalogram) technology and predictive modeling. By bringing together extraction and classification processes into a single automated system, Daoud and Bayoumi were able to get earlier and more accurate seizure predictions. This is of great help to epileptic patients who can in many cases control seizures through medications. Read More

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Healthcare

AI Algorithm Can Predict Chances of Death from Heart Attack

AI at a US health centre can predict a person’s chances of dying from heart test results, including those that look normal to doctors. Algorithms developed by researchers at the health care provider, Geisinger in Pennsylvania, can calculate a patient’s survival rate within a year by analysing echocardiogram (ECG) results. Researchers trained the algorithm using two models. One was based on raw historical ECG data, measuring voltage over time, while the other was fed the ECG data in combination with the age and sex of the patients. When comparing the two groups of patients, those that died within a year and those that survived, the AI scored above 0.85, where 1.0 was a perfect score, while traditional methods by doctors scored between 0.65 and 0.8. Read More

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