Help information security teams reduce risk and improve their security posture efficiently and effectively

Create an intelligent cash management system based on cash demand forecasting; predict cash demand

Transform auditing from quarterly to real-time, driving audit quality, accuracy and reliability

View predictions of employee departure, forecast churn rates and identify relevant factors contained in employee data

This time series process looks at expected data volumes based on historical patterns. Upper and lower boundaries...

Promote products (accounts, cards) with more relevancy to boost customer acquisition

Help underwriters evaluate creditworthiness using alternate data sources; predict credit potential

Simplify the process of predicting whether the customer will default

Harness alternative data beyond traditional credit checks to support credit...

Model prepayment risk and automate document classification to predict repayments/prepayment risks

Understand the relationship between various products in a catalog and generating...

Help marketing teams at FIs achieve more awareness and achieve higher conversions

Send messages/content at the right time with the right content based on individual and collective customer...

Expand offers to customers with accuracy and speed by implementing predictive analytics

Develop better customer profiles that will target direct mailing, optimizing costs behind direct in-home mailing

Improve customer experience and reduce handling costs; map the query by the customer to appropriate...

Predict customer churn based on behavioral patterns and cadence of transactions; Identify leading indicators for churn

Train and score 2-way bond pricing models in real-time; predict errors between price...

Define objective functions & impose constraints; formulate rule definitions; run trade simulations

Predict factors (eg, volatility) for a given security universe and select securities generating alphas

Predict the likelihood of a public company being acquired over given time frames to provide a rapid yet in-depth...

Make predictions about the dynamics of the cryptocurrency market; determine the sentiment of the crypto market by....

More accurately score applicants for fraud to drive down manual reviews...

Quickly and accurately detect fraudulent alterations (eg, counterfeit, forged) in bank checks

Detect buyer and seller collusion; analyze acticities, accounts addresses, device IDs, coordinates, ...

Find new ways to improve fraud detection accuracy and detection time across multiple transaction fraud types

Leverage ML to more accurately spot suspicious and criminal behavior; balance compliance and cost by assessing the risk...

Operationalize customer data understand behavior analytics for marketing and fraud prevention use cases

Segment users on the basis of different attributes such as demographics data

Use patient medical records, laboratory results, and vital signs from patients to find early warning signals...

By using volumes of patient information, use AI models to predict likely test results a given patients

AI-based decision support helps doctors and nurses by providing a second opinion

Predict which patients are most likely to develop central...

Provide a proactive assessment of their risk and notify clinicians while the patient is still hospitalized

AI driven early diagnosis based on routine vital signs and metabolic levels from electronic medical records can highlight patients at risk

Streamline the denials management process by finding claims that have a...

Flag potentially fraudulent claims for further review, an also identify good transactions and streamlining their...

Machine learning models can be used to automate claims assessment and routing based on existing fraud patterns.

Look at a variety of data, including new data sources, and at relatively complex interactions...

Use more personalized data to make the risk assessment results in an individualized picture of risk

Insurance companies can determine which products and policy options are the best fit for a given consumer.

AI models can also provide reason codes for claims denials, which streamlines the review process by allowing the analyst to quickly resolve

AI based models can determine which combinations of variables are most likely to produce a positive result

AI based predictive maintenance uses a variety of data to determine which components should be replaced before they break

AI models can be used to update resource plans, reroute inventory where it is needed, and streamline resource...

AI based transportation optimization leverages route information, weather data, fuel cost and other such factors...

Marketers can determine which customers are likely to be interested in current offers and only those customers will receive them

AI based machine learning models can score marketing leads using a wider variety of factors and learn from those leads that ultimately became...

AI based machine learning models can easily segment customers using a much wider variety of data including browsing behavior, prior...

AI techniques can be used to create 1:1 personalization of content that matches the right content with the right customer at the right time.

Discover the touchpoint that is likely to produce the desired outcome based on successful outcomes from interactions with other customers combined with...

AI models can look at a variety of factors including past sales, store display space, local trends, online behavior, and more to determine which...

AI models can be used to determine the best price for each item using data on seasonality and price elasticity along with real-time inputs

AI models can then determine the most likely issues that the customer is facing with the minimal amount of questioning.

AI models can look for patterns in data that indicate failure modes for specific components or generate more accurate predictions of the lifespan...