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

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...

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

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...

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

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

Businesses and enterprises have lots of unstructured data - especially documents and image scans...

Hospital capacity simulation solution aims to predict census, hospital capacity, and patient stay.

H2O.ai’s Gene Mutation AI offers a portable personalized medicine interface that can offer an individual’s genetic risk on demand...

Chest X-Rays (CXRs) are widely used for diagnosing abnormalities in the heart and lung area. Automatically detecting these...

Clinical decision support for heart disease has been created to assist in early diagnosis of heart diseases which can also help...

An estimated one in 10 patients acquires an infection while hospitalized. This solution can monitor hospital...

AI can be leveraged to speed patient identification and recruitment, reduce site burden, and empower patient engagement...

Readmission can be significantly reduced by taking steps while the patient is still hospitalized, defining different actions...

The U.S. Justice Department estimates that 3% of healthcare claims in the United States are fraudulent.

Claims may be overpaid due to fraud, waste, or abuse by providers, pharmacies, members, or payers'...

Customer churn is a challenge faced by all organizations. The customer churn prediction solution, a robust solution ...

With patients responsible for an increasing amount of their healthcare costs, self-pay accounts are now...

This application demonstrates the use of AI in extracting information from Social Media platforms, improving...

Inaccurate pricing is costly for insurance companies and pricing of plans is an ongoing battle. This solution improves...

AI ticket management systems with machine learning capabilities can do wonders when it comes to...

Unsupervised machine learning techniques have been used to explore massive amounts of data encoded...

Treating addiction is tremendously expensive. This AI solution aims to identify potential...

Inaccurate pricing is costly for insurance companies and pricing of plans is an ongoing battle. This solution improves...

Cytopathology AI facilitates the analysis of liquid biopsies by offering clinical decision support to the clinician...

Companies are leveraging AI, and machine learning to create infectious disease forecasting. For flu predictions...

Using state-wide health information exchange data, ML models can actually predict a patient's likelihood...

The solution would provide transparency into COVID-19 vaccination trends around the world, created these interactive...

The COVID-19 vaccine adverse effects predictor solution, helps determine adverse effects...

Personalized medicine at scale is on the horizon, and AI is playing a key role in getting there.

The elucidation of a compound's Mechanism of Action (MoA) is a challenging task in the drug...

Leveraging an AI solution for processing text reviews of drugs employing ML algorithms to provide...

The order manager solution enables real time monitoring and assessment of impact of world events on...

The inventory manager solution leverages AI to define the status of inventory

Out-of-stock issues have been around for decades. Managing inventory using ML based stock out...

Maintenance is a key area that can drive major cost savings and production value around the world

By building a real-time and predictive supplier assessment and monitoring model using AI, organizations get...

This solution provides a deep understanding of different promotion channels at regional/national level.

The field force is our major asset that connects the company with the market and the prescribers.

By leveraging the Provider Scoring solution, pharma companies can quantitatively measure physicians'....

The objective of the HR resume matching tool is leveraging AI to reduce or eliminate time-consuming tasks in the recruitment process.

The objective of the solution is to identify which physician has the potential to write a prescription for your product...

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...