Data & AI

TURBOCHARGE YOUR  DATA

The rapid evolution in data and AI innovation presents exciting opportunities for every industry.

Exciting Milestone Unveiled: Concurrency Attains Microsoft’s Advanced Specialization in AI and Machine Learning on Azure

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PUSHING THE BOUNDARIES

Data & Analytics
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Concealed deep in your data is information that leads to transformative decision-making

Artificial Intelligence
gear inside of an eye

We don’t use AI to make our work easier—we use it to make predictions for your data in ways that would otherwise be impossible.

Data Platform
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Enterprise data, diverse and complex, demands a smartly defined, designed, and governed platform for manageable workloads.

Report Icon

Data & Analytics

Concealed deep in your data is information that leads to transformative decision-making

gear inside of an eye

Artificial Intelligence

We don’t use AI to make our work easier—we use it to make predictions for your data in ways that would otherwise be impossible.

Arrows pointing up signifying growth or improvement

Data Platform

Enterprise data, diverse and complex, demands a smartly defined, designed, and governed platform for manageable workloads.

Case Studies

01
Enhancing Connectivity and Search Capabilities: Empowering a Non-Profit’s Mission with AI
02
AI Early Warning System Predicts At-Risk K-12 Students
03
AI Claims Adjudication Increases Revenue, Cashflow, Saves Man Hours
04
AI Auto-Quoting Saves Man Hours, Reduces Missed Opportunities
05
AI Demand Planning Helped Agriculture Supply Chain Company Forecast Commodity Availability, Reduce Carrying Costs, & Improve Supply Chain Efficiency
06
Weather Data Saves Grocery Retailer Many Millions in Labor Savings
01

Enhancing Connectivity and Search Capabilities: Empowering a Non-Profit’s Mission with AI

A non-profit organization collaborated with Concurrency to update a pre-existing user platform, aiming to enhance search functionality and support by implementing artificial intelligence (AI). Through various upgrades and platform enhancements, including transitioning to the LTS version of .NET and upgrading the Content Management System, the organization improved its platform’s capabilities. The integration of AI, specifically GenAI, enhanced search efficiency and effectiveness.

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02

AI Early Warning System Predicts At-Risk K-12 Students

A large school district in the Western US faced challenges related to high student dropout rates and students not graduating on time, exacerbated by limited resources and complex socioeconomic factors. To address these issues, an early warning system was developed using predictive AI to identify at-risk students from kindergarten onwards, allowing for timely intervention by guidance counselors. The system continuously learns new risk factors and provides a user-friendly dashboard for real-time monitoring.

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03

AI Claims Adjudication Increases Revenue, Cashflow, Saves Man Hours

AI claims adjudication was implemented to address the challenges faced by a large independent pathology lab in managing denied claims and improving cash flow. Two claims adjudication models were developed to prioritize denied claims based on various factors. The models were successfully integrated into the lab’s workflow and automated, leading to a 45% increase in the speed of revenue cycle management. Additionally, accounts receivables increased by 8%.

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04

AI Auto-Quoting Saves Man Hours, Reduces Missed Opportunities

An industrial seals distributor and manufacturer saved man-hours and reduced missed sales opportunities through AI auto-quoting, which automatically generates quotes based on incoming requests. The previous manual quoting process took over 3 hours per quote, leading to missed sales opportunities as customers sought faster quotes from competitors. The AI system integrated with Dynamics CRM and simplified the quote verification process for sales reps, reducing quote response time to under 2 minutes.

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05

AI Demand Planning Helped Agriculture Supply Chain Company Forecast Commodity Availability, Reduce Carrying Costs, & Improve Supply Chain Efficiency

An agriculture supply chain company seeking to reduce carrying costs and improve supply chain efficiency turned to AI demand planning for help. We implemented predictive analytics to forecast commodity availability and optimize spending on primary commodities. The AI-enabled forecasts, supported by LSTM Deep Neural Network models, helped optimize inventory management and logistics, resulting in improved storage, handling, and processing capacities.

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06

Weather Data Saves Grocery Retailer Many Millions in Labor Savings

A large grocery retailer in the U.S. implemented an AI demand planning solution to address the issue of excess labor costs. By integrating weather patterns into their demand planning system, they were able to optimize staffing and reduce labor expenses. The implementation was completed in just four weeks and resulted in significant cost savings of $4.67 million in the first year. Additionally, the incorporation of weather data led to a better understanding of customer behavior.

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