Our ongoing expertise and research
AltheonAI fellows help navigate the complex opportunities of AI with the strategic insight of a chess rook. Below are a few of our specialties and examples of practical use cases.
Problem Optimization
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AI-driven predictive maintenance can significantly lower maintenance and repair expenses by over 25%.
External Case Study:
A large energy company used predictive maintenance on a hydrogen compressor. The system provided notifications of pending failures more than 35 days in advance, enabling the company to plan shutdowns, minimize production losses and saving as much as $30 million USD annually.
Source: AspenTech
Large Language Models
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Large language models enhance customer service and operational efficiency in various sectors.
External Case Study:
Amtrak, a U.S.-based passenger railroad service, implemented "Julie," an AI-powered customer service chatbot. Julie operates 24/7, handling queries, ticket bookings, and train status checks. Since Julie's introduction, Amtrak has witnessed a 25% surge in bookings and a 30% reduction in customer service costs. Julie manages about 20 million calls annually, a major leap in customer service efficiency and effectiveness.
Source: Amtrak
Workflow Automation
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AI allows you to automate repetitive time consuming tasks, making sure your team is spending time on true business growth ideas.
External Case Study:
A large financial firm, after implementing intelligent automation with a tailored operating model resulted in a 1% reduction in Total Cost of Operations. Additionally, these changes led to a 1% increase in customer satisfaction and a 1% improvement in collections.
Some other examples include:
Real-time Strategy Adjustment
Real-time Marketing Optimization
Predictive Analysis
Enhanced Document and Communication Management
Cloud Architecture
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Facilitating data storage migration to cloud platforms like AWS, Azure, Snowflake saves data storage costs in the longterm, while allowing for faster internal data usage.
No more data bottlenecks, start seeing your company grow.
External Case Study:
Pekin Insurance faced challenges with data accessibility from their on-premise data systems. After migrating to the cloud, they experienced a 50% reduction in owning and operating costs year-over-year. It also allowed real-time report generation, significantly accelerating decision-making processes, increasing business agility and employee productivity.
Human Intelligence
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AI provides insights and data-driven recommendations that improve decision-making, operational efficiency, and competitiveness.
External Case Study:
Delta Airlines employed business intelligence to improve travel experiences and develop more effective loyalty programs. They created systems for advanced analytics to collect data on flight schedules, delays, cancellations, and other factors affecting passengers' journeys. Additionally, they use predictive analytics to understand the needs of different traveler segments and design customized promotions
Some other examples include:
Creating interactive dashboards for business monitoring, utilizing predictive analytics to forecast trends
Advising on IT infrastructure for improved data operations
Implementing ETL processes to integrate diverse data sources for a more holistic market view
Data Enrichment
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Data enrichment elevates raw data into actionable intelligence, enhancing decision-making, customer engagement, and market competitiveness.
External Case Study:
Autodesk faced challenges with inconsistent and incomplete CRM data, hindering their ability to implement a new sales strategy. After data enrichment by integrating data from various sources to create a consistent dataset for their sales team, completeness of customer records went from 70% to 85%, significantly boosting Autodesk's sales opportunities.
Some other examples are:
Transforming data formats for system compatibility
Cleaning and refining existing data pipelines for better insights
