What is AI and data analytics?
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Every business generates oceans of data, but you need tools to turn it into business intel – and that’s where AI and data analytics are key.
AI and data analytics use advanced tools and algorithms to process, analyze, and derive insights from data.
Bespoke AI and data analytics solutions empower companies to address their specific challenges, uncover trends, and make data-driven decisions faster.
AI and data analytics across different industries
Bespoke solutions for your industry
AI and data analytics for Logistics
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Demand forecasting
Precise prediction of shipping volumes, reducing inventory costs and optimising resource allocation. -
Route optimisation
Real-time route planning that minimises fuel consumption and improves delivery efficiency. -
Predictive maintenance of fleet vehicles
Early detection of potential issues, scheduling repairs, and reducing unexpected downtime and costs. -
Performance analytics
Comprehensive insights into fleet performance and operational bottlenecks.
AI and data analytics for Manufacturing
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Process optimisation
Identification of bottlenecks and inefficiencies, improving overall equipment effectiveness (OEE). -
Predictive maintenance of equipment
Early detection of potential issues reduces unplanned downtime and extends machinery lifespan. -
Demand forecasting
Precise prediction of forthcoming production volumes, optimising inventory and resource allocation. -
Quality control automation
Combining real-time monitoring and data-driven insights for automated production quality assurance.
AI and data analytics for Insurance
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Precise risk assessment
Enhanced underwriting accuracy thanks to Machine Learning and analysing data from diverse sources. -
Fraud detection and prevention
Advanced pattern recognition to identify suspicious claims and reduce potential losses. -
Automated claims processing
Faster claim resolution and reduced operational costs with AI-powered analysis. -
Customer behaviour analysis
Improved retention and more bespoke insurance offerings thanks to predictive analytics.
Solve these issues with AI and data analytics
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A01
Better prediction accuracy
AI and data analytics tools let you predict risks with far more precision, enabling you to better plan, and manage your resources and processes.
A02
Smart process optimisation and automation
Thanks to data analytics tools, you can spot process bottlenecks and areas for improvement, and as a result, boost your efficiency and profitability.
A03
Enhance risk
assessment efficiency
AI tools help to optimise and automate processes of risk assessment, allowing insurers to make faster and more accurate decisions.
A04
Improved processing
of large data sets
Many organisations struggle with processing the large volumes of data they collect. AI and data analytics solutions enable deriving insights from these assets and automate the process for increased efficiency.
A05
More precise pattern
and trend detection
By handling data with AI and advanced analytics tools, you can quickly spot patterns, which helps to predict future trends, spot anomalies, and optimise business strategies.
AI and data analytics: use cases
For specific industries
AI in financial fraud detection
By implementing AI algorithms, banks can analyse transaction patterns in real-time to identify suspicious activities and reduce fraudulent transactions by 35%, saving millions in potential losses annually.
Smart agriculture with data analytics and AI
A large-scale farming operator collects data on soil moisture, temperature, and crop health. AI algorithms help to optimise irrigation and fertilisation, leading to a 20% increase in crop yields and a significant reduction in water usage.
