Insights & Articles

Deep dives into data continuity, compliance logic, and future tech.

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January 23, 2026 | Business Intelligence

Why ‘Gut Feeling’ Fails: Data-Driven AI in Enterprise Operations

Key Takeaways Data Hygiene is Paramount: AI’s effectiveness hinges on the quality of its training data, making data cleansing and structuring critical for reliable performance. Offline-First AI: Optimize AI models for efficiency and accuracy, crucial when operating in environments with limited or no network connectivity. Replace Intuition with Logic: Move beyond subjective ‘gut feelings’ by […]

March 2, 2025 | Business Intelligence

Automated Decision Trees: Streamlining Logic in Offline-First Applications

Automated Decision Trees: Streamlining Logic in Offline-First Applications Key Takeaways Automated decision trees bring complex business logic directly into mobile apps. Offline-first architecture eliminates reliance on external APIs for real-time decisions. Reduced latency and continuous operation even without network connectivity. Transforms chaotic data into structured, automated processes. Imagine a tree where each branch represents a […]

February 27, 2025 | Business Intelligence

Gut Feeling vs. Data: Why Data Silos Cripple Enterprise Operations

Key Takeaways: Data silos create fragmented visibility across your organisation. Relying on ‘gut feeling’ without unified data leads to suboptimal decisions. Centralised data management and accessible data layers are crucial for effective logic implementation. Breaking down silos enables better insights and improved efficiency, particularly for offline-first applications. Audit your data silos today to optimise your […]

February 13, 2025 | Business Intelligence

Optimising Local LLM Inference Latency on Edge Devices for Real-Time Field Data Analysis

Optimising Local LLM Inference Latency on Edge Devices with React Native for Real-Time Field Data Analysis Key Takeaways: Immediate Insights: Local LLMs provide real-time data analysis in areas with limited or no connectivity. Reduced Latency: Optimised inference on edge devices significantly decreases processing time. Enhanced Privacy: Processing data locally enhances security by reducing reliance on […]