8 posts
AI consulting in telecommunications delivers measurable value in churn prediction, network optimization, customer service automation, fraud detection and personalization.
AI consulting in automotive turns predictive maintenance, quality, supply chain, connected vehicle and dealership sales automation use cases into value with a sector-aware roadmap.
AI consulting in the energy sector turns demand and generation forecasting, grid optimization and predictive maintenance use cases into value within the EPDK/KVKK frame.
AI consulting in logistics turns route optimization, demand and stock forecasting, and supply chain visibility into value across warehouse, fleet, and last-mile use cases.
AI consulting in manufacturing turns predictive maintenance, visual quality control and production efficiency use cases into value within an Industry 4.0 context, with a sector-aware roadmap.
AI in manufacturing 2026: the four ROI areas, the PoC-to-production leap, synthetic data, the ROI calculation, and a field roadmap with KVKK/EU AI Act notes for the Turkish manufacturer.
What is predictive maintenance? Predictive maintenance is an approach that analyzes sensor data collected from machines with artificial intelligence to forecast when a piece of equipment will fail and to schedule maintenance just in time. This guide: a clear definition, how it works, failure prediction, sensor data and time-series analysis, the difference from preventive maintenance, industry examples, maintenance cost, and FAQs.
What is a digital twin? A digital twin is a virtual replica of a physical asset or process that is continuously updated with real-time sensor data. This guide: a clear definition, how a digital twin works, its link to IoT data, simulation and predictive maintenance, digital twin types, production optimization, examples, limits, and FAQs.