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The “Data Discovery” Methodology: How to Avoid AI Project Failure During Implementation

Publications /

A guide to minimizing risks when deploying machine learning systems within a corporate environment. The Statistics of Failure: More than 80% of ML projects never reach the stage of industrial operation. The primary reason is the gap between business expectations and the quality of available data. Companies often attempt to build a “rocket” without having […]

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The Path to AI Implementation: Why a “Pilot Project” is Critical for Success

News /

Many companies are hesitant to implement machine learning, viewing it as a costly and risky process with unpredictable results. At RnD-42, we have developed a methodology that minimizes these risks. The “Black Box” Myth Businesses often perceive Artificial Intelligence as magic: “we provide the data, and a miracle happens.” In reality, success depends on data

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Personalized Pricing: How AI Increases Marginality While Maintaining Loyalty

Research /

In the context of global digitalization, businesses face a paradox: while customer data is becoming more abundant, the effectiveness of standard marketing tools is declining. Linear discounts and seasonal sales are gradually giving way to dynamic and personalized pricing. Why Mass Discounts No Longer Work The traditional approach to discounts has two critical flaws: The

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Development of the “Data Discovery Pilot” Methodology

Events /

We have standardized our approach to launching new projects and introduced the “Research Pilot” service. Companies can now receive an ROI (Return on Investment) forecast for machine learning implementation before full-scale development begins. The Concept: A two-month cycle focused on analyzing the client’s data, building a prototype model, and calculating the actual economic impact. The

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RnD-42 on the Global Stage of Transport Technology

Events /

The RnD-42 team presented our developments at the ITSUP section of the Intertraffic exhibition in Amsterdam. Highlight: Our ParkLess project was nominated for the Sustainability Challenge for its innovative approach to reducing carbon footprint through parking space optimization. Result: Partnerships established with global leaders in intelligent transportation systems.

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