AI & ML interests
1. AI applied to Cloud and Infrastructure Core activity: building secure, scalable cloud environments. Direct implications: Resource optimization (FinOps + AI) Anomaly detection in systems and workloads Predictive scaling and capacity planning AI acts as an optimization layer, not a standalone offering. 2. AI for Cybersecurity Positioning includes security and digital transformation. Logical extensions: Behavioral anomaly detection (UEBA, AI-augmented SIEM) Predictive threat analysis Automated incident response AI strengthens defensive capabilities. 3. AI embedded in business software (CRM / ERP) Walter Assets develops and uses CRM-like systems. Natural evolution: Lead scoring and conversion prediction Sales and operational recommendations User behavior analysis AI enhances existing tools rather than replacing them. 4. AI for Digital Transformation Mission: support companies in transformation. Implications: Process automation (AI + RPA) Decision support systems (data + predictive models) LLM integration into workflows AI is integrated into systems, not isolated. 5. AI applied to Real Estate and Investment The company operates in property acquisition and resale. Direct use cases: Property valuation models Market analysis (pricing, demand, yield) Investment decision support AI is used to improve financial decisions.
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