AI strategy in the public sector: from experimentation to structured implementation
The public sector must move from AI pilot projects to a structured implementation with a clear strategy, measurable goals, ethical governance, GDPR compliance, transparency, competency development, and a management model.
TALKINGABOUTIT Labs: R&D that strengthens marketing’s future capabilities
TALKINGABOUTIT Labs combines structured research and development, AI, and experimental design to enhance marketing's future capabilities, increase precision, and create insight-driven, personalized growth.
Transparency in AI collaborations – what strong partnerships require to be sustainable in the long term
Transparency is crucial for long-term AI collaborations, ensuring data quality, ethics and accountability, promoting trust, reducing risks, efficient data management, model traceability, open reporting and security in accordance with GDPR.
This creates accurate marketing campaigns with predictive AI analysis
Predictive AI analysis optimizes marketing campaigns with data-driven precision, cost savings, and faster return on investment, while AI improves segmentation, automation, channel selection, and customer relationships for better outcomes.