Who owns the customer master record: Data Governance for Customer 360
Effective customer data management requires clearly defined responsibilities for master record modifications, especially in the context of AI and cybersecurity.
INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
10 publications
Effective customer data management requires clearly defined responsibilities for master record modifications, especially in the context of AI and cybersecurity.
AI voicebots in telecom contact centers enhance efficiency but require a balance between automation and customer trust.
Choosing between Apache Kafka and message queues for event-driven integration depends on scale, reliability, and cybersecurity requirements.
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
Integrating Megapolis.DocNet with eSud optimizes business processes and interaction with government bodies, enabling the phasing out of outdated ECM systems.
The AI Act is changing the game for telecom operators. How to prepare VoIP and contact center data and architecture for new regulatory requirements and current challenges.
Is new system integration taking months? AI in API Gateways ensures microservices security and scalability, reducing time-to-market.
AI analytics is transforming master data management (MDM) in 2026, ensuring accuracy and efficiency in enterprise system integration.
Integrating enterprise systems via API is a key factor for quickly bringing new products and services to market. This approach ensures flexibility, scalability, and efficiency in data exchange across diverse IT landscapes.