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.
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Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
13 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with eSud optimizes business processes and interaction with government bodies, enabling the phasing out of outdated ECM systems.
Telecom operators must proactively prepare data and enhance cybersecurity to comply with the EU's AI Act, minimizing fraud risks.
Integrating antifraud systems with billing and softswitch is crucial for telecom operators in 2027 to effectively combat fraud.
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.
By 2026, 40% of web application attacks will leverage APIs as the primary vector, necessitating a reevaluation of security approaches in system integration. Artificial intelligence is becoming a key tool for detecting and preventing these threats.