Domain-specific models: when corporate AI needs its own language
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
INSIGHTS & PRACTICE
Softline
Practical guides to data, integrations, enterprise platforms and applied AI.
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29 publications
Platform engineering for hybrid Kubernetes: cost and security optimization
Platform engineering optimizes Kubernetes in hybrid infrastructures, ensuring cost predictability, enhanced security, and operational efficiency.
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.
Event-driven integration: Kafka or message queues for your business
Choosing between Apache Kafka and message queues for event-driven integration depends on scale, reliability, and cybersecurity requirements.
Platform engineering and IDP: optimizing cloud and security for banks
Platform Engineering and IDP are transforming development, optimizing cloud costs, and enhancing security amidst increasing infrastructure complexity.
API Gateway with AI policies for microservice security
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
AI security platform: protecting AI services from prompt injection and data leaks
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersecurity tools.
Phased legacy ERP migration for uninterrupted transformation
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.
How AI is transforming API Gateways for enhanced security and microservices scaling
Is new system integration taking months? AI in API Gateways ensures microservices security and scalability, reducing time-to-market.
AI у master: data management and system integration
AI analytics is transforming master data management (MDM) in 2026, ensuring accuracy and efficiency in enterprise system integration.
AI-driven Scriptum: The future of document and workflow automation by 2026
AI-driven Scriptum is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.
AI drives compliance audit automation
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection.