Integrating IoT and drone data for industrial operations
Integrating data from drones and IoT devices is transforming the management of critical infrastructure and industrial systems, enhancing efficiency and safety.
INSIGHTS & PRACTICE
Data and management metrics
Practical guides to business-process automation: from the first assessment to measurable results.
57 publications
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.
Oracle PeopleSoft vulnerability exploited in university data breach
A critical zero-day vulnerability, CVE-2026-35273, in Oracle PeopleSoft has been exploited by the ShinyHunters group to compromise educational institutions, highlighting the ongoing risks associated with legacy ERP systems.
Physical AI and IoT: Preparing Manufacturing for Intelligent Systems
Physical AI, IoT, and edge platforms are integrating to create systems that react to the physical world in real-time within manufacturing environments.
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.
Securing IoT in critical infrastructure through managed isolation
Isolating IoT devices in critical infrastructure is a fundamental architectural solution for enhancing security without compromising operational manageability.
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.
Protecting critical infrastructure from emerging IoT/SCADA threats
The increasing number of cyberattacks on critical infrastructure necessitates a reevaluation of approaches to securing IoT and SCADA systems. Emerging challenges for 2026 demand integrated solutions and continuous monitoring.
AI-driven data governance for system integration quality
By 2026, over 70% of successful digital transformation initiatives will rely on an effective Data Governance strategy integrated with artificial intelligence capabilities. This will enable addressing data quality issues critical for system integration. The increasing complexity of enterprise IT land
API-driven system integration accelerates enterprise time-to-market
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.
Data governance and enterprise data management for system integration
Increasing data volumes and stricter regulatory requirements necessitate that organizations implement comprehensive Data Governance approaches. Effective system integration is a key factor in realizing these strategies.