Artificial intelligence (AI) is a class of technologies using machine learning, natural language processing, computer vision and generative models to automate analytical and operational tasks.
An overview of engineering standards and architectural approaches for successfully transitioning AI/ML models from prototypes to stable production environments....
An overview of modern AI security challenges, the use of NIST frameworks, and the implementation of semantic DLP filters for data protection....
An analysis of business readiness for AI adoption, the role of Data Governance and Data Mesh, and data quality control tools for large enterprises....
An overview of integrating AI agents into corporate business processes, covering the role of BPM systems, OWASP security, and BPMN 2.0 and DMN standards....
A practical guide to selecting the right business process automation tools based on deterministic and probabilistic approaches for optimal efficiency....
An overview of the transition from traditional ECM to intelligent information management powered by IDP and artificial intelligence technologies....
An overview of key mistakes in ECM implementation, workflow automation, and intelligent document processing (IDP) according to ISO standards....
An overview of architectural patterns and integration solutions for successful enterprise AI adoption, based on insights from Cisco and Microsoft....
An overview of architectural methods to protect enterprise AI systems from prompt injection and data leaks in line with OWASP and NIST standards....
An overview of approaches to secure IT/OT convergence using OPC UA and ISA/IEC 62443 standards to protect industrial control systems....
An overview of architectural approaches and engineering practices to ensure stability, security, and effective risk management in AI-native systems....
An overview of key changes in enterprise development, new AI security requirements, and the integration of domain-specific models into business....
An overview of technology trends, cybersecurity challenges, and practical scenarios for integrating IoT and drone data into industrial operations....
An analysis of the benefits of domain-specific AI models for business, the challenges of general LLMs, and the architecture of AI implementation....
