Recursive AI self-improvement: preparing businesses for new challenges
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
CONTROLLED FINANCE
Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
135 publications
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
Platform engineering optimizes Kubernetes in hybrid infrastructures, ensuring cost predictability, enhanced security, and operational efficiency.
AI voicebots in telecom contact centers enhance efficiency but require a balance between automation and customer trust.
CERT-UA warns of intensified cyberattacks targeting critical infrastructure. We examine new attacker tactics and effective defense strategies based on Zero Trust architecture.
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Platform Engineering and IDP are transforming development, optimizing cloud costs, and enhancing security amidst increasing infrastructure complexity.
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legacy system limitations.
Telecom operators must proactively prepare data and enhance cybersecurity to comply with the EU's AI Act, minimizing fraud risks.
Integrating Edge AI with 5G and data security measures is becoming the foundation for protecting critical infrastructure by 2027, requiring systematic data management.
Integrating antifraud systems with billing and softswitch is crucial for telecom operators in 2027 to effectively combat fraud.
AI in FinOps aids in forecasting and controlling cloud expenditure, ensuring budget transparency and resource management discipline.
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.