Integrating AI/ML into products: From prototype to production
Transitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE, and 12-Factor App principles.
DECISIONS & DELIVERY
Practical guides to operating models, process automation, transformation governance, management data and controlled AI.
7 publications
Transitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE, and 12-Factor App principles.
By 2026, over 80% of large enterprises will leverage a combination of RPA and low-code platforms to optimize business processes. This approach accelerates development time and enhances automation efficiency.
By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. Integrating artificial intelligence into these platforms significantly speeds up the creation and optimization of BPM systems.
By 2026, over 80% of large enterprises plan to utilize integrated RPA and low-code solutions for business process automation, highlighting the critical role of platforms like Scriptum. This trend is driven by the need to enhance operational efficiency, reduce costs, and accelerate time-to-market for
Companies face daily challenges in processing large volumes of data, automating routine processes, and making decisions. AI agents are becoming a key tool for addressing these tasks, providing a new level of efficiency and adaptability.
Transitioning from on-premises document management systems to cloud solutions transforms not only how documents are stored but also an enterprise's operational model.
Intecracy Group experts presented 'Clouds and AI 2025: Data Act, NIS2, FinOps, and Multi-Cloud as an Operational Model' to clients.