Domain-specific AI models for enterprise applications
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legacy system limitations.
Valerii Zadorozhnyi7 min readCONTROLLED FINANCE
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Valerii Zadorozhnyi7 min readRPA and low-code: synergy for complex BPM automation by 2026
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.
Valerii Zadorozhnyi4 min readAI-driven FinOps: The future of multi-cloud cost management by 2026
By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments and the need for automated data analysis.
Yaryna Doroshenko4 min readAI-driven low-code accelerates BPM development by 2026
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.
Valerii Zadorozhnyi3 min readAI-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
Valerii Zadorozhnyi5 min read