As AI continues to evolve, companies face challenges in harnessing its potential, particularly agentic AI, which Capgemini estimates could create up to $450 billion in economic value by 2028. However, issues like model drift and emergent behavior pose risks, leading to unreliable outcomes and diminishing trust. A recent McKinsey study revealed a significant decline in trust for fully autonomous agents, dropping from 43% to 27% within a year.
Hitachi Digital Services addresses these challenges through its Hitachi Application Reliability Centers (HARC), combining robust management systems with over 200 standardized agents tailored for industrial applications. This ensures reliability and security while promoting faster production timelines. The R2O2.ai framework—standing for Responsible, Reliable, Observable, and Optimal AI—augments these efforts. Organizations must assess their current AI investments and consider the efficiency and ROI of deploying agentic AI solutions. For more insights on transforming AI workflows, visit Hitachi Digital Services’ website.
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