Generative AI is at its infancy and despite the recent hype, the impact so far on corporate business has been limited. Beyond the minor challenges - like robustness and hallucinations - the major blocker in corporate environments stems from massive data silos that operate in isolation (CRM, ERP, HR, emails, document systems, etc).
Despite decades of effort to integrate these systems - recall ETL, SOA, ESB, BPM, RPA and microservices - progress has been slow due to quickly increasing complexity and the resulting maintenance difficulties. As a consequence, humans still carry most of the integration burden, and manually perform most of the tasks that could be automated.
The next wave of AI brings Agentic AI systems that will transform corporate automation. These autonomous agents will transcend silos, map APIs and interact with disparate systems. They will be able to collect, process, and act on data continuously with a comparatively minor integration and maintenance efforts. AI will streamline workflows, optimize business decisions, and accelerate automation across industries.
The journey towards this end state will - as always - be a series of steps. High-impact use cases will come first, where LLMs and sequential agents will reach into silos, collect and transform data into knowledge, in support of specific business needs.
Cube5 AI brings the necessary expertise to understand and operationalize these first steps of adoption. But we also know that these early (Generative AI) applications are just the start of the journey towards Agent-based automation that acts across the enterprise.
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