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    o9 Enhances Its Digital Brain Platform With Generative AI-Powered Composite Agents to Execute Complex, Cross-Functional Planning

    ManufacturingNews

    o9 Enhances Its Digital Brain Platform With Generative AI-Powered Composite Agents to Execute Complex, Cross-Functional Planning

    o9's composite agents are built on a foundation of atomic agents, which are AI-driven systems capable of doing tasks, accessing information, and responding to questions depending on particular inputs, combined with LLM systems educated in business-specific information.

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    Businesses face significant challenges in executing complex, cross-functional tasks efficiently, often due to siloed operations that hinder comprehensive insight and collaboration. According to Deloitte, 83% of "digitally maturing" companies use cross-functional teams, yet many still struggle with inefficiencies. Data silos exacerbate these issues, with employees wasting an average of 5.3 hours per week waiting for data from colleagues, contributing to an estimated $1.8 trillion in lost productivity annually for U.S. businesses. Additionally, inconsistent and incomplete data sets from siloed departments lead to flawed decision-making and increased IT costs due to duplicated data platforms and processes. These factors result in value leakage and suboptimal outcomes, significantly hindering the overall effectiveness of an organization’s planning processes.

    Addressing these difficulties front on, o9, a prominent corporate AI software platform supplier, has announced a substantial upgrade to its Digital Brain platform. o9 intends to revolutionise the way planners undertake complicated tasks by adding generative AI-powered Large Language Model (LLM) composite agents, resulting in continuous development in integrated business planning skills.

    “Our Digital Brain’s EKG offers cross-functionality as it touches supply chain, finance, procurement, commercial, customers, and suppliers. It connects the knowledge of all these entities – and is constantly accumulating new knowledge as well,” said Anand Srinivasan, o9’s Chief Strategy Officer. “Now we are deploying composite agents that can do a lot more cross-functional analysis.”

    o9's composite agents are built on a foundation of atomic agents, which are AI-driven systems capable of doing tasks, accessing information, and responding to questions depending on particular inputs, combined with LLM systems educated in business-specific information. Composite agents may employ the o9 Digital Brain platform's core Enterprise Knowledge Graph (EKG) to undertake more complex exercises used in cross-functional planning processes, such as forecasting or post-game analysis. This includes obtaining and synthesising data to analyse month-to-month prediction variations, as well as providing a post-game study of the preceding quarter to compare past projections to actual outcomes and conduct root-cause analysis on forecast mistakes.

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    About the author

    Anshika Mathews

    Anshika is the Global Media Lead for AIM Media House. She holds a keen interest in technology and related policy-making and its impact on society.

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