Categories We Write About
  • Building agents to assist in crisis communication

    In an era of rapid information exchange and global connectivity, the role of communication during crises has never been more critical. From natural disasters and pandemics to cyberattacks and corporate emergencies, effective crisis communication can significantly influence public perception, stakeholder trust, and organizational resilience. Building intelligent agents to assist in crisis communication introduces a transformative…

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  • Building agents to highlight gaps in product-market fit

    In the highly competitive landscape of modern business, achieving a perfect product-market fit can often feel like hitting a moving target. Customer needs evolve, market dynamics shift, and competitors adapt quickly. In this ever-changing environment, companies must embrace tools and methodologies that offer real-time, data-driven insights into where their product stands in relation to market…

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  • Building agents to manage change communication

    Building Agents to Manage Change Communication Change is an inevitable aspect of organizational growth. Whether it’s restructuring, adopting new technologies, merging departments, or evolving business strategies, managing change effectively is crucial to sustaining productivity, morale, and alignment. However, one of the most challenging aspects of change management is communication. Poor communication can lead to resistance,…

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  • Building AI agents to compare business model variants

    Artificial Intelligence (AI) has evolved beyond automation and data analysis to become a critical tool in strategic business decision-making. One powerful application of AI is in the development of intelligent agents designed specifically to compare business model variants. These agents enable organizations to evaluate different business approaches in real time, reducing risk and optimizing strategies…

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  • Building AI agents to reduce meeting overload

    In today’s fast-paced digital work environment, meetings have become an essential collaboration tool but also a primary source of time waste and employee burnout. As organizations scale, meeting overload becomes a critical issue, leading to reduced productivity, decision fatigue, and employee disengagement. With advancements in artificial intelligence, however, there is a significant opportunity to redesign…

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  • Building AI assistants for shared knowledge validation

    In today’s digital age, the sheer volume of information available online is staggering, yet not all of it is accurate or reliable. As organizations and individuals increasingly rely on data-driven decisions, ensuring the validity of shared knowledge becomes paramount. Building AI assistants for shared knowledge validation offers a transformative approach to maintaining accuracy, enhancing trust,…

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  • Building AI Ecosystems, Not Just Tools

    Artificial Intelligence (AI) is no longer just a collection of standalone tools performing isolated tasks; it is rapidly evolving into a comprehensive ecosystem that integrates diverse components across industries, technologies, and human experiences. The future of AI development hinges not only on the sophistication of individual models or tools but on the ability to foster…

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  • Building AI into the Corporate Value Proposition

    In today’s rapidly evolving business landscape, integrating artificial intelligence (AI) into a company’s value proposition is no longer a futuristic concept but a strategic imperative. Organizations that successfully embed AI into their core offerings gain a competitive edge by enhancing operational efficiency, personalizing customer experiences, and driving innovation. This shift transforms traditional value propositions by…

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  • Building AI Products_ A Product Manager’s Guide

    Artificial intelligence (AI) has transformed from a niche academic field into a core driver of modern business innovation. For product managers, this shift means embracing new responsibilities, mindsets, and skills. Building AI products isn’t just about adding machine learning to an app—it requires deep understanding of data, model behavior, experimentation cycles, and user trust. Here’s…

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  • Building AI Value Streams Across Business Units

    In today’s rapidly evolving digital economy, Artificial Intelligence (AI) is reshaping the way businesses operate. From optimizing supply chains to personalizing customer experiences, AI holds the potential to transform every business function. However, many organizations struggle to scale AI effectively due to siloed operations, inconsistent data strategies, and misaligned priorities. The solution lies in building…

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Categories We Write about