Blogs

  • AI Implementation Challenges That Ready Learning Platforms Find Hard To Resolve

    LMS (Learning Management System) products face several challenges in implementing AI in enterprise L&D. These difficulties arise from both technical and organizational barriers: 1. Data-Related Challenges •Data Silos: Learning data is often scattered across multiple platforms (e.g., LMS, HRIS, third-party tools), making integration difficult. •Data Quality: Inconsistent or incomplete data hinders AI algorithms from delivering [...]

  • What is stopping L&D from adopting tech like AI, VR, AR, and such

    The broad percentage of corporations that have not implemented new technologies in Learning and Development (L&D) programs varies, but estimates suggest it could range between 40-50% globally. In the U.S. also, around 40-50% of corporations have not fully implemented new technologies in L&D. These challenges includes companies that either lack the resources or strategy [...]

  • Challenges In Data Driven Insights Implementation in L&D Solutions

    Implementing data-driven insights in corporate L&D comes with its challenges. Here are the key hurdles that our assignments are about: 1. Data Quality and Accessibility • Inconsistent Data Sources: Data from multiple systems (HR, LMS, performance tools) may be fragmented or incompatible. • Data Gaps: Lack of comprehensive data on employee behavior, learning preferences, [...]

  • LearnOps tools are the Right solutions for smoother learning processes

    Wouldn’t it be ideal if streamlining the learning process, like training delivery and managing sessions, was as simple as hitting an “update” button? While Technology providers are going to have that as a feature, there are ready tools like LearnOps (Learning Operations) that provide these functionalities already. These tools automate and streamline almost every [...]

  • Building High-Performing Teams with Data-Driven Recruitment

    The battle for hiring and retaining skilled employees is real. Even giants like Wells Fargo, Bank of America, and Goldman Sachs were finding it difficult to retain their top talent. Today’s job market is highly competitive, and scouting and hiring the best candidate quickly and efficiently has become a necessity. Identifying the right candidates [...]

  • Maximize Learning Potential: Reduce Logarithmic Bias with Explainable AI

    The meteoric rise of Artificial Intelligence (AI) is transforming countless industries with its automated decision-making and predictive power. But unfortunately, most AI models often operate as confusing “black boxes,” hiding their decision-making processes in mystery. This lack of transparency leads to hidden biases, like logarithmic bias, which significantly skews a model’s fairness and effectiveness. [...]

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    Predictive Learning Analytics: Make learning smarter, not harder!

      The modern workplace necessitates organizations to continuously adapt and keep pace with changing skill demands. Such dynamic shifts in the “skills in demand” are primarily driven by three factors – technological advancements, economic changes, and evolving social norms. But such shifts present both challenges and opportunities for organizations and individuals alike. To thrive [...]