Cultural-semantic Topology
Discover how Organizational Cultural-semantic Topology Analysis (OCTA) is revolutionizing the way we understand organizational culture. This innovative approach combines Social Network Analysis and AI-driven semantic analysis to uncover key influencers, communication patterns, and prevalent attitudes within organizations, especially those with remote teams. Dive into our blog post to learn how OCTA, used ethically, can drive successful cultural transformations, and explore a unique case study using public data from the infamous Enron scandal. #OrganizationalDevelopment #CultureChange #AI #RemoteWork
Learning Professionals are Crucial to the AI Economy
The World Economic Forum's Future of Jobs Report 2023 emphasizes the crucial role of learning professionals in the AI economy. With 44% of workers' skills expected to be disrupted in the next five years, there is an urgent need for training and upskilling. Learning professionals must develop innovative programs to address the growing importance of cognitive, creative, and technology literacy skills, as well as bridge the gap between strategic priorities and workforce needs. By helping companies overcome skills gaps and talent attraction challenges, learning professionals can play a pivotal role in preparing the workforce for the AI-driven future.
From Knowledge Graphs to Knowledge Flows
In this blog post, we explore the potential of Large Language Models (LLMs) to revolutionize enterprise knowledge management by transforming it from static graph models to dynamic knowledge flows. We will delve into the capabilities of LLMs in recognizing entities, relationships, and attributes in unstructured text, and discuss their applications in semantic search, adaptive knowledge representation, and scalable knowledge management
Enterprise Learning in the Age of AI
In today's rapidly evolving business landscape, the age of artificial intelligence (AI) is transforming the way organizations approach workforce development, re-skilling, and up-skilling of their employees. Large Language Models (LLMs) are at the forefront of this change, offering innovative and effective learning solutions tailored to the needs of the modern workforce. In this blog post, we will explore the potential of LLMs in enhancing enterprise learning, the benefits for both employees and organizations, and provide insights on how to implement a successful learning and development program that harnesses the power of AI-driven LLMs.
Sociotechnical Systems Thinking
As AI continues to transform knowledge work and disrupt traditional job roles, organizations must invest in lifelong learning initiatives and promote a culture of adaptability to ensure their workforce remains relevant and competitive. By adopting sociotechnical systems thinking, organizations can create new opportunities for human-AI collaboration, drive growth, and thrive in the face of unprecedented technological change.