sensemaking360

Stephen Beller shared an  aritcle from Stanford. Here is a summary of the key opportunities and challenges in developing next-generation generative AI applications for human well-being, particularly in behavioral healthcare: Opportunities : 1. Expanding access to mental healthcare by addressing insufficient system capacity and scaling personalized treatments. 2. Supporting, augmenting, or potentially automating aspects of psychotherapy. 3. Improving the quality, consistency, and scalability of therapeutic interventions and clinical research. 4. Facilitating large-scale studies of evidence-based interventions that could challenge assumptions about psychotherapy. 5. Enabling a precision medicine approach to behavioral healthcare by analyzing large datasets to determine optimal treatments. 6. Automating administrative tasks, measuring treatment fidelity, providing feedback on therapy homework, and assisting with supervision and training. Challenges : 1. Ensuri...

  A LinkedIn post by  Helen Bevan  triggered this Thought Spark, meant to ignite and expand the conversation. Exaptation is a term used in evolutionary biology to describe a trait that has been co-opted for a use other than the one for which natural selection has built it. Exaptation is a concept many executives may not be familiar with, especially those who have built successful careers focused on efficiency and operational excellence in established industries. Let me provide some context on exaptation and how it relates to the other concepts you mentioned: Exaptation: Exaptation is a process where existing features or capabilities are co-opted for new uses that differ from their original purpose. This concept comes from evolutionary biology but has been applied to innovation and business contexts.  Key points about exaptation: 1. It involves using features for purposes other than what they were originally intended for. 2. It can lead to novel innovation...

In today's fast-paced tech world, DevOps has become the backbone of efficient software development and deployment. However, a critical challenge looms over many organizations: the loss of crucial DevOps knowledge when key team members are not available 24 by 7 when critical incidents occur or when they depart. This "brain drain" phenomenon isn't just an inconvenience—it's a ticking time bomb for operational stability and innovation. But where there's a problem, there's also an opportunity. Let's dive into why this challenge presents a golden opportunity for a forward-thinking startup. ## The Problem: The Vanishing DevOps Knowledge Base ### 1. Tacit Knowledge Walks Out the Door DevOps practices often rely heavily on tacit knowledge—the kind that's difficult to document and is typically learned through experience. When a DevOps engineer leaves, they take years of accumulated insights with them. ### 2. 24/7 Support Strain The need for roun...