Weekly Dose of GenAI Adoption

• Weekly Dose of GenAI Adoption - Episode 87

  This edition of the "Weekly Dose of GenAI Adoption" newsletter, authored by AWS expert Indy Sawhney, provides a practical framework for organizations seeking to accelerate Generative AI adoption. The author introduces the "Mini Iceberg" exercise, a localized method inspired by MIT's national Project Iceberg Index, which estimates AI's technical capacity to perform tasks representing significant national wage value. This simple, team-level workshop instructs employees to list their routine work and score it based on three criteria: Repetition, Structure, and AI Helpfulness. Tasks with a resulting high score (11–15) are identified as strong candidates for Agentic AI assistance and immediate experimentation. The ultimate purpose of this methodology is to shift the corporate conversation from potential job displacement to proactively identifying specific work that can be safely automated, thereby allowing human workers to focus on complex, high-judgment activities.

  --------  

  5:15

  --------

  5:15
• Weekly Dose of GenAI Adoption - Episode 86

  The source material is derived from a professional newsletter discussing strategies for accelerating Generative AI (GenAI) adoption within large organizations, with a special focus on the healthcare and life sciences sectors. The author uses consumer AI functions, such as Google’s autonomous shopping agents, to illustrate the high expectations employees and customers now have for AI that can execute entire workflows rather than merely answering questions. This shift exposes the significant Agent-Ready Enterprise Platform Gap, citing a corporate lack of infrastructure needed to safely host acting agents that require consistent context, clear permissions and policy, and robust observability. To achieve enterprise readiness, the text advises leaders to start with manageable, high-pain workflows, define pre-approved actions explicitly, and proactively integrate risk and compliance teams into the design phase. Success ultimately depends on funding the underlying platform capabilities early to ensure agents can act with the necessary context and auditability required in regulated industries.

  --------  

  5:13

  --------

  5:13
• Weekly Dose of GenAI Adoption - Episode 85

  The provided text comes from the "Weekly Dose of GenAI Adoption" newsletter, edition #85, authored by Indy Sawhney, a Generative AI Strategy & Adoption Leader at AWS. The central focus is on practical, actionable insights for accelerating the adoption of Generative AI (GenAI) within the enterprise, particularly in the healthcare and life sciences sector. A significant portion of the newsletter details a specific experiment within a big pharma company where an "agentic AI" was deployed to automate the manual, time-consuming Commercial Business Review process, successfully freeing up over four hours per manager per week. The author emphasizes that real-world ROI in GenAI adoption stems from addressing genuine pain points, iterative refinement with Subject Matter Expert (SME) feedback, and focusing on tangible gains like time savings, accuracy, and reduced stress.

  --------  

  5:14

  --------

  5:14
• Weekly Dose of GenAI Adoption - Episode 84

  The source material is the 84th edition of the "Weekly Dose of GenAI Adoption" newsletter, authored by Indy Sawhney, a Generative AI Strategy & Adoption Leader at AWS who focuses on the healthcare and life sciences industry. The newsletter provides an overview of why 95% of enterprise GenAI pilots fail, citing MIT research that found this failure is due to organizations misunderstanding how to integrate AI. Specifically, the research shows that human-AI combinations underperform on strategic decision-making tasks but excel when used for content creation, analysis, and scenario generation through iterative collaboration. The central strategic guidance is that leaders must redesign workflows to keep humans accountable for strategic judgment while leveraging AI for acceleration and creative support. Sawhney emphasizes that the core mistake is outsourcing strategic judgment, advocating instead for using GenAI to amplify human creativity rather than replace it.

  --------  

  4:36

  --------

  4:36
• Weekly Dose of GenAI Adoption - Episode 83

  The sources consist of excerpts from the "Weekly Dose of GenAI Adoption newsletter," authored by Indy Sawhney, a Generative AI Strategy & Adoption Leader at AWS, who focuses on the healthcare and life sciences industry. The primary theme of the newsletter is that GenAI serves as an amplification tool, not a replacement for human expertise and deep domain knowledge, using the Boeing 787 Dreamliner’s outsourcing failures as an extended metaphor for the risks of relying too heavily on digital tools without proper human oversight. The author warns against "workslop," where high-volume AI output lacks substance, emphasizing that the best return on investment (ROI) for GenAI is achieved by blending AI assistance with experienced human judgment and cross-functional collaboration. The text provides a "CxO Playbook" recommending that organizations assign GenAI as an assistant to experts, measure outcomes over mere throughput, and invest in mentorship alongside AI adoption.

  --------  

  6:48

  --------

  6:48

More Technology podcasts

Trending Technology podcasts

About Weekly Dose of GenAI Adoption