stakeholders

stakeholders on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on stakeholders in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around stakeholders, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Presentation: Turning Outward: Growing From Code to Influence
InfoQ

Presentation: Turning Outward: Growing From Code to Influence

Software engineers and architects seeking to amplify their influence beyond code should explore "Turning Outward: Growing From Code to Influence," presented by Brad Grantham. This session delivers actionable insights for transitioning to technical leadership, encompassing business acumen, stakeholder communication, team empowerment, and navigating organizational complexities. Grantham’s guidance helps engineers maximize their impact. For a contrasting perspective on shifting dynamics, consider our article on Bumble’s recent policy change, demonstrating how even established platforms adapt to evolving user expectations.

Data Science

Why is it that stakeholders expect ML models to have 0% error rate?

The expectation of zero-error ML models from stakeholders remains a persistent frustration for data scientists. Even when rigorous experimentation demonstrates significant metric improvements with safe model performance, individual errors trigger scrutiny. It’s crucial to clarify that even the most sophisticated models inherently make occasional incorrect predictions—a reality inherent in probabilistic systems. Understanding this nuance is vital for fostering realistic expectations and embracing the value of AI-driven insights. For further guidance on navigating these transitions, see our article, "Public health academia to industry."

Developing and Deploying a Platform that the Business Understands and Developers Actually Want
InfoQ

Developing and Deploying a Platform that the Business Understands and Developers Actually Want

Many platform teams struggle to bridge the gap between what leadership wants and what developers need. Lucas Hornung and Christian Matthaei recently outlined critical strategies to address this, emphasizing the importance of stakeholder engagement, measurable value (like DORA metrics), and clearly articulating the pain points developers experience. Visibility to management, coupled with a focus on demonstrable outcomes, is essential for adoption. For a compelling example of ambitious technological undertakings, see our article on "Why Realta Fusion is building a fusion reactor..."