InElevate TechbySebastian Straube·May 11The End of the Dev Bottleneck: How Autonomous AI Scrum Teams Are Rewriting the Operating ModelThere is a meeting that happens in almost every enterprise, every quarter, with a different cast but the same script. Leadership gathers to…
InElevate TechbySebastian Straube·Mar 27The Jevons Paradox of Software: Why Intent Is the New DifferentiatorIn 1865, the English economist William Stanley Jevons published a finding that unsettled the conventional wisdom of Victorian England. In…A response icon3A response icon3
InElevate TechbySebastian Straube·Mar 16The Strategic Role of AI Centers of ExcellenceWhy scaling AI requires more than technology
InElevate TechbySebastian Straube·Feb 17From Pipelines to Products: How Data as a Product Elevates Medallion ArchitectureIn many organizations, data is still treated as a byproduct of applications – something generated, stored, and occasionally queried.A response icon1A response icon1
InElevate TechbySebastian Straube·Oct 21, 2025Kill the Status Quo: Reinventing Agility with Agentic AIAgile isn’t broken — but it’s buckling under its own success. Two decades after its rise, agile is everywhere, yet many teams feel the…A response icon1A response icon1
Sebastian Straube·Aug 12, 2025Product Management 101: #47 Bandit AlgorithmsBandit Algorithms: The Smarter Way to Run Experiments in Product Management
InElevate TechbySebastian Straube·Jun 24, 2025The Strategic Role of Objectives and Key Results (OKRs) in Modern OrganizationsIntroduction
InElevate TechbySebastian Straube·Jun 4, 2025The Next Leap in Agility: How Agentic AI Transforms Enterprise Speed and AdaptabilityAgile transformation began as a way to break free from rigid, slow-moving organizational structures. It gave us empowered teams, faster…
InElevate TechbySebastian Straube·Jun 3, 2025Navigating Agility in Data Product Management: A Blueprint for High-Impact TeamsIn the age of data-driven decision-making, the role of product management has evolved far beyond software features and roadmaps. For data…