# Business Value Published articles for Business Value. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How to connect AI usage to business value DevFeed: [How to connect AI usage to business value]() Original publisher: [Read original article]() Published: 2026-09-16T12:00:00Z Content type: tutorial Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [ChatGPT](), [codex](), [data](), [Software Engineering]() Tags: [ai](), [analytics](), [business-value](), [chatgpt](), [codex](), [product](), [training]() ### AI overview This tutorial explains how ChatGPT Work and Codex analytics help administrators connect AI adoption, usage, spending, supported tasks, and outcomes to business decisions. It covers views for identifying training needs, evaluating workflows, reviewing model and tool usage, and monitoring Codex contributions and code-review activity. ### Source excerpt Learn how ChatGPT Work and Codex analytics help teams understand AI usage and spend, identify training needs, and connect adoption to business outcomes. ## Building A UX ROI Case That Survives The Boardroom DevFeed: [Building A UX ROI Case That Survives The Boardroom]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Alex Williams) Published: 2026-09-11T13:00:00Z Content type: article Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [Software as a service]() Tags: [article](), [b2b](), [business](), [business-value](), [design](), [saas](), [ux]() ### AI overview This article presents a worked example for building a credible UX ROI case. It explains how to connect UX initiatives to business goals, define and measure value, account for costs, test causality, and present a return-on-investment figure that can withstand executive and finance scrutiny. ### Source excerpt Strong UX ideas do not secure investment on their own. Through a worked example, Alex Williams breaks down how to define business value, calculate costs, test causality, and build a credible case for the return on a design initiative. - UX - Design - Business ## Beyond Autonomous Teams in Software Product Development DevFeed: [Beyond Autonomous Teams in Software Product Development]() Original publisher: [Read original article]() Author: Ben Linders Published: 2026-09-10T10:29:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Self-organizing Team](), [Software Engineering]() Tags: [agile-conferences](), [autonomous](), [autonomous-software-teams](), [business-value](), [complex-systems](), [complexity](), [conference](), [culture-methods](), [delivering-value](), [management](), [networking](), [news](), [product-development](), [scrum](), [self-organizing-team](), [teamwork]() ### AI overview A conference talk argues for moving from product-focused autonomous teams to value centers, with organizational design shaped by value and its dependencies. It frames agency and coherence as a trade-off and uses the Viable Systems Model to suggest five questions for teams. ### Source excerpt Autonomous teams are an article of faith in modern software development. The shape of our value determines what we can do; it determines our trade-offs between agency and coherence. We all have a purpose, and we all have agency to do something, hence the suggestion is moving from product focus to value center thinking. By Ben Linders ## Why Data Teams Should Focus on Business Value, Not Just Technical Decisions DevFeed: [Why Data Teams Should Focus on Business Value, Not Just Technical Decisions]() Original publisher: [Read original article]() Author: SeattleDataGuy Published: 2026-09-05T16:08:27Z Content type: opinion Language: en Sources: [SeattleDataGuy's Newsletter]() Topics: [data](), [coding](), [Microservice](), [Cloud]() Tags: [architecture](), [business-value](), [data-platform](), [productivity](), [technical]() ### AI overview This opinion article argues that engineers and data teams often focus heavily on technical choices--such as architecture, platforms, and infrastructure--while neglecting the business reasons for building an application or feature. It encourages teams to prioritize meaningful outcomes and business value. ### Source excerpt Why data teams need to spend less time debating the stack and more time questioning the work ## The search multiplier: Driving revenue, productivity, and AI at scale DevFeed: [The search multiplier: Driving revenue, productivity, and AI at scale]() Original publisher: [Read original article]() Author: Nicole Volk Published: 2026-08-20T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [elasticsearch](), [AI search](), [AI Infrastructure](), [Generative AI](), [idc](), [Resilience]() Tags: [accelerate](), [agentic-ai-cloud-search-context-engineering-customer-experience-deployment-end-user-experience](), [ai](), [ai-infrastructure](), [analysis](), [business-value](), [customer-story-elasticsearch-workplace-search](), [elasticsearch](), [elasticsearch-platform](), [financial-services](), [government](), [healthcare](), [resilience](), [retail](), [retrieval](), [search]() ### AI overview An IDC study of 11 large enterprises reports that the Elasticsearch Platform, used as a search and retrieval foundation, helped organizations deliver AI products faster while improving revenue, productivity, search relevance, and operational resilience. The study reports a 517% three-year ROI, $13.4 million in annual benefits per organization, and an 11-month payback period. ### Source excerpt An independent IDC study found organizations deploying the Elasticsearch Platform for enterprise search and agentic AI deliver AI products faster, drive higher revenue, boost productivity, and strengthen operational resilience across the business. ## How CFOs can manage AI costs and prove business value DevFeed: [How CFOs can manage AI costs and prove business value]() Original publisher: [Read original article]() Author: info@1password.com (Greg Henry) Published: 2026-08-04T00:00:00Z Content type: article Language: en Sources: [Blog on 1Password Blog]() Topics: [Artificial Intelligence](), [AI Strategy](), [Software as a service](), [Cloud](), [dashboards]() Tags: [ai](), [ai-adoption](), [billing](), [business](), [business-value](), [cloud](), [compliance](), [dashboards](), [finance](), [management](), [real-time](), [saas-management]() ### AI overview The article explains how CFOs and Finance teams can manage unpredictable AI spending by gaining earlier visibility into usage, forecasting budget risk, assigning ownership, and connecting AI investments to measurable business outcomes. It highlights consumption-based pricing, changing model costs, and delayed reporting from IT and vendor dashboards as key challenges. ### Source excerpt Earlier this year, a bill arrived from one of 1Password's AI vendors for 5x the value of the original contract. The initial agreement came in below a certain threshold, so it never reached the right approvers for review. By the time it did, we had a much clearer understanding of how quickly AI costs can add up. This unpleasant surprise revealed a structural gap between IT, Finance, and end users when it came to AI billing and consumption. Although Finance was accountable for the budget, it had no way to see what was being spent on AI until it was already spent. Other CFOs are seeing the same pattern of a bill arriving that no one can explain. Now, as leaders grapple with soaring and unpredictable token costs, what was considered a budget line item just a few months ago has become a board-level topic. Managing AI costs requires Finance and IT to share visibility into consumption before the invoice arrives. Organizations need a way to track usage, forecast budget risk, assign ownership, and connect AI investments to measurable business outcomes. Why AI costs are harder for Finance to forecast Effective Finance and IT are built on predictability: per-seat SaaS contracts, annual budget cycles, and predictable renewal dates. Contracts with AI vendors are fundamentally different. They're based on consumption pricing, which scales with usage, not headcount. As AI usage grows across a team or department, the bill can literally grow overnight. The closest comparison is cloud, which also uses consumption pricing. Cloud sprawl took years to bring under control, but Finance eventually learned to model it. With AI, there is no time for a learning curve. Pricing tiers change constantly, new models ship overnight, and AI adoption continues to accelerate. Why Finance sees AI overspend too late While Finance is responsible for AI spend management, the tools Finance relies on weren't designed to provide real-time visibility. Getting a complete picture requires going through the IT te ## Five product management principles for internal developer platforms DevFeed: [Five product management principles for internal developer platforms]() Original publisher: [Read original article]() Author: Mallory Haigh Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [internal developer platform](), [Product Management](), [Platform Engineering](), [Developer Platform](), [Software Engineering](), [Netflix]() Tags: [automation](), [business-value](), [cognitive-load](), [compliance](), [developer](), [developer-platform](), [developers](), [engineering](), [infrastructure](), [internal-developer-platform](), [management](), [platform-engineering](), [platforms](), [software-engineering](), [tooling]() ### AI overview The article presents five product management principles for internal developer platforms. It argues that platform teams should treat developers as customers, measure developer outcomes and adoption, reduce cognitive load through golden paths, and continuously evolve platforms to deliver business value. ### Source excerpt Discover five product management principles crucial for driving adoption and business value in internal developer platforms, focusing on developer needs ## Why we built Platform Engineering Consulting (PEC) DevFeed: [Why we built Platform Engineering Consulting (PEC)]() Original publisher: [Read original article]() Author: Ajay Chankramath Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [Artificial Intelligence]() Tags: [agentic](), [ai](), [architecture](), [business-value](), [engineering](), [platform](), [platform-engineering]() ### AI overview PlatformEngineering.org introduces Platform Engineering Consulting (PEC), an advisory and consulting offering based on its experience with enterprise platform teams. The article identifies five recurring mistakes: weak product thinking, an unclear business case, tool-first decisions, ineffective measurement, and scaling AI workloads or self-service before establishing a strong foundation. ### Source excerpt PlatformEngineering.org introduces Platform Engineering Consulting (PEC), its consulting and advisory wing. Leverage our decades of experience to overcome the five common platform engineering mistakes and successfully navigate the agentic shift and AI mandates ## The biggest challenges platform engineering teams are facing in 2026 DevFeed: [The biggest challenges platform engineering teams are facing in 2026]() Original publisher: [Read original article]() Author: Sam Barlien Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [Product Management]() Tags: [2026](), [building](), [business-value](), [developer](), [engineering](), [how-to](), [organizational](), [platform](), [platform-engineering](), [report](), [strategy](), [technical]() ### AI overview This article examines the biggest challenges facing platform engineering teams in 2026. Based on the State of Platform Engineering Vol 4 report, it argues that cultural and organizational barriers--especially developer adoption, shared vision, product mindset, and change management--outweigh purely technical difficulties. It recommends launching Minimum Viable Platforms, building adoption through early advocates and a Bottom-Up-Top-Down strategy, securing executive alignment, and measuring outcomes to demonstrate ROI. ### Source excerpt Is your platform engineering initiative struggling? Data shows cultural and organizational barriers, not technical ones, are the biggest hurdle. Learn why developer adoption is the top challenge, how to build an MVP, secure executive buy-in, and measure ROI for platform success based on the State of Platform Engineering Vol 4 report. ## How to measure developer productivity and platform ROI: A complete framework for platform engineers DevFeed: [How to measure developer productivity and platform ROI: A complete framework for platform engineers]() Original publisher: [Read original article]() Author: Sam Barlien Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [code productivity](), [dora metrics](), [Developer experience]() Tags: [article](), [business-value](), [deployment](), [developer](), [developer-experience](), [developer-productivity](), [dora-metrics](), [efficiency](), [measurement](), [platform](), [platform-engineering](), [productivity]() ### AI overview A guide for platform engineers and technical leaders on measuring developer productivity and platform ROI. It explains why lines of code, story points, and commit counts fail to capture platform value, then introduces DORA metrics and the SPACE framework as approaches for assessing system-level improvements and developer experience. ### Source excerpt A comprehensive framework for platform engineers and leaders to measure developer productivity and platform ROI. Learn why traditional metrics fail, and how to use DORA and SPACE frameworks for accurate assessment. ## Ten Data-Backed Truths Of User Experience ROI DevFeed: [Ten Data-Backed Truths Of User Experience ROI]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Carrie Webster) Published: 2026-05-15T10:00:00Z Content type: article Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [User Experience](), [data](), [FIRST]() Tags: [analytics](), [business](), [business-value](), [cost](), [data](), [design](), [engineering](), [growth](), [performance](), [prototyping](), [retention](), [revenue](), [user-experience](), [ux]() ### AI overview This article presents data-backed arguments that user experience is a direct driver of business value, revenue, retention, and growth. It emphasizes research and analytics, shows how reducing mobile load time improved completed transactions, and argues that resolving design problems during prototyping can be far cheaper than fixing them after launch. It also highlights performance as a fundamental part of UX. ### Source excerpt Every extra second of friction has a measurable business cost. Carrie Webster shares ten data-backed UX facts that link user experience directly to revenue, retention, and long-term growth. ## Why Decision-Makers Adopt Kotlin Multiplatform DevFeed: [Why Decision-Makers Adopt Kotlin Multiplatform]() Original publisher: [Read original article]() Published: 2026-04-29T18:00:00Z Content type: article Language: en Sources: [Touchlab | Enterprise Mobile Innovation & Development]() Topics: [Kotlin Multiplatform](), [multiplatform](), [Kotlin](), [Maintainability](), [Developer experience](), [jetbrains]() Tags: [adoption](), [business-value](), [developer](), [jetbrains](), [kmp](), [kotlin](), [kotlin-multiplatform](), [maintainability]() ### AI overview The article explains that Kotlin Multiplatform adoption depends on decision-makers seeing measurable business value, not only on developer enthusiasm. It highlights reduced duplicated work across iOS and Android, native UI and workflows, potentially less code, faster release cycles, and improved maintainability. ### Source excerpt KMP adoption is not driven by developer enthusiasm alone. It moves forward when leaders see a clear case for measurable business value. ## 7 steps in a Legacy Modernization Project DevFeed: [7 steps in a Legacy Modernization Project]() Original publisher: [Read original article]() Author: Federico Tomassetti Published: 2026-02-25T06:55:00Z Content type: tutorial Language: en Sources: [Federico Tomassetti]() Topics: [Agile](), [Code quality](), [Code](), [modules]() Tags: [automated](), [business-value](), [code-quality](), [legacy-modernization](), [modernization](), [modules](), [project](), [rpg](), [technical]() ### AI overview This tutorial outlines seven steps for modernizing an RPG-based ERP/MRP system: assess the legacy landscape, define a roadmap, secure buy-in and budget, build the right team and partnerships, execute iterative value-driven increments, manage change, and measure and adapt the modernization effort. ### Source excerpt Embarking on an RPG-based ERP/MRP system modernization is undeniably complex. But it's also highly rewarding when aligned with your business's long-term success. By addressing both the technical and strategic facets, you turn an aging system from a liability into a competitive asset. Let's outline the 7 steps in a legacy modernization project: Step 1: Assess [...] The post 7 steps in a Legacy Modernization Project appeared first on Federico Tomassetti. ## "Just OLAP it": How Ramp rebuilt its analytics platform on ClickHouse Cloud DevFeed: ["Just OLAP it": How Ramp rebuilt its analytics platform on ClickHouse Cloud]() Original publisher: [Read original article]() Author: ClickHouse Published: 2026-01-20T14:09:15Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Kafka](), [data](), [real-time](), [Cloud](), [dashboards](), [Artificial Intelligence]() Tags: [ai](), [analytics](), [building](), [business-value](), [clickhouse](), [cloud](), [data](), [engineering](), [infrastructure](), [kafka](), [performance](), [postgres](), [real-time](), [scale](), [speed]() ### AI overview Ramp rebuilt its analytics platform around ClickHouse Cloud after Postgres queries became too slow for large enterprise customers. A Postgres-to-Kafka-to-ClickHouse pipeline with denormalized enrichers now supports millisecond-speed reporting and customer-facing analytics across more than 50,000 customers, including AI-powered spend insights and proactive budget controls. ### Source excerpt Building a Postgres-to-Kafka-to-ClickHouse pipeline, enabling millisecond-speed reporting across 50,000 customers. ## Discover the Value of Chainguard Containers with the Value Calculator DevFeed: [Discover the Value of Chainguard Containers with the Value Calculator]() Original publisher: [Read original article]() Published: 2025-08-28T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard containers](), [chainguard](), [Tool](), [Vulnerabilities](), [Development]() Tags: [business-value](), [chainguard](), [chainguard-containers](), [chainguard-images](), [chainguard-roi](), [common-vulnerabilities-and-exposures](), [compliance](), [container-images](), [cve-remediation](), [developers](), [engineering](), [tool](), [vulnerabilities](), [zero-cves]() ### AI overview Chainguard introduces a self-serve Value Calculator that estimates the organizational value of adopting Chainguard Containers. The tool uses metrics such as developer count, revenue, container-image usage, CVE remediation time, hardening effort, organizational maturity, industry, and compliance requirements to estimate potential gains from reducing engineering toil, mitigating risk, and supporting revenue growth. ### Source excerpt Chainguard's Value Calculator is a new tool we created to make it easy to quantify the value of using Chainguard Containers for your specific organization. ## Your Career Is Stuck Because You're a Doer, Not an Owner DevFeed: [Your Career Is Stuck Because You're a Doer, Not an Owner]() Original publisher: [Read original article]() Author: Ryan Murphy Published: 2025-06-02T08:20:06Z Content type: opinion Language: en Sources: [The Software Engineering Times]() Topics: [Job](), [Code]() Tags: [business-value](), [career](), [growth](), [job](), [leadership](), [projects](), [skills]() ### AI overview This opinion article argues that developers can advance their careers by acting as owners rather than doers. It contrasts completing assigned tasks with taking initiative, asking questions, anticipating problems, improving systems, and focusing on business outcomes. ### Source excerpt Want growth? Use those do'er skills and change your mindset ## The Reality of Implementing AI in Corporate Environments DevFeed: [The Reality of Implementing AI in Corporate Environments]() Original publisher: [Read original article]() Author: Maria Vechtomova Published: 2025-02-05T13:25:27Z Content type: opinion Language: en Sources: [MarvelousMLOps]() Topics: [Artificial Intelligence](), [implementation](), [Development]() Tags: [ai](), [business](), [business-value](), [news](), [technical](), [technology]() ### AI overview This opinion article examines the gap between AI hype and the practical realities of implementing AI in enterprise environments. It discusses technical debt, regulatory burdens, knowledge gaps, herd effects, and the challenge of converting AI advances into business value. ### Source excerpt The AI Bubble: Hype, herd mentality, and harsh realities ## Measuring AppSec success: Key KPIs that demonstrate value DevFeed: [Measuring AppSec success: Key KPIs that demonstrate value]() Original publisher: [Read original article]() Author: Daniel Berman Published: 2024-11-26T05:00:00Z Content type: tutorial Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Vulnerabilities]() Tags: [application-security](), [aspm](), [awareness](), [blog](), [business-value](), [megawatt](), [metrics](), [sdlc](), [security](), [snyk-apprisk](), [vulnerability-management]() ### AI overview A guide to measuring application security program success through KPIs for risk reduction, team engagement, security posture, and vulnerability-management efficiency. ### Source excerpt Learn how to measure AppSec success with key KPIs that demonstrate risk reduction, improve security posture, and showcase business value to stakeholders. ## Build an AI roadmap that actually delivers value DevFeed: [Build an AI roadmap that actually delivers value]() Original publisher: [Read original article]() Author: jesalg Published: 2024-10-15T00:00:00Z Content type: article Language: en Sources: [Jesal Gadhia]() Topics: [AI Strategy](), [AI Development](), [Large Language Model](), [knowledge-management]() Tags: [agents](), [ai](), [ai-assistants](), [business-value](), [career](), [code](), [knowledge-management](), [leadership](), [llms](), [software-development]() ### AI overview An opinion article explains how to build an AI roadmap around customer needs, business value, and technical feasibility. It recommends prioritizing projects with clear return on investment and quick wins, and discusses creative AI tools and systems that synthesize information. ### Source excerpt What a year in the trenches building with LLMs taught me about delivering value with AI ## Value-Stream-Oriented Kanban DevFeed: [Value-Stream-Oriented Kanban]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2024-04-20T05:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [Kanban](), [Agile](), [Software as a service]() Tags: [agile](), [burnout](), [business-developer-productivity-engineering-leadership-kanban-product-management-engineering-ex](), [business-value](), [cpu](), [cycle-time](), [flow](), [kanban](), [metrics](), [parallel](), [saas]() ### AI overview The article argues that Kanban should be oriented around customer-focused value streams rather than individual subtasks. It contends that measuring task-level flow can create an illusion of productivity while multiple initiatives delay meaningful delivery, and recommends prioritizing fast business value over maximizing utilization. ### Source excerpt Value-Stream-Oriented Kanban Many teams, especially in the startup environment, move away from Scrum and use a leaner Kanban-based approach. This is a good thing. I don't think Scrum is a suitable framework for modern, fast, agile companies. - Especially not in the SaaS field (the reasoning behind this statement will become another article, eventually).