# customer Published articles for customer. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## T-Mobile rewards points expiry texts are a phishing scam DevFeed: [T-Mobile rewards points expiry texts are a phishing scam]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-17T10:44:01Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [account](), [App]() Tags: [customer](), [links](), [messages](), [phishing](), [points](), [reward-points](), [rewards-points](), [scam](), [scams](), [t-mobile](), [threat-intel]() ### AI overview Malwarebytes reports a phishing campaign that sends fake T-Mobile rewards-point expiry messages. The messages use invented balances, urgent expiry dates, and phishing links to pressure recipients into clicking before verifying the claim. ### Source excerpt A large phishing campaign is using fake T-Mobile rewards points and looming expiry dates to pressure recipients into clicking malicious links. ## iGaming Fraud Prevention: Key Strategies to Implement DevFeed: [iGaming Fraud Prevention: Key Strategies to Implement]() Original publisher: [Read original article]() Author: Ben Price Published: 2026-09-14T21:00:00Z Content type: article Language: en Sources: [Sift Science]() Topics: [Security, Privacy and Abuse Prevention](), [Exploit](), [math]() Tags: [2025](), [2026](), [acquisition](), [bonus-abuse](), [customer](), [fraud-prevention](), [gaming-fraud](), [igaming](), [igaming-fraud](), [igaming-fraud-prevention](), [industrial](), [marketing](), [multi-account-abuse](), [multi-accounting-detection](), [multi-accounting-fraud](), [network](), [prevent-fraud](), [revenue](), [synthetic](), [time](), [trust-and-safety](), [verification](), [volume]() ### AI overview This article explains how bonus abuse and multi-accounting have become major sources of iGaming fraud. It describes fraudsters exploiting promotional offers through repeated registrations, synthetic identities, stolen credentials, device farms, residential proxies, and synthetic documents, and argues that operators should justify prevention spending by measuring protected revenue. ### Source excerpt While every operator budgets for promotions as a customer acquisition cost, very few budget for the version of that cost that never converts into a real player. Bonus abuse and multi-accounting now account for the single largest fraud category in iGaming, making up 64% of fraud according to a recent study. But unlike chargebacks or [...] The post iGaming Fraud Prevention: Key Strategies to Implement appeared first on Sift. ## Revolut falls for fake government requests, hands over customer data DevFeed: [Revolut falls for fake government requests, hands over customer data]() Original publisher: [Read original article]() Author: Connor Jones Published: 2026-09-14T11:26:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Cybercrime](), [Security]() Tags: [bitcoin](), [customer](), [cyber-crime](), [data](), [phishing]() ### AI overview Revolut handed over passports, selfies, and transaction histories after attackers used fake government requests and claimed responsibility for a crime while demanding 10,000 Bitcoin. ### Source excerpt Passports, selfies, transaction histories exposed as self-proclaimed culprits demand 10,000 Bitcoin ## Every service needs an owner DevFeed: [Every service needs an owner]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-12T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [systems](), [incident]() Tags: [catalog](), [customer](), [incident](), [on-call](), [ownership](), [platform-engineering](), [production](), [reliability](), [service](), [service-catalog](), [sre](), [startups](), [team]() ### AI overview The article argues that growing organizations need a focused service catalog to make production ownership visible. It recommends recording each service's customer outcome, owning team, current on-call contact, deployment path, health dashboard, runbook, and dependencies, and maintaining those records as part of engineering work. ### Source excerpt A useful service catalog is not an inventory project. It is a public record of who owns a customer outcome when the system is healthy and when it fails. ## Unify your marketing data with Lakeflow Connect DevFeed: [Unify your marketing data with Lakeflow Connect]() Original publisher: [Read original article]() Author: Sonia Bendre; Giselle Goicochea Published: 2026-09-11T18:00:00Z Content type: article Language: en Sources: [Databricks]() Topics: [databricks](), [Software as a service](), [Databases](), [API](), [Automation](), [dashboards](), [hubspot](), [CI/CD]() Tags: [analytics](), [api](), [automation](), [churn](), [ci-cd](), [connectors](), [crm](), [customer](), [customers](), [dashboards](), [data](), [databases](), [databricks](), [engineering](), [marketing](), [product](), [retention](), [saas](), [salesforce](), [series]() ### AI overview This first post in a series presents Lakeflow Connect as a fully managed data-ingestion service for unifying fragmented marketing and Customer 360 data. It describes native connectors for SaaS applications, databases, and files, configured through a point-and-click UI or API, with governed tables in Unity Catalog and integrations such as HubSpot and Salesforce. The article highlights reduced maintenance compared with custom pipelines and support for downstream reporting, analytics, retention, and churn analysis. ### Source excerpt This is the first post in a new series exploring how Lakeflow Connect brings fully... ## What It Takes to Run a Mobile App Beta with Real Customers DevFeed: [What It Takes to Run a Mobile App Beta with Real Customers]() Original publisher: [Read original article]() Author: Renee Liken Published: 2026-09-09T12:00:46Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [Mobile](), [Testing](), [App]() Tags: [customer](), [delivery-practices](), [features](), [mobile](), [mobile-app-deployment](), [survey](), [testing](), [time]() ### AI overview This tutorial explains how to run focused mobile app betas with real customers before a full release. It recommends testing one feature at a time, keeping the customer request small, recruiting and incentivizing a limited group, and collecting focused feedback through screenshots, recordings, and surveys. ### Source excerpt Earlier this year, our team shipped two mobile app features for BIGGBY® COFFEE that both touch real money: applying loyalty rewards to an order at checkout, and adding a tip when you pay. These are exactly the kinds of features you don't want customers discovering bugs in via one-star reviews. So before each one released [...] The post What It Takes to Run a Mobile App Beta with Real Customers appeared first on Atomic Spin. ## Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow DevFeed: [Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow]() Original publisher: [Read original article]() Author: Gireesh Sreedhar KP; Deepak Dhankani; Eash Sharma Published: 2026-09-09T03:00:00Z Content type: article Language: en Sources: [Databricks]() Topics: [AI Agent](), [databricks](), [AI Infrastructure](), [real-time]() Tags: [agents](), [ai](), [ai-engineering](), [architecture](), [best-practices](), [blog](), [company](), [customer](), [customers](), [data-science-and-ml](), [data-strategy](), [databricks](), [efficiency](), [engineering](), [evaluation](), [india](), [industries](), [operations](), [platform](), [product](), [production](), [real-time](), [retail-consumer-goods](), [scale](), [workflows]() ### AI overview This Databricks and MLflow case study describes how Zepto uses an evaluation-first, multi-agent AI system to operate customer support at more than 100,000 tickets per day. It focuses on the system architecture, evaluation framework, quality gate, and development and production loops used to improve reliability as volume, product categories, languages, and failure modes expand. ### Source excerpt Zepto's Push for Reliable, Real-Time Customer SupportZepto is one of India's fastest-growing... ## How to secure edge AI in customer-owned environments DevFeed: [How to secure edge AI in customer-owned environments]() Original publisher: [Read original article]() Author: Shayak Lahiri Published: 2026-09-04T19:10:10Z Content type: article Language: en Sources: [Microsoft Security Blog]() Topics: [AI Platforms/Deployment](), [Machine Learning, Security Attacks](), [Inference](), [Application Security](), [cloud-infrastructure]() Tags: [ai](), [attacks](), [cloud](), [customer](), [deployment](), [edge](), [frontier-ai-models](), [hardware](), [how-to](), [inference](), [models](), [security]() ### AI overview The article explains how moving AI inference and assets into customer-owned edge environments changes the security trust model. It recommends attestation, provenance, action mediation, and releasing sensitive assets only to trusted environments. ### Source excerpt As AI moves into customer-owned environments, organizations need new ways to verify the systems, software, and AI assets they trust before releasing sensitive data, credentials, and models. The post How to secure edge AI in customer-owned environments appeared first on Microsoft Security Blog. ## Scheduling email campaigns at scale with Amazon EventBridge Scheduler DevFeed: [Scheduling email campaigns at scale with Amazon EventBridge Scheduler]() Original publisher: [Read original article]() Author: Oluwaseun Ademuwagun Published: 2026-09-01T13:09:17Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [Amazon Web Services](), [Amazon Simple Queue Service (SQS)](), [Software as a service]() Tags: [advanced-300](), [amazon-eventbridge](), [amazon-sqs](), [aws](), [cost](), [customer](), [how-to](), [integration](), [local](), [post](), [saas](), [scale](), [technical-how-to]() ### AI overview This tutorial explains how to schedule personalized email campaigns at scale with Amazon EventBridge Scheduler. It uses one schedule per recipient to deliver messages at individually optimal times, discusses batch cron jobs, Amazon SQS delay queues, and third-party campaign tools, and describes scaling schedule creation with AWS Step Functions Distributed Map and delivery through Amazon SES. ### Source excerpt Learn how to use Amazon EventBridge Scheduler to deliver email campaigns at per-recipient optimal send times. This post shows how to create one schedule per recipient with zero idle compute cost, scale schedule creation with AWS Step Functions Distributed Map, and deliver through Amazon SES. ## If you have to ask, is it accessible? DevFeed: [If you have to ask, is it accessible?]() Original publisher: [Read original article]() Author: George Joeckel Published: 2026-08-31T20:02:26Z Content type: opinion Language: en Sources: [WebAIM Blog]() Topics: [Accessibility](), [ACR](), [configuration](), [client](), [Hardware](), [Software]() Tags: [accessibility](), [acr](), [customer](), [hardware](), [internet](), [legal](), [product](), [software](), [uncategorized]() ### AI overview The article examines why vendors often require potential customers to request a VPAT instead of publishing it publicly. It explains that a VPAT translates accessibility requirements into testing criteria, while a completed VPAT is called an Accessibility Conformance Report (ACR). The article also introduces possible vendor concerns involving customized information, competitive information, and accurate product or configuration details. ### Source excerpt As one of the researchers identifying products and tools for inclusion in the NCADEMI EdTech Accessibility Directory, VPATs have been on my mind. Most of the product vendors in the directory that do have VPATs do not provide them publicly, but instead require a potential customer to request the VPAT. This really surprised me, and [...] ## Building an Operational Ontology: An E-Commerce Walkthrough DevFeed: [Building an Operational Ontology: An E-Commerce Walkthrough]() Original publisher: [Read original article]() Author: Togo YAMANAKA Published: 2026-08-26T14:29:30Z Content type: tutorial Language: en Sources: [Data Engineering Weekly]() Topics: [semantic-layer](), [SQL](), [TypeScript](), [Open Source](), [Databases]() Tags: [customer](), [data-pipeline](), [implementation](), [integration](), [open-source](), [semantic-layer](), [sql](), [typescript]() ### AI overview A walkthrough builds an operational ontology over integrated e-commerce order data from two systems with different schemas and status encodings. It models customers, orders, products, and relationships, then introduces named actions, business rules, and write-back to systems of record. ### Source excerpt The write side of the ontology conversation: named actions, business rules, and write-back to the systems of record -- a pattern already running at enterprise scale. ## ChatGPT Ads expands across Europe DevFeed: [ChatGPT Ads expands across Europe]() Original publisher: [Read original article]() Published: 2026-08-18T22:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [OpenAI](), [personalization]() Tags: [ads](), [advertising](), [business](), [chatgpt](), [cost](), [customer](), [enterprise](), [europe](), [norway](), [openai](), [personalization](), [platform](), [product](), [subscriptions]() ### AI overview ChatGPT Ads is expanding to 31 European markets, with access initially provided through OpenAI's ads team and partners and self-service access now available through Ads Manager. Ads appear only for Free and Go users, while paid plans remain ad-free. OpenAI says ads are labeled, separate from answers, and designed to preserve conversation privacy and user control over personalization. ### Source excerpt ChatGPT Ads is expanding to 31 European markets. Learn how advertisers can reach people as they explore, compare options, and make decisions. ## OpenAI appoints Dali Rajic as Chief Revenue Officer DevFeed: [OpenAI appoints Dali Rajic as Chief Revenue Officer]() Original publisher: [Read original article]() Published: 2026-08-13T09:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [Artificial Intelligence]() Tags: [ai](), [business](), [company](), [customer](), [enterprise](), [leadership](), [openai](), [partners](), [partnership](), [products](), [scale](), [work](), [workflow]() ### AI overview OpenAI appoints Dali Rajic as Chief Revenue Officer to lead its global revenue organization. He will focus on building the revenue operations needed to scale OpenAI's business as AI becomes increasingly embedded in workflows, following Denise Dresser's transition out of the company. ### Source excerpt OpenAI appoints Dali Rajic as Chief Revenue Officer to lead its global revenue organization and help businesses realize the full value of AI. ## Food Delivery & Takeout UX Benchmark: 3,100+ Performance Scores and 1,900+ Best Practice Examples DevFeed: [Food Delivery & Takeout UX Benchmark: 3,100+ Performance Scores and 1,900+ Best Practice Examples]() Original publisher: [Read original article]() Author: Anders Nielsen Published: 2026-08-13T08:01:00Z Content type: article Language: en Sources: [Baymard Institute]() Topics: [Benchmark](), [User experience (UX)](), [App](), [web applications]() Tags: [apps](), [article](), [benchmark](), [case-studies](), [customer](), [ecommerce](), [insights](), [mobile](), [performance](), [research](), [retail](), [user-testing](), [ux]() ### AI overview Baymard presents a Food Delivery & Takeout UX benchmark based on eight mobile sites and apps assessed across more than 390 research-based UX parameters. The benchmark reports over 3,100 weighted performance scores and 1,900 best-practice examples, with overall experiences ranging from poor to mediocre. Key weaknesses include repeat ordering, dietary and customization support, category filters, navigation, fulfillment timing, and tipping details. ### Source excerpt (Note: Unfortunately, e-mail and RSS don't support advanced layouts and features. If the graphics in this article look strange, you may want to read the article in your web browser.) At Baymard, we've just released a new UX benchmark with 8 "Food Delivery & Takeout" UX case studies. This follows our large-scale user testing on Food Delivery & Takeout UX and adds to our existing ecommerce UX benchmark. In this article, we give you a snapshot of the overall UX performance. 8 Food Delivery & Takeout UX Case Studies and the Overall Performance Just Eat mediocre Food Delivery & Takeout 49 page designs: mobile, app KFC mediocre Food Delivery & Takeout 48 page designs: mobile, app Uber Eats mediocre Food Delivery & Takeout 54 page designs: mobile, app Domino's Pizza poor Food Delivery & Takeout 34 page designs: mobile, app DoorDash poor Food Delivery & Takeout 48 page designs: mobile, app McDonald's poor Food Delivery & Takeout 39 page designs: mobile, app Deliveroo poor Food Delivery & Takeout 53 page designs: mobile, app Burger King broken Food Delivery & Takeout 41 page designs: mobile, app YourSite.com? Want to know how your site performs? Get Premium access to review your own site or have it audited by Baymard researchers. These are the 8 in-depth Food Delivery & Takeout UX case studies. The 8 mobile sites and apps have been manually assessed across 390+ research-based UX parameters relevant to Food Delivery & Takeout, resulting in 3,100+ weighted UX performance scores and 1,900+ best practice examples from these mobile sites and apps. Each of the 3,100+ UX performance scores from the 8 case studies is summarized in the interactive scatterplot below -- showing you how they perform collectively and individually: {{ scatterplot-graph: size=big + habitat=public + base-sites=collection:online-food-delivery + view-structure-id=gemini-st_l9jw5tjp }} The overall UX performance of the Food Delivery & Takeout sites and apps ranges from "poor" to "mediocre". What is missing is a ## Fresh context: change data capture, not batch ETL DevFeed: [Fresh context: change data capture, not batch ETL]() Original publisher: [Read original article]() Author: Simran Regmi Published: 2026-08-12T00:00:00Z Content type: tutorial Language: en Sources: [Redis Blog]() Topics: [event driven](), [data](), [Database](), [PostgreSQL]() Tags: [agent](), [applications](), [batch](), [canada](), [customer](), [data](), [database](), [event](), [event-driven](), [events](), [guide](), [postgresql](), [systems](), [tech-de]() ### AI overview This guide explains how change data capture (CDC) keeps agent context current by forwarding database inserts, updates, and deletes as events. It contrasts CDC with nightly batch ETL, which can leave agents using stale policies or pricing, and describes log-based, trigger-based, and polling approaches. ### Source excerpt In many systems, the reason an agent quotes yesterday's data isn't the model. It's the pipeline behind it: a nightly ETL job that refreshed the agent's context hours ago. Change data capture (CDC) can shrink that staleness window from hours to seconds... ## ScyllaDB Customer Experience Spotlight: Susie Solis DevFeed: [ScyllaDB Customer Experience Spotlight: Susie Solis]() Original publisher: [Read original article]() Author: Cynthia Dunlop Published: 2026-08-10T14:28:35Z Content type: article Language: en Sources: [ScyllaDB]() Topics: [Databases](), [distributed-systems](), [cloud-infrastructure](), [Kubernetes](), [Terraform](), [Latency](), [Linux]() Tags: [blog](), [cloud-infrastructure](), [community](), [customer](), [cx-profiles](), [database](), [distributed-systems](), [kubernetes](), [latency](), [linux](), [on-call](), [production](), [streaming](), [support](), [terraform]() ### AI overview Susie Solis, a ScyllaDB Technical Support Engineer, discusses her background in technical support, cloud infrastructure, and distributed systems, along with a Kubernetes and Terraform project built to reproduce environments and troubleshoot customer issues. She also describes ScyllaDB's ability to sustain high-throughput production workloads and low latency during major streaming events. ### Source excerpt Meet Susie Solis, a Technical Support Engineer on the Customer Experience team here at ScyllaDB. ## Show, Don't Tell: What Evo Continuous Offensive Security Found in a Real Enterprise SaaS DevFeed: [Show, Don't Tell: What Evo Continuous Offensive Security Found in a Real Enterprise SaaS]() Original publisher: [Read original article]() Author: Nuno Loureiro; Luis Grangeia Published: 2026-08-10T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Security](), [Vulnerabilities](), [Authorization](), [Software as a service](), [Microservice](), [Microservices](), [Front end](), [API](), [App](), [Artificial Intelligence](), [Trustworthy AI]() Tags: [agent](), [ai](), [api](), [application-security](), [applications](), [attacks](), [autonomous](), [awareness](), [blog](), [customer](), [customer-featured](), [cybersecurity](), [devops](), [enterprise](), [frontend](), [interest](), [microservices](), [saas](), [security](), [vulnerabilities](), [vulnerability-insights](), [web]() ### AI overview Evo Continuous Offensive Security (COS) is presented as an autonomous offensive-security system combining AI pentesting, agent red teaming, and dynamic testing. The article reports a real assessment of a multi-tenant enterprise SaaS application that uncovered 33 confirmed vulnerabilities, including tenant-wide compromise and critical authorization flaws. ### Source excerpt A real Evo Continuous Offensive Security assessment uncovered 33 confirmed vulnerabilities in a multi-tenant enterprise SaaS, including tenant-wide compromise and critical authorization flaws. ## History of SpaceX: The Category-Dominating Commercial Spinoff and the Internalization of Anchor Demand DevFeed: [History of SpaceX: The Category-Dominating Commercial Spinoff and the Internalization of Anchor Demand]() Original publisher: [Read original article]() Author: Brendan Sechter Published: 2026-08-04T09:00:00Z Content type: article Language: en Sources: [Brendan A R Sechter's Development Blog]() Topics: [communications](), [Deployment](), [service]() Tags: [aerospace](), [beta](), [business](), [capacity](), [customer](), [deployment](), [history](), [international](), [launches](), [operational](), [partnership](), [regulatory](), [revenue](), [service](), [spacex](), [subscriber]() ### AI overview This article examines SpaceX's commercial spinoff as the internalization of an anchor customer. It explains how the spinoff consumes the parent's launch output at marginal cost, traces its deployment, service rollout, integration, subscriber and revenue development, direct-to-cell expansion, capital requirements, and regulation, and compares the configuration with other satellite-constellation businesses. ### Source excerpt This article is the eleventh in the History of SpaceX series and the third and last treating the capital-formation legs that the series opener introduced. The category-dominating commercial spinoff concerns the business the venture built on top of its own capability, and the article's organizing claim is that the spinoff is not a diversification into an adjacent market but the internalization of an anchor customer. Where the Anchor Demand article A283 treats a government customer buying launches, this article treats the venture becoming the customer it had previously needed someone else to be. The decisive economic property is not that the spinoff grew large. It is that the spinoff consumes the parent's output at marginal cost while every competitor attempting the same business must pay a market price the parent sets. The article walks the January 2015 announcement and the capacity argument that motivated it, the deployment sequence from the first operational batch of May 2019 through the service beta of 2020 and the commercial rollout of 2021, the vertical integration and the internal transfer price that the whole arrangement turns upon, the coupling between constellation deployment and launch cadence, the subscriber and revenue trajectory across the 2020 through drafting-date period, the direct-to-cell extension beginning with the carrier partnership announced in 2022, the capital intensity and the replenishment obligation that a short-lifetime constellation imposes, and the regulatory position across the Federal Communications Commission, the International Telecommunication Union, and the national regulators whose authorizations the service requires. The article contrasts the configuration against the Iridium and Globalstar precedents, in which comparable constellations were built without a captive launch capability, and against the OneWeb and Kuiper cases, in which competitors attempted the business while buying launch at market. The article closes with an expli ## Embracing What Others Outsource: How Sendoso Built a Category Leader DevFeed: [Embracing What Others Outsource: How Sendoso Built a Category Leader]() Original publisher: [Read original article]() Author: JEFF GANGEMI, GROWTH MARKETING PRACTICE LEAD @ TOPTAL Published: 2026-08-04T05:00:00Z Content type: article Language: en Sources: [Toptal Blog]() Topics: [Software as a service](), [Artificial Intelligence](), [data](), [Software]() Tags: [acquisitions](), [ai](), [customer](), [growth](), [payments](), [personalization](), [podcast](), [saas](), [software](), [startup]() ### AI overview This Executive Guidance podcast episode examines how Sendoso built a category-leading SaaS business by keeping ownership of logistics, payments, software, and data. Kris Rudeegraap and Jeff Gangemi discuss competitive moats, fundraising, acquisitions, AI-driven personalization, go-to-market strategy, and durable growth. ### Source excerpt How does taking ownership of logistics, payments, and AI implementation create a competitive moat? In this episode of the Executive Guidance podcast, Kris Rudeegraap of Sendoso joins Jeff Gangemi to discuss the decisions that shaped the company's growth from startup to category leader. ## How avatarin built a 24/7 retail agent with GPT-Realtime DevFeed: [How avatarin built a 24/7 retail agent with GPT-Realtime]() Original publisher: [Read original article]() Published: 2026-07-30T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Chat](), [AI Bots](), [Retrieval Augmented Generation (RAG)]() Tags: [agent](), [ai](), [ai-agent](), [api](), [customer](), [gpt](), [low-latency](), [openai](), [retail](), [retrieval](), [retrieval-augmented-generation](), [speech](), [voice]() ### AI overview avatarin built a 24/7 multilingual retail shopping agent for Yamada Denki using OpenAI's GPT-Realtime. The agent supports voice conversations and product recommendations; a two-week public campaign reported about 30,000 users and 92% positive survey responses. ### Source excerpt avatarin uses OpenAI's GPT-Realtime to give Yamada Denki shoppers 24/7 multilingual support. In two weeks, 30,000 people used the agent and 92% of survey responses were positive. ## Why digital accessibility is a strategic priority for HSBC DevFeed: [Why digital accessibility is a strategic priority for HSBC]() Original publisher: [Read original article]() Author: Deque Systems Published: 2026-07-28T11:03:51Z Content type: article Language: en Sources: [Deque]() Topics: [digital accessibility](), [Accessibility]() Tags: [accessibility](), [accessibility-best-practices](), [banking](), [business](), [compliance](), [customer](), [customer-trust](), [design](), [digital-accessibility](), [digital-experiences](), [digital-products](), [financial-services](), [strategy](), [web-accessibility]() ### AI overview This article explains why digital accessibility is a strategic priority for HSBC and financial-services organizations. It connects accessible online banking with customer trust, stronger relationships, more inclusive digital experiences, and long-term business value. ### Source excerpt Mali Fernando, Group Head of Digital Experience and Accessibility at HSBC, discusses the role of digital accessibility in creating better banking experiences, strengthening customer relationships, and supporting long-term business success. The post Why digital accessibility is a strategic priority for HSBC appeared first on Deque. ## E-Invoicing Compliance: A Guide for Global SaaS DevFeed: [E-Invoicing Compliance: A Guide for Global SaaS]() Original publisher: [Read original article]() Author: Aarthi Poonia Published: 2026-07-28T00:00:00Z Content type: article Language: en Sources: [Dodo Payments Blog]() Topics: [Software as a service](), [data]() Tags: [compliance](), [customer](), [global](), [guide](), [invoicing](), [merchant-of-record](), [saas](), [tax](), [vat]() ### AI overview A guide to global e-invoicing compliance for SaaS companies, explaining why PDFs do not qualify as structured electronic invoices, how European standards and formats support automated processing, and how obligations may differ when using a merchant of record. ### Source excerpt How e-invoicing mandates work for software companies selling internationally: clearance vs post-audit models, Peppol, structured formats, and who carries the obligation. ## The ivory tower of Platform Engineering DevFeed: [The ivory tower of Platform Engineering]() Original publisher: [Read original article]() Author: Ricardo Castro Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [Tooling]() Tags: [article](), [customer](), [engineering](), [platform](), [platform-engineering](), [strategy]() ### AI overview The article argues that "ivory tower platform engineering," built around a technology-first vision, often ignores internal customer problems and leads to wasted resources, poor adoption, and lost trust. It recommends a customer-first approach focused on solving real-world needs. ### Source excerpt The 'ivory tower' approach to Platform Engineering fails by ignoring customer problems. Adopt a customer-first strategy to stop wasting resources and build the platform your organization truly needs. ## How An Incident Agent Would Handle A Port Incident DevFeed: [How An Incident Agent Would Handle A Port Incident]() Original publisher: [Read original article]() Author: Zohar Einy Published: 2026-07-22T11:10:11Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [incident](), [Artificial Intelligence](), [Automation](), [Kafka](), [DevOps](), [Slack](), [GitHub]() Tags: [agent](), [ai](), [article](), [automation](), [autonomous](), [building](), [config](), [customer](), [devops](), [github](), [incident](), [kafka](), [on-call](), [production](), [scale](), [slack](), [ui](), [work]() ### AI overview The article examines a real incident at Port in which three teams independently investigated the same production problem after a customer generated 1.7 million automation runs in 90 minutes. It describes duplicated investigation, ineffective service restarts, fragmented communication, and slow manual coordination, then considers how an incident agent could connect signals and support autonomous resolution. ### Source excerpt Explore how AI could have handled a real incident at Port, improving response times, automation, and decision-making in production. [Next page]()