人工智能
2026年英国Amazon快速用户集团如何成长。
Amazon快速用户集团 – 英国是一个由Amazon快速用户组成的社区，他们每季度聚会一次，交流知识，分享最佳做法，通过实践课程学习，并讨论他们使用服务的经验。 这些用户群体发挥协作论坛的作用，成员可以共同学习、联系和创新。
无论是您已经使用Amazon快速还是刚刚开始，我们非常希望您加入英国Amazon快速用户组，我们很高兴分享我们2026年的年度总动员，活动吸引了超过150人参加，室内的能量由代理AI和AmazonQuick的潜力所推动，是明确的。 跨行业，客户正在使用Amazon快速将数据混乱转化为更快的决策，更高的满意度，以及可伸缩的增长。 他们的工作跨度为实时事件管理，取消了带有受管数据层的仪表板扩张，并将大部分支持工作流程与AI自动化。
Amazon 快速用户组为何重要
英国Amazon快速用户组是一个由Amazon快速用户组成的地方社区，他们每季度聚集一堂，与服务分享知识，最佳做法和经验。 兹Amazon 快速用户小组充当合作论坛，成员可以：
- 学习和分享 – 交流现实世界对Amazon快车能力的认识，从交互式仪表板和数据故事讲解到代理AI动力自动化和定制agents. 成员分享什么是可行的，什么是行不通的，以及推动结果的新办法。
- 网络 – 与正在用 Amazon Quick 解决类似使用案例的区域专业人士连接，用于企业AI应用，数据分析，以及工作场所生产率。
- 解决问题 — — 通过讨论解决方案和在不同行业和商业背景下使用案例来共同应对挑战。
— — 保持更新 — — 直接从同行和专家那里获得关于新特征、更新和新出现的最佳做法的第一手知识。
- 建设社区 – 建立一个地方支持网络，以补充更广泛的Amazon快速社区，与了解英国市场和商业背景的可信联系人。
活动概况
今年超过3个季度的聚会，英国社区与AmazonQuick实时度过。 没有滑动甲板关于它，实际的时间建设与它。 人们为其团队创建了Amazon快速定制聊天agents，没有写代码。 他们尝试用自己的笔记本电脑运行Amazon快速桌面，连接本地文件，并使用连接器访问Outlook. 他们还使用Amazon快速Apps将普通语言描述转化为工作网络应用程序。 参加讲习班的有Amazon快速流和Amazon快速流的自动化进程，而Amazon快速研究显示削减如何显著缩短研究时间。 Amazon 电话快速聊天agent将其捆绑在一起，是一个连接工具，数据的助手，并代表您采取行动。 每个季度，会议都更加实际，会议室提出的问题更加尖锐。
典型的事件是什么样子
这三项活动都在伦敦绍雷迪奇的Amazon英国公司办公室举行。 到早上9点45分房间已经响了人们通过咖啡重新连接，交换从最后一个季度的更新，和新来的人被拉入对话前一天甚至正式开始。
客户分享他们与AmazonQuick共同打造的事物，产品线索走过最新的更新，75分钟的实践工作坊是它真正生机勃勃的地方，参与者在提供沙盒的账户中滚动袖子，并一起实验。 在我们结束反馈会议时，会议室感觉更像一个工作组，而不是一个听众。
每个季度的格式都发生了变化。 Q1更倾向于介绍和演示，因为小组首次开会。 到了Q2，我们增加了一个破冰测试，并举办了一个关于快速流和自动化的焦点讲习班。 对于Q3，我们带来了一个专门小组，一个小组测试，以及一个网络插槽在结尾。 最后一个是因为人们在关闭后已经留下来聊天了，所以我们不再在他们周围打包，把它放在日程上。
客户分享的东西
顾客的故事从一开始就是社区的一部分。 每个演讲者都给房间带来了不同的问题，显示了团队是如何在截然不同的环境中快速应用的。
在第一次活动时，对话的重点是深入了解需要的人。 在Arriva UK Trains，关键数据并没有惠及最需要的人。 火车和车站管理人员经常行动，只依靠工作机动。 Sofia Bourika的团队搭建了动态的，基于角色的仪表板，并带有便于移动的视图和推出像素的完美报告通过预定的电子邮件自动发送，让管理人员立即看到事件和表现。 结果：更快的决策，更好的事件管理，以及整个组织更强大的数据驱动文化。
到问题2时，讨论已转向另一个挑战：在引入更多AI和自动化之前，先把基础弄好。 在Carsa，一个二手车零售商，分析功能像服务台。 问讯，仪表板关闭。 同一问题给出了不同的答案。 这不是一个数据问题。 这是一个定义问题。 Tobi Daramola在Carsa的团队通过建立单一的规范数据层来解决这个问题，因此，他们移除了50%的仪表板，同时浏览更多的数据。 客户满意度(CSAT)的分数在30天内移动了10%，同一天的投诉贴近率猛增了20%，层层的AI将反复出现的任务从45分钟削减到5分钟。
Q3将对话进一步引入自动化和代理工作流程。 Propulse Lab是瑞士B2C订阅业务的操作系统，每年办理100万张支持票。 他们的队伍被困在消防而不是推动增长。 在Amazon快速Automate中部署多agent AI输油管后，根据他们过去最好的客户服务互动而建，他们将请求处理从7分钟缩短到70秒。 管道还自动化了80%的常规工作流程。
“成本中心曾经成为一个增长引擎 — — 他们的产品管理者现在拥有整个系统，而没有写出单一的代码线，他们的支持团队则专注于积极主动的、开动收入的对话。 ”
- Guirec Lecointre，增长业务专家，推进实验室
使用情况大不相同，实践者不但没有展示AmazonQuick的单一愿景，反而展示他们如何尝试解决实际的商业问题，这改变了房间里的对话。 出席者直接询问执行、收养以及什么无效。 发言者分享了最后解决办法背后的实际教训。 人们带着他们可以向自己的组织申请的想法离开，而不仅仅是另一个客户故事。
从发言到参与
列席者在三事变。 由Q3转化为建立有意义的关系。 人们对团体来说是新生的，对彼此来说是新生的。 到了Q2，破冰测试提前解开东西。 反馈会议也更加具体：人们要求讨论题目并表示愿意作出贡献，而不是“这是伟大的”。
Q3进一步推动了这一点。 Sofia Bourika早年加入领导团队，并在首场活动中讲述Arriva的顾客故事，我们已经有一位先前坐在观众席上的人，这种转变，从专心致志到献计献策，需要三个事件发生，但却发生了。 Q3也是推出新段，Amazon快速专家小组。 事先从听众那里收集了问题，并向一名受邀专家提出了问题，他给答案带来了真正的深度，并分享了与与会者的客户合作的第一手经验。 观众将专家的见解与日常挑战联系起来。
我们的社区一整年都保持着联系。 我们的LinkedIn集团每周都有捐款，我们的电子邮件清单鼓励参与。
行动的集体影响
感谢我们敬业的AWS合作伙伴Data Reformation，他们始终如一的贡献和思想领导
我们的联合王国领导团队带领我们达到了每一个里程碑：
Liam Yusuph, AI 和数据传输线索，数据回复
Priyanka Bettaswamygowda，解决方案建筑师，AWS
Sahar Shahbaz，数据分析员，数据答复
Sofia Bourika，领导 BI 开发者，Arriva
Tobi Daramola，卡尔萨高级数据和分析铅
Ali Hayat,AV支助协理，Amazon
Lam Phan, BI 开发者，AWS
Rikhi Singh,ADC工程师，AWS
Amazon 快速社区资源
Amazon快速社区网站拥有数万会员和数千个可搜索的问题。 它还提供600多个学习资源，与代理AI和AmazonQuick一起加速你的生产力。
“快速社区是共同学习和建立联系。 任何技能水平的用户都能找到帮助，我最爱的快速社区是如何真正帮助每个人。 揭示可能不会自己去探索，在那里你偶然碰到在项目上工作的人
- Kristin Mandia,AWS社区经理
学习机会包括每周大约两次免费在线直播，每月更新详细和先进的自动化课程，以及4小时的 " 模拟日 " 讲习班。 AWS解决方案架构师，产品管理员，以及主题专家活跃在平台上，可直接发送信息。 克里斯汀继续说，“ 人们跳进来帮助解决棘手的问题，分享他们聪明的工作，并尝试新的方法一起使用快速。 ”
关键外卖
这三个活动始终提出几个主题。
格式不断改变，因为我们听
Amazon Quick User Group UK运行在一套结构上：介绍，产品更新，客户故事，实践研讨会，以及反馈会话。 但我们每年都会调整，早前，我们在顾客故事之后，便有“What's New with Quick”部分，然后我们改用特写广告。 我们把“什么是新”，对于Q3，我们增加了一个交互式的测试，以获得更多的回转和4进房间。 出席者也呼唤了整体形式和节奏，以及迎接新人的机会。 正如一位首次出席者所说，“建立联系的机会是极好的。.....。 我完全享受这一天！”
客户现在，不是我们
每个活动至少有一位客户分享他们如何使用Amazon快速。 卡萨、阿里瓦、推进实验室以及其他几个客户在舞台上。 第一次事件之后，最清晰的饲料之一
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
Artificial Intelligence
How the UK Amazon Quick User Group grew in 2026
The Amazon Quick User Group – United Kingdom is a community of Amazon Quick users in the United Kingdom who meet quarterly to exchange knowledge, share best practices, learn through hands-on sessions, and discuss their experiences using the service. These user groups function as collaborative forums where members learn, connect, and innovate together.
Whether you’re already using Amazon Quick or just getting started, we’d love for you to join the UK Amazon Quick User Group and become part of a growing community that’s redefining how organizations make decisions with data. In this post, we’re thrilled to share our 2026 yearly roundup, highlighting all three quarterly meetups that have taken place since the group’s launch and the momentum that has followed. The events drew more than 150 attendees, and the energy in the room, fueled by agentic AI and the potential of Amazon Quick, was clear. Across industries, customers are using Amazon Quick to turn data chaos into faster decisions, higher satisfaction, and scalable growth. Their work spans real-time incident management, eliminating dashboard sprawl with governed data layers, and automating most support workflows with AI.
Why Amazon Quick user groups matter
The UK Amazon Quick User Group is a local community of Amazon Quick users who come together quarterly to share knowledge, best practices, and experiences with the service. Amazon Quick user groups serve as collaborative forums where members can:
- Learn and share – Exchange real-world insights about the capabilities of Amazon Quick, from interactive dashboards and data storytelling to agentic AI-powered automations and custom agents. Members share what works, what doesn’t, and new approaches that drive results.
- Network – Connect with regional professionals who are solving similar use cases with Amazon Quick for enterprise AI applications, data analytics, and workplace productivity.
- Problem-solve – Tackle challenges collaboratively by discussing solutions and use cases across different industries and business contexts.
- Stay updated – Get firsthand knowledge about new features, updates, and emerging best practices directly from peers and experts.
- Build community – Foster a local support network that complements the broader Amazon Quick community, with trusted contacts who understand UK market and business context.
Event overview
Over three quarterly meetups this year, the UK community spent real time with Amazon Quick. Not slide decks about it, actual time building with it. People created Amazon Quick custom chat agents for their teams without writing code. They tried Amazon Quick Desktop running on their own laptops, connected to local files and using a connector to access Outlook. They also used Amazon Quick Apps to turn a plain-language description into a working web application. The workshops had attendees automating processes with Amazon Quick Flows and Amazon Quick Automate, while Amazon Quick Research showed how it significantly cuts down the time spent on research. The Amazon Quick chat agent tied it together, an assistant that connects to tools, data and takes actions on your behalf. Every quarter, the sessions got more practical and the questions from the room got sharper.
What a typical event looks like
All three events were held at the Amazon UK Corporate Office in Shoreditch, London. By 9:45 AM, the room is already buzzing. People reconnect over coffee, swap updates from the last quarter, and newcomers get pulled into conversations before the day even officially begins.
From there, the energy carries through the full agenda: customers share real stories about what they’ve built with Amazon Quick, product leads walk through the latest updates, and panels spark the kind of back-and-forth you don’t get from a webinar. The 75-minute hands-on workshop is where it really comes alive, with attendees rolling up their sleeves in provisioned sandbox accounts and experimenting together. By the time we close with a feedback session, the room feels more like a working group than an audience.
The format has shifted each quarter. Q1 leaned more on introductions and demos because the group was meeting for the first time. By Q2, we added an icebreaker quiz, and ran a focused workshop on Quick Flows and automation. For Q3 we brought in a specialist panel, a group quiz, and a networking slot at the end. That last one came about because people were already staying behind to talk after the close, so we stopped packing up around them and put it in the schedule.
What customers shared
Customer stories have been part of the community from the start. Each speaker brought a different problem into the room, showing how teams are applying Quick in very different environments.
At the first event, the conversation centered on getting insight into the hands of the people who need it. At Arriva UK Trains, critical data wasn’t reaching the people who needed it most. Train and station managers were constantly on the move, relying solely on their work mobiles. Sofia Bourika’s team built dynamic, role-based dashboards with mobile-friendly views and introduced pixel perfect reports automatically delivered through scheduled email, giving managers immediate visibility of incidents and performance. The result: faster decisions, better incident management, and a stronger data-driven culture across the organization.
By Q2, the discussion had moved toward a different challenge: getting the foundations right before introducing more AI and automation. At Carsa, a used-car retailer, analytics functioned like a service desk. Question in, dashboard out. The same question gave different answers. It wasn’t a data problem. It was a definitions problem. Tobi Daramola’s team at Carsa fixed this by building a single governed data layer, with metrics defined once and consumed by Amazon Quick and AI assistants alike. As a result, they removed 50 percent of dashboards while surfacing more data. Customer satisfaction (CSAT) scores moved 10 percent in 30 days, complaints same-day close rate jumped 20 percent, and AI on the layer cut recurring tasks from 45 minutes to 5.
Q3 brought the conversation further into automation and agentic workflows. Propulse Lab, a Swiss operating system for B2C subscription businesses, was handling 1 million support tickets a year. Their teams were stuck firefighting instead of driving growth. After deploying a multi-agent AI pipeline in Amazon Quick Automate, built from their best past customer service interactions, they cut request handling from 7 minutes to 70 seconds. The pipeline also automated 80 percent of routine workflows.
“What was once a cost centre became a growth engine – their product managers now own the entire system without writing a single line of code, and their support teams focus on proactive, revenue-driving conversations instead.”
— Guirec Lecointre, Growth Operations Specialist, Propulse Lab
The use cases vary widely, and that’s exactly the point. Rather than presenting a single vision for Amazon Quick, practitioners show what they’ve tried against real business problems, from governed analytics and frontline reporting to automation and AI. That shifts the conversation in the room. Attendees ask direct questions about implementation, adoption, and what didn’t work. Speakers share the practical lessons behind the finished solution. People leave with ideas they can apply to their own organizations, not just another customer story.
From presentations to participation
Attendees changed across the three events. A listen-and-learn turned into building meaningful relationships by Q3. People were new to the group and new to each other. By Q2, the icebreaker quiz loosened things up early. The feedback sessions got more specific too: instead of “this was great,” people were requesting topics and offering to contribute.
Q3 pushes this further. Sofia Bourika, who joined the leadership team early on and presented the Arriva customer story at the first event, came up with an icebreaker called “What Are You Proud Of?”, attendees share something they’ve built with Amazon Quick. We’ve already got someone who was previously sitting in the audience volunteering to present their work. That kind of shift, from attending to contributing, took three events to happen, but it happened. Q3 also introduced a new segment, the Amazon Quick specialist panel. Questions were pre-collected from the audience and posed to an invited specialist, who brought real depth to the answers and shared first-hand experience of working with attendees’ customers. It sparked a different kind of thinking in the room, with the audience connecting the dots between the specialist’s insights and their own day-to-day challenges.
Our community stayed connected all year. Our LinkedIn group had weekly contributions and our email lists encouraged involvement.
Collective impact in action
A huge thank you to our dedicated AWS Partner, Data Reply, whose consistent contributions and thought leadership have been instrumental in making every UK user group meetup a success.
Our UK leadership team led us to reach every milestone:
Liam Yusuph, AI and Data Delivery Lead, Data Reply
Priyanka Bettaswamygowda, Solutions Architect, AWS
Sahar Shahbaz, Data Analyst, Data Reply
Sofia Bourika, Lead BI Developer, Arriva
Tobi Daramola, Senior Data and Analytics Lead, Carsa
Ali Hayat, AV Support Associate, Amazon
Lam Phan, BI Developer, AWS
Rikhi Singh, ADC Engineer, AWS
Amazon Quick Community resources
The Amazon Quick Community website has tens of thousands of members and thousands of searchable questions. It also offers over 600 learning resources on accelerating your productivity with agentic AI and Amazon Quick.
“The Quick Community is about learning together and building connections. It’s where users at any skill level can find help, learn something new, and meet others. What I love most about the Quick Community is how genuinely helpful everyone is. It’s a place that reveals possibilities you wouldn’t have thought to explore on your own, where you stumble into people working on projects and use cases, you’d never even think to ask about, and suddenly your world gets a whole lot bigger.”
— Kristin Mandia, Sr. Community Manager, AWS
Learning opportunities include approximately two free live online sessions per week, monthly feature update detailed and advanced automation sessions, and 4-hour Immersion Day workshops. AWS Solutions Architects, Product Managers, and subject matter experts are active on the platform and available for direct messaging. Kristin continues, “People jump in to help solve tricky problems, share their clever workarounds, and experiment with new ways to use Quick together.”
Key takeaways
A few themes came up consistently across the three events.
The format keeps changing because we listen
The Amazon Quick User Group UK runs on a set structure: an introduction, a product update, customer stories, a hands-on workshop, and a feedback session. But we’ve been adjusting it every quarter. Early on, we had the “What’s New with Quick” segment right after customer stories, and it broke the flow. People were engaged with how a real company was using the product, then we’d switch to feature announcements. We moved “What’s New” so the customer stories lead straight into the workshop, and the difference was noticeable. For Q3, we added an interactive quiz to get more back-and-forth going in the room. Attendees also called out the overall format and pacing, and the chance to meet new people. As one first-time attendee put it, “the networking opportunities were excellent… I thoroughly enjoyed the day!”.
Customers present, not us
At least one customer shares how they use Amazon Quick at each event. Across three events, we’ve had Carsa, Arriva, Propulse Lab, and a few other customers on stage. After the very first event, one of the clearest pieces of feed
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