人工智能
2026年英国Amazon快速用户集团如何成长。
Amazon快速用户组 — 英国是一个由Amazon快速用户组成的社区，他们每季度开会交流知识，分享最佳做法，通过实践会学习，并讨论他们使用服务的经验。 这些用户组是成员共同学习、联系和创新的协作论坛。
无论您已经使用Amazon快速还是刚刚开始，我们都很希望您加入英国的Amazon快速用户组，我们很高兴分享我们2026年的年度总汇，活动吸引了150多位与会者，由特效AI和Amazon快克的潜力所推动的房间里的能量是明确的。 跨行业，客户正在使用Amazon快将数据混乱转化为更快的决策，更高的满意度，可扩展的增长。 他们的工作跨度为实时事件管理，用受管数据层去除仪表板扩张，用AI实现大多数支持工作流程自动化。
Amazon 快速用户组为何重要
英国Amazon快取用户组是一个由Amazon快取用户组成的当地社区，他们每季度聚集一堂，与服务分享知识，最佳做法和经验。 Amazon 时速快速用户小组是合作论坛，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动力自动化和自定义agents. 以及推动结果的新方法。
- 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。
问题解决 — — 通过讨论解决方案和在不同行业和企业背景下使用案例，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 – 建立一个当地支持网络，以补充更广泛的Amazon快地社区，其信任的接触者了解英国的市场和商业环境。
活动概况
今年超过3个季度相聚，英国社区实时与Amazon快相聚。 不是滑行甲板，实际与它建立时间。 人们为自己的团队创建了Amazon快速自定义聊天agents而无需写出代码。 他们尝试用自己的笔记本电脑运行Amazon快取桌面，与本地文件相接并使用连接器访问Outlook. 他们还用Amazon快活Apps将平话描述变成工作网络应用程序。 参加讲习班的有Amazon快活和Amazon快活的自动化进程，而Amazon快活研究显示，削减如何显著地减少了研究时间。 Amazon 坐标快速聊天agent将其捆绑在一起，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，来自会议室的问题更加尖锐。
典型的事件是什么样子
这三项活动均在伦敦绍雷迪奇的Amazon英国公司办公室举行。 到了早上9点45分，房间已经响了人们通过咖啡重新连接，交换更新从最后一个季度，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共同打造的事物的真实故事，75分钟的实践工作室是它真正生机勃勃的地方，参与者在提供沙盒的账户上滚动出袖子，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，因为小组是首次开会。 到Q2时，我们增加了一个破冰测试，并开办了关于快流和自动化的有重点的讲习班。 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已经留下来了在关闭后交谈，所以我们停止了包装并把它放在时间表。
客户分享的东西
顾客故事从一开始就是社区的一部分。 每位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，关键数据并没有送达最需要的人。 火车和站台管理人员经常行动，只依靠工作机动。 Sofia Bourika的团队搭建了充满活力，基于角色的仪表板，并带有便于移动的视图和推出像素完美报告，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由数据驱动的文化。
到了问题2，讨论已经走向另一个挑战：在引入更多AI和自动化之前，把基础弄好。 在Carsa，一个废旧汽车零售商，分析功能像服务台。 问讯，仪表板出。 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，同时冲出更多的数据。 客户满意率(CSAT)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分削减到5分。
Q3将对话进一步引入了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，每年处理100万张支持票。 他们的队伍被困于消防而非推动增长。 在Amazon快取Automate中部署多agent AI管线后，由他们过去最好的客户服务互动而来，他们将请求处理从7分削减到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不写出单一的代码线，他们的支持团队则专注于积极主动的、开动收入的对话。 ”
- 吉雷克·莱克恩特雷，增长业务专家，推进实验室
使用情况大相径庭，实践者不但没有展示AmazonQuick的单一愿景，反而展现了他们针对实际商业问题，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
参会者在三事变。 由Q3变成建立有意义的关系。 人们对这个团体是新人，对彼此是新人。 到了Q2，破冰者测试提前放松了东西。 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很早就加入领导团队，并在第一次活动上介绍了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，历经了三起事件，但却发生了。 Q3还推出是一款新的机段，Amazon快取专家小组。 事先从听众那里收集问题，并向一位受邀专家提出问题，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
非常感谢我们敬业的AWS合作伙伴Data Reference，他们始终如一的贡献和思想领导，在使每个英国用户群体聚集一堂方面都发挥了至关重要的作用。
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，大赦国际和数据传送领导，数据答复
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，高级数据和分析铅，Carsa
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快通社区网站拥有上万会员和上千个可搜索的问题。 它还提供600多条学习资源，用代理AI和Amazon快来加速你的生产力。
“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在此找到帮助、学习新知识并结识他人。 我最喜欢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，在那里你偶然发现在项目上工作的人
- 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 " 融合日 " 讲习班。 AWS解决方案架构师，产品管理员，以及主题专家都在平台上活跃并可供直接发送消息。 Kristin继续说，“ 人们跳进来帮助解决棘手的问题，分享他们的聪明工作，并尝试新的方法一起使用快车。 ”
钥匙外卖
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。 但我们每年都会调整，早些时候，我们在顾客故事之后，便有“What's New with Quick”节目，民众都关注真正的公司如何使用产品，我们把“什么是新”，对于Q3，我们增加了一个互动的测试，以获得更多的回转和回转进入房间。 出席者还喊出总体形式和节奏，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。.....。 我很享受这一天！”
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。 在三起事件中，第一次事件之后，一条最清晰的饲料
本文由 AI宝库自动抓取并翻译，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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