Google、微软、Linkedln、Uber、亚马逊等15+海外技术专家聚首2018TOP100Summit

11月30日-12月3日，由msup主办的第七届全球软件案例研究峰会（以下简称为TOP100Summit）将在北京国家会议中心举办。本届峰会以“释放AI生产力，让组织向智能化演进”作为开幕式主题， 4天的干货分享，18个主题方向，100+精选案例，旨在帮助高端IT从业者，解决平时无法解决的技术问题和疑惑，提升工作效率，实现技术认知上的提升，掌握本年度最前沿的科技。

此次大会我们不仅邀请了数百位国内知名大厂专家，还邀请了Google、微软、Linkedln、Uber、亚马逊、Zillow、GitLab、Hulu等17位海外一线技术大牛，共同为我们讲述他们的探索和发现与实践心得。现在大会正在紧锣密鼓的筹备阶段，让我们共同来看看海外讲师将为我们带来哪些优秀案例。

以下是海外讲师简介及案例主题：

演讲时间：

12月1日 13:30-14:30

演讲简述：

Many companies are focused on creating or transitioning to a microservice architecture. I will explain how this journey went for a top-tier video service & also a major games studio, and show the many advantages we found. In one company we successfully created 800+ services optimized around functionality, delivery speed and organizational structure. We won the microservices war!
However, getting there was only half the battle. Operating and evolving such significant systems reveals many challenges we hadn’t fully prepared for: monitoring and root cause analysis, cascading failures and scaling for major events are just some. We explain how you can use our learnings to avoid common pitfalls when working with microservices, and reveal what we would do differently if we could wind back the clock.

演讲时间：

12月2日 13:30-14:30

演讲简述：

In this talk, I will introduce how Google is able to integrate open-sourced data processing frameworks such as Hadoop and Spark within the entire cloud platform. We will go through details of service components and ways to best integrate the frameworks into cloud ecosystem. We will also discuss improvements and features that would bring the best of Hadoop/Spark and cloud to achieve optimal performance.

演讲时间：

12月3日 10:00-11:00

演讲简述：

As we transform LinkedIn to a place where members form communities around the things that matter most them, hashtags are foundational in enabling members to express what they want to talk about and find others who share the same interests. Hence it becomes imperative for us to improve LinkedIn’s Hashtag infrastructure by heavily investing in relevant domains such as personalization and recommendation, search vertical, feed serving stack, content filtering and SPAM/ Low-quality detection.

演讲时间：

12月1日 15:50-16:50

演讲简述：

广告系统中，有很多需要实时解决的问题。对于Pinterest这样月活2.5亿，图片量100B的平台来说，这些问题是什么？解决起来又有哪些挑战？希望通过本次分享，能够对具有相同情况的朋友起到抛砖引玉之效。

演讲时间：

12月1日 10:00-11:00

演讲简述：

Effective communication is one of key skills for any leaders. No matter what your role is, you are consistently communicating with the key stakeholders around you. Every communication is different depending on the goal and audience. It’s really important to get the communication right to get the right outcome. In this talk, we’ll discuss how we can make effective communication with storytelling.

演讲时间：

12月3日 11:00-12:00

演讲简述：

This talk tries to give an insider’s perspective on how Slack became the fastest-growing business application in history. 
●What is unique about Slack’s growth model that enabled this hyper growth? How has this model changed over time? 
●How does Slack organize growth teams? What kind of people do we hire? 
●What kind of growth strategies and tactics did Slack focus on at different stages of the company? What are the lessons learned?

演讲时间：

12月1日 15:50-16:50

演讲简述：

The talk intends to:
1.Share the benefit of building for diverse customer segments
2.Discuss principles to apply in different stages of the product development and real-life examples: 
a.In product definition/design phase – how you should frame the customer problem with inclusiveness in mind to provide best solution
b.In development phase – how to incorporate inclusiveness thinking into process and coding practices
c.In general – how we should think about user research and how to incorporate user feedback 
3.Share learnings on how to embrace diversity helps foster a healthy team dynamics.

演讲时间：

12月2日 9:00-10:00

演讲简述：

We have built a Conversational AI that understands the business metrics a users asks, fetches the data from different databases, join multiple sources together if needed, generates meaningful visualizations to help the user navigate insights from the data, and all of these processes happen on the fly instantaneously. This largely reduces the time we spent on finding the right data sources, learning the join keys, understanding the exact formulas needed to calculate a KPI, etc. All of this was realized using different types of Microsoft products and can be applied to any company, or any different domains.
We have been building a platform where any team can onboard their own data into the system, define the business scenarios they have, and the platform will take care of the rest: generating synthetic data to train the NLP model, generating scripts for visualization, getting connected to the UI/application that the user wants to use to ask questions.

演讲时间：

12月1日 11:00-12:00

演讲简述：

GitLab is an application for the entire DevOps lifecycle. We entered the portfolio management market in late 2017 with a new product category. By leveraging a unique process of having customers embedded in our DevOps lifecycle, we were able to ship the feature in one month with a small team, and attract customers to this new offering in our new highest tier offering at over 1000 USD per user.

演讲时间：

12月2日 10:00-11:00

演讲简述：

Traditionally, web applications have been developed in a single programming language and code that is built, deployed and scaled as one (probably large) “monolithic” unit. More recently, engineering teams are moving away from monolithic applications and turning to microservices. Microservice architectures allow teams to independently develop and deploy smaller software services (even in different programming languages) that are easier to understand and safer to modify. These smaller services integrate with each other not by code compilation but rather by sending remote procedure calls (using, for example, REST or gRPC) at runtime. As a result, microservice architectures have many more runtime dependencies and interconnections. These interconnections present new challenges for software testing. In this talk, we will discuss various techniques for unit and integration testing when using microservice architectures. Instead of making extensive use of interfaces and mock or stub objects.

演讲时间：

12月3日 14:30-15:30

演讲简述：

From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses machine learning and data-driven analytics to create seamless trip experiences.
Inside Uber, big data and machine learning are spread everywhere. Analysts and Engineers would like to run real time analytics with deep learning models. While, copy data from one source to another is pretty expensive. It is challenging to support real time analytics with deep learning.
This talk will share Uber’s engineering effort, supporting real time analytics with deep learning on the fly, without any data copy. We will start with our big data and deep learning infrastructure, specifically Tensorflow, Hadoop, and Presto. Then we will talk about how Uber used Tensorflow as deep learning engine, and Presto as the interactive SQL engine. We will focus on how Uber built Presto Tensorflow Connector from scratch, to support real time analytics on deep learning. Finally, we will share our production experien.

演讲时间：

12月1日 16:50-17:50

演讲简述：

亚马逊作为一个靠电商起家，经过二十多年发展成为一个背靠电商，AWS，Alexa的综合创新型公司。正是亚马逊核心文化中的领导力原则(Leadership principle)让亚马逊保持着持续创新的动力，拥有较高的用户满意度，撑起了将近万亿的市值。我将会结合Alexa团队以及自身的故事，逐一剖析拆解亚马逊的14条领导力原则。是怎样的运转机制，让亚马逊从上到下每一个团队如同一个个小的创业公司，高效的前行。

演讲时间：

12月1日 10:00-11:00

演讲简述：

本次分享主要介绍，LINE全球團隊每天都在使用的內部軟件發布系統其架構演進的過程，最新的進展是轉變為容器化架構。那，當初為何決定走向容器化？途中有沒有遇到什麼問題？如何解決？將是分享之重點。

演讲时间：

12月2日 10:00-11:00

演讲简述：

Spotify 作为世界用户量最多的的付费音乐流媒体公司, 这几年一直转型通过运用大数据+小数据的方法提升产品和体验。在2017如何改版免费用户端产品提升歌单，个性化推荐取得巨大的留存率提升的。如何通过不断的设计和AB测试改造电脑客户端产品、设计系统和品牌的提升来drive其他平台的使用的。
通过组织架构调整(DPI)适应高速的数据需求。

演讲时间：

12月1日 9:00-10:00

演讲简述：

如何从0到1实现一个高可用的系统，解决实际的Uber for Business业务问题。通过具体的项目需求和系统架构，包括支付系统，账单系统， Policy系统来分析如何end to end完成这些系统。

演讲时间：

12月2日 14:30-15:30

演讲简述：

自动补全和自动建议是搜索领域里重要的议题。智能的自动补全和自动建议可以帮助用户快速表达搜索意图。这一点在用户搜索越来越多地从桌面设备转向移动设备这一趋势下越来越重要。这个报告侧重房地产搜索这一垂直领域。

演讲时间：

12月1日 11:00-12:00

演讲简述：

本分享来自于Google的产品经理。从智能化产品管理的新挑战出发，阐述了在AI时代，产品经理需要哪些新技能，如何成功定义一个好的智能产品。

除以上众多海外案例之外，小米、知乎、Google、BAT等知名大厂讲师也将出席大会，现TOP100大会日程（100+案例实践）已全部出炉，如果你不想错过这次宝贵的交流机会，就快来报名吧！

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