地点:第二会议厅

专题:主题演讲

by 来鑫

迅雷链
总工程师

作为一项底层技术,区块链火爆的速度超乎所有人的想象。2018将进入区块链的应用年,每个人都知道区块链是决胜未来的关键。它能和互联网一样,改变众多传统行业的运行模式,它也能与人工智能、物联网等新兴技术,碰撞出变革的火花。巨头、创业者、投资者……所有人都正在思考区块链的突破口,但还没有人找到开启神圣之门的钥匙。不过,能够肯定的是,在多方尝试的量变中,区块链正经历着由野蛮生长到多元发展的质变。

我们也可以预见,区块链技术本身的进化,将给予开拓者更大的机会和空间;行业标准的进一步整合明晰,会为市场发展做好铺垫;而新的具有高度成长性的区块链平台,更将引领区块链未来的方向。在这样的大趋势中,迅雷作为中国区块链应用的先行者和少数在大众层面取得成功的企业,将为大家分享其对行业的深度思考,以及在区块链领域的未来布局。

by 臧秀涛

InfoQ
QCon大会主编

by Georges Saab

Oracle
Java平台事业群VP

作为应用最普遍的技术之一,Java不断给我们周边的应用世界带来创新。通过不断地引入现代化特性,Java为开发者提供了一个符合时代要求的语言和平台,支持创建下一代丰富、可伸缩和安全的企业级应用。随着技术领域的变化,Java也做好准备,将以更快的节奏,持续提供新特性,解决新机遇下的需求。

在本次演讲中,Saab先生会重点分享Java将如何以更快的节奏持续增强,帮忙开发者改进和加速应用点创新、开发和部署,特别是在云环境下如何做到这些。

 

As one of the most pervasively used technologies in our lifetime, Java continues to innovate the application world around us. Through continued modernization Java offers developers a contemporary language and platform to create the next generation of rich, scalable, and secure enterprise applications.  And as the technology landscape changes around us, often times at an ever-more increasing pace, Java is primed to offer developers continued uniqueness to address new-found opportunities.  In this keynote, recognized Oracle leaders will highlight ongoing Java technology enhancements occurring with a faster cadence allowing developers the ability to improve and accelerate application innovation, development and deployment especially for the the cloud.

by Neal Ford

ThoughtWorks
总监,《卓有成效的程序员》作者

在IT界,唯一不变的就是变:业务实践在变,工具和框架在演进,全新的工具和技术不断涌现。

在这样的环境中,开发者应该如何开发和架构系统呢?

本次演进将分享应对不断发生的变化的技术,包括演进式架构、不可变基础设施、编码技术,以及更好地收集需求的方法。

我还将分享治理模型,演进式数据和适应性。

本次演进会尽可能广地涵盖现代软件开发,并就如何拥抱变化,而非避免变化,提供一些建议。

 

The only constant in IT is change: Business practices change, tools and frameworks evolve, and wholly new tools and techniques appear on a regular basis. How can developers develop and architects architect in an environment like this? This keynote highlights techniques to support constant change, including evolutionary architecture, immutable infrastructure, coding techniques, and better ways to gather requirements. I also cover flexible governance models, evolutionary data, and adaptability. This keynote covers the breadth of modern software development, packed with advice on how to build systems that embrace rather than avoid change.

by 俞军

滴滴
产品高级副总裁
产品经理的发现和成长
所属领域: 产品

by Jun Rao

Confluent
联合创始人,Kafka作者之一
Apache Kafka的过去,现在,和未来
所属领域: 大数据、 架构、 新零售、 Apache Kafka

2010年,LinkedIn开始开发Kafka。2011年,Kafka成为Apache开源项目。从那以后,Kafka的使用在各种企业中迅速增长。目前,超过30%的世界500强公司已经在使用Kafka。本次演讲会先介绍为什么Kafka最开始成为一个非常受欢迎的发布订阅消息系统。接着会介绍Kafka近期增加的企业级功能。最后会介绍未来如何把Kafka建成实时流数据处理平台。

 

Kafka was originally developed at LinkedIn in 2010. Since it became an Apache project in 2011, it has been adopted rapidly by various enterprises across industries. Currently, more than 30% of Fortune 500 companies are using Kafka. In this talk, I will first explain what made Kafka attractive as a pub/sub system initially. Then, I will describe additional features that we have developed for enterprise usage. Finally, I will talk about our vision of making Kafka a streaming data platform.

by 李康

360
网络安全北美研究院负责人,IoT安全研究院院长

深度学习引领着新一轮的人工智能浪潮,受到工业界以及全社会的广泛关注。随着深度学习系统在各个领域的逐渐推广,人工智能系统中的安全问题也渐渐暴露出来。360安全团队对深度学习系统及应用的分析在2017年发现了多种漏洞,包括前一段时间公开的深度学习平台框架的漏洞。但对人工智能系统的攻击和深度学习系统的潜在风险远远不只是平台和框架上的漏洞问题。

此次演讲将全面讲述框架攻击之外的多种针对深度学习系统的攻击方式,涵盖深度学习系统的数据流和控制流,涉及深度学习图像识别等多种应用。此次演讲希望通过展示这些攻击的风险,提醒公众在期待人工智能应用的同时关注系统实现的安全问题。呼吁开发人员对深度学习应用及其实现本身的安全给予足够的重视。

by Mark Billinghurst

CEO of Envisage AR Limited, Christchurch, New Zealand
Director of the Empathic Computing Laboratory

Augmented Reality (AR) was first developed in the 1960's, but it was not until 10 years ago that the technology began to become mainstream. Today, anyone with a mobile phone can have an AR experience and many manufacturers are bringing AR capable head-mounted displays to market. This presentation provides a brief review of this past history and then describes where the technology may be headed in the near future. A number of research technologies that will also become mainstream will be described, as well as important directions for future research. Examples will be shown from some of the leading AR research groups worldwide.

by Mads Torgersen

微软
C#编程语言Program Manager

自诞生以来,C#大部分时间都是微软的专有语言,仅支持Windows,只有Visual Studio一款IDE。不过时代已经变了。C#从设计到实现都已经开源,几乎能运行在各种平台上。编译器变成了开放API,可以实时理解和生成C#代码,可以支持任何我们喜欢的代码编辑器。这背后发生了什么呢?我们一起看看,对C#而言,开放到底意味着什么?

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