微软若什么击败Salesforce?Office365、Azure、Dynamics365 全面布局AI | 双语

前台的货物数量(图片等加载缓慢)查询,先从redis缓存查询数据。

 

redis是一个nosql数据库,内存版数据库,读取速度11w/s。本身有内存淘汰机制,是单线程服务器(分时操作系统),线程安全。

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linux中redis安装(单机版):make;澳门美高梅手机网站 2;

微软当上月公布组建自己之 AI 研究小组。该小组集中了跨 5000
称作计算机科学家及工程师,加上微软中研讨机构,将齐掘进 AI 技术。

改也后台启动澳门美高梅手机网站 3

再者,亚马逊,Facebook,Google,IBM
还有微软一起公布成立一个非盈利组织「人工智能合作伙伴」。该团队将从为推动人工智能研究,树立开发新的人工智能技术则,以及提高民众对人工智能的认识。

查阅过程澳门美高梅手机网站 4

要是巨头们吧困扰以出了祥和的看家本领,Apple 的 Siri
利用自然语言处理来甄别语音指令;Facebook
的深浅上面部识别算法能够高效准确地辨别出人脸;Google
的「大脑」可能越来越聪明,而且能够设置于数百万安卓系统的配备上。


而隐形在 CRM 领域的对方之一 Salesforce
也宣称产了同样悠悠新的人为智能平台。还有 Amazon、Netflix 和 Spotify
都在强调使机器上了解什么跟客户建立联系。

虚拟机模拟redis集群的搭建:

近年来底人造智能领域如此炙手可热,就连微软的上位执行官纳德拉为涉,「将
AI 覆盖至具有世界,是为微软纪念如果兑现「AI
技术民主化」,从而化解全世界最为急迫的挑战。」

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因,微软将于以下四单分叉方向实现「AI 技术民主化」:

搭建步骤:

Agents. Harness AI to fundamentally change human and computer
interaction through agents such as Microsoft』s digital personal
assistant Cortana
1、助手。利用 AI 从根本上改变人机交互过程,如微软的数字个人助理
Cortana。

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Applications. Infuse every application, from the photo app on people』s
phones to Skype and Office 365, with intelligence

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2、应用平台。从走端的像 app 到 Skype,再到
Office365,每一个施用平台融入了 AI 技术。

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redis.conf,澳门美高梅手机网站 10

Services. Make these same intelligent capabilities that are infused in
Microsoft』s apps—cognitive capabilities such as vision and speech, and
machine analytics—available to every application developer in the world

复制7001,依次修改外的端口;

3、服务。让海内外每位应用开发者都能够博得同样的 AI 技术支持。如微软 app
中视觉与语音识别能力,机器分析能力。

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Infrastructure. Build the world』s most powerful AI supercomputer with
Azure and make it available to anyone, to enable people and
organizations to harness its power

签到集群:

4、基础架构。以 Azure 云为平台,构建强大的 AI
超级计算机,为公司和私提供该项服务。

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那么,微软日前出的几乎舒缓人工智能产品类似「姗姗来迟」,但在 AI
领域的重量而免能够小视,那么,微软以安布局 AI 呢?其旗下几乎可怜出品而都同
AI 有着什么的干?

翻开节点信息:

1、推出人工智能版 Dynamics365

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主机用于写入,从机用作备份;

晋级销售转化率,更好地理解客户行为,是今天倒、社交、云三者融合时期的雅背景下企业索要持有的最主要力量。

 存入的数经过CRC算法指定hash槽,指向磁盘空间位置;

千古几乎全面,CRM
领域持续传来人工智能利好的消息。如今,微软为于世人披露:在下月 1
日,将出人工智能版 Dynamics365,为销售人员提供云端商务应用解决方案。

填补加redis单机到集群:

该款产品以 ERP 与 CRM 进行整治并,打造成一个纯净的云端解决方案。

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本次产品的生产重点对的就是 CRM 领域占有主导地位的
Salesforce,而此前不久,Salesforce
刚刚推出了同一慢慢悠悠名叫吧「爱因斯坦」的人工智能云平台,能够为合作社客户提供对应服务。

丰富底且见面是master;

Microsoft has built in a couple of intelligence features into the
release designed specifically for sales and service personnel. First,
there is Customer Insights, a stand-alone cloud service, which
enables users to bring in a variety of internal and external data
sources. Companies can integrate all of this data with internal metrics
(KPIs) to drive automated actions based on the data. The
solution includes partner data from the likes of Facebook and Trip
Advisor (proving you don』t need to own an external data source to take
advantage of it).

重新分配存储空间:

微软推出的 Dynamics365
能够为销售人员提供以下几好像服务:一是客户洞察(Customer
Insights),一慢性单机云服务,帮助用户收集各内外部数据信息。

 ./redis-trib.rb reshard 192.168.74.132:7001  
表示重新分配7001所于的集群(注意)

商家能用装有数据及内指标(KPIs)进行集成,基于数进行自动化行为的使。这套解决方案还连了合作伙伴如
Facebook 和 Trip Advisor
上发出的大气数量,不过,这为证实了用户无论需借外部获取数据。

添加由节点:

It』s been designed as a stand-alone service that can work with any of
the Dynamics 365 CRM components—sales, customer service or field
service—and can also work with any external CRM tool with open APIs.
This last point is particularly telling because it』s giving customers
who might not be using Dynamics 365 (but are using other Microsoft tools
like Outlook) access to this feature.

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一方面,单机服务能跟 Dynamics365 CRM
的组成部件进行好好地配合,包括销售、客服或现场服务;另一方面,还会同其余一个带有开放
API 接口的表 CRM 工具进行兼容。

重给7008分红空间即可;

另外,单机服务还会啊无采取 Dynamics365,而是微软外工具如 Outlook
的客户,提供该项服务之水渠。


The second piece is called Relationship Insights, which as the name
suggests gives sales people information about the status of their
customer relationships at any given moment. It』s built on the on the
Cortana Intelligence Suite, which Microsoft introduced in 2015 and uses
tools like sentiment analysis to check on the likelihood of the deal
closing and the next best action to take.

  redis集群融入到事情受:

老二是涉及洞察(Relationship
Insights),为销售人员即便经常供客户关系信息。该服务因人工智能帮手小娜的平台拓展提供。这个智能帮手为去年在世上生产,通过感情分析检测交易完毕之可能性,并判断下同样步最佳实践方案。

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For now, know that Microsoft has consolidated its artificial
intelligence tools into a single, coherent division and just about every
vendor—not just those selling CRM—is trying to build some level of
intelligence into its products. Dynamics 365 is just the latest
manifestation.

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总的看,微软曾拿人工智能工具嵌入一个单身连贯的区域,而且不仅仅是 CRM
领域的供应商,基本上每个供应商且于拟用某种程度的智能技术嵌入到其制品遭。

存储到redis集群中的数量,会自由分配至中间一个redis中;

2、Office365 的私有分析服务

 spring整合jedis:

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 1 <!-- redis连接池 -->
 2     <bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig">
 3         <property name="maxTotal" value="2000"></property>
 4         <property name="maxIdle" value="20"></property>
 5     </bean>
 6     <!-- 创建集群对象 -->
 7     <bean class="redis.clients.jedis.JedisCluster">
 8         <constructor-arg name="nodes">
 9             <set>
10                 <bean class="redis.clients.jedis.HostAndPort">
11                     <constructor-arg name="host" value="192.168.66.66"></constructor-arg>
12                     <constructor-arg name="port" value="7001"></constructor-arg>
13                 </bean>
14                 
15                 <bean class="redis.clients.jedis.HostAndPort">
16                     <constructor-arg name="host" value="192.168.66.66"></constructor-arg>
17                     <constructor-arg name="port" value="7002"></constructor-arg>
18                 </bean>
19                 
20                 <bean class="redis.clients.jedis.HostAndPort">
21                     <constructor-arg name="host" value="192.168.66.66"></constructor-arg>
22                     <constructor-arg name="port" value="7003"></constructor-arg>
23                 </bean>
24                 
25                 <bean class="redis.clients.jedis.HostAndPort">
26                     <constructor-arg name="host" value="192.168.66.66"></constructor-arg>
27                     <constructor-arg name="port" value="7004"></constructor-arg>
28                 </bean>
29                 
30                 <bean class="redis.clients.jedis.HostAndPort">
31                     <constructor-arg name="host" value="192.168.66.66"></constructor-arg>
32                     <constructor-arg name="port" value="7005"></constructor-arg>
33                 </bean>
34                 
35                 <bean class="redis.clients.jedis.HostAndPort">
36                     <constructor-arg name="host" value="192.168.66.66"></constructor-arg>
37                     <constructor-arg name="port" value="7006"></constructor-arg>
38                 </bean>
39                 
40                 <bean class="redis.clients.jedis.HostAndPort">
41                     <constructor-arg name="host" value="192.168.66.66"></constructor-arg>
42                     <constructor-arg name="port" value="7007"></constructor-arg>
43                 </bean>
44                 
45                 <bean class="redis.clients.jedis.HostAndPort">
46                     <constructor-arg name="host" value="192.168.66.66"></constructor-arg>
47                     <constructor-arg name="port" value="7008"></constructor-arg>
48                 </bean>
49             </set>
50         </constructor-arg>
51         <constructor-arg name="poolConfig" ref="poolConfig"></constructor-arg>
52     </bean>

每当上月设的 Ignite 年度大会上,微软显得了 Office365 新的 AI
功能,覆盖了吧合作社供的核心产品。

透过JedisCluster的主意开展缓存的操作;

New smart features coming to Office 365 include Tap in Word and Outlook,
which aims to help workers reuse content already to be found in
corporate documents for new documents and emails.

获取数据后,添加缓存:

Office365 本身是同缓文档协作工具,但是通过 AI 升级后底 Office365
具有了以下一些特性:Tap in Word 和
Outlook,旨在帮助办公人员用铺文档中存活的情更用于新的文本以及电邮。

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Another is Quickstarter for PowerPoint and Sway, offering a faster way
to integrate text and images into presentations. Excel meanwhile will
gain a Bing Maps feature to visualize geographic data.

每当获取数据库数据前,先从缓存中落:

此外,Quickstarter for PowerPoint 和
Sway,能够更高效地以文件及图像集成及同一个演示文档中。同时,Excel
表格也上加了 Bing 地图功能,将地理数据开展可视化。

1 try {
2             String adJson = jedisDao.hget(INDEX_CACHE, categoryId+"");
3             if(StringUtils.isNotBlank(adJson)){
4                 List<AdItem> adList = JsonUtils.jsonToList(adJson, AdItem.class);
5                 return adList;
6             }
7         } catch (Exception e) {
8             e.printStackTrace();
9         }

Office 365 is also gaining the MyAnalytics personal analytics service,
formerly known as Delve Analytics, which Microsoft gained when it
acquired VoloMetrix last year.

缓存同步:

同,Office365 还上加了 MyAnalytics 个人分析服务(之前让称之为 Delve
Analytics),该服务重点是经去年对 VoloMetrix 的收买而来。

数据增长,修改,删除方法吃安清除缓存:

MyAnalytics provides a visualized breakdown of personal performance at
work, offering a snapshot of ‘meeting hours’, ’email hours’, ‘focus
hours’, and ‘after hours’. Users can also query the percentage of email
read by recipients and what time email was read to help workers optimize
the timing of email.

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MyAnalytics
将个人工作表现进行视觉化细分,如用「会议时」、「电邮时间」、「关注时间」等展开快照处理。用户还能够查询用户电邮的读取情况,从而帮助工作人员优化发送电邮的流年。

 

The main goal of MyAnalytics is to help workers manage how they
personally spend their time at work. However, it also has a social
component that, for example, shows response times to colleagues as well
as customers. Users can drill down into each category to discover how
much time was spent multi-tasking and assess whether it was time well
spent.

MyAnalytics
主要帮助职工中管理个人工作时。不过,这为包括社交时间,如能显得出对同事以及客户的响应时间。通过周密研究各个起职能,用户会发现以开展多任务时的耗时,评估时之采取是否妥善。

3、Azure 云融入 AI 技术

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除去应用程序和服务上展开人工智能技术的坐,微软还偷偷在该 Azure
云服务达到进行了定水准 AI 技术之融入。在过去底星星年里,微软早已当全世界五大洲
15 个国进行了常见数据基本的配备。

多年来,微软以爱尔兰且柏林的发布会称一旦以 Azure
云打造成为世界上率先缓人工智能超电脑(下称「超算」)。

“Ultimately the cloud is about powering the next generation of
applications,” he said. “It is always the next generation applications
that have driven infrastructure and when we look at this current
generation of applications that people are building, the thing that is
going to define these applications, that characterises these
applications, is machine learning and artificial intelligence. Therefore
we are building out Azure as the first AI supercomputer.”

纳德拉看,「云计算以最终主导下时使用,而下一代动将助长基础设备建设。目前来拘禁,定义及扶植这些以之是机器上和人工智能。因此,我们正力图将
Azure 云打造成第一慢慢悠悠 AI 超级计算机。」

「We made a major investment in PGAs [programmable gate arrays],」said
Microsoft』 Research engineer Doug Burger at the company』s Ignite
conference in Atlanta this week.「PGAs are programmable hardware. You
get the efficiency of hardware, but you also get the flexibility to
change your functionality on the fly. This new architecture that we
built effectively embeds an FPGA-based AI super computer into our old,
hyper-scaled cloud. You get compute, scale and efficiency. It will
change what is possible for AI.」

「我们当前当可编程门阵列 PGAs 上做了大量投入」,微软研究部工程师 Doug
Burger 提到,「PGAs
是同样缓慢而编程硬件。这样,你会快使用硬件,并能够灵活变动运作着之功力。

这种新的基础架构是拿基于 FPGA
的人工智能超算,有效嵌入至原始片超规模云端,从而在计算和扩展能力及效率展开升级换代。这将反人工智能的采取。」

「We now have FPGA support across every compute port of Azure,」said
Microsoft CEO Satya Nadella.「It means we have the ability through the
magic of the fabric of the network to distribute you machine learnings,
your deep neural nets to all of the silicon that is available so you get
back performance, that scale.」

纳德拉还关系,「现在,FPGA 可以支持 Azure
云平台的每个运算过程,这意味着我们发出能力通过结构网络,将机械上等深层神经网分发给所有的中芯片,通过
BPS 衡量计算机的性。」

微软连无是在打无把握之因

微软高层人士之一 Qi Lu
认为,想只要得到这会没有硝烟的仗,手中要得享五只为主元素:

Qi Lu is happy to make the case for Microsoft』s competitive advantage.
Lu is one of the dozen people on Nadella』s senior leadership team,
overseeing the company』s applications and service groups.

But to win, Lu says, a company needs five “key assets.” The first is a
“conversation canvas”—a place where people are doing lots of talking and
texting. Microsoft has Office, Outlook, Skype, and Cortana. The second
is that AI “brain”—a sophisticated mental model of the world. Microsoft
says its own AI efforts date back nearly 20 years. The third is access
to a social graph—people』s activity on the internet often involves
their friends and coworkers. Not coincidentally, a few days after I met
Lu, Microsoft announced it would spend $26.2 billion to acquire
LinkedIn, and its 433 million registered users.

一律是「会说话区域」,也尽管是众人能够进行大气攀谈和信息发送的地方。比如,微软今有矣
Office,Outlook,Skype 和 Cortana。

次凡 AI「头脑」,能够冲周围世界进行复杂的想模式。

其三凡是会获得社交图谱,因为人类在互联网及之位移频繁会跟情人与共事发生混合。正因如此,前一段时间,微软自败其中一个劲的竞争对手
Salesforce,以 262 亿美元购回
LinkedIn,目的是为博取其大气的登记用户资源。

季是吗人造智能研发要创立的平台。微软发生 Windows,Xbox 等一样名目繁多设备。

五是兼备一致批判强大的出组织,并且该团队愿意呢这起事业献身。

自然,微软拿眼光转向人工智能,与精对手争快资源,打得连无是随便把握的因。

眼前 AI 技术吧发肯定的局限性

While AI research has been going on for more than 60 years, the
technology is now at an inflection point, the panelists agreed. That has
happened because of three things: faster, more powerful computers;
critical computer science advances, mainly statistical machine learning
and deep learning techniques; and the massive information available due
to sensors and the Internet of Things.

尽管 AI 研究已不止了近乎 60
年,但是该项技术时仍是地处转折期。这至关重要根据三类事物之转移:更快又精的计算机;关键领域计算机是的进化,即机器上及深度上技术;以及根据传感器以及物联网环境下而收获到的大方音。

Teaching machines common sense, said LeCun. He gave the problem of text
translation as an example. The technology is far from perfect, he said,
because machines don』t have a deep understanding of the text they are
translating.

「Most of what we [humans] learned, we learned in the first few years
of life just by observing the world,」said LeCun.「And we don』t know
how to do that with machines, how to teach them to learn by observing
the world. This is one mountain we need to climb, but we don』t know how
many mountains are behind it.」

局限一:坐文字翻译啊条例,文字翻译技术时尚远不够完善,因为机器对所翻译下的文字内容并未生层次的感知能力。Facebook
AI 技术负责人 Yann LeCun
都提到,「人类所习得的大部知识要通过早年观测周围世界获取之。完全不知底哪些改造机器,教会机器通过观察世界开展学习。」

Technical challenges aside, another massive mountain to climb, says
Banavar, is how to deploy AI in the real world. That would have to
involve the point-of-view of not just tech developers, but also users
and policy-makers.「In environments where machines and humans are
interacting there』s got to be an element of trust,」he said.「That
trust building will take time.」

局限二:除去一个而且一个底技术挑战需要攻克,如何当现实世界对人工智能进行布置同样为是一个题材。及时肯定会面临技术开发人员、用户还是政治主任的震慑。

「在人机交互的条件受到,必然有信任的问题。这种信任的确立需要自然之岁月。」Banavar
提到。

Deploying AI systems in the real world will also include other
humanistic challenges, said Jeannette Wing, corporate vice president at
Microsoft Research. Her comments stemmed from the fiasco earlier this
year with Microsoft』s AI chatbot Tae, which got hacked and learned to
become racist and abusive, forcing the company to take it down within 24
hours. This was in the U.S. A similar chatbot in use in China since 2014
has been massively successful.

局限三:「在实事求是世界部署 AI
技术,同样还论及到外点人性之挑战。」
微软研究小组长官 Jeannette
Wing 提到。她提起这话题之基本点原因在于,今年上半年微软开出之平等慢性叫
Tae
的人为智能聊天机器人,因遭遇黑客攻击,结果经学习下说变得不行独具攻击性,这只能迫使微软公司于
24 小时以内将其下架。

倘相对来说,该款产品推介中国后也获得了特大的成。

总而言之,人类对人工智能的体味及支出要处于最好初级阶段。或许,在未来人类看到同一慢慢悠悠饱含智能特性的机器人,能够简化软件运行的复杂程度,并引导用户得到问题的缓解方案。

尽管手上是目标还非落实,但内心落来落实生产力的升官的想法不是免容许。(本文由国外媒体综合编译)

 

作者:T客汇 杨丽

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