【數(shù)據(jù)觀注釋】：Qubole，創(chuàng)立于2012年，是一家基于云端提供大數(shù)據(jù)DaaS服務(wù)的大數(shù)據(jù)開(kāi)發(fā)公司。Qubole基于真正的自動(dòng)擴(kuò)展Hadoop集群，從而使客戶能夠在云端整合分析大數(shù)據(jù)。

“The interesting question,” he writes, “is where will the focus be. I expect to see an uptick in streaming data analytics, as businesses try to leverage real-time information to make smart decisions in areas like customer support, marketing, fraud detection and upselling customers.” Also seeing growth will be ad hoc analytics as the “democratization of data” continues its relentless march.

“有趣的是，焦點(diǎn)在哪里還不得而知。我預(yù)計(jì)，隨著企業(yè)利用實(shí)時(shí)信息在客服、營(yíng)銷、欺詐檢測(cè)和推銷等領(lǐng)域做出智能決策的嘗試越來(lái)越多，流媒體數(shù)據(jù)分析將出現(xiàn)增長(zhǎng)。隨著“數(shù)據(jù)民主化”的持續(xù)推進(jìn)，數(shù)據(jù)分析也將出現(xiàn)增長(zhǎng)。

②

2018 was “the year of the data catalog,” declared Alation. That trend shows no sign of letting up, as organizations continue with the ongoing struggle to inventory their data assets for the purposes of monetization and regulatory compliance. As 2019 begins in earnest, keep room in your catalog for a particular type of data: behavioral metadata.

“2018年是數(shù)據(jù)編錄之年”Alation公司宣稱，編錄數(shù)據(jù)這一趨勢(shì)沒(méi)有減弱的跡象，因?yàn)楦骷壹瘓F(tuán)仍在努力盤(pán)存其數(shù)據(jù)資產(chǎn)，以便實(shí)現(xiàn)數(shù)據(jù)貨幣化和執(zhí)行標(biāo)準(zhǔn)。隨著2019年正式開(kāi)始，請(qǐng)?jiān)谀哪夸浿袨樘囟愋偷臄?shù)據(jù)——行為元數(shù)據(jù)留出空間。

【數(shù)據(jù)觀注釋】：Alation，創(chuàng)立于2012年，是一家企業(yè)數(shù)據(jù)編錄服務(wù)提供商。他們提供了允許企業(yè)利用軟件為其數(shù)據(jù)提供單一訪問(wèn)通道的軟件，幫助企業(yè)數(shù)據(jù)庫(kù)建立索引、商業(yè)智能工具以及文件系統(tǒng)，以簡(jiǎn)化數(shù)據(jù)搜索，也會(huì)自動(dòng)爬取，解析和索引所有數(shù)據(jù)和數(shù)據(jù)的使用日志。

“Analysis of this data can be mined to better shine a spotlight on what’s used and what’s useful,” writes Aaron Kalb, the VP of design and strategic initiatives and co-founder of Alation. “This is the same insight that drove Google Search’s ranking prowess two decades ago: the content of a webpage was less predictive of its utility than how often other pages — built by other people — linked to it. As the ML/AI buzz continues to wear thin, we’ll see a strong appetite emerge for this type of impact-driven technology and behavioral metadata among organizations.”

“這些數(shù)據(jù)分析可以被挖掘出來(lái)，以便人們更好地了解數(shù)據(jù)使用情況和有用程度，”Alation的聯(lián)合創(chuàng)始人、設(shè)計(jì)與戰(zhàn)略行動(dòng)副總裁亞倫·卡爾布(Aaron Kalb)寫(xiě)道。這與20年前推動(dòng)谷歌搜索排名的觀點(diǎn)是一樣的：網(wǎng)頁(yè)內(nèi)容對(duì)其實(shí)用性的預(yù)測(cè)性較差，不如其他頁(yè)面(由其他人創(chuàng)建)鏈接到它的頻率高。隨著ML/AI（機(jī)器學(xué)習(xí)/人工智能）的熱度持續(xù)減弱，我們將看到企業(yè)對(duì)這類影響驅(qū)動(dòng)技術(shù)和行為元數(shù)據(jù)產(chǎn)生濃厚的興趣。

③

Despite the progress in AI and machine learning, we still won’t have self-driving cars, according to Lexalytics CEO Jeff Catlin.

Lexalytics的首席執(zhí)行官杰夫?卡特林(Jeff Catlin)表示，盡管人工智能和機(jī)器學(xué)習(xí)取得了進(jìn)展，但我們?nèi)圆粫?huì)擁有自動(dòng)駕駛汽車。

【數(shù)據(jù)觀注釋】Lexalytics，文本分析開(kāi)發(fā)商。其文本分析平臺(tái)可將數(shù)十億個(gè)非結(jié)構(gòu)化數(shù)據(jù)和在線信息轉(zhuǎn)換為對(duì)公司的可行性見(jiàn)解。

“Self-driving cars are getting better-0, enough that prototypes are trusted on the roads in California, Singapore and even Western Australia,” Catlin writes. “But while humans have been at fault in the overwhelming majority of accidents involving autonomous vehicles, self-driving cars still have some kinks to iron out. From ‘seeing’ lane markers in snowy conditions to making judgment calls about whether to save a pedestrian or a driver to detecting kangaroos on the road, the technology still hasn’t quite figured out how to handle all of the decision-making required when you’re in traffic.”

卡特林寫(xiě)道：“自動(dòng)駕駛汽車正變得越來(lái)越好，好到足以讓人們放心乘坐著自動(dòng)駕駛的雛形汽車行駛在加州、新加坡甚至西澳大利亞的道路上。盡管人類在絕大多數(shù)涉及自動(dòng)駕駛汽車的交通事故中有過(guò)錯(cuò)，自動(dòng)駕駛汽車仍有一些亟待解決的問(wèn)題——從雪天情況下識(shí)別車道標(biāo)志，到判斷是該救行人還是該救司機(jī)，再到在路上偵測(cè)袋鼠的出出沒(méi)……這項(xiàng)技術(shù)還沒(méi)有完全智能到可以在交通過(guò)程中自行判斷需要做出的決定。”

④

Privacy will emerge as a top priority at the national level according to the folks at Immuta, a Wasington D.C.-area company that develops software aimed at boosting privacy in AI.

隱私問(wèn)題將成為國(guó)家層面的頭等大事。華盛頓特區(qū)Immuta的工作人員說(shuō)，該公司開(kāi)發(fā)的軟件旨在提高人工智能的隱私。

【數(shù)據(jù)觀注釋】Immuta，美國(guó)數(shù)據(jù)服務(wù)提供商，成立于 2014 年。他們致力于為數(shù)據(jù)管理員提供高效的數(shù)據(jù)隱私保護(hù)和管理服務(wù)，值得一提的是，Immuta 軟件的兼容性非常好，可以部署在任何基礎(chǔ)設(shè)施上，無(wú)論是現(xiàn)場(chǎng)服務(wù)器配置，還是在共有云或私有云端應(yīng)用，甚至兩者混搭使用。

“We expect privacy to increase in importance in the new year, highlighting current efforts to create a single, national privacy standard in the U.S.,” the company tells Datanami. “Given the impact the E.U.’s GDPR has had on how U.S. and global companies operate, this won’t catch all companies off guard, but it will increase the impacts that privacy issues have had – and will continue to have – on businesses’ bottom lines.”

“我們預(yù)計(jì)隱私問(wèn)題在新的一年里將變得越來(lái)越重要，這突顯出美國(guó)目前正在努力創(chuàng)建一個(gè)統(tǒng)一的國(guó)家隱私標(biāo)準(zhǔn)。考慮到歐盟通用數(shù)據(jù)保護(hù)條例（GDPR）對(duì)美國(guó)和全球公司運(yùn)營(yíng)方式的影響，雖然不至于讓所有公司措手不及，但會(huì)增加現(xiàn)有及或?qū)a(chǎn)生的隱私問(wèn)題對(duì)企業(yè)底線的影響?！?/p>

⑤

We could even see new data privacy regulations proposed and enacted, foresees Adrian Moir, a senior consultant in product management at Quest Software.

Quest Software的產(chǎn)品管理高級(jí)顧問(wèn)阿德里安?莫爾(Adrian Moir)預(yù)測(cè)，我們甚至可以見(jiàn)證新的數(shù)據(jù)隱私條例擬議和頒布。

【數(shù)據(jù)觀注釋】Quest Software，成立于1987年，是業(yè)界領(lǐng)先的應(yīng)用管理解決方案供應(yīng)商。致力于通過(guò)改善企業(yè)關(guān)鍵應(yīng)用的性能和可用性，降低其運(yùn)行成本，幫助 IT 專業(yè)人員高效率地完成關(guān)鍵業(yè)務(wù)數(shù)據(jù)和數(shù)據(jù)庫(kù)的管理工作。

“Whether affected by GDPR or not (most are), companies should be looking to it as a framework, it’s a good starting point for those building out their processes,” Moir writes. “It’s important to have something set-up for how data is kept and used. If we want to continue to have personal information protected, we will need to have more regulation. Next year, I believe we’ll see more regulation proposed and/or put in place, like the Consumer Data Privacy Act recently introduced by Oregon Sen. Ron Wyden.”

Moir寫(xiě)道:“不管是否受到GDPR的影響(盡管大多數(shù)都受其影響)，企業(yè)都應(yīng)該把它視作一個(gè)框架，對(duì)于那些構(gòu)建流程的人來(lái)說(shuō)，這是一個(gè)很好的起點(diǎn)。為數(shù)據(jù)的保存和使用建立適當(dāng)機(jī)制是相當(dāng)重要的，如果我們想繼續(xù)保護(hù)個(gè)人信息，我們需要更多監(jiān)管。明年，相信我們會(huì)看到更多監(jiān)管提案/或者實(shí)施，就像俄勒岡州參議員羅恩·懷登(Ron Wyden)最近提出的《消費(fèi)者數(shù)據(jù)隱私法》(Consumer Data Privacy Act)。”

⑥

In late 2018, we witnessed a backlash against cloud vendors by open source software vendors. In 2019, tensions between the two parties will continue to simmer, predicts, Karthik Ramasamy, the founder of Streamlio and creator of the open source Heron streaming analytics platform at Twitter.

在2018年底，我們目睹了開(kāi)源軟件供應(yīng)商對(duì)云計(jì)算供應(yīng)商的強(qiáng)烈反對(duì)。據(jù)Streamlio創(chuàng)始人、Twitter開(kāi)源流媒體分析平臺(tái)Heron創(chuàng)始人卡蒂克?拉馬薩米(Karthik Ramasamy)預(yù)測(cè)，到2019年，這兩者之間的緊張關(guān)系將繼續(xù)升溫。

【數(shù)據(jù)觀注釋】Streamlio，一家美國(guó)初創(chuàng)公司，主要業(yè)務(wù)是提供下一代端到端的實(shí)時(shí)處理解決方案，致力于打造世界上第一個(gè)企業(yè)級(jí)的端到端實(shí)時(shí)數(shù)據(jù)處理平臺(tái)。

“The fear has only grown that big cloud providers will undermine open source communities and vendors by launching their own closed cloud services based on open source without contributing back to those communities,” Ramasamy writes. “However, there are signs in these recent moves that big vendors are taking a nuanced approach—in some cases working to co-opt open source to the ecosystem’s detriment while in other cases supporting vibrant open source ecosystems. For instance, the recently released Amazon Managed Streaming for Kafka (Amazon MSK) is likely to have negative repercussions for the Apache Kafka ecosystem even as Amazon’s open source Firecracker aims to establish an open source community and ecosystem around it. This trend will accelerate in 2019 and beyond, and the extent to which these companies act as ‘good citizens’ within open source will bear watching.”

Ramasamy寫(xiě)道:“越來(lái)越多的人擔(dān)心大型云服務(wù)提供商會(huì)破壞開(kāi)源社區(qū)和供應(yīng)商，因?yàn)樗鼈儠?huì)推出自己的基于開(kāi)源的封閉云服務(wù)，而不會(huì)對(duì)這些開(kāi)源社區(qū)做出任何貢獻(xiàn)。然而，在他們近期的舉動(dòng)中，有跡象表明，大型供應(yīng)商正在采取一種微妙的方式——某些情況下，他們一方面試圖利用開(kāi)源來(lái)?yè)p害業(yè)內(nèi)生態(tài)系統(tǒng)，而另一邊，他們卻支持著生機(jī)勃勃的開(kāi)源生態(tài)系統(tǒng)。例如，最近發(fā)布的Amazon管理流媒體可能會(huì)對(duì)Apache Kafka生態(tài)系統(tǒng)造成負(fù)面影響，盡管Amazon的開(kāi)源平臺(tái)Firecracker旨在圍繞它本身建立一個(gè)開(kāi)源社區(qū)和生態(tài)系統(tǒng)。這一（惡性）趨勢(shì)將在2019年及以后加速，因此這些公司在開(kāi)源領(lǐng)域扮演‘好公民’角色的情況，值得我們關(guān)注?！?/p>

⑦

Amazon has been slowly creeping into other ventures, including healthcare, grocery stores, and newspapers. Don’t be surprised if Amazon makes a big acquisition in 2019 that impacts how enterprise software is developed, says Reid Christian of CRV, a venture capital firm.

亞馬遜一直在緩慢進(jìn)軍其他領(lǐng)域，包括醫(yī)療保健、食品雜貨店和報(bào)紙。風(fēng)險(xiǎn)投資公司CRV的里德?克里斯蒂安(Reid Christian)表示，如果亞馬遜在2019年進(jìn)行一項(xiàng)影響企業(yè)軟件開(kāi)發(fā)方式的大型收購(gòu)，我們也不必感到驚訝。

【數(shù)據(jù)觀注釋】Charles River Ventures(CRV)，成立于1970年，是世界上歷史最悠久經(jīng)營(yíng)最成功的風(fēng)險(xiǎn)投資公司之一，其投資回報(bào)率一直位于風(fēng)險(xiǎn)投資公司前列。

“In 2019, I believe Amazon will make a big acquisition that will change the enterprise world and enhance Amazon Web Services,” Christian writes. “With storage and compute decisions today more than ever in the hands of developers instead of CIOs, I believe AWS will make >$1B acquisition centered around exceptional DX (developer experience), meaning workflows and UI/UX that are intuitive and consumer like. I expect Amazon will want to have a big enterprise moment in 2019, similar to what Microsoft had by acquiring GitHub in 2018.”

克里斯蒂安寫(xiě)道:“我相信到2019年，亞馬遜將進(jìn)行一項(xiàng)足以顛覆業(yè)界的重大收購(gòu)，以增強(qiáng)亞馬遜的網(wǎng)絡(luò)服務(wù)。如今，存儲(chǔ)和計(jì)算決策比以往任何時(shí)候都更多地掌握在開(kāi)發(fā)人員手中，而非首席信息官（CIO）。我相信亞馬遜將圍繞出色的開(kāi)發(fā)人員體驗(yàn)（DX）以超過(guò)10億美元進(jìn)行收購(gòu)，這意味著工作流和UI/UX是直觀而受消費(fèi)者歡迎的。我預(yù)計(jì)亞馬遜希望在2019年擁有自己的重大時(shí)刻，就像微軟在2018年收購(gòu)GitHub那樣。”

⑧

There’s a lot of room for analytics to impact various aspects of everyday business, writes Doug Hillary, a strategic adviser and board member of Fractal Analytics.

Fractal analytics的戰(zhàn)略顧問(wèn)、董事會(huì)成員道格?希拉里(Doug Hillary)表示，（未來(lái)）分析有足夠的空間去影響日常業(yè)務(wù)的方方面面。

【數(shù)據(jù)觀注釋】Fractal Analytics組建于2000年，致力于為企業(yè)(消費(fèi)品公司、零售商和金融機(jī)構(gòu))提供理解、預(yù)測(cè)和培養(yǎng)消費(fèi)者行為，及改善市場(chǎng)營(yíng)銷、定價(jià)、供應(yīng)鏈、風(fēng)險(xiǎn)管控和索賠管理的工具。

“Enterprises will increase the use of Natural Language Processing (NLP) and voice integration with back-end data, analytics and legacy CRM/ERP systems to create more personalized and enhanced customer service for consumers and employees,” he writes.

他寫(xiě)道:“企業(yè)將增加使用自然語(yǔ)言處理(NLP)、后端數(shù)據(jù)語(yǔ)音集成、分析和傳統(tǒng)CRM/ERP系統(tǒng)，為消費(fèi)者和員工創(chuàng)建更加個(gè)性化和增強(qiáng)的客戶服務(wù)?！?/p>

⑨

The push to hybrid and multi-cloud architectures in 2018 will lead to greater cloud interoperability in 2019, according to the folks in IBM Systems.

IBM Systems的人士表示，2018年對(duì)混合云和多云架構(gòu)的推進(jìn)將在2019年帶來(lái)更大的云互操作性。

【數(shù)據(jù)觀注釋】IBM，創(chuàng)立于1911年，是全球最大的信息技術(shù)和業(yè)務(wù)解決方案公司，擁有全球雇員 30多萬(wàn)人，業(yè)務(wù)遍及160多個(gè)國(guó)家和地區(qū)。

“Cloud computing has become all but ubiquitous, but running a cloud environment for many enterprises means orchestrating a quagmire of services and hardware that don’t always play well together,” IBM Systems tells Datanami. “With more than 80% of enterprises using five or more different cloud providers, the ability to quickly and seamlessly move data becomes top of mind for any IT department, particularly as AI and other data-intensive workloads become increasingly common. In 2019, expect to see more innovations in storage hardware and software that help companies reign in and better manage their cloud footprint.”

IBM方對(duì)Datanami表示:“云計(jì)算已經(jīng)變得無(wú)處不在，但是為許多企業(yè)運(yùn)行云環(huán)境意味著要協(xié)調(diào)服務(wù)和硬件之間的窘境，它們并不能總是很好地協(xié)同工作。隨著80%以上的企業(yè)使用五家或更多不同的云提供商，快速無(wú)縫移動(dòng)數(shù)據(jù)的能力成為每一個(gè)IT部門(mén)的首要任務(wù)，尤其是在人工智能和其他數(shù)據(jù)密集型工作負(fù)載變得越來(lái)越普遍的情況下。預(yù)計(jì)到2019年，存儲(chǔ)硬件和軟件將出現(xiàn)更多創(chuàng)新，以幫助企業(yè)更好地控制和管理云足跡?！?/p>

⑩

Expect data management and AI development in the cloud to become more automated, writes Atish Gude, chief strategy officer at NetApp.

NetApp首席戰(zhàn)略官阿蒂什?古德(Atish Gude)表示，預(yù)計(jì)云計(jì)算中的數(shù)據(jù)管理和人工智能開(kāi)發(fā)將變得更加自動(dòng)化。

【數(shù)據(jù)觀注釋】NetApp，創(chuàng)立于1992年，是向目前的數(shù)據(jù)密集型企業(yè)提供統(tǒng)一存儲(chǔ)解決方案的居世界最前列的公司，其 Data ONTAP是全球首屈一指的存儲(chǔ)操作系統(tǒng)。

“A rapidly growing body of AI software and service tools – mostly in the cloud – will make AI development easier and easier,” Gude writes. “This will enable AI applications to deliver high performance and scalability, both on and off premises, and support multiple data access protocols and varied new data formats. Accordingly, the infrastructure supporting AI workloads will be also have to be fast, resilient, and automated. While AI will certainly become the next battleground for infrastructure vendors, most development will start in the cloud.

古德寫(xiě)道:“人工智能軟件和服務(wù)工具在云計(jì)算運(yùn)用中的快速增長(zhǎng)，將使人工智能開(kāi)發(fā)變得越來(lái)越容易。人工智能應(yīng)用程序?qū)⑻峁└咝阅芎涂缮炜s性，無(wú)論是在內(nèi)部還是外部，并支持多種數(shù)據(jù)訪問(wèn)協(xié)議和不同的新數(shù)據(jù)格式。因此，支持AI工作負(fù)載的基礎(chǔ)設(shè)施也必須是快速、有彈性和自動(dòng)化的。雖然人工智能肯定會(huì)成為基礎(chǔ)設(shè)施供應(yīng)商的下一個(gè)戰(zhàn)場(chǎng)，但大多數(shù)開(kāi)發(fā)都將從云計(jì)算開(kāi)始。”

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Tom LaRock, a “head geek” at Solarwinds, has gone out on a limb and already declared that 2019 will be the year of DataOps.

Solarwinds公司的“首席極客”湯姆?拉洛克(Tom LaRock)冒了個(gè)險(xiǎn)，宣稱2019年將是數(shù)據(jù)操作年。

【數(shù)據(jù)觀注釋】SolarWinds，創(chuàng)立于1999年，總部位于美國(guó)德州Austin，是一家IT基礎(chǔ)設(shè)施管理軟件的領(lǐng)先提供商，致力于為企業(yè)開(kāi)發(fā)軟件以幫助管理其網(wǎng)絡(luò)，系統(tǒng)和信息技術(shù)基礎(chǔ)架構(gòu)。

“In today’s increasingly digital world, data cannot be excluded from the agile decision-making process,” LaRock writes. “In fact, we predict that 2019 will be the year that data is recognized as a key business driver. Data culture will become increasingly implemented into tech environments, and organizations will become data-driven and data-first. This shift will also give rise to DataOps as traditional admins start to understand that their days of tuning indexes are ending, one page at a time.”

“在當(dāng)今日益數(shù)字化的世界中，數(shù)據(jù)不能被排除在敏捷決策過(guò)程之外，”拉洛克寫(xiě)道?！笆聦?shí)上，我們預(yù)測(cè)2019年將是數(shù)據(jù)被認(rèn)為是關(guān)鍵業(yè)務(wù)驅(qū)動(dòng)因素的一年。數(shù)據(jù)文化將越來(lái)越多地應(yīng)用到技術(shù)環(huán)境中，企業(yè)將成為數(shù)據(jù)驅(qū)動(dòng)和數(shù)據(jù)優(yōu)先。這種轉(zhuǎn)變也會(huì)帶來(lái)數(shù)據(jù)操作，因?yàn)閭鹘y(tǒng)的管理員開(kāi)始意識(shí)到，他們一次只能調(diào)一個(gè)頁(yè)面的優(yōu)化索引的日子即將結(jié)束。”

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It’s been a long time coming, but 2019 will finally be the year that AI goes mainstream, according to Zachary Jarvinen, head of technology strategy for AI and analytics at OpenText.

OpenText人工智能和分析技術(shù)戰(zhàn)略主管扎卡里?賈維寧(Zachary Jarvinen)表示，這將是一個(gè)漫長(zhǎng)的過(guò)程，但2019年終將會(huì)是人工智能成為主流的一年。

【數(shù)據(jù)觀注釋】OpenText Corp，創(chuàng)立于1991年，加拿大最大軟件公司之一，也是全球知名的企業(yè)內(nèi)容管理公司，專門(mén)研發(fā)企業(yè)使用的產(chǎn)品幫助管理大量?jī)?nèi)容。OpenText提供的軟件應(yīng)用程序可為大型企業(yè)，政府機(jī)構(gòu)和專業(yè)服務(wù)公司管理內(nèi)容和非結(jié)構(gòu)化數(shù)據(jù)。

“The long-promised enterprise AI transformation is poised to begin in earnest in 2019,” he writes. “Most enterprises have reached a point of digital maturity, ensuring access to quality data at scale. With mature data sets, AI providers can offer lower cost, easier to use AI tools for specific business use cases.”

他寫(xiě)道:“由來(lái)已久的企業(yè)人工智能轉(zhuǎn)型之約將于2019年正式啟動(dòng)。大多數(shù)企業(yè)已經(jīng)達(dá)到了數(shù)字化成熟度，確保了大規(guī)模獲取高質(zhì)量數(shù)據(jù)的能力。有了成熟的數(shù)據(jù)集，人工智能供應(yīng)商可以為特定的業(yè)務(wù)用例提供更低成本、更易使用的人工智能工具?！?/p>

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The languages you use to build applications in the emerging serverless paradigm may not be the languages you use now, according to Amod Gupta, director of product management for AppDynamics.

AppDynamics產(chǎn)品管理總監(jiān)阿莫德?古普塔(Amod Gupta)表示，在新興的無(wú)服務(wù)器范式中，用于構(gòu)建應(yīng)用程序的語(yǔ)言可能不是現(xiàn)在使用的語(yǔ)言。

【數(shù)據(jù)觀注釋】AppDynamics，成立于2008年，總部位于舊金山，是一家應(yīng)用性能管理公司，曾連續(xù)三年保持Gatner應(yīng)用性能管理產(chǎn)品領(lǐng)導(dǎo)者地位。

“Java and .NET will be overthrown as the de-facto languages for serverless technologies,” Gupta predicts. “We will see more and more enterprises adopt new languages like Node.js and Python for building on new technologies like serverless. So far, Java and .NET ruled the roost in enterprises, but the footprint of the new languages will increase by a lot. Serverless functions, like Lambda functions, have so far been predominantly used in development and pre-production environments, but we’ll see them move to production workloads this year, especially as Node.js and Python catch on in broader adoption.”

Gupta預(yù)言:“Java和.NET( Microsoft XML Web services 平臺(tái))將被顛覆，成為無(wú)服務(wù)器技術(shù)的事實(shí)語(yǔ)言。我們將看到越來(lái)越多的企業(yè)采用像Node這樣的新語(yǔ)言。用于在新技術(shù)(如無(wú)服務(wù)器)上構(gòu)建的Node.js和Python。到目前為止，Java和.NET企業(yè)占據(jù)著主導(dǎo)地位，但新語(yǔ)言的足跡將增加很多。無(wú)服務(wù)器功能,像Lambda函數(shù)，到目前為止主要用于開(kāi)發(fā)和預(yù)生產(chǎn)環(huán)境，但我們可以看到他們今年轉(zhuǎn)向生產(chǎn)工作負(fù)載，尤其是Node.js和Python得到了更廣泛的采用?！?/p>

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Big data means big storage requirements, even for small companies in 2019, according to Douglas Brockett, president of StorageCraft.

StorageCraft總裁道格拉斯?布羅克特(Douglas Brockett)表示，大數(shù)據(jù)意味著巨大的存儲(chǔ)需求，即使對(duì)于小公司來(lái)說(shuō)，在2019年也是如此。

【數(shù)據(jù)觀注釋】StorageCraft，創(chuàng)立于2003年，是一家生產(chǎn)安全類的軟件產(chǎn)品，并致力于為虛擬和物理環(huán)境提供一流的備份、災(zāi)難恢復(fù)、系統(tǒng)遷移和數(shù)據(jù)保護(hù)解決方案的公司。他們的產(chǎn)品為服務(wù)器提供了高可用性，從而因停機(jī)產(chǎn)生的相關(guān)成本被降到了最低，通過(guò)數(shù)據(jù)保護(hù)、數(shù)據(jù)管理和業(yè)務(wù)連續(xù)性解決方案，使組織的關(guān)鍵信息始終安全、可訪問(wèn)和優(yōu)化。

“Petabyte-size data management used to be a challenge only large enterprises would face,” Brocket writes. “With data growing ten-fold – according to IDC – the petabyte era will start barreling down on mid-sized organizations too. What used to be an anomaly will start to become the norm for SMBs and mid-size organizations. Mid-sized organizations in particular will find their IT architectures simply can’t scale with their data growth. Unlike large enterprises, they won’t have the skills or budget to cope either. The demand to bring data management, protection and cost-effective scale out storage into a single frictionless environment will rise.”

“Pb級(jí)的數(shù)據(jù)管理曾經(jīng)只是大企業(yè)才會(huì)面臨的挑戰(zhàn)，”Brocket寫(xiě)道，“根據(jù)國(guó)際數(shù)據(jù)公司IDC的數(shù)據(jù)，隨著數(shù)據(jù)增長(zhǎng)10倍，Pb時(shí)代也將開(kāi)始對(duì)中型企業(yè)造成沖擊。過(guò)去反常的情況將開(kāi)始成為中小型企業(yè)和中型集團(tuán)的常態(tài)。特別是中等規(guī)模的企業(yè)會(huì)發(fā)現(xiàn)，他們的IT架構(gòu)根本無(wú)法隨著數(shù)據(jù)增長(zhǎng)進(jìn)行伸縮。與大型企業(yè)不同的是，他們既沒(méi)有技能也沒(méi)有預(yù)算來(lái)應(yīng)對(duì)。將數(shù)據(jù)管理、保護(hù)和成本效益高的大規(guī)模存儲(chǔ)引入單一無(wú)阻環(huán)境的需求將會(huì)上升?！?/p>

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We’ll finally start to see AI impacting healthcare, writes Gianfranco Lanci, president and COO of Lenovo.

聯(lián)想(Lenovo)總裁兼首席運(yùn)營(yíng)官吉安弗蘭科?蘭奇(Gianfranco Lanci)寫(xiě)道：我們終將看到人工智能對(duì)醫(yī)療保健的影響。

“AI is reducing emergency waiting room times, enabling remote personalized health care delivery and monitoring, offering the availability and accessibility of critical hardware and even freeing up doctors’ time by detecting and diagnosing tumors,” Lanci writes. “These advancements are literally saving lives.”

蘭奇寫(xiě)道:“人工智能正在縮短急診候診室的時(shí)間，使遠(yuǎn)程個(gè)性化醫(yī)療服務(wù)的提供和監(jiān)控成為可能，提供關(guān)鍵硬件的可用性和可訪問(wèn)性，甚至通過(guò)檢測(cè)和診斷腫瘤來(lái)解放醫(yī)生的時(shí)間。這些進(jìn)步實(shí)際上是在拯救生命?！?/p>

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You’ve heard of AI. But 2019 will see the rise of EI, or ethical intelligence, according to Christian Beedgen, the co-founder and CTO of Sumo Logic.

你聽(tīng)說(shuō)過(guò)AI（人工智能），但2019年將出現(xiàn)EI(倫理智能)的崛起。Sumo Logic聯(lián)合創(chuàng)始人兼首席技術(shù)官克里斯蒂安?比德根(Christian Beedgen)表示。

【數(shù)據(jù)觀注釋】Sumo Logic，2010年在加州創(chuàng)立，是一家基于云計(jì)算的機(jī)器數(shù)據(jù)分析公司，專注于安全、操作和BI使用。它提供日志管理和分析服務(wù)，利用機(jī)器生成的大數(shù)據(jù)提供實(shí)時(shí)It洞察，輔助企業(yè)對(duì)數(shù)據(jù)日志進(jìn)行管理和分析，并將分析結(jié)果應(yīng)用到安全性威脅檢測(cè)、輔助理解相關(guān)事件等。

“Our fascination with the use of computing power to augment human decision-making has likely outgrown even the tremendous advances made in algorithmic approaches, ” Beedgen writes. “In reality, the successful use of AI and related techniques is still limited to areas around image recognition and natural language understanding, where input/output scenarios can be reasonably constructed, and that will not change drastically in 2019.

“我們對(duì)使用計(jì)算能力來(lái)增強(qiáng)人類決策能力的迷戀程度，可能已經(jīng)超越了算法方法本身的進(jìn)步。事實(shí)上，人工智能及其相關(guān)技術(shù)的成功應(yīng)用仍局限于圖像識(shí)別和自然語(yǔ)言理解領(lǐng)域，在這些領(lǐng)域中，輸入/輸出場(chǎng)景可以合理構(gòu)建，而且在2019年不會(huì)有太大變化?！?/p>

“The idea that any business can ‘turn on AI’ to become successful or more successful is preposterous, no matter how much data is being collected,” he continues. “But the collection of data to support humans and algorithms continues and raises important ethical questions and is something we need to pay close attention to over the next few years. Data is human and therefore is just as messy as humans. Data does not create objectivity. It is well established that data and algorithms perpetuate existing biases and automated decisions are — at best — difficult to explain and justify. Appealing such decisions is even harder when we fall into the trap of thinking data and algorithms combine to create objective truth. With greater decision-making power comes much greater responsibility, and humans will increasingly be held accountable for the impact of decisions their business makes.”

他接著寫(xiě)道：“不管收集了多少數(shù)據(jù)，要是認(rèn)為任何企業(yè)都可以通過(guò)開(kāi)啟人工智能來(lái)變得成功或者更成功，這種想法是荒謬的。但支持人類和算法的數(shù)據(jù)收集仍在繼續(xù)，并引發(fā)了嚴(yán)重的倫理問(wèn)題，這是我們?cè)谖磥?lái)幾年需要密切關(guān)注的問(wèn)題。數(shù)據(jù)反映了人類，因此和人類一樣混亂，數(shù)據(jù)不能創(chuàng)造客觀性。眾所周知，數(shù)據(jù)和算法使現(xiàn)有的偏見(jiàn)永久化，而充其量的自動(dòng)化決策也難以解釋和證明。當(dāng)我們陷入思考數(shù)據(jù)和算法結(jié)合起來(lái)創(chuàng)造客觀真理的陷阱時(shí)，做出這樣的決定就更難了，隨著決策權(quán)的增強(qiáng)，責(zé)任也越來(lái)越大，越來(lái)越多的人將會(huì)對(duì)自己業(yè)務(wù)決策的影響負(fù)責(zé)。”

注：《百家爭(zhēng)鳴：2019大數(shù)據(jù)預(yù)測(cè)》來(lái)源于Datanami(點(diǎn)擊查看原文)。數(shù)據(jù)觀黃玉葉/編譯，轉(zhuǎn)載請(qǐng)注明譯者和來(lái)源。

責(zé)任編輯：李蘭松