2022年的熱門工作:數(shù)據(jù)科學(xué)家
????十年之后,決定投身應(yīng)用程序開發(fā)行業(yè)的技術(shù)精英們可能會后悔當(dāng)初沒上一兩堂應(yīng)用數(shù)學(xué)類課程。即將到來的數(shù)據(jù)洪流(稍后將展開介紹這方面的內(nèi)容)將催生出一波全新的需求,對計算機科學(xué)家的需求。他們既是數(shù)學(xué)家,又是產(chǎn)品開發(fā)專家,同時還是偵探。 ????D?J?帕蒂爾是數(shù)據(jù)科學(xué)領(lǐng)域的先驅(qū)。這是一門新興學(xué)科,旨在組織并理解由機器生成的所有數(shù)據(jù)。未來十年內(nèi),這個挑戰(zhàn)將呈指數(shù)級增長。 ????目前,大約有4億臺設(shè)備連接到互聯(lián)網(wǎng)上,其中大部分是手機和電腦。到2020年,約500億臺涵蓋汽車到家電的各色設(shè)備將彼此聯(lián)通。屆時,各公司將需要像帕蒂爾這樣的數(shù)據(jù)科學(xué)家團隊,整理從互聯(lián)網(wǎng)庫存指標到客戶發(fā)布的Twitter消息等各種數(shù)據(jù)。這個角色非常重要,以至于風(fēng)投基金Greylock Partners已經(jīng)聘請帕蒂爾擔(dān)任“常駐數(shù)據(jù)科學(xué)家”,幫助投資對象發(fā)掘自身的數(shù)據(jù),從中找出有用的模式和統(tǒng)計數(shù)字,幫助它們提高效率,提升決策水平,超越競爭對手。 ????帕蒂爾曾經(jīng)在商務(wù)社交網(wǎng)站LinkedIn擔(dān)任了三年的首席科學(xué)家。他深知科學(xué)數(shù)據(jù)的商業(yè)價值,只不過他把數(shù)學(xué)家的邏輯成功運用到了這項工作中。他的口頭禪是:“量化問題,爾后才能解決問題?!?/p> ????譯者:項航 |
????A decade from now the smart techies who decided to become app developers may wish they had taken an applied-mathematics class or two. The coming deluge of data (more on that in a moment) will create demand for a new kind of computer scientist -- a gig that's one part mathematician, one part product-development guru, and one part detective. ????D.J. Patil is a pioneer in the field of data science, a new discipline that aims to organize and make sense of all the data generated by machines. It's a challenge that will grow exponentially over the next decade. ????Today there are some 400 million devices connected to the Internet, mostly phones and computers. By 2020 some 50 billion devices, from cars to appliances, will be talking to one another. And companies will need teams of data scientists like Patil to sort through everything from internal inventory metrics to customer tweets. The role is so important that Greylock Partners has hired Patil to serve as a "data scientist in residence" to help its portfolio companies mine their data for patterns or stats that will make them more efficient or smarter than their competitors. ????Patil understands the business value of data science -- he was LinkedIn's (LNKD) chief scientist for three years -- but he brings a mathematician's logic to the job. His mantra? "If you can't measure it, you can't fix it." |
掌上型超級計算機
覺得你的智能手機很智能嗎?預(yù)計到2020年,移動設(shè)備將擁有數(shù)十TB的存儲空間和10億赫茲級主頻的處理器(解讀:這些手機將像今天機房里的超級計算機一樣強大)。結(jié)果呢?就是讓消費者可以在等公交車的時候進行復(fù)雜的計算。這一趨勢必將考驗無線網(wǎng)絡(luò)。想象一下通過手機發(fā)送高清醫(yī)療圖像的情形吧?而有了這么大的內(nèi)存,移動辦公者可以保存或使用相當(dāng)于整個國會圖書館的文件,不再從云中提取。這才叫智能??! ——Michal Lev-Ram