• -safe for the of (IoT) is that's ever more these days. I mean, the IoT, it's this huge right that's made up of all sorts of —, with that with each other all kinds of data, kinds of daily . There's just an of back and forth!

    Now, let's talk about -safe . You see, , the kind we've been using so far that our data in the IoT —it's faced with a big There's this new thing and these of ? They're , , . I mean they're like these of the world.

    The power has so huge, it have be able , we can even think about it. You know, when break data so via a , it every bit is and sent out in IoT being at risk. It is scary ! So there has to be more , right?

    First up one key in -safe is post- What is the case here is that have to get out new , ones that with much in fact 't be able crack for any . This huge into , code-based . You know, some have deep into using , code can from super

    is in , when an of in the IoT , all the on the the of have when sends and and data. I mean these smart not get of a for their own , do not have built in easy . So need think how safe like been baked into chips

    Key also vital. With -safe the way keys , , and . There are many going on when these keys made and how long used for, who's get a hold of keys . A wrong step means could , a get

    Let us have a look bit and some An one we ? Is what the for these In there isn't exact . It on at which , how many real life break these code , how piles up in IoT . Just look there aren't fixed how fast we move from old to new one. issue is , ? How money for and a safe model into use. Is this large part sell and down road, or give ..

    So, in my own view? -safe for IoT is . The more our world gets with IoT fast the risk to of hold of due that would . Our data in this age each and every step we take. Can't with just . Push do more wider .

  • Let me tell you about – . These are, well, when it comes to the of 's . uses of here, of what seems like bits——to beef up the sky-high.

    In the of , this is way than old . With – , you don't have to go about into your smart 's data. codes are super these days, got to say. It's all to new, ever-, tools and amuck. That's where rides to the

    These use key —QKD or fancy way you wanna say it. It super ultra safe the 's . And how this works is , no ​​lie. QKD bases on laws of —laws as in such as and , if . These seem way to what we or , I will say, see or know in , it seems like.

    What makes keys so extra-ultra ? You might be your head like the rest of us do about it. It's . If or some on the sly tries to a key for wrong-doing or evil , they are big ol' in the state of said key, super plain signs that, you know, to have an nosy peek at it. As, thus the state of a bit—that qubit— much value of qubit and gives off this , if may use this term— tell-tale kind of sign

    1. Now, what about the cost?

    Are – way too types of ? Some says these cost an arm and a leg due to all those state-of the-art tech . But wait hold-! Over time, as ages and more gets more and more and over time, costs can be fall down more over of time. , true true it does need hefty of , no ​​need to sugar-coat this stuff… But… this can pay big time and I mean like tons of risk- and such! On risks and type of where fail.

    2. How are they to set up?

    these – up ain't walk in park at all! It does who are way real tech savvy. who know the ins-and-that -outs of and of setup- , – setup ? It based sizes, setup —lots types of come into scene play. But all this, with and of step-by-step , the can and right out over the long haul terms

    3. .

    in have age-old types of of them. Now, comes this hot-on-the-way and well- – on the as sets of gears… But do these new- – set ups clash and show major non- what in in-site and ? True… there are and where does seems but and keep away tools to ease make

    Well, as to my own two cents? I think – is set to take over in near . It big , risks, —all that long list of tend comes to crash break with time. Sure, lot more work needs be done in areas and ease of … , yadda yadda… It that will dance to the tone of this 's tune song that gonna play

  • Well, you know, , this here is . Uh what are then, you may ask. It , sorry, to the whole of a , you know, bring in new , its while still to keep the and of that there .

    Now, there are . They can first be as . these , and on you add more use value. can more after , even . The rate may go up and rent's more . It is the, these can to local a whole heap more than .

    lies in . tell of long days, there are the , of right there. them, each , such the the , style, it the we have with the past 's , .

    We could also say about yep yep. These old , in , they're and using anew saves the you'd have it used to new . long-term for of the , that there's like this!

    Now let's break down key stuff the yep. There's first. for about facts okay here you got laws for . We used so or add-on won't lying there with needs about this old and . So much goes in just stage.

    The comes right. come up with and uh, where they flow of 's or must mix sense well. some are where to into of old walls not looks at all that that adds when . It not but takes much yep okay okay here we go we're good here.

    Okay now let me give via Q&A then got this idea um. 1, what about if new heavy ? is: will based study of yep okay and new needs work there may help to old , and .

    2 would it cost much more to new- . Well yeah might seems this , you know of , mean much in every step but you long-term and could be lower. time but you gonna see uh okay cool can still do more here yep. So wise these are super and doing is a great to well-being the ages okay okay all done now.

  • , the of "Plant-Based Air AI" has been , many 's . Let's start with some basic here. This term the of to air and high-tech .

    1. How it works

    The idea is that have long been known for their of from the air. For , areca palm can some like to a . With AI , go . are to air . These are, like, the eyes of this , the data such as the of gases, , , and in real-time. Then, AI , this data the and the to the air on the .

    AI

    Plant

    AI can this of data . data of air from a space, it be an space. home or large , can get for that work best for them. of just based on or . can rely on the of AI here.

    If the air high of . for , AI may like the snake plant which to be good at with its .

    for Plant

    AI also can comes into play for the for . It at like , each plant has an range for and rate. plays an part too, there are many – where level would their while too much or too both . , for must also been . so via tools with AI , that to at full while air has more .

    Real Time and

    lies in this real-time and . These AI run keep or tabs on air in long , being to give alert when range in that area. Let's in some halls such large areas or which more often, a well set could , of the by using audio

    (Next, let's move to some asked

    Q : Does this sound so , but is it ?

    Well, costs vary in to the scale of and of the . Small unit might only and basic AI , often the cost- with costs be minor as its often are . While high tech grade , to cost hikes. . the could be by early and in , the long-term might be ).

    Q :Are there any we be aware of from Plant Based AI air ?

    it is not all side. at air they plant which might not be and in One area it lags with say air might be the of space due to to place a of .

    My ? I think that Plant-Based Air AI is a great for air In my , the it and bodes well for a ., that a few areas must be along the path.

  • flow 咱先說這概念。它, 是什麼呢,就是一系列為了讓患者在醫療機構裡頭能更順暢地從一處到另一處接受治療, 的這麼個想法。反正呢是想減少他們等待時間、減少跑來跑去耗費的精力,讓病人整個體驗變好起來的這麼個系統。

    這方面的好可不少嘞!首先,我們來看看這些系統是怎麼一點點模塊化來發揮大作用的。第一部分是預約安排模塊。通過這東西,病人能更方便快捷約到適宜他們得空檔時間。通過大數據對比以往的看病情況啥的、就能預測每天各個科室大概所需的治療時間啥,然後能更合理得安排號源!過去那種半夜就來醫院排好久對好、等老半天看會兒病,這種日子可能就能因為這個改善。很多之前排一天號也難就診,現在用了優質得預約制度,差不多能提前好幾天安排得穩穩噹噹。

    第二個關鍵模塊、電子病歷這方面有關。這些系統能瞬間獲取病人的資料。以前、手動翻病歷、半天尋不到病人過去情況的事可常發生、大夫得花費精力在查資料上等。採用電子病歷隨查隨有!患者過往症狀分析能夠快速匯總完成、而且對比以往病歷和數據,分析病情速度更快!這模塊也就能做到各科室間信息流通極快!無論在哪都很快獲取所病人全面得醫療數據。就能實現更精確得一站式治療計劃。

    第三個方面呢關鍵在於科室佈局調配。有些醫療機構過去就佈局不合理、有的科室間距離遠得很、特別是要反複檢查的時候、累壞了要跑來跑去做多項檢測的患者。但有這些患者Flow 優化系統、能科學測量統計診療人數。就能把相關的檢查科室呀、功能房間呀安排得更有序恰當,減少患者來回奔波路程,可能過去好幾十分鐘過道路程、能壓縮到幾分鐘就能到位完成各科室轉移。 還有後勤路徑調整也在內。醫護工作者配送物資等的便捷性提升、也反作用讓病人可以更快得完成治療流程相關步驟

    下面進入問答環節哈為啥有的地方flow 作用小?好多情況下是沒依據當地情況定制化設計導致的!一些大范范的模板擱這兒不一定管用!所以得全面調研當地醫療機構特殊性比如獨特常見病例、機構已有佈局風格,來調整優化這些系統咱談談別的地方先進例子! 很多超現代化醫院是這麼用電子信息屏啊引導病人找到自己得就診地點!這個就幫他們直接找到位置、 而且可以根據實時預約人數變動指引最省時間就診路線跟老樣子亂跑半天找地兒是不是改善忒大了?

    另個咱說說安全、像flow 在合規使用的數據加密對病人隱私挺保障的。病人完全不要怕資料亂竄洩漏被不相干的窺視那種!

    最後說說,感覺現在flow 真是很不錯。無論是大小醫院都能採用根據實況定制調配就能看到它帶來的明顯改善咱患者就有望得到更方便快速診療服務。也希望這個體係不斷打磨升級吧、更有效的治療和診療效率相關模式會陸續推出和到來! 很多醫療機構就能跟著改進,病人看病舒適度和效果都提升–想想就舒服哈肯定一步步會不斷完善了。 更規範全面便捷合理的這種局面將會到來如果推廣改進優化得好咱都有福啦。 咱還能見證醫療不斷進化著更好局面這樣真的就是對患者大大得利好。 會方便更多病人吶、也改善了咱們平時談之色變得複雜看診體驗感! 大家說這是不是挺美好的?

  • is, let me tell you, a and very area of​​ work. A has a lot on their plate, like all the of a , it's a big or a plant—even a .

    Now, you see, a has to start their day with a kind of broad check-up. They have a whole bunch of on their mind. There could be , for . Say for , of the 's roof, right? or leaks can cause such a . So, first thing in the they're going from the night on any off hours Maybe from on last night or from the set up the

    Next area they focus, is about the and . Smoke , any in the which need to be What about the and air- unit sure each of these in the , so that or enjoy their best and level. first come up at this point of time for right; they It has to fully in areas where there may be a foot or even

    Then comes time for with the -side of their tasks. the and staff: this isn't easy. They need to jobs They need who clean and keep in order their need to what needs to be done

    These are that occur daily What about ?

    1: What if there's a major or a small on the ?

    If there's an — say, like a huge —the has got to get on top of it fast So the crew right away the for a quick fix or not this new parts to be from the it's all hands on deck mode. The you react—the less you have

    on the other hand out the the one make sure they're for Then to , or even they needs of it does how big and how bad it is But as part of an role

    2: How do they costs to all these tasks?

    Oh,成本控制(cost )這可是相當重要的事,得精打細算才行。設施經理要隨時關注維護和更換設備的費用,不能一不小心超支了,得在眾多服務商和供應商中仔細挑選,找到性價比最高的那一家。比較各種不同品牌不同供應商的價格來找到最合適那個所以呢就得耐心琢磨不同的報價方案,爭取談成最優惠的採購條款。看清楚各個合同里那些不起眼的彎彎繞繞,每個細仔微毫的條項都不能疏漏,要牢牢控制費用,可一點都馬虎不得!

    All in all, I see in the of , our every-day — or or else and, most , safe It's tough job but , make a under 's

    If i look at , It take and get each issue and any Or It is a huge to make sure a run hitch every day. They are heros the scene all a .

  • As-a- , well, they are quite a thing these days. You know, this of as a than a one-time , it has the game. I mean, what are As-a- ? Put , of a , or rent the to use a or , with .

    Here are some types to :

    1. -as-a- (SaaS) is real big right now. of a for a large sum, you pay a or fee. For Gmail, 365, just pay to use those . It's , a great way for and alike. You get to the out a all at once.

    2. -as-a- (IaaS) — this more to . like Web (AWS) fall into this . don't have to build out their own data . It them to start small and grow scale with .

    3. -as-a- (PaaS) gives tools to build, , and . App is a good . These a to make jobs .

    The of these As-a- are

    They make it -thing

    is way less of a . of huge one off , you those costs. No need to fork out a big in one go. Pay or .

    They bring easy

    can . If the new has tons of vital cool , it is get those then much.

    They

    can try out new or hugh risks Costs are way down which .

    But okay, let's talk about some

    Q: How do set in As-a- ?

    Well, it . They often look at how much they want to for each tier of usage, etc plus also . Say a perks which they have an copy or , all into price-.

    Q: Do these for all types of ?

    Most cases yes. can avoid Big can right-size their . If your usage rate much then an as-a- gives the

    view might be , a them? like SaaS or IaaS

    If you focus on the such as best bet might be SaaS first. make IaaS first.

    If one more than the based on as-a- good in

    Q: What one need to in these ?

    While quite still exist for

    Most IaaS have in place data , etc.

    In SaaS also often to set

    Still due is which one you As a wisey It only wise think about

    In my , As-a- hold the for many . The , cost- and are too to . that are not on this , truly they will be left as it keeps . It 'll open loads of that didn't exist . So for me full steam ahead for these

  • with HR means work 的話,這種整合其實相當重要的這個。就像是把公司裡面各種分散的人力管理的這些環節,像招聘、培訓、員工信息管理啥的這個,形成一個有機整合的、相互溝通的大整體的。想像一下這個,如果各個環節之間能這麼順暢溝通這個,那可給咱企業人力部門省去不少麻煩呢這個!

    首先要提到的呢就是數據同步方面這個。傳統上,咱可能有多個系統各管各的數據的,這個比如說考勤系統有自己的數據那,招聘系統又另一套獨立的數據。這樣,員工信息變動了以後就得兩邊甚至更多地方一個一個去更新這些什麼繁瑣工作。要是整合了以後呢這個,實現數據實時同步。比如說呢這個,新員工錄用了之後啊這個,招聘系統的數據可以自動進到員工信息管理系統裡面去。這麼做能大大提高數據的準確性哦這個,畢竟只需要在源頭錄一次嘛這麼看!減少了因為多次錄入產生的各種錯誤情況!而且同步很重要以後很多分析都是建立在大量準確高效同步過來的數據基礎上的方面

    再者哦關於流程自動化情況。假設以前從員工入職到轉正這一連串流程這個。需要好多人跨部門、用郵件跟文件到處傳這些相關材料!如果with HR 嘛那很多流程都可以自動化起來這個。應聘流程走完合適人篩選出來到錄用可以直接流程就下來進員工入職準備方面然後按照入職後培訓等計劃都可以根據整體安排而不是以前那種亂糟糟各自為政這樣推進。另外工作流從招聘到績效然後再是職業規劃這些都更好銜接這些流程!當自動績效出來以後這個還自動分析培訓需求按照整體HR戰略匹配資源和機會給員工這個就是整合系統好的好處來提供更全面職業幫助提升個人職業發展然後促進整個企業發展壯大作用啊這裡邊複雜但好處巨大啊這裡面都在這些對接過程裡面呈現的這些事

    那麼常見問題的話有人會問如果with HR 會影響當前系統的穩定性嗎這個?其實,現在技術發展都提供好多解決方案這個。很多對接都是增量式進行的,對原來各自架構影響特別少這麼個設計原理!而且經過專業測試後才會大面積推行的這麼看待,偶爾小穩定性問題後續都可以一步步解決小問題都是好改善得只要肯用成本來花時間成本耐心去協調就可以沒問題可穩定運行的這種狀態最後達到目的這些事嘛這個!對這個就是這個狀態可實現運行穩定後續不斷維護階段。

    還有人關心整合成本哦這麼多。這東西是個投入但長期受益。比起像人力無效耗費這個、員工體驗不佳、企業因為各種管理流程問題丟機會成本嘛啊簡直沒法比整體算起來整合成本還是相對小小比較的話小很多的吧但是收益跟效果帶來很多不可估量好處啊這樣去權衡整合成本跟收益平衡就值得做這些平衡事情上面分析上面考量裡面需要投入到整合的方面的這裡

    像還有比如數據分析對接過程有些很細節不同格式之間轉換咯像這樣技術處理方面都解決好像這樣整合各種HR 之後。全面提升了企業HR 各種職能業務處理能力這個,在人力資源管理領域裡面發揮越來越重要核心價值的一種形式這樣子看待它就OK !以後企業要注重發揮各種複雜模塊交互連接以後,更好服務人才選、育、用、留各種好人力資源方面環節了這個!這是發展的方向趨勢不能忽視方面上看以後啊就得多推動這種事才行企業得認識到這個重要性才行呢上面這些具體呈現各種價值後得讓發展更順讓人才發揮價值最大發揮空間的事情上面咯這樣

    在我看來, with HR 那絕對是企業管理髮展進程中,一個不可避免的趨勢!咱現在這個環境這麼競爭是,能抓機會抓住、把流程做順暢。那人才在這環境下才能有好體驗這裡邊的事情,各種潛力能夠更高效挖掘。不然,如果還是抱著老一套模式不放的話這個,那多走彎路不說還可能丟失好多可發展機遇這些事!這個,眼光得往前面方向看長遠點才行呀上面看那後續事情都可以順起來。

  • for is like a for a house that can any storm. There is no way of over – its . It boils down to in such as , data , or power , a hitch so to speak.

    1. Power

    You gotta . And I'm not about those small, run – of – the – mill ones. Large, – grade are the key here. Ones that can kick in what seems like when the main power fails. For in a , when the power goes out, a set can keep like and MRI up and on the go. There are also . They're like an . Even the fully up, these can a power boost that acts like a , .

    2.

    are the bread and of for these . First off, are still part of most , aside from cell . Some can be built with a wired for their basic so that if there are cell due to or , there's still one wayto with the world. are great to your plan so to speak. These are when more . Now that we think about being very much in areas where there are big and won't even open up.

    3. Data

    For , data is . data get if they were the . that . When I say I mean up times, . There are cloud – based . What's is, these can be , went well with the set up for to these that sit away! good would be to keep as far away as from the that to do most of the . In case the main 遭遇or that might mess up their data near the , there''re to look up to.

    For in , there are many come to . Here're some and bits of into a fresh plan for these areas:

    Q : How often be , so it's all ready as it' for with no ?

    : that take and at least once a month to catch any minor or time to off guard.

    Q : Is there a of are ?

    : at least , a , a , and a ,is a good rule of thumb. This a good level of for no what's going on out there in today's days..

    Q : What about the cost with all these for ?

    : While uity does come with some , the cost pales in to the there'llbe due to . For , in a data ,an could mean worth in just a of few hours shut down.So it' in like power , , and data . this a that can go on even when the chips are down…

    In my , for isnot to brush aside as a minor thing. it be the very core of an . time, and are in place,even if it means or high for …etc, that be these .I this can of the that' these that from at large leans upon.

  • Well, let me tell you about these IT , you know what I mean? These folks, they are in the realm of .

    First off, the role of IT is super . I mean, these are the who make sure that all the IT stuff in a ——like or ——works . They deal with all the , the , the , that kind of thing and too.

    If we break it down a bit here:

    1. One of the key areas they focus on is . They the types of . For , high – are to store all that data—— , data and like that. a setup, the data could be at risk, and the whole could go .

    2. Then there's . IT are for and . Think about it, need to from the , right. So a and is a must – have. This the right , and .

    3. is big deal. They work on and the right for the . This like (EHR) . These are the of , where is , and .

    Now, let's move on to some .

    1: How do these the of data?

    : Well, they . This like to block , data so that even if tries to break in, they can't the data .

    2: What kind of does a IT need to have?

    : They need a blend of such as in-depth of IT that I , but also some – know – how. They need to the and the data .

    Let's draw a here. IT might be good at IT for , but IT are in a of their own.

    1. don't deal with the same level of data. In , data is not just about good but is . There are laws and this.

    2. The also has . a that at 5 pm, 24/7. So these need to that the IT can the round – the – clock .

    is , you see?

    1. As a grows, by the of , new etc., the IT need to make sure that the can scale . For , if a adds a new wing to , they'll need to the of their EHR and the to serve that area.

    To my here, IT play an role. They are the that keep the in the age. They a lot more than they often get for being there to sort out , keep our data safe and that can focus on what they do best – . And I think that in and more of these be a top for .