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Google subsequent 2018: A deeper dive on AI and laptop learning advances | real Questions and Pass4sure dumps

Video: How predominant cloud providers stack up in 2018

If ultimate week's Google next 2018 suffer is any indication, Google Cloud is turning out to exist instantly. Registrations for the July 23 to July 26 adventure topped 25,000, and actual attendance readily doubled the 10,000 at Google subsequent 2017. it truly is good, but when this public cloud goes to seize up with additionally-speedy-turning out to exist opponents Amazon net services (AWS) and Microsoft Azure, Google goes to requisite to play to its strengths.

read additionally: Google's G Suite provides current AI and safety tools - CNET

From my perspective, Google's largest appeals to massive companies are its deep learning (DL), computer studying (ML), and records platform capabilities (notwithstanding i am biased and my Constellation colleagues who observe G Suite and the relaxation of Google Cloud Platform (GCP) cloud infrastructure might discern it otherwise). among the many bulletins at Google next 18, the largest steps ahead -- and those I discern as most likely to accelerate growth -- had been those aimed toward expanding using Google's DL, ML, and statistics platform capabilities. here's a more in-depth appear.

Cloud AutoML Democratizes records Science

If I needed to cite the separate largest announcement of Google next 18, i might roar it was the beta unencumber of Cloud AutoML, which promises to bring customized DL mannequin pile capabilities to corporations despite the fact that they will not fill records scientists on group of workers. or not it's a self-service, democratized alternative that builds on the Google Cloud ML Engine, the data-scientist-oriented offering that became often available in March 2017.

To evaluate, Cloud ML Engine is a managed computing device getting to know service that lets you coach, installation and export customized models based on Google's open-sourced TensorFlow ML framework or Keras (an open neural net framework written in Python that may Run TensorFlow). Cloud ML Engine elements computerized hyperparameter tuning and tools for job administration and graphical processing unit (GPU)-based practicing and prediction. models are additionally moveable, so that you can build and discipline on GCP but then export the fashions and Run them on premises.

examine also: Google Cloud Platform: A cheat sheet - TechRepublic

Of word to Cloud ML enthusiasts, the company introduced at Google subsequent that the engine has introduced assist for training and prediction the expend of scikit study (for Python-primarily based machine gaining knowledge of) and XGBoost (for gradient boosting in C++, Java, Python or R).

You deserve to know what you're doing to expend the Cloud ML Engine, with the intention to obtain things more straightforward for non-records-science-specialists, Google added a sequence of computer gaining knowledge of capabilities in line with pre-constructed fashions. builders can comfortably invoke utility programming interfaces (APIs) to faucet into the features for natural Language textual content evaluation, Speech-to-textual content and textual content-to-Speech translation, and laptop vision image detection.

Google Auto ML

Invoking a service via an API is convenient adequate, but the down facet is of these widely wide-spread-aim, pre-developed models is that they're time-honored. The concept with AutoML is to birth with the pre-built models, however then enable non-statistics-scientist kinds to customise through a simple graphical person interface (GUI) and their own information. by using taking talents of the entire practising that went into the prebuilt model, AutoML shoppers withhold construction time, however they moreover improvement from more correct, custom fashions in response to practicing on information that is specific to their traffic and company.

examine also: Twitter chooses Google Cloud: What it skill - TechRepublic

since its initial alpha unencumber in February, Cloud AutoML imaginative and prescient has been used chosen clients. At Google next they heard about how retailer city Outfitters has used AutoML vision to construct a custom model that acknowledges attributes pleasing to its product imagery. The company says the client mannequin has better the search suffer on its web website, assisting valued clientele to locate what they're after in keeping with visible cues, reminiscent of cloth patterns and neck strains. These visible cues carry out not necessarily account for up in textual metadata, and that they're additionally no longer expert into the model at the back of Google's generic imaginative and prescient service.

As introduced final week, Cloud AutoML is now in beta (so it exist accessible to consummate valued clientele) and it has been extended to consist of AutoML herbal Language and Translation as well as vision.

MyPOV on Cloud AutoML. this is a very pleasurable step forward for Google and it'll clearly enchantment to any enterprise interested tapping into the energy of deep getting to know without hiring a knowledge scientist. it's without rigor limpid to anybody who has compared Google second to the likes of Amazon Alexa, Apple Siri and Microsoft Cortana that Google's voice and language capabilities are the top-rated obtainable. Cloud AutoML makes state-of-the-art DL obtainable to a extensive viewers, however I feel it will appeal to mainstream developers and records scientists alike.

I additionally respect that Google has broadened the attraction of the Cloud ML Engine with the aid of including cheer for scikit exist taught and XGBoost. now not consummate modeling challenges apt TensorFlow, and these open supply alternate options expand the probabilities each on GCP and for exporting and deploying models on premises.

BigQuery ML Democratizes computer getting to know

The 2d big Google subsequent announcement within the theme of democratization became BigQuery ML, a beta liberate designed to sheperd laptop discovering via fundamental, extensively understandable SQL statements. because the identify suggests, this current ML capability has been introduced to BigQuery, Google's extremely accepted records warehousing carrier. it exist common largely because it's serverless, which means it elastically scales up to petabytes and lower back down on demand, devoid of requiring database administration. It moreover helps SQL 2011 ordinary expressions, question federation, high availability, streaming analytics, encryption and different pleasurable stuff, but ease of expend is BigQuery's calling card -- and a differentiator versus extra administratively challenging opponents AWS Redshift and Azure SQL information Warehouse.

BigQuery ML

BigQuery ML

BigQuery ML extends SQL functionality to assist computing device studying via essential CREATEMODEL and ml.PREDICT SQL instructions. At launch, BigQuery ML supports linear regression and binary logistic regression, but Google plans to add many more algorithms and assisting expressions. BigQuery ML applies what's known as an in-database approach, and the election is the regular strategy of exporting data to a sunder desktop getting to know and analytics environment, which is undoubtedly extra cumbersome, time consuming and expensive.

MyPOV on BigQuery ML. thoughts for in-database execution of advanced analytics including computing device discovering had been round for virtually a decade, carried out in IBM Db2, Microsoft SQL Server, Oracle Database, and Teradata, amongst others. consummate of these databases at the moment are attainable as cloud capabilities, but where Google's pleasurable hyperscale cloud competitor are worried, AWS Redshift does not fill anything else fancy BigQuery ML. Microsoft SQL Server supports in-database ML, however this performance has yet to exist extended to its Azure SQL and Azure SQL data Warehouse cloud service counterparts.

examine additionally: Google Cloud steps up storage video game to courtroom Hollywood

So BigQuery ML isn't a huge leap forward, but Google is forward of its chief cloud rivals in introducing it. i'm sure Microsoft will now bring assist for SQL Sever computing device getting to know functions to its Azure SQL carrier ASAP. I additionally might not exist shocked if AWS makes the same announcement by using Re:Invent 2018, in November, as in-database options aren't any longer rocket science. once competitors are in the video game, i am sure they will discern one upmanship when it comes to the depth and breadth of ML capabilities. As I've seen with past in-database initiatives, regression and logistic regression are only the start of what groups will are looking to carry out with the loads of statistics in their data warehouses.

Going plumb With AI options

Google Cloud had a mighty deal to claim about its associate ecosystem at Google next 18, and it even says it now has a dedication to consist of at the least one confederate in one hundred percent of its current offers. The traffic moreover pivoted at Google subsequent with the aid of deemphasizing products and focusing in its dwelling on options. it's a different signal of maturation to promenade along with Google's growth.

On the theme of playing to its strengths, Google made two different faultfinding announcements closing week on early examples in an expected wave of AI options built with partners. the first announcement became Contact core AI, which is designed to carry Google's digital agent capabilities -- together with speech-to-text, text-to-speech, natural language processing and Dialogflow computerized workflow -- into confederate title headquarters environments. Contact core AI is now in alpha free up, so customers can token in, but they're being screened for initial deployments. The list of companions is wide, together with Cisco, Genesys, Mitel, Twillio, Vonage and main techniques integrators.

examine additionally: GitLab strikes from Azure to Google Cloud Platform

The 2d AI solution announcement become a deliberate set of features with confederate Iron Mountain. Set for unencumber in September, these services will obtain Google's TensorFlow image and optical persona cognizance capabilities attainable to Iron Mountain's content analytics, archiving and storage customers. The services will champion shoppers comprehend what actual and digital files they've and, in line with Iron Mountain, it'll aid them create current services in response to AI-based figuring out of and access to this content material.

MyPOV on Google options: muster headquarters and doc-oriented services are about as huge as which you can salvage when it comes to options. Any traffic with a vast number of clients has a muster core and Iron Mountain has literally tons of of thousands of customers. Google additionally has a partnership with SAP, which is using TensorFlow for ML/DL options of its personal. however Google has infrequently scratched the floor where options are involved.

When enterprise application businesses interlard industry plumb options, they're usually drawing on years of adventure in dissimilar verticals. it exist now not bizarre to gaze these businesses roll out with half a dozen examples in an preliminary release, and they will fill at the least a number of greater on the roadmap. That Google introduced simply two options and had no roadmap for additional releases tells you it's very early days for this enterprise's options and plumb trade offerings.

My gauge tackle Google subsequent 18

reports imply that we're getting into a multi-cloud world, and, certainly, I've talked to a number of corporations that expend multiple public cloud company. essentially the most commonplace pattern I discern is corporations pile and working purposes on AWS. In fewer situations Azure is their primary cloud, but it's very often their alternative for electronic mail services and desktop functions by the expend of Microsoft office 365. When Google Cloud is within the mix, 9 instances out of ten I hear it become chosen for its facts platforms and ML/DL capabilities. Of route my sampling is biased precisely because these are my analysis domains. however, this is the key reason I admiration or not it's so significant for Google to play up its facts-to-choices strengths.

Google Next 18

Google Next 18

past the AutoML and BigQuery ML announcements, Google offered a number of other AI- and ML- connected announcements. Kubeflow, for instance, promises to assist comprehensive machine getting to know stacks on Kubernetes. And low-power aspect TPU (TensorFlow Processing Unit) chips plight to bring Google's DL wizardry to cellular and remote sensors and devices. thus i'd roar Google Cloud did an excellent job of doubling down on these strengths, however a pleasurable deal toil has to exist finished.

read additionally: Google Cloud expands Android commercial enterprise software

while Google has focused on democratizing data science with AutoML, AWS appears to fill extra to claim about end-to-end model administration with SageMaker. Microsoft, meanwhile, is addressing mannequin management as well as facts and model lineage and governance with Azure laptop discovering. as the variety of models and models mounts, mannequin management and information lineage and governance develop into more and more essential. backyard of the basic topic of protection, I did not hear tons about these issues at Google next. As for AI solutions, the partnerships with Iron Mountain, SAP and talk to headquarters vendors are a birth, however the enterprise is obviously at the start of the runway where AI-based mostly traffic options are worried.

connected analysis:

How the Walmart-Microsoft partnership builds on the 4 strategic topics for digital transformation | real Questions and Pass4sure dumps

Walmart and Microsoft lately announced a five-yr strategic partnership to extra quicken up digital innovation in retail. This comes as an incredible announcement each for observers of the cloud wars in addition to observers of the continuing digital transformation in retail. The contract will leverage a big groundwork of Microsoft’s cloud, AI and IoT options for Walmart’s business-large expend – including a substantial gain of exterior customer-facing functions and inner company applications.

To ascertain one of the crucial particulars within this agreement, I currently spoke with Karen Garrette, Microsoft’s international lead for retail method, to gain some first-hand insights and to determine how their approach maps to the four strategic topics for digital transformation – a framework I researched and developed in ”gaining knowledge of Digital company” to champion decode the digital DNA of world-main agencies.

A platform company mannequin developed on Azure

the primary strategic theme for world-leading digital corporations relates to using platform enterprise fashions to give a digital core and to allow permissionless innovation across an ecosystem of components. These fashions additionally permit businesses to circulation from linear cost chains to multi-dimensional cost networks. At their core is a digital platform that provides a cloud basis, security and governance, facts and analytics, service catalog, service integration and administration, and industry services and microservices.

within the 5-yr settlement, Walmart has chosen the total latitude of Microsoft cloud options, together with Microsoft Azure and Microsoft 365 to “additional accelerate Walmart’s digital transformation in retail, empower its associates global and obtain looking quicker and easier for thousands and thousands of valued clientele everywhere.”

in accordance with Microsoft’s Garrette, the Walmart-Microsoft team is taking a modular approach to constructing out capabilities and plans a wide set of cloud initiatives together with customer-dealing with and inside functions so as to utilize AI, analytics, information platform, desktop studying, IoT and many different capabilities in assist of and in addition to in-shop and associate functions.

building on the Azure platform will give the pliability, safety and scalability that Walmart must serve its almost 270 million shoppers and about 2.three million associates global. while Microsoft isn't yet sharing particulars on the companion ecosystem, it’s limpid this could play a key portion sooner or later mannequin as well.

main practices in company innovation

leading practices in innovation are significant to champion align the company innovation engine with the desires and objectives of digital transformation and to assist the suggestion of relocating from theory-centricity to exploring “where to play” and “the artery to scale” to maximise effects.

in response to Garrette, Microsoft has changed the artery it brings innovation to clients considerably in recent years and focuses heavily on customer co-innovation and collaboration. The Walmart-Microsoft teams may exist focused on themes such as the artery to obtain searching quicker and less complicated for clients, the artery to empower employees with the newest tools, the artery to leverage the cloud to deliver functionality into current markets (as opposed to van-beginning), how to leverage IoT to reduce power utilization for linked HVAC and refrigeration instruments in hundreds of U.S. stores, and the artery to result machine researching when routing hundreds of vans in the provide chain.

To deportment this co-innovation, Microsoft will leverage its on-web site engineers to toil through expend circumstances and situations with Walmart pals and discipline exist counted experts and may utilize a number of collaboration options including ideation workshops and entry to a “full gain of tools including Microsoft office Analytics, Microsoft promenade and Microsoft OneDrive.”

The power of technology combinations

This strategic theme relates to the proposal of relocating from discrete applied sciences to the energy of technology mixtures to carve out ingenious value propositions for consumers.

The capitalize of the Walmart-Microsoft partnerships’ platform manner by artery of Azure is that every one these technology add-ons can toil seamlessly together and can tie in to a typical data platform for insights and analytics. This helps to velocity construction and deployment and will permit the group to headquarters of attention on the optimization of their know-how-enabled expend instances as antagonistic to working on the plumbing and integration.

as an instance, in making expend of its computer getting to know algorithms to Walmart’s expend instances, Microsoft already has the algorithms, so its extensive R&D group might exist concentrated on working in conjunction with Walmart to optimize these algorithms, so the fashions salvage smarter and exist trained to recognize physical items, americans and the like. The researching time is contingent upon the complexity of each and every expend case however is typically completed in days or weeks as hostile to months.

Digital functions mastery

Digital functions mastery is about the concept of affecting from discrete recommendations to digital assembly lines to quicken up digital carrier construction and deployment. The purpose is to iterate impulsively and always to salvage current performance in the fingers of conclusion clients to constantly strengthen your digital value proposition and the digital consumer experience.

Microsoft is taking this agile and iterative manner even in opposition t big-scale, multi-yr digital transformations. in accordance with Anand Eswaran, corporate vice president, commercial enterprise, in a separate of his recent blogs, “Digital transformation isn’t a pair of separate tremendous advanced assignment. You delivery small, which no longer only begins the process, but has the potential to shape your experience.”

He notes that “probably the most crucial issue to exist sensible is that you simply’ve received to salvage going on this collection of micro-revolutions these days. every revolution is a step that accrues to the broader goal of digitally remodeling the product, altering the style you toil and connecting with your shoppers in a different way. And before you are sensible of it, you’ve launched into your perennial suffer of wonderful disruption.”

average, I trust this combination of an international-leading retailer and an international-leading utility enterprise will yield effective advantages for the partnership in the years ahead. The partnership is taking the long-view round digital transformation with a 5-yr deal that will enable them to seriously change each the client event as smartly as the event for buddies.

past the Azure platform and the enabling technologies comparable to AI, desktop getting to know and IoT, the partnership has moreover set into region the usurp capabilities for achievement together with a collaborative approach to continual innovation and an agile and iterative approach to rolling out current functions and functions. With the cloud wars and digital disruption of retail in full swing, it could exist exciting to peer what’s across the corner.

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70-536-VB Framework 2.0-Application(R) Develop Foundation

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Arizona-Education [1 Certification Exam(s) ]
ARM [1 Certification Exam(s) ]
Aruba [6 Certification Exam(s) ]
ASIS [2 Certification Exam(s) ]
ASQ [3 Certification Exam(s) ]
ASTQB [8 Certification Exam(s) ]
Autodesk [2 Certification Exam(s) ]
Avaya [95 Certification Exam(s) ]
Axis [1 Certification Exam(s) ]
Banking [1 Certification Exam(s) ]
BEA [5 Certification Exam(s) ]
BICSI [2 Certification Exam(s) ]
BlackBerry [17 Certification Exam(s) ]
BlueCoat [2 Certification Exam(s) ]
Brocade [4 Certification Exam(s) ]
Business-Objects [11 Certification Exam(s) ]
Business-Tests [4 Certification Exam(s) ]
CA-Technologies [21 Certification Exam(s) ]
Certification-Board [10 Certification Exam(s) ]
Certiport [3 Certification Exam(s) ]
CheckPoint [40 Certification Exam(s) ]
CIPS [4 Certification Exam(s) ]
Cisco [315 Certification Exam(s) ]
Citrix [46 Certification Exam(s) ]
CIW [17 Certification Exam(s) ]
Cloudera [10 Certification Exam(s) ]
Cognos [19 Certification Exam(s) ]
College-Board [2 Certification Exam(s) ]
CompTIA [74 Certification Exam(s) ]
ComputerAssociates [6 Certification Exam(s) ]
CPP-Institute [1 Certification Exam(s) ]
CSP [1 Certification Exam(s) ]
CWNA [1 Certification Exam(s) ]
CWNP [13 Certification Exam(s) ]
Dassault [2 Certification Exam(s) ]
DELL [9 Certification Exam(s) ]
DMI [1 Certification Exam(s) ]
ECCouncil [21 Certification Exam(s) ]
ECDL [1 Certification Exam(s) ]
EMC [127 Certification Exam(s) ]
Enterasys [13 Certification Exam(s) ]
Ericsson [5 Certification Exam(s) ]
Esri [2 Certification Exam(s) ]
ExamExpress [15 Certification Exam(s) ]
Exin [40 Certification Exam(s) ]
ExtremeNetworks [3 Certification Exam(s) ]
F5-Networks [20 Certification Exam(s) ]
FCTC [2 Certification Exam(s) ]
Filemaker [9 Certification Exam(s) ]
Financial [36 Certification Exam(s) ]
Fortinet [12 Certification Exam(s) ]
Foundry [6 Certification Exam(s) ]
Fujitsu [2 Certification Exam(s) ]
GAQM [8 Certification Exam(s) ]
Genesys [4 Certification Exam(s) ]
GIAC [15 Certification Exam(s) ]
Google [4 Certification Exam(s) ]
GuidanceSoftware [2 Certification Exam(s) ]
H3C [1 Certification Exam(s) ]
HDI [9 Certification Exam(s) ]
Healthcare [3 Certification Exam(s) ]
HIPAA [2 Certification Exam(s) ]
Hitachi [28 Certification Exam(s) ]
Hortonworks [4 Certification Exam(s) ]
Hospitality [2 Certification Exam(s) ]
HP [744 Certification Exam(s) ]
HR [2 Certification Exam(s) ]
HRCI [1 Certification Exam(s) ]
Huawei [21 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IAAP [1 Certification Exam(s) ]
IBM [1520 Certification Exam(s) ]
IBQH [1 Certification Exam(s) ]
ICAI [1 Certification Exam(s) ]
ICDL [6 Certification Exam(s) ]
IEEE [1 Certification Exam(s) ]
IELTS [1 Certification Exam(s) ]
IFPUG [1 Certification Exam(s) ]
IIA [3 Certification Exam(s) ]
IIBA [2 Certification Exam(s) ]
IISFA [1 Certification Exam(s) ]
Intel [2 Certification Exam(s) ]
IQN [1 Certification Exam(s) ]
IRS [1 Certification Exam(s) ]
ISA [1 Certification Exam(s) ]
ISACA [4 Certification Exam(s) ]
ISC2 [6 Certification Exam(s) ]
ISEB [24 Certification Exam(s) ]
Isilon [4 Certification Exam(s) ]
ISM [6 Certification Exam(s) ]
iSQI [7 Certification Exam(s) ]
ITEC [1 Certification Exam(s) ]
Juniper [63 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [23 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
Maintenance [2 Certification Exam(s) ]
McAfee [8 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [25 Certification Exam(s) ]
Microsoft [362 Certification Exam(s) ]
Mile2 [2 Certification Exam(s) ]
Military [1 Certification Exam(s) ]
Misc [1 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NCLEX [2 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [36 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [6 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [262 Certification Exam(s) ]
P&C [1 Certification Exam(s) ]
Palo-Alto [4 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
Pegasystems [11 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [15 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [6 Certification Exam(s) ]
PRMIA [1 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
QlikView [1 Certification Exam(s) ]
Quality-Assurance [7 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real-Estate [1 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [8 Certification Exam(s) ]
RSA [15 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [5 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [1 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [1 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [133 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [6 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [32 Certification Exam(s) ]
Vmware [57 Certification Exam(s) ]
Wonderlic [1 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]

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