Category Archives: Cloud Servers
Discover the Power of VUNO’s AI Solutions at ECR 2020 – PRNewswire
ECR, one of the leading events in the field of radiology, will be joined by industry experts, medical & healthcare professionals, modality manufacturers and solutions developers, etc. In the light of the COVID 19 epidemic, the congress organizers have decided to opt for an online-only event. With about 2,100 leading industry representatives onboard, the exhibition of ECR 2020 can be accessed from 08:00 a.m. July 15 to 21, until 11:55 p.m. CEST. Free registration & participation is available on the ECR 2020 Virtual Exhibition website. (https://ecr2020.expo-ip.com/).
VUNO's exhibition at the event will include VUNO MedLungCT AI that detects, locates, and quantifies pulmonary lung nodules on CT images, VUNO Med-Chest X-Ray that assists in the chest X-ray readings of common thoracic abnormalities on chest radiographs. VUNO Med-DeepBrain is a diagnostic supporting tool for degenerative brain diseases through brain parcellation & quantification on brain MR images.
On top of the three solutions to be showcased at this event, VUNO has two other solutions that have gained CE certifications recently- VUNO Med-BoneAge and VUNO Med Fundus AI. All these five products are now available to be marketed in countries where CE marking is acceptable.
VUNO Med solutions are designed to be agnostic to any devices and any environments offering seamless integration with any PACS and/or EMR systems. They are offered via cloud servers allowing users to analyze images anytime, anywhere with access to the Internet. They are also available through on-premise installations as well.
VUNO has the highest number of clients with more than120 medical institutions in Korea alone. With its huge successes under its belt rooted in the proven effectiveness and safety through clinical trials and practices, the company is embarking on a new endeavor to proclaim its technical prowess in overseas markets now by signing partnerships with global healthcare giants like M3, a SONY subsidiary and Japan's largest data platform company.
For more detailed information on VUNO, visit https://www.vuno.co/.
SOURCE VUNO lnc.
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Discover the Power of VUNO's AI Solutions at ECR 2020 - PRNewswire
Evaluate the top hybrid cloud providers – TechTarget
While the Big Three dominate the IaaS market, the hybrid cloud market is open to cloud hyperscalers and on-premises infrastructure providers alike because it combines public cloud, private cloud and traditional on-premises computing.
Hybrid cloud is popular among enterprises, with 87% saying they have a hybrid cloud strategy, according to the Flexera "2020 State of the Cloud Report." It can be a good way for organizations to start cloud computing -- it keeps users compliant and cloud costs in check.
However, picking the right hybrid cloud vendor is different than choosing a public cloud vendor. The Big Three public cloud platforms -- AWS, Microsoft Azure and Google Cloud Platform (GCP) -- have their differences, but for the most part it's still an apples-to-apples comparison.
Hybrid cloud platform comparisons are more apples-to-oranges. When choosing a hybrid environment, an organization's approach can be based upon a few different situations. A more traditional enterprise may opt for hybrid cloud because it wants greater scalability but doesn't want to rearchitect its legacy software for the public cloud. On the other hand, a cloud-first enterprise may opt for a hybrid model to run and house expensive machine learning data and analytics on private hardware.
Get to know some popular hybrid cloud options -- including those from IaaS vendors and traditional infrastructure providers -- as well as their services and capabilities.
IBM and Red Hat focus their hybrid cloud capabilities around IBM Cloud and the Red Hat Cloud Suite. IBM still has a public cloud, though it doesn't have the same reach as the Big Three's offerings. Instead, it and Red Hat, which IBM acquired in 2019, focus higher up the stack on platforms, applications and tools that facilitate hybrid cloud, even offering services that work directly with AWS, Azure and GCP.
IBM Cloud includes a suite of services, including IBM Cloud Pak and IBM Cloud Satellite, that enables you to run workloads on private and public clouds and edge locations, as well as in Kubernetes and VMware vSphere environments. And with recent investments in Red Hat OpenShift on IBM Cloud, there are more options for enterprises to develop and deploy modern applications with IBM Cloud.
The Red Hat Cloud Suite offers multiple services you can use to build and manage a hybrid cloud. With the Linux-based RedHat OpenStack Platform, you can build your own public and private clouds, and manage them with Red Hat CloudForms. The previously mentioned Red Hat OpenShift is a flexible Kubernetes container platform you can use to manage hybrid cloud deployments. You can build applications and run workloads on Red Hat OpenShift and then host those OpenShift clusters on premises, or on IBM Cloud, AWS, Microsoft Azure or GCP.
Like IBM and Red Hat, VMware and Dell EMC don't have a popular cloud IaaS as a foundation to build a hybrid cloud offering. However, VMware did partner with AWS to offer VMware Cloud on AWS, a hybrid service that organizations can use to run VMware workloads on AWS' public cloud.
It took a few years for AWS to even acknowledge the hybrid cloud model, let alone create services specifically for this type of architecture. VMware Cloud on AWS wasthe first major hybrid cloud offering available on Amazon's cloud, as it was co-developed by the two companies. This service is a good fit for enterprises with investments in VMware workloads that also need cloud scalability.
VMware also offers its own hybrid cloud platform with VMware Cloud Foundation. Built on VMware compute, storage and networking, Cloud Foundation brings Kubernetes and VMs together to automate builds to private and public clouds. Cloud Foundation is designed to give developers and administrators some of the flexibility and agility of the cloud, with the same VMware technologies they're used to.
Dell EMC tackles hybrid cloud in a few different ways, many of which tap into Cloud Foundation and VxRail. It offers the Dell EMC Hybrid Cloud Platform, which essentially provides hybrid and multi-cloud as a service. Its main benefit is its single vendor experience. It runs AWS, Azure, GCP and other cloud platforms from one central hub.
There's also the Dell Technologies Cloud Platform, also called Cloud Foundation on VxRail. This is a data center device that integrates Cloud Foundation with on-premises infrastructure to link workloads together in one platform. With this service, you can port workloads between on premises, private clouds and public clouds, and it includes automated lifecycle management to launch applications.
AWS Outposts is an on-premises device installed and operated by AWS. IT teams use it to host and provision AWS resources -- like EC2 instances and Elastic Block Store (EBS) volumes -- on premises the same way they do in the cloud. This is good for AWS-invested organizations that need to move workloads in house or want to sync their on-premises and cloud infrastructure.
Outposts must connect to AWS' public cloud to work. When provisioned, it links with the nearest Region through AWS Direct Connect or an internet gateway. Outposts supports some basic AWS services like EC2, EBS and some container-based services, but it does not yet support S3, SageMaker, or Lambda, among others.
Microsoft Azure offers a few different ways to build a hybrid cloud. Azure Stack, similar to AWS Outposts, is a on-premises device with which users can extend an Azure public cloud environment into a local data center or other privately owned locations. This suits organizations that may need to move applications between on premises and the cloud, for latency or compliance reasons.
There are three variants to Azure Stack.
Like AWS Outposts, Azure Stack has some limitations in terms of what cloud offerings are available on premises, but it offers more cloud-native services than its AWS counterpart.
Azure Arc is a hybrid cloud management platform, which is in public preview at time of publication. It's a collection of services and management portals that bring Azure Resource Manager capabilities to Linux and Windows Server VMs, as well as Kubernetes clusters. Enterprises can then manage all their resources -- on premises or in the cloud, containers or VMs -- from Azure Arc.
The Azure Hybrid Benefit allows on-premises Windows Server customers to run Azure VMs at a reduced rate.
GCP runs a container-forward hybrid cloud strategy. Google Anthos is a hybrid cloud platform that runs versions of Google Kubernetes Engine (GKE) in Google's cloud and in an enterprise's on-premise vSphere environment. It also relies on service mesh technology, as well as configuration and security management tools. This enables enterprises to have a centralized view of their applications across unified environments.
Anthos is a way traditional enterprises can begin to modernize their applications and processes with containers. Cloud-forward organizations can also use it to move workloads on premises for compliance and security.
Google Cloud also offers hybrid cloud integrations with Cisco, VMware Cloud Foundation and CloudSimple, a VMware-to-cloud migration service Google acquired in late 2019.
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Evaluate the top hybrid cloud providers - TechTarget
Why Businesses Are Implementing Edge Analytics in Their Line of Work – RTInsights
Many businesses are now exploring how edge analysis is different from conventional data processing solutions and how it could be beneficial to their operations.
Edge analytics introduces and brings up an approach to dataanalysis in which a preset analytical calculation is executed on data insteadof transferring it back to a consolidated data store. It makes sure that theprocess of data collection, processing, and survey is carried out right at theedge of a network in real time. This allows business enterprises to setrequired bound and strictures on which information is worth conveying to anon-premise or a cloud data pool for future use. Ever since edge analytics hascome into play, solutions providers around the world have been taking recourseto the approach, along with cloud, in order to deal with piles of IoT data.
A number of researches have been conducted, and researchteams across the world have come up with best insights and intuitions aboutedge analytics. When it comes to putting up a strong IoT solution, edgeanalytics strategies have proven to be beneficial in more than one way. Some edge analytics benefits offered to businessesinclude:
Faster pace: Formost of the business organizations, speed or pace is considered as the mostimportant parameter to their core business. For example, the dependency of afinancial venture on high-bandwidth exchange procedures means that aninterruption of mere milliseconds can end up giving way to undesirableconsequences. In the healthcare sector, losing track of even a few seconds can leadto dire sequels. And, for companies that offer data-related services to consumers,dawdling speed can prove to be mayhem, as it would disappoint the customers andcause indelible damage to the brand. So, quite naturally, speed is no longerjust a viable advantage; rather, it is one of the best practices every businessshould hold on to.
At the same time, the most significant advantage of edgecomputing is its aptness and potential to shoot up network performancebyminimizing unwanted remission and suspension. The fact thatIoTedge computing devices happen todevelop data sectionally curtails theneed for the collected information to travel as far as it would have to under aconventionalcloud structure.
Flexibility: As business enterprises start growing, its not alwayspossible for them to perfectly calculate the IT infrastructure essentials, and settingup a keen and out-and-out data center is also a big-budget proposition. Theadvancement in cloud-based technology and edge computing, however, have made itpretty much hassle-free for enterprises togauge their operations. Gradually,calculating, loading, and analytics capabilities are being rolled into expedientswith smaller footprints. Edge analytics allows organizations to magnify andmultiply the networks scope and abilities.
Reliability: Whilethe propagation of IoT edge computing strategies escalates the attack surfacefor networks, it also doles out an array of security leads. The conventionalcloud computing structure is innately consolidated, which makes it quite susceptibleto DDoS (Distributed Denial of Service)attacks and power disruptions.Edge computing metes out dispensation, storage, and applications across a widevariety of data centers, which makes it difficult for any single interferenceto dismantle or affect the network.
Adaptability: Theadaptability and flexibility of edge analytics alsomake it extremelyversatile. By consorting and associating with local edge data centers, businessventures can now easily fix on appropriate markets without having to capitalizein costly infrastructure development. Edge data centers make it possible forthem to serve the end-users competently with minimum latency. This has provedto be highly useful for content providers looking to drop-shipnon-stopstreaming services. Simultaneously, it also endows IoT devices to accumulate considerableamounts of actionable data. Instead of awaiting resources to log in with their devicesand connect with integrated cloud servers, edge computing devices are always tetheredin and always engendering data for future examination.
Now,coming to edge architecture, the deployed devices are categorized into threedifferent types, namely edge devices, edge gateways, and edge sensors &actuators. As versatile devices, edge devices tend to flick full-grownoperating systems. The example of Android or Linux can be cited in this regard.After they obtain the data from respective sensors, they run a computation onthe same and send the required information to actuators. They canalso be bridged to the cloud either directly or through the facilitation of anedge Gateway.
Edge gateways, on the other hand, have an untrammeledpower supply, greater CPU power, and advanced repository system. Hence, theycan act as mediators between the Edge Devices and cloud, thereby providingadded location management services.
These devices pass on particular divisions of raw or pre-treated IoT data to services running in the cloud, including storage amenities, machine learning, or interpretative services. They accept special directives from the cloud, such as alignments, data inquiries, or machine learning prototypes. Edge sensors are special-purpose devices connected to the gateways directly or via energy-efficient radio technologies.In the last few years, edge analytics has started going deeper and paved the way for the next-gen technology. With this high-end advancement on board, machine learning and deep learning have also gone through numerous planes of representation via neural networks that have already been in use for decades.
Now, the questionarises, if deep learning procedures used in edge analytics capitulate more competentand more effective results. According to some recent surveys done in thismeasure, all the implied IoT efforts would ultimately combine streaming datawith machine learning, hastened by distinct or cohesive processors. By incorporatingdeep learning with edge analytics, devices have now become able to sieve redundantdata in a more effective manner, thereby saving money and time to a significantextent. Here, its worth mentioning that one of the most propitious domains of assimilatingedge analytics and machine learning is video analytics.
However, the fundamentalidea is that edge analytics enacts disseminated video data filtering, and takesinto consideration the documented & chronicled data from the camera and executesthe required calculations in real-time. Once the smart identification featuresof a single camera are increased, and the cloud computing processing gets enabled,the infiltration efficiency rises to a significant extent, thus turning downthe manpower requirements simultaneously.
Neural network algorithms incorporated into frontend cameras can extricate required data from a human, vehicle, and other objects, which, in turn, help in perking up the perfection as well as precision of video analytics. Moreover, relocating analytics processing from backend servers and placing them into the cameras require end-users to be provided with appropriate real-time data analysis. Edge analytics helps in identifying anomaly behavior and alerts for emergency incidents, which, otherwise, wouldnt have been possible with backend servers.
The petroleum companies have also started using digitaltechnologies like edge analytics for oil and gas equipment to keep an eye onthe entire surveillance process and enrich productivity in the manner. Downtimefor any manufacturing venture can be detrimental to its productivity. Also, interms of cost, downtime proves to be really worse. According to several studies,oil and gas operators canincur a huge loss onaccount of downtime.And, this downtime mostly ensues as a result of equipment failures. Petroleum organizationsare now taking recourse to IoT devices and sensors to constantly accumulatedata about their equipment and evaluate & invigilate them frequently. Atthe same time, with the rise in the deployment of IoT devices, the number ofcollected data is also increasing to a significant extent, and simultaneously,the need for them to be stored in the cloud has also soared up. Thus, petroleumcompanies arekeeping their IoT data on par with edgeanalytics. This way, when the cost of the transfer can be reduced, thechance for any sort of equipment failure can also be predicted in advance.
IoT sensors are fabricating a constant beck of data that cannotbe properly managed with the help of age-old storage systems and technologies. Therefore,businesses have started relying on cloud to store the same. However, transmittingdata to the clouds and back to the respective ventures is quite costly, as it callsfor large bandwidth. Here, edge technology comes as a savior by making dataavailable locally. It means that enterprises can then determine whether to drivethe data to clouds or remove the same if its inappropriate.
For example, Olea Edge Analyticsis set to announce new softwareand hardware for dredging up damaged water meters. As stated in a news release,Olea has suggested placing optical, revolving, and quivering sensors on watermeters, so as to when one device declaims the meters dial, the other one candetect the water flow in the pipe and keep an eye on the meters rotation. Thesensors are also attached to an EdgeWorks software platform with deep learningcomputations the edge computing module of the system which, in turn, givesproper speculation about how a meter is erroneous, and how it can be fixed.
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Why Businesses Are Implementing Edge Analytics in Their Line of Work - RTInsights
Smart Education and Learning Market 2020 Global Size, Top Leaders, Analytical Overview, Business Growth, Sales Revenue and Forecast 2023 – Sports…
Market Research Future published a research report on Smart Education and Learning Market Research Report- Global Forecast 2023 Market Analysis, Scope, Stake, Progress, Trends and Forecast to 2023.
Smart Education and Learning Global Market Overview
The global smart education and learning market is poised to surpass USD 952 billion at a staggering 26% CAGR over the assessment period (2017-2023). Smart education and learning aim to provide students with holistic learning through modern technology to prepare them fully for a world that is fast-changing and where adaptability is essential. It uses state-of-the-art technology to help both teachers and learners to prepare themselves well for tomorrow. Through advanced learning methods namely smart phones, cloud servers and virtual learning environment, teachers can aid students to gain more from their learning. Educational institutions are using advanced teaching tools and methods such as smart notebooks, projectors and boards that improves the students understanding and thereby offer them with a clear view regarding what to learn. Most importantly coordination between education material, software innovator and hardware provider are making the learning process simpler for students.
There are plentiful factors that is boosting the growth of theSmart Education and Learning Market. These factors as per the Market Research Future (MRFR) report include improved education quality, easy access to educational content, growing use of consumer electronics namely e-learning apps, laptops, e-readers and smartphones, increased demand amid learners and instructors to improve quality of education, and reduce time constraints that are faced by aspirants. The additional factors that are propelling market growth include rapid use of mobile technology, enhanced internet accessibility and increasing penetration of IoT that are encouraging users to use smart education solutions. Moreover, innovative techniques namely adaptive learning, microlearning and Massive Open Online Courses are also improving the overall learning method that is predicted to boost the market growth over the assessment period. On the contrary, lack of awareness amid end users regarding latest technologies, budget constraints and inadequate resources to deliver quality education are factors that may hinder the growth of the smart education and learning market over the assessment period.
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Key Players
The prominent players in the Smart Education And Learning Market are Adobe Systems Inc. (U.S.), Blackboard (U.S.), Educomp (India), Cisco Systems Inc. ( U.S.), McGraw-Hill Education (U.S.), NIIT Limited (India), Pearson Plc. (U.K.) Desire2Learn (Canada), SumTotal System, Inc. (U.S.), Smart Technologies (Canada), Ellucian Company L.P (U.S.), Tata Interactive Systems (India), Promethean Inc. (U.K.), Saba Software Inc. (U.S.), among others.
Market Segmentation
MRFR report provides an extensive segmental analysis of the smart education and learning market on the basis of hardware, software, application, service, organization size and deployment.
Regional Analysis
By region, the smart education and learning market covers growth opportunities and latest trends across Asia Pacific, Rest of the World, the Americas, and Europe. Of these, the Americas will domineer the market due to growing need for high-tech learning methods coupled with introduction of AI technology in the regions education system. The smart education and learning market in the APAC region are anticipated to grow at a faster pace due to growing use of advanced technology via the education system that is rapidly evolving especially in the regions developing economies. The smart education and learning market in Europe will expand significantly due to growing government investments for the growth of the education sector here and easy adoption of teaching techniques that are technologically advanced. In the Middle East and Africa, various initiatives are undertaken for the development of the education sector here. In fact, the developing regions are laying emphasis on using advanced technology to upgrade the learning methods in the education sector.
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At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
Get Off the Cloud With Start9’s Private Internet Kit – CoinDesk – CoinDesk
A Colorado company is betting it can make the decentralized web more accessible with a no-frills server you can install in your own home.
Start9 Labs Embassy server, housed in a Raspberry Pi, sets up its own private internet network and comes with its own operating system as well as an expanding range of services such as bitcoin transactions, messaging and password management that cut out middlemen and use the Tor network to communicate.
People use the Tor network because it makes it incredibly difficult to trace internet activity to a user, encrypting it multiple times and hiding a users location. But Tor can be hard to navigate for those who arent tech savvy. Thats why Start9 Labs is betting on Embassys no-frills operating system, Ambassador which handles server setup, owner authentication, networking and the installation, configuration and serving of decentralized apps to make the decentralized web more accessible and popular.
[Its] net-connected hardware that will all be networked together on a private internet, rather than each of those devices feeding all your private data to whatever cloud provider sold you that device, said Matt Hill, co-founder of Start9 Labs.
Start9 Labs is not building on Web 2.0, but rather hijacking that infrastructure so people can run their own private networks. To build a new internet from the ground up requires a physical hardware device in every single home, said Hill. The Embassy server is a first step in that direction.
If this seems abstract and esoteric, consider the recent security law China has imposed on Hong Kong, essentially criminalizing some forms of thought, expression and speech, in response to pro-democracy protests that raged there last year. Google, Twitter and Facebook stopped reviewing requests for user data from Hong Kong by law enforcement while evaluating the law. But these companies still control reams of user data, much of it intimately linked to users thoughts and speech. The Embassy server and the services built into it by design dont allow such companies access to data.
We are building this company and this product in such a way that it actually can't be censored.
We are building this company and this product in such a way that it actually cant be censored, cant be subpoenaed for anything, said Hill. Its important to us that if somebody says, Stop doing what youre doing, our response is, Honestly, we cant.
Hill and co-founder Keagan McClelland recently appeared on a Coin Center podcast with Peter Van Valkenburgh to discuss the need for privacy tech. They noted that troublesome centralization comes in many forms, be it Gmail or exchanges like Coinbase, which serves as the intermediary for millions of cryptocurrency transactions. They want to change that.
Hill pitches his kit as an easy, out-of-the-box solution for accessing your private network. So I tried it out with one of the Embassy servers. Privacy-focused tech is often more difficult than conventional tech to understand and use. Youre replacing streamlined user interfaces on apps like Facebook with something more minimalist that doesnt abuse your data. But I was able to set up the Embassy following the four simple steps it laid out, and access the Start9 Embassy app in Apples App store.
Soon after, I was using the Cups messenger service, which looks like a standalone app on my homescreen, to ping Hill a message from my unique Tor address to his, authenticated with our private keys through the Ambassador OS.
Cups doesnt currently have push notifications, and there is a bit of a lag. But it functions just fine, was easy to operate and there is no middleman to snoop on our messages. It was just me and Hill, communicating through our own private servers.
The Embassy server currently costs $200, but Start9 Labs is going to be releasing the specs online, so anyone can build it. The software is all open source, and people can build apps to add to it. The goal, said Hill, is to create tech that could live on even after the company may be gone.
If we go away, our spirit continues, there is no killing were doing, said Hill. We are a company, so it can be forcibly closed. But the technology that has been developed lives on as though nothing happened. Its open source software running on commodity hardware. How do you stop that?
The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.
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Get Off the Cloud With Start9's Private Internet Kit - CoinDesk - CoinDesk
Windows PCs will have to follow Apples switch to ARM, says former Mac chief – 9to5Mac
Apples former head of Mac development, Jean-Louis Gasse, has said that Apples decision to switch to ARM processors for Macs will make it inevitable that higher-end Windows PCs will have to do the same.
This will in turn force Intel to start making their own ARM CPUs for use in Windows machines, he argues
Gasse left Apple in 1990, but played an extremely influential role in the future of the Mac as the man who shelved the companys plans to license macOS to other manufacturers. He makes his case in a blog post.
First, he says, there is every reason to believe Apples claims that ARM processors will offer more power and greater battery life.
According to Geekbench tests, A12Z performance matches or exceeds my MacBook Pro. Apple doesnt disclose the TDP for the A12Z processor, but we can rely on an indirect number, the iPad Pros 18W power adapter output. This gives us an idea of what to expect from Apple Silicon in future Macs: Significantly lower TDP without losing processing power.
Next, throughput. Given what we see with todays A12Z, one cant imagine tomorrows Apple Silicon Macs providing less than a 25% throughput advantage against corresponding x86 PCs. Admittedly, these are speculative, broad strokes assumption for Apple Silicon Macs think faster, svelter laptops actually lasting 10 hours on a battery charge. If not, once again, why bother burning the billions?
Microsoft will not be able to sit back and watch Apple take the lead with the most powerful PCs on the market, and nor will third-party brands making Windows machines.
This leaves Microsoft with a choice: Either forget Windows on ARM and cede modern PCs to Apple, or forge ahead, fix app compatibility problems and offer an ARM-based alternative to Apples new Macs. Its a false dilemma, of course. Microsoft will forge ahead with repercussions for the rest of the Windows PC industry.
Specifically, what are Dell, HP, Asus, and others going to do if Apple offers materially better laptops and desktops and Microsoft continues to improve Windows on ARM Surface devices? In order to compete, PC manufacturers will have to follow suit, theyll go ARM because, all defensive rhetoric aside, Apple and Microsoft will have made the x86 architecture feel like what it actually is: old.
The company has made a half-hearted attempt to make Surface machines with ARM processors, but they didnt run many apps, and werent a success.
Given that everyone will want ARM processors to run Windows, Intel will likewise have no choice.
This leaves Intel with one path: if you cant beat them, join them. Intel will re-take an ARM license (it sold its ARM-based XScale business to Marvell in 2006) and come up with a competitive ARM SoC offering for PC OEMs.
Gasse hadnt initially thought it possible for Apple to switchall its machines to ARM, but back in March said that TSMC had proven him wrong.
Ampere designs and sells high-powered ARM chips that compete with the Xeon processors used in cloud servers [] Ampere shows us that the ARM architecture can yield the class of chips a Mac Pro would need. And, as it happens, the chips are manufactured by TSMC, the same company that makes Apples Axx processors.
Whats your view? Do you think hes right that Windows machines will switch to ARM? Or will Microsoft miss the higher-performance PC boat the way it did the mobile one? Please let us know your thoughts in the comments.
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Windows PCs will have to follow Apples switch to ARM, says former Mac chief - 9to5Mac
Cloud Computing Server Market In-Depth Analysis, Drivers, Restraints, Opportunities, Threats, Latest Innovations, Applications, And Growth Forecast…
Global Cloud Computing Server Market report is to provide accurate and strategic analysis of the Profile Projectors industry. The report closely examines each segment and its sub-segment futures before looking at the 360-degree view of the market mentioned above. Market forecasts will provide deep insight into industry parameters by accessing growth, consumption, upcoming market trends and various price fluctuations.
Short Term Cloud Computing Server Market research reports growth rates and market value based on market dynamics, growth factors. Complete knowledge is based on the latest innovations in the industry, opportunities and trends. In addition to SWOT analysis by key suppliers, the report contains a comprehensive market analysis and major players landscape.
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Top Key Players Profiled in This Report:- Intel, IBM, Amazon Web Services (AWS), Microsof, Dell, Huawei, Oracle, Google Cloud Platform, Salesforce, Rackspace, SAP, Oracle, China Information Technology (CNT)
What this research report offers:
On the basis of the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate for each application, including:-
Banking, Financial Service, Insurance, Healthcare, Telecom and IT, Government, Public Utilities,
The report highlights several global regions such as North America, Latin America, Asia-Pacific, Africa, and Europe for the comparative study of the Short Term Cloud Computing Server Market. In terms of productivity North America is the leading region for the market sector. Additionally, it offers the demanding structure of services in the developing and developed countries.
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The demand within the Short Term Cloud Computing Server Market has been rising due to the several approaches like technology advancements and heavy competition. It covers different aspects of the businesses and represented by using several graphical presentation techniques such as graphs, charts, pictures, and diagrams.
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Cloud Computing Server Market In-Depth Analysis, Drivers, Restraints, Opportunities, Threats, Latest Innovations, Applications, And Growth Forecast...
Smart Education and Learning Market 2020 Global Industry Size, Key Players Analysis, Business Growth, Regional Trends and Forecast 2023 – Daily…
Market Research Future published a research report on Smart Education and Learning Market Research Report- Global Forecast 2023 Market Analysis, Scope, Stake, Progress, Trends and Forecast to 2023.
Smart Education and Learning Global Market Overview
The global smart education and learning market is poised to surpass USD 952 billion at a staggering 26% CAGR over the assessment period (2017-2023). Smart education and learning aim to provide students with holistic learning through modern technology to prepare them fully for a world that is fast-changing and where adaptability is essential. It uses state-of-the-art technology to help both teachers and learners to prepare themselves well for tomorrow. Through advanced learning methods namely smart phones, cloud servers and virtual learning environment, teachers can aid students to gain more from their learning. Educational institutions are using advanced teaching tools and methods such as smart notebooks, projectors and boards that improves the students understanding and thereby offer them with a clear view regarding what to learn. Most importantly coordination between education material, software innovator and hardware provider are making the learning process simpler for students.
There are plentiful factors that is boosting the growth of theSmart Education and Learning Market. These factors as per the Market Research Future (MRFR) report include improved education quality, easy access to educational content, growing use of consumer electronics namely e-learning apps, laptops, e-readers and smartphones, increased demand amid learners and instructors to improve quality of education, and reduce time constraints that are faced by aspirants. The additional factors that are propelling market growth include rapid use of mobile technology, enhanced internet accessibility and increasing penetration of IoT that are encouraging users to use smart education solutions. Moreover, innovative techniques namely adaptive learning, microlearning and Massive Open Online Courses are also improving the overall learning method that is predicted to boost the market growth over the assessment period. On the contrary, lack of awareness amid end users regarding latest technologies, budget constraints and inadequate resources to deliver quality education are factors that may hinder the growth of the smart education and learning market over the assessment period.
Get Free Sample Report @https://www.marketresearchfuture.com/sample_request/2870
Key Players
The prominent players in the Smart Education And Learning Market are Adobe Systems Inc. (U.S.), Blackboard (U.S.), Educomp (India), Cisco Systems Inc. ( U.S.), McGraw-Hill Education (U.S.), NIIT Limited (India), Pearson Plc. (U.K.) Desire2Learn (Canada), SumTotal System, Inc. (U.S.), Smart Technologies (Canada), Ellucian Company L.P (U.S.), Tata Interactive Systems (India), Promethean Inc. (U.K.), Saba Software Inc. (U.S.), among others.
Market Segmentation
MRFR report provides an extensive segmental analysis of the smart education and learning market on the basis of hardware, software, application, service, organization size and deployment.
Regional Analysis
By region, the smart education and learning market covers growth opportunities and latest trends across Asia Pacific, Rest of the World, the Americas, and Europe. Of these, the Americas will domineer the market due to growing need for high-tech learning methods coupled with introduction of AI technology in the regions education system. The smart education and learning market in the APAC region are anticipated to grow at a faster pace due to growing use of advanced technology via the education system that is rapidly evolving especially in the regions developing economies. The smart education and learning market in Europe will expand significantly due to growing government investments for the growth of the education sector here and easy adoption of teaching techniques that are technologically advanced. In the Middle East and Africa, various initiatives are undertaken for the development of the education sector here. In fact, the developing regions are laying emphasis on using advanced technology to upgrade the learning methods in the education sector.
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How Tencent is bringing the storm clouds to arch-rival Alibaba – Tech Wire Asia
Tencents not holding back on cloud. Source: Shutterstock
Amid the tidal shift to remote working and the need to develop apps and systems to help contain the outbreak going forward, the services of Chinas cloud giants have been indispensable in the last few months. Leaders Alibaba Cloud and Tencent have been charitable the former offered has its computational platforms and resources available to tens of research groups to accelerate data-heavy drug development and vaccine discovery but the demands of the COVID-19 pandemic have reaffirmed the need for cloud computing among customers, and proven hugely lucrative for those cloud leaders.
The circumstances have also opened up new opportunities. The benefits of the long-emerging telehealth sector have been thrown into the spotlight: Alibaba revealed that its AliHealth app, hosting over 1,000 doctors, has been receiving over 3,000 consultation requests per hour at the peak of the pandemic, while Chinese Tencents Wedoctor app had served up to 1.5 million consultation services by the end of February.
Eyes are on automation, too. COVID-19 has provided the watershed moment for investment into automation technology such as robotics to get serious in sectors like manufacturing and logistics. Cloud computing will be a backbone.
As reported by Reuters, this technological inflection point though ripe with cloud-driven opportunity is leading to more fierce competition than ever between Chinas tech titans, and contender Tencent is taking every opportunity to steal ground across Asia and beyond from world heavyweight Alibaba Cloud, which dominates its home market and currently ranks fourth worldwide in the public cloud tables, behind AWS, Azure and Google Cloud.
Tencent last month also announced the launch of a smart city project. The Shenzhen-based smart campus will leverage technologies including 5G connectivity, big data, artificial intelligence (AI) and automation in a bid to show whats possible with these initiatives, and will serve as a manifestation of the companys ambitions.
Sources told the site that Tencents began to display a new level of aggressiveness as far back as 2018, when it put cloud at the center of its growth plans, and that energy has only stepped up a gear since the pandemic hit. The competition with Alibaba is so fierce right now, the sales teams are fighting them for every deal, an unnamed member of Tencents cloud division was quoted.
Already this year, Tencent has appointed more than 3,000 employees to its cloud arm and, as demand soared in China for bandwidth early on in the pandemic, it added a 100,000 cloud servers in eight days to support the box-fresh Tencent Conference.
In May, the firm said it was gearing up to invest 500 billion yuan approximately US$70 billion in cloud computing, AI and cybersecurity over the next five years. That was a I raise you on Alibabas pledge to invest 200 billion yuan (US$28 billion) in its own infrastructure just a few weeks before.
Tencents stacks, or a portion of them, will be directed at growing its operations outside its home market. At present, Alibaba Cloud has an unchallenged lead, claiming just under half (44.5%) of the entire cloud market share, while Tencent holds about a fifth, the same as Huawei Technologies. The social media and gaming titan wants to take the fight to Alibaba and other US rivals in markets outside of China, in markets where the battle between these two cloud blocs continues.
The cloud infrastructure markets of India and Indonesia will be crucial turf for Tencents growth ambitions, and here it will be able to compete for market share against its own local rival Alibaba Cloud, and US firms Google Cloud, Microsoft Azure and AWS.
Speaking to Reuters, Poshu Yeung, VP of Tencents international business group, noted a huge interest in shifting further into the cloud business and for the online education market.
Although Tencent came to the space later than Alibaba, I believe the company is willing to endure a relatively long period of investment cycle for this business, hoping to catch up or one day becoming the No. 1 player in this field, said Alex Liu, tech analyst at China Renaissance commented.
Part of Tencents play to gain ground includes getting better at bespoke B2B sales and products, which is Alibaba Clouds bread and butter, while Tencent has been focused more on consumer-centric products and design.
Tencent has great genes in business-to-consumer, but in business-to-business, we either didnt have product managers or we just hired folks with a business-to-consumer background so it took a bit of time to convert their thinking, a second Tencent cloud source told the publication.
Tencent has gained ground in government contracts, a small but reputable sector which it can use to its advantage in attracting private-sector clients. Reuters noted that its determination to win tenders saw Tencent offer the Fujian province government a completed information project plan for 0.01 yuan in 2017.
Mark Jones
Mark is Editor at TechHQ.com (a part of the Hybrid group), a publication with the objective of putting the newest and most relevant of enterprise tech on the radar of SMEs from all industries.
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How Tencent is bringing the storm clouds to arch-rival Alibaba - Tech Wire Asia
Unsecured servers leaked data of millions of users of dating sites and apps – TEISS
Research conducted by WizCase has revealed how servers associated with a number of dating sites and apps have been leaking the personal data of millions of users to third parties due to lax security protocols.
In July alone, the security firm found servers for 5 dating sites and apps around the world- namely CatholicSingles[.]com, Spyxx[.]com, Yestiki[.]com, Blurry dating app, as well as Charincharin.net and kyuun-kyuun.com that exposed the personal data of millions of users worldwide.
Personal details of users of dating sites and apps that were exposed included real names, billing addresses, email addresses, phone numbers, private messages, and other details. All of these details exposed users to blackmail attempts, identity theft, phishing scams, and stalking by cyber criminals and fraudsters.
The Amazon bucket associated with CatholicSingles[.]com leaked real names, email addresses, billing addresses, phone numbers, age, gender, occupation, and education details of thousands of U.S. citizens. The bucket exposed a total of 50,000 records that also included personal details like hair and eye colour, payment methods, and activity levels.
WizCase also found an ElasticSearch server associated with Spyxx[.]com that exposed 123,000 records that included email, cleartext passwords, phone numbers, dates of birth, gender, and education. Spyxx[.]com is the creator of Congdaq/Kongdak dating app which is used by South Korean netizens.
Blurry, another Korean dating app developed by hyperitycorp.com, was found leaking 70,000 data records that included private messages sent between users as well as personal information like Instagram handles and phone numbers
During their research, the researchers also stumbled upon a 352MB MongoDB server belonging to Yestiki[.]com that exposed 4,300 records including phone numbers, names, address and GPS location data of date venues, user ratings, activity logs, Foursquare secret key IDs, and more.
They also found a misconfigured ElasticServer that contained 102,000,000 records from two Japanese dating apps- Charin and Kyuun. The server leaked user IDs, mobile device information, email addresses and passwords, both hashed and cleartext.
The WizCase security team also found an additional 6 unsecured servers with information from different dating apps and sites but was not able to identify the owners of the servers. The servers stored information like names, city, gender, birthplace, age, education, income details, marital status, details of car and home and height. All this information was obtained from dating sites and apps like Zhenai, Say Love, Netease, Love Chat, and Companion.
Commenting on the discovery of a number of unsecured servers associated with dating sites and apps, Anurag Kahol, CTO of Bitglass, told TEISS that it does not take much effort for outsiders to find unsecured databases and access sensitive information. In fact, there are now tools designed to detect abusable misconfigurations within IT assets like ElasticSearch databases.
"Because of these tools (and the continued carelessness of companies when it comes to cybersecurity), abusing misconfigurations has grown in popularity as an attack vector across all industries. Such vulnerabilities can pose major threats to data security, data subject wellbeing, regulatory compliance, and brand reputation.
"Even companies with limited IT resources must take full responsibility for securing user data there is no excuse for negligent security practices such as leaving databases exposed. As such, they must turn to flexible, cost-effective solutions that can prevent data leakage.
"For example, cloud access security brokers (CASBs) that boast features like cloud security posture management (CSPM), data loss prevention (DLP), user and entity behaviour analytics (UEBA), and encryption of data at rest. It is only with these types of capabilities that an enterprise can be certain that its data is truly safe," he added.
ALSO READ:Misconfigured AWS bucket exposed 845 GB of data from popular dating apps
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Unsecured servers leaked data of millions of users of dating sites and apps - TEISS