In recent years, cloud computing has become more ubiquitous, even surpassing local computing in many cases. As such, cloud-based programs and services are now commonly used in consumer phones, computers, and smart devices. Aside from casual use, cloud computing also impacted the essential divisions of society, especially the healthcare industry. If you’re interested in learning more, please read on. In the following sections, we’ll discuss the benefits of cloud computing for the healthcare sector.

1) Faster services
In the healthcare industry, efficiency is as essential as the work to accomplish. As such, doctors, drug manufacturers, and illness prevention departments should always stay on schedule or go ahead in time if possible. Why? Since many lives and the public’s health are at stake, every second counts and can potentially change things.

While local computing works, it’s not as efficient as the newer cloud standard. With the latter, healthcare companies can process data and transfer information instantly. Also, workers can complete their tasks remotely, removing the need to wait for slow servers or travel to a specific office to access files or information. Going back, this is all possible thanks to the cloud’s powerful processing, faster servers, and ease of access.

2) Improved collaboration
Aside from efficiency, collaboration is also a vital part of every healthcare company. In hospitals, doctors, nurses, and other staff need to accurately transfer and receive information like patients’ data and other related things. However, local servers and programs are slow to process data, get easily congested with multiple user access, or don’t have effective remote and collaboration functions.

Thankfully, cloud computing supports both consumer and specialized programs. In detail, a healthcare company can choose to deploy its applications to a cloud provider or subscribe to a commercial service. Accordingly, healthcare workers can now send, upload, and access files in varying formats and sizes remotely, converse via chat, call, or video feed, and use more collaboration methods.

3) Cost-efficient operations
While it’s not commonly known, organizations can save money when choosing cloud computing over local processing. First, the former removes the need to hire people to maintain and solve issues of local servers as cloud providers ensure their platforms are always up and running. Next, the cost of repairs and maintenance most of the time outweighs the expense of paying for cloud subscriptions monthly.

Apart from that, it’s also now more practical to get a cloud platform package than build an entire server system in an organization. Besides, most will favor the faster cloud deployment than waiting for weeks or months to complete and potentially troubleshoot a local system. Lastly, as cloud computing is excellent at scaling, a healthcare company will only need to buy the space or computing power it requires. Also, when downgrading, there’s no need to throw away potential hardware as cloud providers offer easy downgrade plans with cost reductions.

4) Enhanced patient care efficiency
Cloud computing can enhance patient care in many ways. When accepting new patients, doctors and staff can quickly check the online database to check a person’s potential existing medical records. As a result, they can spend more time on actual consultations and not on the paperwork.

Next, a hospital can efficiently distribute patient information like condition, status, schedules, and medication to nurses and doctors. Besides that, with version control, workers can also avoid information inaccuracy when data mixes with other groups or new entries overlap existing ones. Regardless, these benefits enable medical workers to attend to patients easily and on time.

5) Better data management
If a healthcare organization uses local computing, chances are, it only has limited methods of storing and accessing data. As such, since offline databases are more constrained, they can restrict users to access faster or do things they can typically perform on commercial programs.

With cloud computing, that same organization can improve its data management methods. How? As cloud providers employ powerful technologies, it’s now possible to store more complex data and file types without worrying about slow down or errors. Additionally, organizing massive data collections won’t be as hard compared to doing it on a local server. Above all, healthcare workers can instantly upload/access information and files remotely without messing up the system or waiting for queues and slow loading times.

6) Improved privacy
Unlike offline processing, cloud computing provides more privacy and security for the healthcare sector. Given how cloud platforms use high-level encryption, multiple stacks of protection, and superior threat detection methods, it’s harder for criminals to infiltrate a healthcare company’s system.

However, relying on cloud computing for privacy isn’t enough. As the world is living in the modern digital age, it’s essential to become aware and preventive against data loss.

Thus, it’s not ideal to answer strange calls, emails, or messages outside the official apps and software of the organization, where a sender pretends to represent the hospital. Also, individuals could use Spokeo, an email search and reverse number lookup tool, to avoid hackers, scammers, and criminals. Using Spokeo’s email lookup tool and phone lookup features, you could verify a caller or sender’s hospital connection or learn about social profiles and criminal records.

Cloud Computing For Healthcare – What’s Beyond?
While cloud computing is not yet fully adopted, its potential will surely affect and change things in the near future. Moreover, although the healthcare sector only uses the cloud for collaboration and data management today, it will help medical workers in more ways soon. Aside from automation, cloud computing can also help medication, surgical operations, drug creation, and many more.

Given how fast the technology is progressing, only time will tell how close cloud companies will introduce supercomputers or even quantum ones. If that happens, the healthcare sector will surely benefit from better disease detection and identification, understanding of genetic mutation, and maybe even discover cures for many illnesses. Regardless, the future still depends on how hospitals and organizations react, keep an open mind, and adopt new technologies.

According to data made available by Canalys on June 23, the expenditure on cloud infrastructure services in the Chinese market grew by 55% in the first quarter of 2021, reaching $6 billion. As the Chinese government has made cloud computing its top strategic priority, it has promoted the development of cloud infrastructure services, with the Chinese market growing faster than the rest of the world.

China is the second largest market after the United States, accounting for 14% of global investment, higher than 12% in the first quarter of 2020. The country’s four major cloud service providers are Alibaba Cloud, Huawei Cloud, Tencent Cloud and Baidu AI Cloud, which together account for more than 80% of the total expenditure.

Canalys pointed out that Alibaba Cloud led the market with a 40% share, but its growth slowed to 38% in the first quarter. This is due to the termination of the contract by a major customer to comply with data ownership requirements outside China. Alibaba Cloud is also under strict scrutiny from China’s State Administration for Market Regulation, which led to a fine in April for violating anti-monopoly laws.

Huawei Cloud achieved the biggest increase in the quarter, surging 116% and accounting for 20% of the market share. Its rapid growth benefits from Internet customers and government projects, as well as major victories in the automotive industry. Huawei is currently building its largest data center facility in the Guian New Area, Guizhou province, to provide services for Southwest China.

Tencent ranks third with a 14% share. Baidu AI Cloud is the fourth largest cloud service provider, accounting for 7% of the total expenditure in the first quarter of 2021.

Cloud computing has been growing rapidly for many years, as more and more companies seek to work remotely, improve efficiency through automation and save money on IT infrastructure. According to a 2021 Gartner report, it is estimated that the global end-user expenditure on public cloud services will increase by 23.1% to $332.3 billion in 2021 from $270 billion in 2020.

According to Gartner, Google occupied 5% of the cloud infrastructure market in 2019, while Amazon had 45% and Microsoft had about 18%.

“Companies can use these services without purchasing or installing physical infrastructure. They can get exactly what they need when they need it, and expand or reduce services as demand changes,” said Dr. Scott Overmyer, Associate Dean of Information Technology at Southern New Hampshire University.

Cox Communications has launched Cox Edge, a full stack edge-cloud computing service to deliver ultra-low latency compute solutions, helping customers to improve application performance and to reduce cloud transport and on-premise infrastructure costs.

The shape of the internet is evolving. Increasingly immersive digital experiences require faster application performance and response times to delight consumers. Technologies like Internet of Things (IoT) and artificial intelligence drive the need for real-time processing and decision making. These and other innovations can benefit from bringing compute power closer to the action – to where users are engaging and to where sensor data is being created.

Cox Edge, with last mile edge locations and a global network, brings compute resources closer to users and businesses. This can help reduce cloud transport costs, improve application resiliency and continuity, reduce latency to deliver near real-time application performance, and provider better overall security.

Cox Edge is a full stack edge-cloud infrastructure service deployed from last-mile edge data centers, with offerings that will include Virtual Compute, Storage, Bare Metal, Edge CDN, Distributed Database services, Serverless computing, Distributed Containers, and Enterprise Kubernetes. The services are offered through an integrated user experience, so that developers can easily augment their cloud or on-premise deployments with edge capabilities.

Italy plans to set up a national agency tasked with combating cyber attacks as it continues work on its unified cloud infrastructure.

The country is one of many European nations attempting to enhance their cybersecurity capabilities.

Many aspects of Italy’s digital security, which are dispersed among various Ministers and state bodies, are to be brought together under the authority of the Prime Minister.

The general director and his deputy will be appointed for four years, according to a draft decree reportedly seen by Reuters. Their mandate can only be renewed once.

The new agency will involve six departments and will, in the first instance, be staffed by 300 employees, with the intention of boosting this number to 800 by 2027.

In April 2021, the Italian Government delivered a 2,500-page recovery plan tothe European Commission, which detailed an intention to utilise new cloud technology for public administration to increase security.

The plan would need investment from the EU with about €900 million apparently earmarked for it.

The project would also involve overseas tech companies, Innovation Minister Vittorio Colao announced in May.

With American-owned Amazon, Google and Microsoft being the world’s major cloud players, concerns over potential surveillance had been raised due to the adoption of the U.S. CLOUD Act of 2018.

Italy intends to create the cloud infrastructure through a public-private partnership, which will be implemented by a European tender.

It’s important to remember, however, that there is much more to cloud computing than simply storage, including software-as-a-service (SaaS), platform-as-a-service, and more. This provides investors with a multitude of ways to profit from the accelerating move to the cloud.

With a large and growing list of cloud-native products and services, investors are looking for the best ways to capitalize on this opportunity and ride the increasing wave of cloud adoption. These three companies offer investors clear and ongoing opportunities to profit from the trend.

1. HubSpot: Rapidly expanding its suite of services
While it began life as an inbound marketing specialist, HubSpot (NYSE:HUBS) has quickly evolved and expanded its aspirations to become a one-stop-shop for customer relationship management (CRM).

The company has copied liberally from the successful template employed by salesforce.com, increasing its functionality with a series of successful, snap-on acquisitions. In fact, HubSpot has made five multi-billion-dollar acquisitions — as well as a multitude of smaller ones — over the past five years alone.

As a result of this platform expansion, HubSpot now provides marketing, sales, and service support, as well as content management and operations products. Each new offering has resulted in a growing market opportunity, with some estimates placing HubSpot’s total addressable market at about $20 billion. The company currently has roughly 114,000 customers, which pales in comparison to its total addressable market of more than 3 million small- and medium-sized businesses with a website.

The proof is in the pudding. During the first quarter, HubSpot delivered revenue that grew 41% year over year. Subscription revenue also climbed 41%, while professional services revenue jumped 43%. Additionally, the company’s total customer count grew by 45% and spending per customer was on par with the prior-year quarter.

These results aren’t a one-time thing, either. Since late 2014, HubSpot’s revenue has grown at a compound annual growth rate of 41%, while its international revenue has grown at 58%. At the same time, its margins have continued to expand and its free cash flow has rocketed higher.

2. NVIDIA: Providing the processing power that unpins cloud computing
While investors might not immediately think of NVIDIA (NASDAQ:NVDA) when considering cloud computing investments, its cutting-edge processors have become the industry standard for powering cloud computing and data center operations.

The same graphics processing units (GPUs) that render lifelike images in video games also underpin the unique challenges presented by cloud computing. The secret is the parallel processing, or the ability to conduct a multitude of complicated mathematical calculations simultaneously, thereby reducing the amount of time necessary to complete complex tasks and speeding up the most complex algorithms.

Each of the world’s largest cloud providers depends on NVIDIA state-of-the-art processors to power their systems. Its customer list reads like a Who’s-Who of cloud providers. They include Amazon’s AWS, Alphabet’s Google Cloud, International Business Machines’ IBM Cloud, Microsoft’s Azure, and Alibaba Cloud, just to name a few.

Yet NVIDIA has just begun to tap this massive opportunity, as evidenced by its most recent results. In the first quarter, data center revenue — which includes cloud computing, data center, and artificial intelligence applications — grew 79% year over year, accounting for 36% of NVIDIA’s total sales. At the same time, its gaming segment, which represents the lion’s share of its revenue, grew 106%. Total revenue grew 84%, a remarkable feat for a company with a market cap of $436 billion — and this could be just the beginning.

NVIDIA generated revenue of $16.68 billion in 2020, which pales in comparison to the company’s total addressable market, which management estimates will reach $250 billion over the next few years.

3. DocuSign: Digital signatures are just the beginning
Many investors are familiar with DocuSign (NASDAQ:DOCU), which provides cloud-based tools to sign documents. The company is the undisputed leader in the electronic signature space, with a whopping 70% share of a market that continues to grow. What investors may not know is that e-signatures are just the beginning of a large and growing opportunity for DocuSign, a fact that CEO Dan Springer is quick to point out.

“Typically, e-signature is the first step that many customers take on their broader digital transformation journey with us,” said CEO Dan Springer on a recent earnings call. “So from a financial point of view, we believe this surge in e-signature adoption bodes well for future Agreement Cloud expansion.”

The Agreement Cloud is the next step in DocuSign’s evolution, providing a dozen software applications and more than 350 integrations designed to manage the entire lifecycle of contracts and agreements. For example, once a contract is signed, the system can trigger the creation of a bill. An agreement up for renewal? A reminder is generated. There are hundreds of similar use cases including employee on-boarding, non-disclosure agreements, change orders, new customer forms, vendor/supplier agreements, and much more.

The strategy is not only working, but the business is on fire. For DocuSign’s fiscal 2022 first quarter (ended April 30, 2021), revenue grew 58% year over year, accelerating from 39% growth in the prior-year quarter. Perhaps more importantly, subscription revenue grew at an even faster pace, up 61%. At the same time, billings — a sales growth metric that factors in changes in deferred subscription revenue — climbed 54%. Adjusted earnings per share (EPS) more than tripled.

DocuSign generated total revenue of $1.5 billion last year, but its remaining opportunity is vast. With the addition of the Agreement Cloud, DocuSign management estimates that its total addressable market has doubled to more than $50 billion, leaving a long runway for growth.

You get what you pay for
Each of these stocks has vastly outperformed the market over the past year, with no signs of slowing. Bears will be quick to point out that these stocks are by no means cheap when measured using traditional valuation metrics. HubSpot, NVIDIA, and DocuSign are currently selling for 23, 19, and 18 times sales, respectively — when a good price-to-sales ratio for a stock is generally between one and two.

That said, each of these cloud-native companies has a strong position within its industry and is riding the secular tailwind of cloud adoption to new heights. As a result, investors have thus far been willing to pay up for the impressive topline growth and the promise of explosive profits that each represents.

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Governor Brian Kemp formed a joint initiative on Wednesday between Georgia’s Technical College System, Georgia’s Ministry of Education, Georgia Technology Association, and Amazon Web Services to train 5,500 learners across the state in cloud computing. Announced that it will provide education.

Through this initiative, Georgia high schools and colleges of technology offer cloud computing courses and qualifications tailored to the skills needed to pursue a demanding technical career.

“Georgia’s technology industry is growing rapidly and offers exciting job opportunities for Georgians,” said Kemp. “This collaboration with AWS will give citizens access to innovative training and education to prepare for technical jobs in Georgia.”

The state is working with the AWS Academy program to provide educational institutions with a free, out-of-the-box cloud computing curriculum that prepares students for industry-recognized AWS certifications and high-demand cloud jobs.

Students can also access self-paced online training courses and labs from AWS.

“The use of cloud-based technology is growing rapidly in Georgia, which means there is a growing demand for a skilled workforce in this area,” said TCSG Commissioner Greg Dozier. .. “We are pleased to begin this partnership to provide students and existing information technology workers with the latest training available to ensure success in this growing area.”

The old saying, “Water water everywhere, not a drop to drink,” is so apt. When you are in the middle of an ocean surrounded by water all around but because of the salinity of the water, you are unable to drink it. The same can be extended to the amount of data available today. I draw a corollary from this saying and modify it in the context of the data — “Data data everywhere, not a place to store.”

With the percolation of internet in the lives of all and the rapid digitisation across the world, it has practically become impossible to have a tape storage, magnetic storage or any mode of storage to be sufficient enough to cater to the needs of data storage and further its processing. Gone are the days when you were required to have the data with you for you to use it. Today is the era of cloud storage and data availability is “on-the-go.”

What is cloud computing?

Cloud computing is the usage of different services on the internet for performing operations such as storing, managing and processing data on a common storage that can be accessed from anywhere rather than one particular system. Instead of being stored directly on your own personal device, cloud-based data is stored on servers owned by companies such as Amazon, Microsoft and Google and is made accessible to you via the internet. Whether you are accessing your Gmail or streaming your movies through Netflix or listening to your favourite songs on Spotify, you are a customer of a cloud services provider.

This data owned by the user is stored physically on a server of the service provider and is maintained by the third party and can be accessed by a person having the security credentials. This is a disadvantage. However, by proper security and passwords, the data can be given some security.

It is not essential that only the known names own these cloud infrastructures. Cloud computing may be public, private and hybrid depending on the user’s needs. A private cloud refers to a cloud entirely owned by an organisation and all the computing resources are exclusively used by the employees and customers of the organisation, usually over the internet or over their own private networks. In contrast, Public clouds are owned and operated by a third-party cloud service providers and Hybrid clouds combine public and private clouds by technology that allows data and applications to be shared between them.

The type of Cloud services may be SaaS (Software as a Service), PaaS (Platform as a Service) and IaaS (Infrastructure as a Service). PaaS is designed to make it easier for developers to quickly create web or mobile apps, without worrying about setting up or managing the underlying infrastructure of servers, storage, network and databases needed for development. Software as a service is a method for delivering software applications over the Internet, on demand and typically on a subscription basis.

With SaaS, cloud providers host and manage the software application and underlying infrastructure and handle any maintenance, such as software upgrades and security patching. Users connect to the application over the Internet, usually with a web browser on their phone, tablet or PC. The most basic cloud computing service is IaaS wherein you rent IT infrastructure such as servers and virtual machines (VMs), storage, networks, and operating systems from a cloud provider on a pay-as-you-go basis. The most popular IaaS is Microsoft Azure and Amazon Web Services (AWS).

Is cloud computing truly a future technology?

Cloud computing provides a cost-efficient way of storing data by eliminating the capital expenses of buying hardware and software and setting up, running and maintaining on-site data centres. It also enables delivering the right amount of computing power, storage and bandwidth that too as per the requirements of the user. The access to data is on-the-go and you as a user are literally carrying your data wherever you go thus making the data availability more robust and lesser prone to device crashes.

One of the key characteristics of cloud computing is that the reliability factor is extremely high as the data is generally mirrored at multiple redundant sites on the cloud provider’s network instead of concentrating at a single location.

With businesses going online and more organisations moving to cloud platforms, it’s important to guarantee that cloud service providers can make a secure framework to ensure the wellbeing of their customer’s information. When storing data in cloud, it is stored in not just one data server but on multiple servers of the network. This reduces the chances of data getting lost. If it’s not available on one data server there is always a chance that it will be present in another server. When data is stored together, the cost for its security and maintenance is low, otherwise its very expensive to guard and protect the data from hazards. It eliminates the down time as it takes care of patching.

Is cloud computing just part of an engineering course?

Cloud computing is a specialised field of study today which finds its mention in courses ranging from computer science and engineering to civil engineering and physics to chemistry. It provides a platform for advanced technical knowledge in various fields of study and universities today are offering specialisations at undergraduate, post graduate and doctoral level in cloud computing.

The need for people qualified in various aspects of cloud computing be it full-stack cloud developers, cloud solution architect, cloud security engineers, cloud consultants, cloud service developers, development operations engineer, cloud system administrator, cloud data engineer, information technology architect, cloud network engineer is in great demand.

According to Forbes, there are more than 18 million jobs in cloud computing available worldwide. Realising the power, ease and potential of cloud computing, the top Indian companies too are transitioning from traditional data-based approach to cloud-based applications thus causing a surge in the demand of cloud computing professionals.

THE PANDEMIC HAS compelled enterprises to rapidly move their critical workload to the cloud to ensure seamless functioning of business. As cloud is gaining momentum, and enterprises are frantically looking for ways to optimise their network, storage and agility, edge computing has turned out to be the perfect solution.

To understand where edge computing fits in the whole spectrum of IT infrastructure, we need to begin with the basics— Understanding what actually is edge computing. “Edge computing” is a type of distributed architecture in which data processing occurs close to the source of data, that is, at the “edge” of the system. This approach reduces the need to bounce data back and forth between the cloud and device while maintaining consistent performance. This reduces latency in data transmission and computation, thereby enhancing agility.

With regards to infrastructure, edge computing is a network of local micro data centers for storage and processing purposes. At the same time, the central data centre oversees the proceedings and gets valuable insights into the local data processing. However, we need to be mindful that edge computing is a kind of expansion of cloud computing architecture— an optimised solution for decentralised infrastructure.

The ultimate purpose of edge computing is to bring compute, storage, and network services closer to endpoints and end users to improve overall application performance. Based on this knowledge, IT architects must identify and document instances where edge computing can address existing network performance problems.

How does edge computing work?
In traditional enterprise computing, data is produced at a user’s computer. That data is moved across a WAN such as the internet, through the corporate LAN, where the data is stored and worked upon by an enterprise application. Results of that work are then conveyed back to the end-user. However, if we consider the number of devices that are connected to a company’s server, also the volume of data it generates, it is far too much for a traditional IT infrastructure to accommodate.
So, IT architects have shifted focus from the central data centre to the logical edge of the infrastructure—taking storage and computing resources from the data centre and moving those resources to the point where the data is generated.

There are several reasons for the growing adoption of edge computing:

Due to emerging technologies such as IoT and IoB, data is being generated in real-time. Devices enabled by these technologies require a high response time and considerable bandwidth for proper operation.
Cloud computing is centralised. Transmitting and processing massive quantities of raw data puts a significant load on the network’s bandwidth.
Incessant movement of large quantities of data back and forth is beyond reasonable cost-effectiveness and leads to latency.
Processing data at the source and then sending valuable data to the centre is a more efficient solution.
As organisations move back to remote working models, we will witness wider adoption of edge computing as it empowers remote work infrastructure with greater computation and storage capabilities.

SAN FRANCISCO–(BUSINESS WIRE)–Vendia, a multi-party application development platform for sharing code and data in real time, has been recognized as a 2021 Gartner Cool Vendor in the “Cool Vendors in Cloud Computing” report by Arun Chandrasekaran, Sid Nag, and David Wright on May 13, 2021.

Business critical data is dispersed across both internal and external silos, making it challenging to control and share in real time. Vendia’s decentralized data platform enables the sharing and synchronizing of data or code across clouds, partners, and tech stacks with immutability and control. It is being used in production today to power multi-party distributed applications for track and trace of goods and services across complex supply chains, financial settlements and transactions, and real-time data analytics for AI/ML and IoT use cases. Vendia’s serverless implementation makes building distributed applications scalable, cost efficient, and developer friendly.

“Coming at a time when we are barely a year past our founding, this recognition by Gartner is an especially great honor,” said Tim Wagner, co-founder and CEO of Vendia. “Our mission is to simplify the challenges of building applications that span data silos and clouds by creating a single source of truth, while ensuring that each partner retains full control over its data. We’re delighted that Gartner recognizes the need for our offering in the market.”

This Gartner Cool Vendor in Cloud Computing report states “CIOs should assess these Cool Vendors that are disrupting the cloud market through robust multicloud implementation products.” The complete report can be accessed on Gartner, or read more about it on the Vendia blog.

Disclaimer

Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Vendia

Vendia provides multi-cloud services that make it easy for organizations to share real time data and code across clouds, companies, and regions for data integration, financial settlement, ML training, transaction processing, supply chain solutions and more. Vendia was founded by Dr. Tim Wagner, formerly General Manager and creator of AWS Lambda at AWS, and Shruthi Rao, formerly Head of Business Development for Amazon Managed Blockchain at AWS. The company is based in San Francisco and has raised $20.6M in funding led by BMW i Ventures, Canvas Ventures, Neotribe Ventures, Sorenson Ventures, and other leading investors.

Complex hypervisor software helps run cloud computers, but verifying its security is often thought to be nigh impossible. Now computer scientists at Columbia University have developed what they say is the first hypervisor that can guarantee secure cloud computing.

Hypervisors organize cloud servers into virtual machines to supply data and computing power over the Internet. Hacks that successfully exploit hypervisor vulnerabilities could gain unfettered access to the data of millions of customers of cloud computing providers such as Amazon.

“All it takes is a single weak link in the code — one that is virtually impossible to detect via traditional testing — to leave a system vulnerable to hackers,” says Ronghui Gu, a computer scientist at Columbia University’s School of Engineering and Applied Science and co-author on the researchers’ published study about the work.

In theory, scientists can formally verify software to mathematically prove that its code “protects data security under 100% of circumstances,” Gu says. However, most verified hypervisors are often far simpler than their commercial counterparts, since they are specifically designed for verification instead of practical applications. In contrast, modern commercial hypervisors are huge pieces of software, often including an entire operating system kernel, which can make verifying them a seemingly insurmountable task.

For example, it took three person-years to verify 6,500 lines of code with the CertiKOS hypervisor and 10 person-years to verify 9,000 lines of code with the seL4 hypervisor, both of which were designed for verification. In comparison, the widely used KVM open-source hypervisor, a full-featured multi-processor system integrated with Linux, has more than 2 million lines of code.

Now the Columbia computer scientists have developed a way to verify commercial-grade hypervisors. They used their new technique to develop a secure version of KVM named SeKVM, which they suggest is the first machine-checked formally verified commercial-grade hypervisor.

The researchers dubbed their new technique microverification, which reduces the amount of work needed to verify a hypervisor. It breaks down a hypervisor into a small core and a set of untrusted services, and then goes on to prove the hypervisor secure by verifying the core alone. The core has no vulnerabilities for a hack to exploit, and this core mediates all the hypervisor’s interactions with virtual machines, so even if a hack undermines one virtual machine, it does not compromise the others.

Based on microverification, the scientists developed software named MicroV to verify large commercial-grade multi-processor hypervisors. With the help of MicroV, they developed a secure core for SeKVM only 3,800 lines of code long, which they verified over the course of two person-years.

When it comes to real application workloads, SeKVM performed similarly to unmodified KVM, at most incurring less than 10% performance overhead on native hardware KVM was specifically designed to run on. At the same time, SeKVM supported KVM’s wide range of features.

“SeKVM is just KVM with some minor changes,” says study co-author Jason Nieh, a computer scientist at Columbia University’s School of Engineering and Applied Science. “It performs like regular KVM, inherits the functionality of regular KVM, but on top of that, provides security guarantees that regular KVM does not have.”

In the future, “we will keep exploring this concept of cyber-resilient systems software and build safeguards in various domains, from banking systems and Internet of Things devices to autonomous vehicles and cryptocurrencies,” Gu says. “SeKVM will lay a foundation for future innovations in systems verification and lead to a new generation of cyber-resilient systems software. In a world where cybersecurity is a growing concern, this resiliency is in high demand.”

Funded by the Ministry of Transport, Communication and Information Technology, DataMount Company, and International Emerging Technology Company (ETCO) have signed a cooperation agreement with the Chinese Alibaba Group on cloud computing services.
The signing of the agreement, which was held at COMEX 2021, stipulates that the Data Mount and ETCO will manage, operate and market Alibaba center and services for cloud computing in the region, which will enhance the Sultanate’s position as a regional gateway for cloud computing services and technologies.

The agreement will also stipulate that the three parties provide data processing and cloud hosting services and train national cadres to use Alibaba’s cloud programs.

The aim is to enhance the cloud computing market in the Sultanate and in the region in general.

Under the agreement; Alibaba will invest about $10 million during the first stages of providing central devices and modern technologies, while DataMount will invest nearly $4 million in preparing the infrastructure for the information center; The project is expected to provide the technology sector in the Sultanate with a number of job opportunities (direct and indirect);

Datamount has started training and employing a number of graduates, and it is expected that the number of employees during the first phase will reach 12 employees to work on managing and marketing the project.

Alibaba’s cloud is the leading international provider and the third-largest infrastructure provider in the Asia Pacific region, according to Gartner; Through this partnership, the company aims to provide secure and reliable cloud services and technologies to enterprises in the Sultanate of Oman as a whole and the region in general.

Cloud Computing Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis. It also provides market information in terms of development and its capacities.

Some of the Top companies Influencing in this Market includes:

PT Cyberindo Mega Persada (CBNCloud), Microsoft, Amazon Web Services, Telkom Indonesia, AGIT, VMWare, Infinys System Indonesia, Oracle, Joyent Cloud

Various factors are responsible for the market’s growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Cloud Computing market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Cloud Computing market’s trajectory between forecast periods.

Global Cloud Computing Market research report offers:

Market definition of the global Cloud Computing market along with the analysis of different influencing factors like drivers, restraints, and opportunities.
Extensive research on the competitive landscape of global Cloud Computing
Identification and analysis of micro and macro factors that are and will effect on the growth of the market.
A comprehensive list of key market players operating in the global Cloud Computing market.
Analysis of the different market segments such as type, size, applications, and end-users.
It offers a descriptive analysis of demand-supply chaining in the global Cloud Computing market.
Statistical analysis of some significant economics facts
Figures, charts, graphs, pictures to describe the market clearly.

Regions Covered in the Global Cloud Computing Market Report 2021:
• The Middle East and Africa (GCC Countries and Egypt)
• North America (the United States, Mexico, and Canada)
• South America (Brazil etc.)
• Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The cost analysis of the Global Cloud Computing Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

What will be the market size and the growth rate by the end of the forecast period?
What are the key Cloud Computing Market trends impacting the growth of the market?
What are the potential growth opportunities and threats faced by the leading competitors in the market?
What are the key outcomes of Porter’s five forces analysis and the SWOT analysis of the key players functioning in the global Cloud Computing Market?
This report gives all the information regarding industry Overview, analysis and revenue of this market.
What are the market opportunities and threats faced by the vendors in the global Cloud Computing market?
Table of Content (TOC)

Global Cloud Computing Market Report 2021 – Growth, Trend and Forecast to 2027
Chapter 1 Cloud Computing Market Overview
Chapter 2 Global Economic Impact on Cloud Computing Industry
Chapter 3 Global Cloud Computing Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region (2014-2021)
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions (2014-2021)
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Cloud Computing Market Forecast (2021-2027)
Chapter 13 Appendix

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Given the Covid-19 pandemic situation around the world, the adoption of cloud technology by different enterprises is visibly accelerating. The adoption rate is expected to continue growing for the foreseeable future. However, it has become evident that a horizontal cloud does not always meet the specific needs of certain industries, especially highly regulated ones such as banking or healthcare. This is where “Industry Cloud” comes in.

“Industry Cloud” explained
Techopedia defines Industry Cloud as a cloud system that has been heavily customized to suit the needs of a specific industry in order to accommodate the business, operatory, legal, regulatory, as well as security and other considerations. The main focus of Industry Cloud is vertical integration rather than horizontal one, which is the focus of general cloud computing.

There are industries that have been very resistant to the change that cloud computing has brought about because it does not provide the very specific needs that a vertical market organization such as a financial or medical institution needs. Such organizations need cloud infrastructure that is specifically tailored to their industries, and thus the term ‘Industry Cloud’ was coined.

An Industry Cloud focuses on specialised processes with tools and business services dedicated to a specific industry. Designed with industry challenges in mind, these clouds can enable organizations jump ahead and deliver value at record pace.

Advantages of Industry Cloud
The key advantage of Industry Cloud is that it addresses the problems of systemic risks that most organisations face with security, regulatory, and compliance. In addition, there are other advantages such as:

Standardized configurations
Improved operational efficiency
Deeper customer engagement
Focused spends
Customized holistic solutions
How does Industry Cloud compare to general cloud computing?
It is worth stating that an industrial cloud is not a new type of technology or a paradigm-shifting concept or solution. It is simply a specific method or way of using cloud computing to handle industrial processes and challenges.

The major difference can be found in how they are integrated into business operations. The Industry Cloud is designed to create more value when managing systems within the boundaries of the industry it is applied to. The general cloud employs a more horizontal approach and is built to function outside the boundaries of a specific industry. Another difference is that the Industry Cloud is equipped with specific industrial features to manage data and schedule tasks which means they can determine what data is to be sent to the cloud and what data is not. On the other hand, general cloud solutions will struggle to handle these specific data requirements.

Overall, the industry-specific cloud has an advantage over the general cloud as it understands data, standards and regulatory policies associated with a specific industry. This helps the organizations in scalability as it occurs within the constraints set by the policies of an industrial niche. Thus, the emergence of the industry-specific cloud is a natural progression of cloud computing to meet the varying and highly personalised industry requirements.

Wrapping up
The war between traditional on-premises data center infrastructure providers and public cloud providers is far from over. In fact, the cloud game has gone a step ahead wherein industries today require more than general-purpose cloud capabilities. They require industry-specific cloud capabilities. As cloud solutions continue to mature, major public cloud providers are investing in solutions to meet specialized industry needs. It’s still early days for industry clouds. Established companies in industries feeling the sting of competition from cloud-native disrupters are especially good prospects for these types of solutions.

The term Cloud Computing stands for data centres available to several users over the Internet. A few years ago, IT organizations were sceptical regarding utilizing cloud computing technology as part of their IT strategy. However, there is no doubt in their minds today as they are devising strategies to leverage it as per their business requirements.

Adopting cloud computing technology can significantly influence business growth by reducing expenditure on resources and making processes more efficient. For a better understanding of this concept, here are the significant advantages of cloud computing technology:

Cloud hosting saves money
Adopting new technology is often expensive but this is where cloud computing technology shines. Since everything is hosted on the service provider’s server, one doesn’t need to invest in any kind of hardware or data centre. It can save the money that would otherwise have been spent on maintenance.

Built-in scalability
In one’s own data centre, to increase computing capacity, one needs to buy, install and configure a new server. While that may seem well and good, two scenarios require consideration. Firstly, if the increased capacity is required only for a limited time, the amount of money invested in those resources will pretty much go to waste. Secondly, if the demand comes unexpectedly, will it be possible to get the server up and running in time?

With cloud computing, such scenarios don’t arise because scalability comes built-in. If a sudden surge in traffic is experienced and demands extra resources, one can instantly increase the computing capacity. Scaling down after the traffic subsides can also be achieved with ease. Cloud provides increased agility and cost-effective resourcing which is essential for business growth.

Advantage over competitors
Since almost no time is wasted for the applications to go online, it gives a massive strategic advantage over one’s competitors who haven’t adopted cloud computing technology yet.

No downtime
Since businesses are dependent on applications for running crucial operations, downtime can cause serious losses. If the server fails, the entire business might come to a screeching halt, and getting back online can often be a tedious process.

However, with cloud computing, there are almost zero risks of facing downtime. Since the clients are hosted on virtual machines, they can be transferred from one place to another within the clustered server quickly. The cloud’s hyper-converged design protects businesses from all sorts of malfunctions including hard disk and server failure.

Faster performance
Cloud computing offers high-performance servers with state-of-the-art technologies including powerful CPUs and super-fast SSD drives. Also, clients’ requests are routed in a way that maximizes speed and capacity utilization. If one server experiences a heavy load, it can be easily transferred to other servers in the cluster. It ensures that no server suffers from performance issues.

New apps can run quicker than before
Getting new applications to run smoothly was a herculean task before cloud computing. Cloud-based applications, however, have significantly reduced the time required for successful execution. Since a large number of cloud-based applications can be used instantly after signup, one can start leveraging the power of AI and ML applications as soon as they migrate to the cloud.

Better security
An organization’s data is safer on the cloud than on the servers. Cloud service providers have to comply with several strict security regulations to safeguard their clients’ data. They do so by utilizing robust firewall technologies loaded with intrusion prevention systems and in-flow virus protection. They are adept at identifying and isolating threats before they can reach your server.

Brings flexibility to the table
Cloud computing brings a great deal of flexibility to the table. Since it is internet-based, the employees can access files from anywhere, which enables remote working. Businesses that migrated to the cloud had a relatively easier time switching to the remote working model during the pandemic. Also, by enabling remote working, cloud computing offers the option to reduce infrastructural expenses.

Cloud computing technology provides several benefits to businesses. It’s affordable, flexible, capable of saving time and money, secure, and highly efficient. All in all, cloud computing contributes significantly to growth.

HONG KONG, June 2, 2021 /PRNewswire/ — With growing customer demand and increasing cloud computing spending all over the globe, Tencent Cloud, the cloud business of Tencent, today announced the launch of four new internet data centers (IDC) in Bangkok, Frankfurt, Hong Kong and Tokyo. The addition of the new IDCs places Tencent Cloud’s operation in 27 regions and 66 availability zones worldwide, ushering in the opening of the second availability zones (AZ2) in Bangkok, Frankfurt and Tokyo and the third (AZ3) in Hong Kong in order to addressing the ever-growing business needs around the world.

According to data from Frost & Sullivan[1], 52% of organizations globally are using cloud services as of 2020, with another 34% expected to add cloud infrastructure within the next two years. The latest information from Gartner[2] also indicates that worldwide end-user spending on public cloud services is forecasted to grow 23.1% in 2021 to total US$332.3 billion, up from US$270 billion in 2020, signifying more growth in the already burgeoning cloud industry in which Tencent Cloud intends to further flourish.

Poshu Yeung, Senior Vice President, Tencent Cloud International, said, “The cloud industry is quickly evolving and growing, making Tencent Cloud look forward to further demonstrating its commitment to provide customers with more diverse cloud products as well as stronger redundancy and backup options. The launch of the new IDCs in Bangkok, Frankfurt, Hong Kong and Tokyo at the same time is a significant development in our strategy to rapidly and efficiently expand our international portfolio. We are also planning to have over 30% growth in terms of our IDCs all over the world by end of this year.”

Keeping up with Tencent Cloud’s momentum of providing groundbreaking and state-of-the-art technologies, the new IDCs are all tier-3 design facilities and are located in prime network hub locations, providing highly-reliable and high-quality BGP integrated with major local and international network operators.

The launch of the new IDCs is the latest step forward in Tencent’s robust growth strategies in terms of global infrastructure. In late 2020, Tencent Cloud has opened its second availability zone in Korea, followed by the first IDC in Indonesia as well as the third availability zone in Singapore in April 2021. The company is set to launch its second Indonesian IDC and its first in Bahrain by the end of the year.

Tencent Cloud is a secure, reliable and high-performance public cloud service provider that integrates Tencent’s infrastructure-building capabilities with the advantages of its massive user platform and ecosystem, consistently enhancing its rich array of global services to both the public and private sectors.

Tencent Cloud

Tencent Cloud is Tencent’s cloud services brand, providing industry-leading cloud products and services to organizations and enterprises across the world. Leveraging its robust data center infrastructures around the world, Tencent integrates cloud computing, big data analytics, AI, Internet of Things, security and other advanced technologies with smart enterprise scenarios. At the same time, we provide a holistic smart enterprise solution for sectors including finance, education, healthcare, retail, industry, transport, energy and radio & television.

As cloud adoption continues to transform the modern enterprise, organisations consume the cloud differently as they extend the scope and scale of their digital business strategies. They have the option to pick and choose from various hybrid cloud infrastructures and services. But using disparate services and solutions—such as multi-cloud, hybrid environments, software as a service (SaaS) and platform as a service (PaaS), plus various applications and endpoints—introduces implementation, management and security challenges to the cloud computing landscape. And because of the proliferation of multi-cloud, many enterprises maintain heterogeneous cloud environments, with tools and systems from various platforms differing significantly. All of this makes building and managing a consistent security strategy increasingly difficult.

Organisations need to have a security strategy that includes visibility and control across all kinds of cloud infrastructures. This enables them to keep applications and devices secure and connected, from the remote user to the data centre to the cloud. And because each organisation is unique, there are a variety of cloud security options available to meet all of their demands. But beware. Without careful planning, these options can quickly lead to vendor and solution sprawl that introduces another layer of complexity to an already complicated problem.

Application-layer security
The proliferation of BYOD and IoT, especially as workers have become more dispersed and remote, creates a unique level of security complexity at the application level. Business-critical applications, built on a variety of cloud infrastructures, need to adhere to the security policies of an organisation, keeping users, the network, data and workloads all secure. An advanced application-layer security protocol can detect security vulnerabilities before they become a problem. But it not only needs to span the distributed—and evolving—network; it also needs to provide a single source of truth to simplify management and policy enforcement.

Network security
Of course, applications are only part of the equation. Equally important is keeping the network itself secure. Organisations with hybrid cloud infrastructures and multi-cloud environments require secure network connectivity across all locations and endpoints, and even between applications residing within the same cloud or data centre. These cannot operate in isolation.

Security solutions protecting these critical points of interaction need to be able to see each other, share policies and threat intelligence, and participate in a coordinated response to any sort of threat. This, again, can be especially challenging for enterprises faced with skills and resource gaps, particularly when operating remotely from home while attempting to manage multiple cloud instances and networks simultaneously.

Securing the public cloud
Public cloud offers an open system where stored data and critical business applications can be made available to workers, whether local or remote, as well as to the public via the internet. Public, private and hybrid clouds all require consistent security postures to protect users, devices, applications and networks, while high-speed VPN connections protect data. However, public clouds—especially multi-cloud environments—pose a special challenge because each runs its own unique system of rules and protocols. Security policies need to be consistent and enforced across all environments and should be managed with single-pane-of-glass controls.

This means that security solutions deployed on multiple public cloud platforms not only need to function as native solutions but also interoperate in spite of their functional differences. This requires tools designed to operate seamlessly in and across all major public cloud environments, enabling a single, holistic security fabric that can span the most highly distributed and dynamic environments.

Security solutions, and security teams, also need to understand the shared-responsibility model. While needing to trust public cloud providers to protect the network, storage and computing layers, they need to understand—and deploy—security solutions designed to secure anything that they produce, deploy or store in the public cloud. Best-in-breed cloud security solutions incorporate native cloud integrations with all major public cloud providers to ensure privacy and confidentiality.

Hybrid cloud security
Hybrid cloud environments provide for greater flexibility, with a combination of private cloud services, a public cloud and on-premises infrastructure—all orchestrated to work together as seamlessly as possible. However, a hybrid cloud that uses on-premises data centres and public cloud platforms requires rigorous security management.

An effective security solution purpose-built for a hybrid cloud infrastructure should include:

Auto-scale capabilities for network security and capacity
Centralised management for automatic provisioning
Site-to-site VPN connectivity to migrate workloads
Segmentation of persistent connections to deliver end-to-end security
Full transparency and control for compliance governance
Platform security
Finally, and maybe most importantly, is the implementation of a consistent security platform. Platform security provides the architecture, tools and processes needed to secure an entire cloud computing ecosystem. It provides consistent security and connectivity solutions combined with single-pane-of-glass visibility across the ecosystem, enabling organisations to maintain consistent security policies across the entire infrastructure to effectively manage risk at less cost, while easing the burden on security teams.

Securing all types of clouds
Protecting an organisation’s systems and assets in the cloud should be a primary priority, wherever they reside. Making this possible starts by ensuring that multi-cloud and hybrid networks are able to see and talk to each other for quick detection and resolution of security incidents. Regardless of which combinations of cloud your organisation chooses to consume, security needs to be natively deployed and be able to adapt to and protect all of these environments.

Discussions about the relationship between cloud computing and edge computing have a tendency to present the cloud and edge as opposite types of architectures and to treat them as an either/or proposition.

This isn’t the best way to think about cloud and edge. Although there are key differences between cloud and edge computing, the cloud and the edge don’t compete with each other as much as they complement each other.

Differences between cloud and edge
The differences between cloud computing and edge computing boil down largely to where workloads are hosted.

In a conventional cloud, data and applications are housed in large data centers located within a public cloud vendor’s network.

In an edge architecture, workloads are hosted in a location that is “closer” — from the perspective of the network — to end-users than is a traditional data center.

Multiple approaches to edge computing
It’s worth noting that the definition of edge can get a little messy because there are many possible ways to build an edge architecture. Sometimes, an edge environment runs directly on end-user devices. In others, it looks more like a traditional data center populated by conventional servers, which happen to be closer to end-users than traditional cloud data centers.

Cloud computing tends to be more straightforward from an architectural perspective. Although there can be some variation in which cloud regions and zones teams use to host workloads, all public cloud environments rely on conventional data centers that are comparatively distant — again, in networking terms — from end-users.

Why cloud and edge computing go together
Although cloud and edge computing are fundamentally different types of architectures, “cloud vs. edge” is not necessarily the best way to think about them.

In many cases, it makes sense to use both cloud and edge at the same time. Cloud data centers can host workloads that don’t require the minimal latency and high reliability of those hosted on the edge, while edge infrastructure handles those that do.

By pairing cloud and edge together, organizations can leverage the scalability and ease of deployment of cloud environments while still achieving high-performance goals that cloud data centers can’t always support due to network latency issues.

This isn’t to say that you always have to use cloud and edge at the same time. It’s entirely possible to host applications or data in the cloud without also running an edge environment. It’s also possible — although less common — to use edge without using a public cloud.

Cloud and edge supercharge performance
But in general, using cloud computing and edge computing at the same time can lead to the best overall outcome from a performance perspective. The only big downside is that it can be harder to manage a cloud environment and an edge environment at the same time, although platforms like Kubernetes simplify this by making it easy to deploy applications to both types of environments from a central management plane.

GCP or Google Cloud Platform is one of the fastest-growing cloud platforms in the industry. The platform helps manage computing, provide large-capacity data storage, offer robust machine learning services, and more. Here is a list of the best resources to learn GCP online. The courses are meant for students and professionals who want to try their hands on the popular cloud platform.

Google Cloud training
About: This training is provided by the developers of the Google Cloud platform. The tutorials will help you understand how to master implementing, deploying, migrating, and maintaining applications on cloud infrastructure, build cloud-native applications using Google Cloud’s end-to-end solutions, leverage data and gain real-time insights to improve decision-making and accelerate innovation, implement end-to-end machine learning models and learn how to deploy the latest artificial intelligence tools and more.

Google Cloud Platform (GCP) Fundamentals for Beginners
About: This course provides an overview of the Google Cloud Platform. From the core building blocks such as Compute, Networking, and Storage to the advanced services, this online tutorial helps understand the key concepts and steps on how to start being productive. Each section of this course includes a hands-on demo of one of the key services.

Developing Applications with Google Cloud Platform Specialization
About: In this specialization, you will learn how to design, develop, and deploy applications that seamlessly integrate managed services from GCP. Through a combination of presentations and hands-on labs, you will learn how to use the GCP services and pre-trained machine learning APIs to build secure and intelligent cloud-native applications.

Google Cloud Platform Fundamentals: Core Infrastructure
About: This course introduces you to essential concepts and terminology for working with GCP. You will learn about various vital resources and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. You will also learn about many computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.

Google Cloud Platform Full Course
About: This is a three-hour online video tutorial on Google Cloud Platform by Simplilearn. The tutorial covers all the critical concepts of Google Cloud Platform, such as GCP, AWS vs GCP, Google Cloud ML, fundamentals of GCP and more.

GCP: Complete Google Data Engineer and Cloud Architect Guide
About: This course is a comprehensive guide to the Google Cloud Platform for ML with TensorFlow, Big Data with Managed Hadoop. You will learn how to deploy managed Hadoop apps on the Google cloud platform, build deep learning models on the cloud using TensorFlow, use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub, etc.

Machine Learning with TensorFlow on Google Cloud Platform Specialization
About: In this course, you will learn how to write distributed machine learning models that scale in Tensorflow. You will also learn how to convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization.

Google Cloud Platform Training | Introduction To GCP
About: This is an online video tutorial offered by Edureka. You will get comprehensive training on the Google Cloud Platform. The course starts with the basics of Cloud Computing. As the course progresses, you will understand the GCP core infrastructure, how to manage GCP services such as GCP compute services, GCP database services, GCP security services, GCP networking services, GCP IAM etc.

Beijing: Alibaba’s cloud computing unit is making its Apsara operating system compatible with processors based on Arm, x86, RISC-V, among other architectures, the company has said.

Alibaba Cloud is one of the fastest-growing businesses for the Chinese e-commerce giant and the world’s fourth-largest public cloud service in the second half of 2020, according to market research firm IDC.

“The IT ecosystem was traditionally defined by chips, but cloud computing fundamentally changed that,” Zhang Jianfeng, president of Alibaba Cloud’s Intelligence group, said at the conference on Friday.

A cloud operating system can standardise the computing power of server chips, special-purpose chips and other hardware, so whether the chip is based on x86, Arm, RISC-V or a hardware accelerator, the cloud computing offerings for customers are standardized and of high-quality,” Jianfeng added.

The global chip market has mostly been dominated by Intel’s x86 in personal computing and Arm for mobile devices.

But RISC-V, an open-source chip architecture competitive with Arma’s technologies, is gaining popularity around the world, especially with Chinese developers.

Started by academics at the University of California, Berkeley, RISC-V is open to all to use without licensing or patent fees and is generally not subject to America’s export controls.

The Trump Administration’s bans on Huawei and its rival ZTE over national security concerns have effectively severed ties between the Chinese telecom titans and American tech companies, including major semiconductor suppliers.

Arm was forced to decide its relationships with Huawei and said it could continue licensing to the Chinese firm as it’s of UK origin, the report said.

But Huawei still struggles to find fabs that are both capable and allowed to manufacture the chips designed using the architecture, it added.

The US sanctions led to a burst in activity around RISC-V in China’s tech industry as developers prepare for future tech restrictions by the US, with Alibaba at the forefront of the movement.

Alibaba Cloud, Huawei and ZTE are among the 13 premier members of RISC-V International, which means they get a seat on its Board of Directors and Technical Steering Community.

A lot of noise and misunderstanding exists in the user marketplace about what digital transformation is, and the roles that artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT) play in implementing it.

Digital transformation is of major importance to businesses and organizations. Alphabet, a driving force in the digital marketplace, reported record profits in the second fiscal quarter of 2021 based on very strong digital ad sales, internet searches, and the growth of cloud services. Many companies have recognized the importance of digital transformation as a key strategy to gain a competitive edge in the marketplace.

Digital Transformation

Digital transformation is a process that has been ongoing for decades whether businesses have focused on it as a paradigm shift in the way business is conducted or not. Email, ERP platforms, cloud computing, digital advertising, online retailing, telehealth, working remote and video streaming are a few examples of businesses and processes that have undergone digital transformation. All these changes were made possible by transformation to digital processes.

Businesses and organizations have begun to realize that digital transformation can be planned and implemented proactively to be more competitive, enhance customer experiences, and improve processes that are customer touch points. AI and ML tools and the IoT channel are readily available for the planning and implementation of a proactive digital transformation strategy.

Role of AI and ML

AI and ML are tools that can be used to plan and implement a digital transformation that focuses on what is needed to gain a competitive edge with customers now and in the future. They help companies develop comprehensive strategies for data transformation based on real-time market intelligence rather than piece-meal tactics of disjointed updating of systems and processes.

ML uses big data to analyze and correlate patterns which can offer insights into customer behavior and other events. It provides insights on solutions to improve business processes and customer experiences. Instead of finding out about a change in customer behavior after sales have already declined, ML can help to identify shifts in behavior and events as they happen so solutions can be devised to head off a decline in sales.

AI uses algorithms to create or adjust programs to take advantage of the insights gained with ML. AI mimics human intelligence to identify and react to behavior and events. Programs based on insights to behavior and events from ML can improve customer experiences and business processes.

Using AI and ML in planning and implementing a digital transformation puts businesses and organizations in position to stay ahead of the curve. With AI and ML information is analyzed in real-time to increase responsiveness to changes in customer behavior and events, and make business processes including IT operations more efficient.

Digital transformation directed and driven by AI and ML enables the gathering and analysis of data to better understand customers to help accelerate introduction of new products and services.

With AI and ML data transformation has become a constantly evolving process, providing insights and responses to the ever changing dynamics of customers and the marketplace.

Role of IoT

The IoT is the network of objects that have software, sensors, smart devices and other instruments incorporated in them to link and exchange data with other systems and devices over the internet. It is the channel for gathering data used in AI and ML, and for interacting with customers by way of the “things” in IoT to improve customer experiences and business processes. The internet and all the things it connects provides the ability to implement digital transformation. IoT is the conduit that makes data-driven, intelligent data transformation possible.

Businesses and organizations face two choices when they contemplate digital transformation. They can make decisions on digital transformation that are not coordinated or supported by market data, or base digital transformation strategies on the constantly evolving real-time data gathered via the IoT and analyzed and responded to with AI and ML. The organizations that choose the latter approach will gain competitive advantage in the marketplace.