Category Archives: Cloud Computing
LONDON, Oct 8 (Reuters) - New rules will be needed to deal with operational risks from banks relying on outsourced 'cloud' computing from Amazon (AMZN.O), Google (GOOGL.O), Microsoft (MSFT.O) and others for providing services to customers, the Bank of England said on Friday.
"Regulated firms will continue to have primary responsibility for managing risks stemming from their outsourcing and third-party dependencies," the BoE's Financial Policy Committee said in a statement.
"However, additional policy measures, some requiring legislative change, are likely to be needed to mitigate the financial stability risks stemming from concentration in the provision of some third-party services."
Measures should include an ability to designate some third parties as 'critical', meaning they would be required to meet 'resilience' standards which would be regularly tested.
The BoE and the Financial Conduct Authority are due to publish a discussion paper on the subject next year, it said. The measures are similar to those in a European Union law now making its way through the approval process.
"These tests and sector exercises of critical third parties could potentially be carried out in collaboration with overseas financial regulators and other relevant UK authorities," the BoE said.
The BoE had already sounded a note of caution about the cloud and is now checking banks for their "exit strategy", or how quickly they could switch to an alternative cloud provider or in-house back up if there is a cloud outage to avoid disruption to customers, consultants KPMG said. read more
This has already led to banks thinking harder about the business case for the cloud in some services, and whether it would get the green light from regulators.
"Trying to replicate this service on premises or a different cloud actually doubles your cost," said Mark Corns, a director for technology consulting at KPMG.
Banks who moved early into the cloud are having to "retrofit" resilience requirements, Corns said.
"What we are seeing is a much more tentative approach to what goes into the cloud. Now we've got this clearer guidance from the regulators, what it's doing is challenging the banks to figure out what and how they gain the benefit," Corns said.
Reporting by Huw Jones, Editing by Louise Heavens
Our Standards: The Thomson Reuters Trust Principles.
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New rules needed to cover risks from cloud computing, says Bank of England - Reuters
Cloud computing has revolutionized the field of tech in recent years. Pretty much all companies, no matter their size or scope, use cloud-based resources to their advantage. Organizations increasingly rely on artificial intelligence (AI), data analytics and automation to remain relevant; and the cloud makes these services available more quickly than ever before.
In addition to speed, the cloud offers the ability to provide myriad services at scale using technologies ranging from traditional virtual machines to serverless computing. As businesses require more flexibility, they also use the cloud to process large volumes of complex traffic. The benefits that cloud computing offers businesses are simply too great to ignore.
Cloud computing certifications are more in-demand than ever for good reason they ensure workers can both leverage and fulfill the promises that are found in the cloud.
Before the cloud revolution, businesses worldwide had to deal with a wide array of issues stemming from designing and running their own IT infrastructure. What used to be a time-consuming and costly undertaking was made even more expensive by having to keep IT support and security staff on the premises.
However, cloud platforms like Amazon Web Services (AWS), Microsoft Azure and Google Cloud were able to take some of those issues out of the equation. Nowadays, international companies can focus on running, optimizing and scaling their operations by using third-party cloud platforms.
The cloud has changed the playing field for companies throughout the world. Lets take a look at five essential ways the cloud has revolutionized the way global organizations operate. Pay special attention to how cloud computing has revolutionized how IT professionals support todays businesses.
International businesses are increasingly dynamic and need to adapt to changing circumstances more often than ever before. Without the cloud, organizations worldwide never would have been able to adjust to the global personnel and supply chain challenges weve experienced over the past couple of years.
A company that meets market demands and blows up seemingly overnight will need to substantially expand its IT infrastructure and efforts in a short amount of time. On the other hand, a company that is going through a tough period might need to scale down a bit in order to cut costs and this can result in laying off staff and smaller budgets for IT infrastructure maintenance. With cloud solutions, however, both of these scenarios are actually quite easy to handle.
Cloud computing providers allow you to quickly scale your operations up or down. No matter your circumstances, cloud platforms will help you optimize your companys resources and expenses in every situation. The catch? You will need to train technologists to understand how to optimize your resources and map them to current business needs.
Before cloud technology was widely available, companies had to spend a lot of money on creating their own physical IT infrastructure. This infrastructure often couldnt adapt quickly. It also became obsolete quite quickly. Whats more, organizations had to employ entire teams of experts to run, monitor and optimize this infrastructure.
This situation wasnt sustainable. Businesses often found themselves focused on thorny technology issues, rather than the activity of mapping ready-made technology to their mission-critical business concerns. The result was that businesses incurred a serious opportunity cost, because they could not focus resources in the right direction.
Using cloud platforms allows businesses to remain on-task, and use technology more wisely. Organizations will still need to employ specialized technologists to use the cloud. But workers of all capabilities will be able to work far more efficiently with cloud resources. In other words, more employees even those who consider themselves not technical will be able to use cloud technologies to create sophisticated solutions. As a result, technology will be truly integrated within an organization to create more useful business solutions. Some call this trend the democratization of technology.
Effective communication and teamwork are fundamental to the success of any international business. The cloud has become the primary platform for increased collaboration and the ability to leverage talent more efficiently. Over the last decade, collaboration between overseas teams, remote work and local third-party contractors using software as a service (SaaS) tools like Office 365, Salesforce and Google Apps has become the norm.
Effective communication will be even more important as organizations face new challenges moving forward. These challenges will include interpersonal and intercultural communication issues, as well as coordinating the use of cloud applications accessed from various parts of the globe.
Like any powerful set of technologies, the cloud can provide enhanced security, if it is managed correctly. In years past, organizations in all industry sectors worried about perceived cloud security issues. One worry was that the platform provider could somehow access the data of its clients. Most governments and businesses worldwide are now convinced that this is not an issue, and trust the cloud with even the most sensitive data.
Another perceived weakness was the perception that the cloud provider was fully responsible for all security. It is true that cloud platforms give businesses the freedom to choose their own security settings, restrictions and policies. Cloud platforms make it possible to use multi-factor authentication (including 2FA), state-of-the-art encryption and advanced procedures. They can also provide the ability to automatically update certain elements of the necessary infrastructure to support a business.
But its important to understand that using the cloud implies a shared responsibility model: The cloud provider is responsible for making sure that the platforms that support an organizations applications are secure. And organizations that use cloud-provided platforms shoulder the responsibility of making sure that the code they create and use is secure. Organizations are also responsible for making sure they configure cloud applications and services correctly.
Consider the following analogy: If you lease an apartment, it is the responsibility of the apartment complex to provide a dwelling that conforms to fire safety codes. For example, the dwelling should have working fire detection equipment and should have safe appliances like a stove, microwave, etc. But the apartment complex is not responsible if the person living in the apartment misuses those appliances and starts a fire. This is why the world needs more qualified workers that understand where responsibilities start and stop when it comes to uptime considerations, business continuity and disaster recovery.
Data loss can be devastating and potentially fatal to a business. One of the biggest issues with traditional installed IT solutions is that they are more likely to malfunction and fail catastrophically. If such a thing occurs, it might be hard to recover your data. Depending on the backup and recovery protocols implemented, you might not be able to save your data at all. Thankfully, cloud computing makes it possible to take care of that issue as well.
When using a cloud platform, your data is stored away from your premises on third-party servers. Cloud platforms can ensure that all your information is safe in the event of downtime or other issues. They can also implement advanced backup and security protocols so that no data is lost even if the servers shut down unexpectedly.
Yet, businesses still need to enable these services, and also weigh the costs associated with using them. With the cloud, almost any service is available. But that availability often incurs costs that need to be carefully considered.
Organizations worldwide will continue to invest in technologies that allow them to thrive. The cloud makes it possible to leverage technologies and architectures that were once out-of-reach to most businesses. We live in a cloud-first, hybrid computing world, where cloud-based solutions will work together with more traditional data center and server room solutions. As long as we have leaders and workers who know how to efficiently manage cloud-based technologies, international companies will be able to adapt to current conditions and thrive.
As CompTIAs Chief Technology Evangelist, Dr. James Stanger has worked with IT subject matter experts, hiring managers, CIOs and CISOs worldwide. He has a rich 25-year history in the IT space, working in roles such as security consultant, network engineer, Linux administrator, web and database developer and certification program designer. He has consulted with organizations including Northrop Grumman, the U.S. Department of Defense, the University of Cambridge and Amazon AWS. James is a regular contributor to technical journals, including Admin Magazine, RSA and Linux Magazine. He lives and plays near the Puget Sound in Washington in the United States.
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The Benefits of Cloud Computing for International Companies - Global Trade Magazine
By 2020, 50% of businesses already have their workloads in the public cloud, says Stamford, a Connecticut-based research platform. With the aid of AWS auto-scaling, businesses that own applications in the cloud are able to monitor them while also ensuring that it automatically adjusts server capacity in order to maintain the performance of applications. This way, applications will not only have a stable, balanced, and predictable performance, but they can also achieve these changes at extremely reduced prices. The service exists to make the scaling process a straightforward one coupled with suggestions in regards to the optimization of application performance.
Srushti Shah is an ambitious, passionate, and out-of-the-box-thinking woman having vast exposure in digital marketing.
Given that by 2020, majority of businesses already had their workloads in the public cloud, it would come as no surprise to note how much more crucial cloud computing has become for organizations the world over. But as the demand for cloud-based services increases, so also does the need for load balancing and auto-scaling features in order to optimize performance and accessibility within cloud applications.
As such, one cannot talk about cloud optimization without referring to Amazon Web Services (AWS) and its role in bringing auto-scaling in cloud computing environments to the forefront. And if the research conducted by Stamford, a (Connecticut-based research platform) is anything to go by, the numbers gathered reveal that AWS owns about half of the entire public cloud infrastructure, amounting to a whopping 47.8%.
In that vein, this article will take you through what auto-scaling is all about and what benefits it holds in a cloud computing environment, especially with respect to Amazon Web Services.
With the aid of AWS auto-scaling, businesses that own applications in the cloud are able to monitor them while also ensuring that it automatically adjusts server capacity in order to maintain the performance of applications.
This way, applications will not only have stable, balanced, and predictable performance, but they can also achieve these changes at extremely reduced prices.
Moreover, be it in decreasing or increasing the natural capacity of the Amazon Web Services software, auto-scaling through the platform is more than cost-effective for businesses. This is because AWS autoscaling ensures that all the scalable cloud-based services and resources within an organizations applications will be monitored.
Through AWSs cloud auto-scaling service, businesses are afforded an uncomplicated yet powerful user interface that allows companies to create scaling plans with the aid of several Amazon Web Services resources.
The resources that are set up to use Amazon Web Services auto-scaling features include:
The service exists to make the scaling process a straightforward one coupled with suggestions in regards to the optimization of application performance, cutting costs, and finding a balance between the two. It is through AWS auto-scaling that cloud infrastructures are able to make use of resources of the right kind at a time when it is required.
Although AWS auto-scaling is touted as one of the best in the market, just like any other close-sourced software used in cloud management, it comes with its share of benefits and disadvantages. Lets look at them now.
Scaling is swift and unified - With AWS, auto-scaling is consolidated and unified for all the scalable resources that power a businesss application or cloud infrastructure. AWSs features include the ability to view what the average utilization for every scalable resource looks like and promptly determine the target utilization levels you want to set for every group of resources from a unique, intuitive interface.
Easily predictable scaling - Because AWS auto-scaling measures both the least as well as the highest limits between which a cloud environments resources will scale, it is predictable in nature. At any point in time, businesses can promptly ascertain the least possible performance and greatest cost of the cloud environment.
Make informed scaling decisions - With the aid of AWS auto-scaling, your company can automate how groups belonging to different resources react to an increase or decrease in demand. As previously mentioned, the auto-scaling strategy with AWS is simple enough to grasp; businesses can choose to optimize a number of things which include:
As such, AWS auto-scaling lets companies set preferences and consequently fixes targets while also ensuring that it establishes scaling policies automatically as per a companys choice.
Keep up application performance automatically - Its the greatest advantage yet because, with Amazon Web Services autoscaling features, businesses can regularly and continuously keep an eye on all the resources that their application needs.
This is to ensure that all operational resources are at a companys desired performance levels. As soon as server requests hike up, AWS auto-scaling will automatically boost the capacity levels of previously constrained resources. This action allows businesses to maintain and even better the quality of service they provide to customers and clients.
Although it is a unanimously agreed upon detail that AWS auto-scaling comes with very few disadvantages, businesses would do well to know what these cons are. As such, lets get a brief glance at them now.
Integration and synchronization, especially in terms of making regular code changes, may prove to be difficult tasks.The initial setting up of AWS auto-scaling may become too complicated, and engineers would have to go through prior training in order to familiarize themselves with the software.
Before businesses decide to invest in AWS and its auto-scaling features, you can benefit from understanding its workings, what sort of investments you would need to make in terms of equipping engineers with the knowledge and skills required, as well as investment costs.
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Auto Scaling in Cloud Computing with AWS: Top 4 Advantages - hackernoon.com
A report from Google Cloud has highlighted how researchers in many fields are increasingly using cloud-based online collaboration and communication tools, AI and Machine Learning, following the disruption caused by the pandemic.
Polling almost 1,600 researchers from all over the world, the company found that many struggled to manage their workloads without interacting face-to-face with their colleagues and peers.
Globally, two-thirds (67%) reported a slowdown in progress, while 85% said they couldnt innovate effectively. Furthermore, 77% struggled to test, compute and collaborate effectively in a remote working environment.
All of this accelerated the demand for cloud-based and VR-powered collaboration and communication tools. Virtual meetings were up 91%, while the use of chat apps rose 62%, globally. Disruptive technologies, such as cloud, data and analytics, digital productivity, or AL/ML tools, are all being increasingly deployed. Among 96% of the respondents, at least one such tool is in use, right now.
While most businesses, both in the public and private sector, switched entirely to remote working to remain operational during the Covid-19 pandemic, some werent so lucky as to have that opportunity.
Among those are scientists in various critical fields, such as medical research, geophysics, climate science, chemistry, or computer engineering.
Even with the rollout of the vaccines and the pandemic slowly subsiding, investment in cloud and cloud-based solutions wont dwindle, the company found. More than half (52%) believe their firms will invest even more funds in cloud-based technologies over the next 12 months.
If new variants continue to keep researchers away from their labs and inside the virtual realm, Google argues businesses should use the cloud to scale as needed, leverage AI and ML as much as possible, optimize their data, and maximize ROI. That way researchers from both public and private facilities can continue working unabated.
TEL AVIV, Israel, Oct. 7, 2021 /PRNewswire/ -- Granulate, a provider of autonomous real-time computing workload optimization and cost reduction solutions, today announcedit is joining the Cloud Native Computing Foundation (CNCF), part of the nonprofit Linux Foundation. The announcement comes as part of Granulate's deepening connection to the cloud computing community and the Kubernetes and open-source ecosystems.
"Becoming a more active member of the Cloud Native and Linux communities has long been a goal for our company as we grow, and joining the CNCF is a major milestone for us," said Asaf Ezra Co-Founder and CEO of Granulate. "As cloud adoption continues to grow, creating real-time visibility into cloud environments will only become more critical for the success of companies of all sizes, and we are excited to have our role to play in the cloud community."
Designed for use on any environment and architecture, Granulate is pioneering real-time continuous optimization for on-premise, cloud, and Kubernetes environments, which have become increasingly important. According to the 2020 CNCF Cloud Native Survey, the use of Kubernetes in production environments has risen to 83%, a 5% increase from 2019, and a 25% increase over the usage rates in 2018.
"We are thrilled to have Granulate as a member of the CNCF, and to have a new partner that is dedicated to bolstering the resources for those who dedicate themselves ensuring that the cloud becomes the standard for all," said Priyanka Sharma, Executive Director of the Cloud Native Computing Foundation
Joining the CNCF comes along with Granulate's continued development and addition of new features to the company's free open-source gProfiler, a production profiling toolthat measures the performance of code in production to facilitate computing optimization, improve code quality, and save on computing costs. Granulate's gProfiler empowers R&D and DevOps teams to maximize their applications' performance, improve the quality of their code and reduce cloud costs - all with simple installation and no code changes. Granulate recently launched gProfiler's Kubernetes Filters feature which supports both cluster-wide profiling and filtering Kubernetes deployments.
Granulate will be sponsoring the KubeCon + CloudNativeCon North America 2021 Conference from October 11 - 15. The conference is Cloud Native Computing Foundation's flagship event and gathers adopters and technologists from leading open source and cloud-native communities.
About Cloud Native Computing Foundation
Cloud-native computing empowers organizations to build and run scalable applications with an open-source software stack in public, private, and hybrid clouds. The Cloud Native Computing Foundation (CNCF) hosts critical components of the global technology infrastructure, including Kubernetes, Prometheus, and Envoy. CNCF brings together the industry's top developers, end-users, and vendors, and runs the largest open-source developer conferences in the world. Supported by more than 500 members, including the world's largest cloud computing and software companies, as well as over 200 innovative start-up's, CNCF is part of the non-profit Linux Foundation. For more information, please visit http://www.cncf.io.
Granulate is a real-time, autonomous computing optimization company that delivers reduced compute costs, faster response time, and better throughput, without any code changes required. Granulate's patent-pending next-generation solution provides AI-driven, infrastructure and workload optimization for robust compute performance and cost improvements in any computing environment, empowering businesses of any size from any industry by bolstering their computing power while slashing computing costs. Companies that have implemented Granulate have reduced compute expenses by up to 60%, benefitting from a 40% response time reduction and 5X increase in throughput.
Granulate Contact: Raanan Loew[emailprotected]US: +1-347-897-9276
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According to McKinsey & Company, weve seen digital transformation accelerate seven years ahead of schedule due to the COVID-19 pandemic. The report also showed a seven year acceleration, on average, of companies creating digital or digitally-enhanced offerings.
Rather than this change being driven by B2B or B2C companies, it is instead being determined by those with or without physical products. The report states that the reported increases are much more significant in healthcare and pharma, financial services, and professional services, where executives report a jump nearly twice as large as those reported in CPG companies.
To further bolster this acceleration, a more recent study from IBM suggested the pandemic accelerated digital transformation by 59%. 60% of respondents also said COVID-19 adjusted our approach to change management and accelerated process automation, with 64% acknowledging a shift to more cloud-based business activities.
McKinsey & Company followed up their digital transformation report with a survey on digital consumer habits, which found a 20% growth in fully digital users in the six months ending in April 2021. Unsurprisingly, the survey showed a slight decrease in online activities once the world came out of lockdown for sectors like apparel, general retail, and grocery, where physical experiences are still valued by consumers. But this slight decrease is minimal in comparison to the general global increased digital footprint - across developed and developing countries.
Whether at home, in the office, working, or not, our lives are almost fully digital now, with a growing number of the technologies and applications we use every day being cloud-based. But, as mentioned above, every aspect of modern computing has a carbon price tag attached to it. With more people using more devices every day, there is a cost to the environment - and its one a lot of computing companies dont pay attention to. Experimentation to advance the human race at the cost of, well, the Earth.
Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) are trying to solve the impact modern computing is having on climate change - by realising its true effect on the environment and how to create and implement more sustainable practices. Earlier this year, they delivered their findings in a paper called Chasing Carbon: The Elusive Environmental Footprint of Computing.
The study found that carbon emissions have two sources: operational energy consumption, and hardware manufacturing and infrastructure. While algorithmic, software, and hardware innovations that boost performance and power efficiency help reduce the carbon footprint of operational energy consumption, the overall carbon footprint of computer systems continues to grow.
The paper specifically highlights data centres as contributing to carbon emissions - they account for 1% of global energy consumption, which is unsurprising when you think about how much energy is required to house and cool their servers. This helps demonstrate the importance for companies using the cloud to ensure they work with providers and hosting companies that are carbon-thoughtful.
The paper also looked at how reducing the complexity of devices could reduce manufacturing emissions. For example, look at modern chip design which houses silicon and billions of transistors. With only one small portion of the chip being used at any one time, theres a lot of unused silicon - or dark silicon, as its called - that increases performance. But at what cost to the environment?
Time is running out. The Intergovernmental Panel on Climate Change - the worlds leading authority on climate science - recently announced that human activity was unequivocally the cause of rapid changes to the climate. Confirming temperatures are on course to rise by at least 1.5 degrees over the next two decades, the IPCC said only rapid and drastic reductions in greenhouse gases in this decade can prevent such climate breakdown.
Every action or inaction has an impact on the environment and companies cannot play the ignorance card anymore. With more people moving online, companies delivering computational products and services must ensure they are doing so in the most sustainable way possible. This is especially important for those working in modern computing - what is the environmental impact your innovations are having? Do they cause more damage even when they are meant to solve the climate change crisis?
The cloud is enabling various products and services to help tackle the climate crisis around the globe but not all clouds are the same. You must consider the impact your provider is having - are they using renewable energy? Are they offsetting their carbon? Are they ensuring the most sustainable practices are in place? We need to all work together to reduce our carbon footprint now - and, when it comes to the cloud and the worlds accelerated digital transformation, that means looking at your own carbon footprint as well as your suppliers.
Jake Madders, along with his business partner Jon Lucas, founded Hyve Managed Hosting, in 2001. Since then, in his role as Director, Jake has facilitated the growth of Hyve from a small start-up to a hugely successful managed cloud hosting company with a global customer base.
Jake can often be found discussing a range of cloud and tech topics such as password security, preparing for cyber attacks, and the importance of diversification of tech.
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Every cloud has a green lining - BCS
Cloud Computing Data Center IT Asset Disposition (ITAD) Market SWOT Analysis by Size, Status and Forecast to 2021-2027 Canoom – Canoom
A newresearch study on Global Cloud Computing Data Center IT Asset Disposition (ITAD) Marketis added by HTF MI in its repository with an aim to offers a complete assesment about the factors influencing and overall market growth trend. The study covers latest development insights with disrupted trends and breakdown of Cloud Computing Data Center IT Asset Disposition (ITAD) products and offering correlated with macro-economic headwinds and slowdown. Quantitative statistics with qualitative reasoning related to market size, share, growth influencing factors of Cloud Computing Data Center IT Asset Disposition (ITAD) market are evaluated with Pre and Post 2020 by studying market dominant and emerging players ecosystem. Some of the players that are listed in the study are Arrow Electronics, Sims Recycling, IBM, HPE, Atlantix Global Systems, Iron Mountain Incorporated, GEEP, Dell, ITRenew Inc., Apto Solutions, CloudBlue Technologies & Dataserv.
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Strategic Points Covered in Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market Table of Content
Chapter 1: Introduction, the basic information of the Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market & product overviewChapter 2: Objective of Study and Research Scope of the Cloud Computing Data Center IT Asset Disposition (ITAD) marketChapter 3: Cloud Computing Data Center IT Asset Disposition (ITAD) Market Dynamics- driving growth factors, disruptive forces, Trends and Challenges & OpportunitiesChapter 4: Market Factor Analysis, Cloud Computing Data Center IT Asset Disposition (ITAD) Value Chain, PESTEL & PORTER Model, Market Entropy, Patent/Trademark AnalysisChapter 5: Player Analysis; Competitive Landscape, Peer Group Analysis of Cloud Computing Data Center IT Asset Disposition (ITAD), Strategic Group Analysis, Perpetual Mapping, BCG Matrix & Company ProfilingChapter 6: Displaying Market Revenue Size by Type, application /vertical or end users, other Segments (2016-2026)Chapter 7: To evaluate the market by countries further broken down by countries (2016-2026)Chapter 8: Research MethodologyChapter 9: Data Source.
Major Highlights of Cloud Computing Data Center IT Asset Disposition (ITAD) Competitive Landscape
The company profile section of Cloud Computing Data Center IT Asset Disposition (ITAD) study analyses the companys operational structure, major products and services offering, geographic footprints and subsidiaries, key management executives and their biographies along with major and closest peer competitors.Understand and respond to Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market competitors; business strategies, and capitalize on strength and weakness with SWOT analysis.Latest developments of Cloud Computing Data Center IT Asset Disposition (ITAD) players and track findings and outcome following development.Potential investments and merger & acquisition targets set by giants in Cloud Computing Data Center IT Asset Disposition (ITAD) Industry, with detailed insight into the companys strategic & top-line and bottom-line performance.Highlighting key financial ratio and metrics of public and private companies of Cloud Computing Data Center IT Asset Disposition (ITAD) that include the revenue trends, growth margins, liquidity and leverage and efficiency ratios.To add value to product and services; Cloud Computing Data Center IT Asset Disposition (ITAD) research comprises of valuable measures showing distinguishable traits/features that influence end users behaviour and demand metrics.
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Face Recognition Market Research Report by Type, by Computing, by Vertical, by Application, by Region – Global Forecast to 2026 – Cumulative Impact of…
Face Recognition Market Research Report by Type (Artificial Neural Networks, Classical Face Recognition Algorithms, and D?based Face Recognition), by Computing (Cloud Computing and Edge Computing), by Vertical, by Application, by Region (Americas, Asia-Pacific, and Europe, Middle East & Africa) - Global Forecast to 2026 - Cumulative Impact of COVID-19
New York, Oct. 08, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Face Recognition Market Research Report by Type, by Computing, by Vertical, by Application, by Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06169309/?utm_source=GNW
The Global Face Recognition Market size was estimated at USD 4,178.26 million in 2020 and expected to reach USD 5,007.90 million in 2021, at a CAGR 20.19% to reach USD 12,598.07 million by 2026.
Market Statistics:The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period.
Market Segmentation & Coverage:This research report categorizes the Face Recognition to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Type, the market was studied across Artificial Neural Networks, Classical Face Recognition Algorithms, D?based Face Recognition, Face Descriptor?based Methods, and Video?based Recognition.
Based on Computing, the market was studied across Cloud Computing and Edge Computing.
Based on Vertical, the market was studied across Automotive & Transportation, BFSI, Education, Energy & Utilities, Government & Defense, Healthcare, Manufacturing, Consumer Goods & Retail, and Telecommunications & IT.
Based on Application, the market was studied across Access Control, Attendance Tracking & Monitoring, Emotion Recognition, Law Enforcement, Robotics, eLearning, Advertising, and Payment.
Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, and Thailand. The Europe, Middle East & Africa is further studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.
Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Face Recognition Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Competitive Scenario:The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitors strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Face Recognition Market, including Animetrics, AnyVision, Aware, Inc., Ayonix Corporation, Clarifai, Cognitec Systems GmbH, Daon, DeepGlint, FaceFirst, Inc., Gemalto NV, id3 Technologies, IDEMIA, Innovatrics, Megvii, NEC Corporation, Neurotechnology, NVISO SA, SenseTime, StereoVision Imaging, Inc., Techno Brain Group, Visage Technologies, XJERA LABS, XRVision Pte. Ltd., Yitu Technology, and ZOLOZ CO., LTD..
The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:1. What is the market size and forecast of the Global Face Recognition Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Face Recognition Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Face Recognition Market?4. What is the competitive strategic window for opportunities in the Global Face Recognition Market?5. What are the technology trends and regulatory frameworks in the Global Face Recognition Market?6. What is the market share of the leading vendors in the Global Face Recognition Market?7. What modes and strategic moves are considered suitable for entering the Global Face Recognition Market?Read the full report: https://www.reportlinker.com/p06169309/?utm_source=GNW
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The University of Bath is upgrading its HPC infrastructure, which it says supports a growing and wide range of research activities across the University. The previous system, Balena, is being replaced by a new, Microsoft Azure-based cloud HPC environment called Janus. Janus will be complemented by a bespoke on-campus [high-throughput computing] cluster running software applications that cant be moved off campus.
Janus, the University said, makes it the first university worldwide to move almost all its HPC research to Microsoft Azure platform[.] The new cloud environment contains an unspecified smattering of HB-series, HBv2-series, HBv3-series nodes, which contain between 16 and 120 AMD CPUs per node; HC-series nodes, which contain 44 Intel CPUs per node; Fsv2-series nodes, which contain between two and 72 Intel CPUs per node; and NCv3-series and NDv2-series nodes, which contain between one and eight Nvidia Tesla V100 GPUs per node.
These nodes are supported by an aggregate of 34TB of dedicated storage (including 16TB for storing data and 16TB of scratch space) and Mellanox EDR InfiniBand networking, all of which is connected via VPN to Bath through a 1GB/s connection. Janus uses Azure CycleCloud for automated configuration and management of the environment and Slurm for cluster job scheduling.
Meanwhile, the new HTC cluster, named Anatra, includes eight compute nodes, each equipped with dual AMD Milan CPUs, 256GB of memory and 960GB of NVMe storage. Anatra is based on RedHat Enterprise Linux v8 and uses a Slurm scheduler.
The University says that Janus will enable a myriad of benefits for its students and researchers, including significantly reduced compute times and a large diversity of cutting edge compute options, regularly updated to meet evolving research needs. Indeed, the Janus announcement follows the Universitys two years of exploration into the suitability of cloud infrastructure, including an HPC cloud service pilot project that it ran last summer with two dozen researchers.
We used Azure as part of the pilot project for running our computational fluid dynamics simulations with the program OpenFoam, said Katharine Fraser, a lecturer in the Department of Mechanical Engineering at the University of Bath. It was great to be able to run these large simulations just when we wanted, rather than waiting in the queue, and transitioning from Balena was straightforward with Azure having a user-friendly interface. In future, the wide variety of nodeswill be beneficial for running different types of simulations. The flexibility that cloud computing promises for engineering research is really exciting!
Both Janus and Anatra are still under development and will gradually be made available to researchers and postgraduate students at the University. The University is accepting applications for early-access user groups.
Balena, which Janus and Anatra will eventually replace, is pictured in the header image and includes 196 Intel Ivy Bridge nodes and 17 Intel Skylake nodes and delivers 63.2 peak teraflops of compute power.
The pandemic has emphasized the need for cloud readiness and digital modernization among the business leaders of today. This new normal post-pandemic is driving organizations to make decisions faster while maintaining business continuity and ensuring data security. The growing remote work and cloud adoption now bring the Chief Information Security Officers (CISOs) to ensure protection against the drastic change supporting the digital transformation (DX) and cloud computing initiatives. Technological advancements are providing new opportunities for collaboration between IT and business. As businesses start to grow after the pandemic it is up to the CISOs to make sure that a strong business foundation is built for the markets and companies to sail across these shifts.
Most of the businesses are shifting towards digitalization and this, in turn, created a demand for cloud adoption thereby raising the cloud spending by 37% to $29 billion in the first half of 2020. And these technological shifts are going to stay in the market expanding new opportunities. But as work becomes more decentralized there also increases the diligence to maintain cyber hygiene by monitoring the threats since organizations are reporting a 47% increase in cyberattacks.
The increase in cloud services demands a cybersecurity-filled culture that can be beneficial in terms of taking care of the risks. This is why most of the CISOs are moving towards a business focus to ensure the execution of new digital initiatives. The new normal has paved a way for a digital transformation CISO who will be responsible for driving cybersecurity by integrating into DX initiatives in all aspects of IT technology especially when coming to public cloud computing.
There is a need for CISOs to work continuously along with the LoB leaders to align business processes to cloud computing, explaining and identifying the shadow IT applications. And because of the high demand most of the companies have hired and are planning to hire a CISO with greater cloud computing skills and another 53% have employed or are planning to hire a business information security officer (BISO) to work with LoB managers ensuring the safe business processes.
The CISOs are responsible for selecting, deploying, and operating the necessary security controls that can enable the business while noting the cyber risks. The main challenge here is to enable an integrated and cohesive security strategy across the technology portfolio. These executives need to rationalize and transform the cloud ecosystems into an integrated and scalable security stack at the same time meeting divergent business requirements. And this requires a high-performance data pipeline for stream and batch data processing, API integration between tools, and process automation for immediate incident response and risk mitigation. Businesses need to inculcate a culture of security first to find the right balance between enabling the use of cloud services and safeguarding sensitive transactions and data.
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New Roles and Opportunities for CISOs - Analytics Insight