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Machine Learning Operations Market Is Expected to Witness with Strong Growth rate in the forecast period – Benzinga

September 15, 2023 | Author: admin

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The latest research study released by Market Research Inc on Machine Learning Operations Market Forecast to 2023-2031 research provides accurate economic, global, and country-level predictions and analyses. It provides a comprehensive perspective of the competitive market as well as an in-depth supply chain analysis to assist businesses in identifying major changes in industry practices. The market report also examines the current state of the Machine Learning Operations industry, as well as predicted future growth, technological advancements, investment prospects, market economics, and financial data.

This study does a thorough examination of the market and offers insights based on an industry SWOT analysis. The report on the Machine Learning Operations Market provides access to critical information such as market growth drivers, market growth restraints, current market trends, the markets economic and financial structure, and other key market details.

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Furthermore, The report provides a detailed understanding of the market segments which have been formed by combining different prospects such as types, applications, and regions. Apart from this, the key driving factors, restraints, potential growth opportunities, and market challenges are also discussed in the report.

Major Players from the Global Machine Learning Operations Market:

Porters five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global Machine Learning Operations market over the period of 2023 to 2031. Further, the growth matrix given in the report brings an insight into the investment areas that existing or new market players can consider.

Machine Learning Operations Market Segment Analysis:

The Machine Learning Operations Market Forecast report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market. The Machine Learning Operations market segments and market data breakdown are illuminated.

Machine Learning Operations Market, By Type:

Machine Learning Operations Market, By Application:

Machine Learning Operations Market Regional Analysis:

The research study covers North America, Latin America, Asia-Pacific, Europe, Middle East and Africa on the basis of productivity, thus focusing on the leading countries from the global regions. The report further highlights the cost structure including cost of raw material and cost of manpower. It offers cogent analysis of business stimulants of the Machine Learning Operations market

Years Considered for the Machine Learning Operations Market:

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Machine Learning Operations Market Is Expected to Witness with Strong Growth rate in the forecast period - Benzinga

How machine learning safeguards organizations from modern cyber … – BetaNews

September 15, 2023 | Author: admin

2024 is fast approaching, and it seems likely that the new year heralds the same torrent of sophisticated malware, phishing, and ransomware attacks as 2023. Not only are these long-standing threats showing few signs of slowing down, but they're increasing by as much as 40 percent, with federal agencies and public sector services being the main targets.

Meanwhile, weak points like IoT and cloud vulnerabilities are making it tougher for cybersecurity pros to secure the wide attack surface that these edge devices create.

AI/ML, however, has emerged as the perfect solution for organizations, as it promises to change the way that cybersecurity professionals create their plans of action to tackle threats. Arguably more important is the fact that AI/ML-powered cybersecurity can leverage huge volumes of data to spot suspicious activity in real-time, resulting in no downtime and more effective defensive strategies.

In this article, we'll take a look at a few real-world examples of AI and ML-powered cybersecurity and some insights into the roles that artificial intelligence and machine learning may play in bolstering protection against malicious actors.

It's taken longer than some would have preferred, but cybersecurity leaders are slowly realizing that evolving cyber threats and risks demand an equally sophisticated solution. AI/ML-powered cybersecurity in particular hopes to mitigate the number of data breaches businesses must contend with, preventing serious consequences and shielding sensitive corporate and customer data, as well as digital assets.

At its core, an AI/ML-powered approach to cybersecurity utilizes a high number of datasets, algorithms and models to make it easier for security pros to prevent catastrophes before they occur. Keeping watch for threats that may compromise an endpoint requires a level of vigilance impossible for a team of human beings to achieve. But algorithms can -- AI/ML-powered solutions can keep constant watch over an organization's networks and systems with pattern recognition and continuous monitoring to make real-time predictions.

One of the biggest pain points thats gone untreated for a long time is the increased emergence of new attack vectors that threat actors take advantage of. New endpoints created by network-connected devices, IoT devices, and even your trusty laptop and workstation become new opportunities for cybercriminals to pounce on.

Considering that 84 percent of security professionals think cyber-attacks begin with the endpoint, it stands to reason that theyll need real-time data to monitor these endpoints. As we mentioned previously, humans observational capabilities are insufficient to keep up.

Even though AI/ML has immense benefits for cybersecurity, criminals have started using it as well. Despite its more humble beginnings as a piece of the puzzle that solves the automation of routine security tasks, AI has ironically transformed into a defense mechanism that can become a destructive weapon in the wrong hands.

Perhaps most obvious are the ways that AI and ML can improve DNS security to make it easier to identify hard-to-spot security threats. This, of course, is spearheaded by pinpointing anomalous DNS behavior with the help of Zero-Day attack detection. It helps security professionals locate atypical patterns even in the absence of unusual outbound traffic or other common indicators of compromise. Unlike humans, AI models can observe aspects of DNS traffic that would otherwise demand lots of time and resources to manually monitor.

Likewise, anomaly detection systems have emerged as the response to AI-empowered cybercriminals looking for an inconspicuous way to invade networks and compromise sensitive information. AI-driven anomaly detection systems are ideal for picking up on anomalous network patterns that demand a rapid response. Over time, organizations can also start using these systems to harness the power of AI for automating attack pattern analysis.

Security leaders and their departments are often iterating upon their vulnerability and risk management programs for the sake of gaining greater insight into their current security posture and potential threats on the horizon. With AI and ML, vulnerability and risk management can become largely automated, expediting the rate at which security teams can detect, identify, and remediate security vulnerabilities. Security teams also become better able to make data-driven decisions on how to handle potential threats since AI systems collect data from literally hundreds of thousands of devices, databases, and web pages.

The potential benefits that AI/ML-powered cybersecurity can offer organizations across multiple industries are both attractive and promising, but there are challenges that security leaders must remain cognizant of.

As previously mentioned, cybercriminals are now also using artificial intelligence algorithms and machine learning models to execute sophisticated attacks. Just as cyber professionals can train ML models with data, so too can cybercriminals feed false data to their models to dodge detection. Hackers who are savvy enough may also have certain inputs they want to train their AI systems on in order to circumvent automated defenses that organizations have put up. Security leaders should apprise key stakeholders of the necessary costs to leverage machine learning to mitigate cyber threats and combat cybercriminals using AI solutions of their own.

Arguably most important is the financial barrier that organizations must overcome to implement AI/ML technologies with their approach to cybersecurity. Small- and mid-sized organizations, in particular, may struggle to justify paying the costs that come with building and maintaining cutting-edge cybersecurity systems -- these organizations should consider the upfront cost that comes with shorter-term resource consumption and expenditure before deciding whether to invest in AI/ML-powered cybersecurity.

But its not the end of the world, in terms of monetary difficulties. According to research, the AI market is expected to reach $303 billion by 2025. Although enterprise products and services will certainly take center stage, there will also be an abundance of low-cost and scalable solutions for organizations with all types of specific needs and infrastructures.

As a final reminder, it's important to emphasize to security leaders -- and business leaders in general who want to strengthen the security posture of their organization -- that AI and ML technologies simply aren't perfect. Adopting these innovative technologies can be time-consuming and expensive, and the solutions themselves are prone to bias and errors until molded into a self-sufficient state. Therefore, its important to fastidiously monitor the way you implement AI into your larger approach to cybersecurity if you wish to mitigate the potential negative impacts and disruptions.

Now that we've explored the groundbreaking realm of AI-powered cybersecurity and its increasingly important role in defending organizations from sophisticated cyber threats, it's important that you decide which of its transformative capabilities are best suited to your organization and its goals for achieving a more robust cybersecurity posture.

Engage your security leaders and other relevant stakeholders in discussions about how AI algorithms and ML models can enable your cybersecurity systems to detect and neutralize sophisticated attacks such as malware, phishing, and ransomware. Likewise, you should also make them aware of any negative outcomes, as well as what blackhats are using in terms of attack solutions.

Image credit:Jirsak/depositphotos.com

Lee Li is a project manager and B2B copywriter with a decade of experience in the Chinese fintech startup space as a PM for TaoBao, MeitTuan, and DouYin (now TikTok).

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How machine learning safeguards organizations from modern cyber ... - BetaNews

Apple unveils its biggest iCloud storage tiers – here’s what it means for you – TechRadar

September 15, 2023 | Author: admin

Apple has just announced a significant expansion to its iCloud+ cloud storage plans in response to our continuously growing digital footprints.

For the first time ever, customers can now sign up for allowances much larger than 2TB from the get-go thanks to the launch of new 6TB and 12TB plans.

The announcement, which saw little actual screentime, was somewhat overshadowed by the reveal of Cupertinos latest hardware: the iPhone 15 family and Series 9 and Ultra 2 versions of the Apple Watch.

iCloud+ is one of the most commonly used cloud storage services of its kind, thanks to the way it neatly integrates into all of Apples hardware, including iPads and Macs. Beyond the free 5GB allowance, users can choose to expand to 50GB, 200GB, and 2TB - at a cost.

From September 18 (the same time that iOS is set to go live), iCloud+ subscribers will be able to upgrade their storage to a 6TB plan for $29.99 / 26.99 / AU$44.99 per month, or to a 12TB plan for $59.99 / 54.99 / AU$89.99 per month.

Until now, users seeking more than 2TB have needed to pay for an additional 50GB, 200GB, or 2TB at the usual set price.

Apple confirmed that the two new plans will still get access to premium features, such as Private Relay, Hide My Email, Custom Email Domains, and HomeKit Secure Video, but its unclear whether these more expensive plans will get any additional benefits. The company did not immediately respond to TechRadar Pros request for confirmation.

Given the huge emphasis on Apple's environmental work for this years devices, its decision to encourage customers to upgrade their storage seems a bit counterintuitive. Data centers are notorious for consuming large amounts of energy, water, and other resources. We asked the company to shed some light on this, too, but so far, we have not received a response.

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Apple unveils its biggest iCloud storage tiers - here's what it means for you - TechRadar

iCloud+ adds a 6TB and 12TB storage plan – TechCrunch

September 15, 2023 | Author: admin

Image Credits: Apple

Slipped at the end of its announcements for a new line of iPhones, Apple revealed two new tiers for iCloud+, its cloud storage subscription.

Now subscribers can store 6 terabytes or 12 terabytes of data with these new subscription tiers. While the average consumer wont need that much space, these plans could be useful for photographers and filmmakers, who are getting big camera upgrades on the new iPhone 15.

Catch up on all of our Apple Event 2023 coverage here.

But apparently lots of people need lots of storage, because these new iCloud storage plans got the biggest round of applause of the day.

Currently, subscribers pay $0.99 per month for 50 GB of cloud storage, $2.99 per month for 200 GB, and $9.99 per month for 2 TB. Based on the existing price structure, we can guess that the 6 TB and 12 TB subscriptions will run, at most, $30 and $60 per month, respectively. For purposes of comparison, Googles cloud storage plans for 5 TB and 10 TB of data run $24.99 per month and $49.99 per month, respectively, so theyre in the same ballpark.

iCloud+ subscribers also get existing privacy features like Hide My Email and Private Relay.

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iCloud+ adds a 6TB and 12TB storage plan - TechCrunch

Increased cloud costs pulls focus of some SMEs to on-site storage … – Blocks & Files

September 15, 2023 | Author: admin

A snapshot survey just published indicates smaller companies may well baulk at paying rapidly increasing cloud storage costs, with a number instead intending to move some of their data onto on-premises storage systems to mitigate the increases.

All the hyperscale cloud storage suppliers have announced price increases recently, and last week, IBM announced its own raft of more expensive services, taking effect from January 2024.

The research suggests that almost two-thirds (62 percent) of UK SMEs that use cloud computing services will take steps to combat their rising cost by the end of 2023.

The report, commissioned by business internet service provider Beaming, questioned the leaders of 500 UK companies employing fewer than 250 people, and found that a third (33 percent) of them planned to reduce the amount of data they stored in the cloud. In addition, a quarter (24 percent) were going to reduce the number of cloud services they used.

Although more than a quarter (27 percent) of SMEs said they initially adopted cloud to reduce computing expenditure, they now expect a 10 percent increase in the cost of cloud services this year. Several major cloud providers have introduced double-digit price increases for services used by SMEs already.

Just one in five (20 percent) of SMEs say they will absorb the extra costs, however.

In addition to reducing the amount of data stored in the cloud, and cutting the number of cloud services used, 21 percent of firms say they will downgrade some subscriptions to basic services. And a further 17 percent plan to move data or applications from the cloud to on-premise systems instead.

While the cloud has delivered many benefits to businesses, the cost of cloud has been creeping up for some time now, and that creep is starting to look unjustified to businesses dealing with wider inflationary pressures, said Sonia Blizzard, managing director at Beaming. Many SMEs, some of which rushed to the cloud to support remote working during the pandemic, are questioning the value of these services for the first time, and are now taking action to get on top of cost increases.

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Increased cloud costs pulls focus of some SMEs to on-site storage ... - Blocks & Files

File Systems in the Cloud: AWS EFS vs. Azure File Storage – ReadWrite

September 15, 2023 | Author: admin

The advent of cloud computing has significantly changed the landscape of how we store, manage, and interact with our data. Introducing file systems fully hosted in the cloud has only enhanced this shift, providing a reliable and scalable way for users to manage their digital assets.

Among the options available, Amazon Web Services (AWS) Elastic File System (EFS) and Microsofts Azure File Storage have emerged as two leading services, each providing unique features tailored to different needs. This article aims to explore these two systems, giving an in-depth comparison to help you understand their characteristics, advantages, and disadvantages and ultimately assist you in deciding which service best fits your organizations needs.

File Systems in the Cloud are data management structures that allow users to store, organize, and retrieve data in a cloud-based environment. They play a crucial role in ensuring the seamless operation of cloud services, facilitating everything from data security to scalability.

These systems have become increasingly popular due to the rapid growth of cloud computing. They offer a variety of benefits including high availability, scalability, and cost-effectiveness. Moreover, they allow users to access data from anywhere at any time, which is essential in todays highly mobile and interconnected world.

One of the primary benefits that cloud file systems lend to organizations is their scalability and flexibility. Traditional, on-premise file systems have a limit to their capacity. In contrast, cloud file systems can be easily scaled up or down depending on the needs of the business. This scalability is particularly beneficial for businesses that experience peaks and troughs in demand, allowing them to use resources more efficiently.

The second reason why cloud-based file systems are critical for modern organizations is their ability to facilitate accessibility and collaboration. With a cloud file system, users can access their files from anywhere, at any time, and on any device with an internet connection. This feature enhances the convenience and productivity of employees, as they can work on their tasks regardless of their physical location.

Data security is a top concern for any business, and cloud file systems address this concern. Cloud providers typically have robust security measures in place, including encryption, firewalls, intrusion detection systems, and regular security audits. These measures ensure that the data stored in the cloud is secure from internal and external threats.

In addition to security, cloud file systems also offer enhanced compliance. Major cloud providers are compliant with various industry regulations, such as GDPR, HIPAA, and PCI DSS. This compliance is particularly beneficial for businesses operating in regulated industries, as it saves them the time and effort to ensure compliance themselves.

Traditional, on-premise file systems require a significant upfront investment in hardware and software. On the other hand, cloud databases operate on a pay-as-you-go model, where businesses only pay for the resources they use.

This pricing model reduces the upfront investment and allows businesses to predict their costs more accurately. As the usage of resources can be monitored in real-time, businesses can adjust their usage to match their budget. Furthermore, as the provider handles the maintenance and updates of the cloud database, businesses can save on the costs associated with these tasks.

Traditional file systems deployed on-premises require a physical location for storage, resulting in a significant carbon footprint. However, cloud file systems are virtual and therefore have a much smaller environmental impact. Cloud providers often use energy-efficient technologies in their data centers, further reducing their carbon footprint. Some providers even use renewable energy sources, making their operations even more sustainable.

AWS EFS is a scalable and elastic NFS file system for Linux-based workloads. It is designed to provide massively parallel shared access to thousands of Amazon EC2 instances, enabling your applications to achieve high aggregate throughput and IOPS levels with consistent low latencies.

One of the key features of AWS EFS is its automatic scaling. This means it can instantly grow and shrink as files are added and removed, so you dont need to provision storage in advance. Additionally, EFS is designed to be highly durable and available. It automatically replicates your files across multiple Availability Zones for superior redundancy.

On the security front, AWS EFS offers multiple layers of protection for your data, including encryption at rest and in transit, IAM roles, security groups, VPC security zones, and the AWS Key Management Service. This ensures that your data is well protected against potential threats.

On the other hand, Azure File Storage is a Microsoft cloud service that provides robust and secure file shares in the cloud. Its designed for Windows Server use and is accessible via the industry standard Server Message Block (SMB) protocol.

One of the standout features of Azure File Storage is its seamless integration with on-premises deployments. This makes it an ideal choice for hybrid cloud environments, where you want to leverage the benefits of both local and cloud storage.

Like AWS EFS, Azure File Storage also provides strong data protection features, including rest and transit encryption, and integration with Azure role-based access control (RBAC). Additionally, it offers point-in-time restore capability, enabling you to easily recover files or entire shares to a previous state.

When it comes to performance, AWS EFS and Azure File Storage each present unique advantages. AWS EFS leverages the high I/O performance of SSDs, offering fast, consistent file operations. It also provides automatic bursting capabilities, which means the system can handle sudden surges in traffic without compromising performance.

On the other hand, Azure File Storage boasts a robust caching system that accelerates file access. It also offers a premium tier that utilizes SSDs for superior performance. However, unlike AWS EFS, Azure File Storage doesnt provide automatic bursting capabilities.

Scalability is another critical factor to consider when comparing AWS EFS and Azure File Storage. Here, both systems shine in their ways. AWS EFS is designed to scale automatically, adapting to growing or shrinking workloads without any intervention. This means you can easily handle large volumes of data without worrying about storage capacity.

Azure File Storage also offers excellent scalability, with the ability to scale up to 100 TB per share. However, unlike AWS EFS, it requires manual scaling, which can be a bit more complex and time-consuming.

In terms of security, both AWS EFS and Azure File Storage offer robust security measures. AWS EFS provides automatic encryption at rest and in transit, offering layered security for your data. It also supports IAM roles and security groups, allowing for granular access control.

On the other hand, Azure File Storage also provides encryption at rest and in transit. It supports Azure Active Directory integration, enabling more refined access control. Additionally, it offers advanced threat protection, which helps identify and mitigate potential risks.

Finally, lets talk about pricing. AWS EFS charges based on the amount of data stored, with no additional data transfer or request costs. It also offers a lifecycle management feature that automatically moves infrequently accessed files to a lower-cost storage class, helping to optimize costs.

Azure File Storage, in contrast, charges based on the total amount of data stored and the number of operations performed. It also offers a cool storage tier for infrequently accessed files, which comes at a lower cost. However, data retrieval from the cool storage tier incurs additional charges.

Choosing between AWS EFS and Azure File Storage ultimately depends on your specific needs and environment. If youre working with Linux-based workloads and need high levels of aggregate throughput, AWS EFS may be the better choice. On the other hand, if youre looking for a solution that integrates seamlessly with Windows Server and on-premises deployments, Azure File Storage could be more suitable.

Moreover, its also important to consider factors like security requirements, scalability needs, and budget constraints. Be sure to thoroughly evaluate each services features and pricing to make an informed decision.

As we continue to move towards a more digitized world, the demand for cloud-based file systems is expected to grow exponentially. This growth is fueled by the increasing need for reliable, scalable, and cost-effective data management solutions that can handle the massive volumes of data generated every day.

One trend to watch is the increasing integration of artificial intelligence (AI) and machine learning (ML) capabilities into cloud-based file systems. These technologies can help automate data management tasks, improve data analytics, and provide predictive insights, making it easier for organizations to extract value from their data.

Further advancements in security measures are also anticipated in response to the growing cybersecurity threats. These enhancements will likely involve more sophisticated encryption techniques and tighter access control mechanisms, providing even stronger protection for sensitive data.

Another promising development is the continued evolution of hybrid and multi-cloud strategies. As organizations look to leverage the strengths of different cloud providers, file systems that can seamlessly integrate with multiple cloud environments will become increasingly important.

Lastly, we might witness the rise of more file systems tailored for specific applications or industries. These specialized file systems could offer unique features or optimizations designed to meet the specific needs of different fields, such as healthcare, finance, or entertainment.

In conclusion, the future of cloud-based file systems appears to be full of exciting possibilities. As technology advances, AWS EFS, Azure File Storage, and other similar services are poised to offer even more powerful and flexible cloud data management solutions.

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I'm a technology writer with 20 years of experience working with leading technology brands including SAP, Imperva, CheckPoint, and NetApp. I am a three-time winner of the International Technical Communication Award. Today I lead Agile SEO, the leading marketing and content agency in the technology industry.

The Future is in the Cloud. 6 Key Reasons Why Cloud Computing Is … – Medium

September 15, 2023 | Author: admin

by Adesola Abiodun Alaba

Technology is evolving rapidly, shaping how we live, work, and interact. In todays competitive landscape, innovation and market agility often matter more than a companys size. To stay competitive, organisations must keep pace with current technological trends and innovations.

Cloud computing is one of the pivotal technologies empowering organisations of all sizes to compete on an equal playing field. With the increasing demand for remote work, online services, and data storage, it has never been more critical. For tech professionals seeking to advance their careers, understanding the importance of cloud computing to the future of technology is essential.

Below are 6 key reasons why cloud computing is critical to the advancement of technology.

One of the most significant benefits of cloud computing is its scalability and flexibility. Organisations of all sizes can scale their operations up or down based on their needs without having to invest in additional hardware or software. This flexibility is particularly important for startups and small businesses, as it allows them to start small and grow their operations as needed without significant upfront costs. Additionally, cloud computing enables organisations to quickly adapt to changes in demand, whether its a sudden surge in website traffic or the need to process large amounts of data.

Cost-efficiency is another crucial advantage of cloud computing. Traditional IT infrastructure requires significant investments in hardware, software, and maintenance. With cloud computing, organisations can access the same services and resources on a pay-as-you-go basis, which can lead to significant cost savings. In addition to this, cloud service providers manage and maintain the infrastructure, reducing the need for organisations to have in-house IT teams or invest in expensive equipment. This cost-efficiency is especially valuable to organisations in their nascent years, as it enables them to compete with larger organisations without the need for significant capital investments.

Cloud computing also enhances collaboration and accessibility. With cloud services, employees can access files and applications from anywhere with an internet connection, making remote work and teamwork more accessible and efficient. This means real-time collaboration on documents and projects can take place, which can lead to increased productivity and efficiency. In todays globalised world, where teams may be dispersed across different locations and time zones, this feature is not just advantageous but indispensable.

Artificial intelligence (AI) and machine learning (ML) are transformational technologies expected to impact every industry. However, they require vast amounts of data and computing power to train algorithms and derive insights. The cloud provides the infrastructure and tools needed to apply AI and ML effectively. With cloud-based graphics processing units, businesses can train machine learning models quickly and cost-efficiently. Cloud storage offers cheap, scalable capacity to amass the huge datasets that feed the most advanced AI. Without the cloud, few organisations would be able to adopt AI technology.

The Internet of Things (IoT) is another revolutionary technology that envisions a world where all devices and objects are interconnected via the internet. This will require a massive web of sensors, networks, and data centres to handle the enormous workloads involved. Cloud computing delivers the bandwidth, storage, and processing power to make IoT applications viable. As more appliances, vehicles, and equipment get smart sensor capabilities, they will rely on the cloud to collect, analyse, and share data securely. This is why tech giants like Amazon, Microsoft, and Google are investing heavily in cloud services optimised for IoT workloads.

In general, cloud computing removes major barriers to innovation. Before the cloud, companies had to invest in building and maintaining costly on-premise IT infrastructure just to develop and launch new products and services. Now, with cloud computing, startups and established enterprises alike can forego those upfront capital expenses and instead use highly scalable cloud platforms to experiment rapidly and deploy innovations faster. Developers can spin up test environments in minutes, iterate quickly, and reach markets ahead of competitors. The cloud even allows innovating on top of the latest technologies by providing access to cutting-edge AI, blockchain, quantum computing and more. The possibilities are innumerable. With such agility and flexibility, cloud computing promises to be a catalyst for transformative innovations across industries.

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Digital Storage Costs Me Hundreds of Dollars. Here’s How a Photo … – The Motley Fool

September 15, 2023 | Author: admin

I am a digital hoarder. I hate deleting anything. That serves me well when I need to find an email my aunt sent me a decade ago or come up with photos for someone's birthday book. But it's getting expensive, it's bad for the environment, and my laptop, tablet, and phone are all groaning under the stress of all those extra files.

The idea of accidentally deleting something I might need fills me with abject horror. I keep everything, from emails to screenshots of payments. Everything is safely tucked away, just in case.

That said, several of my friends (and likely some readers) are filled with the same level of horror at the almost 100,000 emails in my inbox and the very idea that I'd opt to pay more rather than send some things to the digital trash can. And pay more I do:

Each individual payment seems relatively small -- it wouldn't even buy me a latte in Starbucks. But if you add in the money I've spent on external hard drives and USBs, it comes to well over $100 a year. Frankly, that's money I'd rather have in my savings account. And that's before you factor in the $600 I'm about to spend on a new smartphone, purely because my current one has run out of memory.

Since I'm already hanging my dirty digital laundry out in public, I'll let you in on another secret -- and a hidden cost of all that electronic clutter. It slows my computer down and makes me less productive. On top of all those files, I currently have 20 different open windows, each with multiple tabs. Ultimately, there are better ways to manage both my browsing and my storage, which could save me time and money.

Sadly, holding on to so many files and emails hurts more than my bank balance. If I were to be the victim of cyber crime, criminals would have access to much more personal information simply because of the volume of data I store. Plus, it may be called cloud storage, but the data centers that store all those files, pictures, and videos are very real. They consume huge amounts of electricity and have massive digital footprints.

Here are three steps to decluttering your digital life.

According to an article in Oxford Academic, there are four types of digital hoarders. Understanding which category you fall into can help when it comes to hitting the delete button. Some people are accidental hoarders -- they didn't intentionally keep all those files, they just built up over time, perhaps because they weren't sure how to manage them. Others are anxious hoarders, saving information haphazardly just in case they might need it in the future. In contrast, organized hoarders have a system and store things through carefully curated filing systems. Finally, compliance hoarders keep data because they need to for work.

Start by taking a look at what you actually have, where it is stored, and what it is costing you. You may be surprised at how much data is duplicated, and how many easy wins there are.

You don't have to do it all at once, but try to set aside half an hour a week to do your digital decluttering. I have made a plan of what I'll tackle each week and blocked out the time in my diary. Setting clear steps means I'm less likely to procrastinate or push the job to another day.

Once you've got your digital storage under control, the next trick is to keep it manageable. Try unsubscribing from newsletters you rarely read and setting up different email accounts for specific purposes. Use one 'spam' address for any marketing or other sign up that's likely to fill your inbox. If you don't want to do it as you go along, plan a time each month when you'll sort through new data.

The cost of digital storage is deceptive. Not only can a couple of dollars each month add up, it also doesn't include the cost of, say, a new phone or storage devices. Nor does it account for the productivity cost of drowning in data. Purging my photos and emails is reducing both my stress and costs, which -- much as I hate to admit it -- can only be a good thing.

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Cloud Storage Market worth $144.57 billion by 2030 | Cumulative Impact of COVID-19, Russia Ukraine Conflict, a – openPR

September 15, 2023 | Author: admin

Cloud Storage Market | 360iResearch

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The Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and High Inflation is expected to have significant long-term effects on the Global Cloud Storage Market. The ongoing research considers the changes in consumer behavior, supply chain disruptions, and government interventions caused by the pandemic. Similarly, the report considers the ongoing political and economic uncertainty in Eastern Europe caused by the Russia-Ukraine Conflict and its potential implications for demand-supply balances, pressure on pricing variants, and import/export and trading. Additionally, the report addresses the impact of High Inflation on the global economy and details fiscal policies measuring and reducing its effects on demand, supply, cash flow, and currency exchange.

Market Segmentation & Coverage:

This research report categorizes the Global Cloud Storage Market in order to forecast the revenues and analyze trends in each of following sub-markets:

Based on Type, market is studied across Block Storage, File Storage, and Object Storage. The File Storage is projected to witness significant market share during forecast period.

Based on Component, market is studied across Services and Solution. The Services is further studied across Integration & Migration, Managed Services, Support & Maintenance, and Training & Consulting. The Solution is further studied across Cloud Storage Gateway, Data Archiving, Disaster Recovery & Backup, and Primary Storage. The Solution is projected to witness significant market share during forecast period.

Based on Organization Size, market is studied across Large Enterprises and Small & Medium-Sized Enterprises. The Large Enterprises is projected to witness significant market share during forecast period.

Based on Deployment Model, market is studied across Private Cloud and Public Cloud. The Public Cloud is projected to witness significant market share during forecast period.

Based on Vertical, market is studied across Banking, Financial Services, & Insurance, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Manufacturing, Media & Entertainment, and Telecommunications & IT. The Media & Entertainment is projected to witness significant market share during forecast period.

Based on Region, market is 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, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.75% in 2022, followed by Europe, Middle East & Africa.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is essential for assessing the Global Cloud Storage Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).

Market Share Analysis:

The Market Share Analysis offers an insightful look at the current state of vendors in a particular market space. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.

Key Company Profiles:

The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Cloud Storage Market, including Alibaba Group Holding Ltd., Alphabet, Inc., Amazon Web Services, Inc., Apple, Inc., AT&T Inc., Dell, Inc., DigitalOcean, LLC, Dropbox, Inc., Fujitsu Limited, Hewlett Packard Enterprise Development LP, Huawei Technologies Co Ltd., Microsoft Corporation, NetApp Inc., Oracle Corporation, Rackspace, Inc., Scality Inc., Tencent Holdings Limited, UpCloud Ltd., and VMware, Inc..

Key Topics Covered:

1. Preface2. Research Methodology3. Executive Summary4. Market Overview5. Market Insights6. Cloud Storage Market, by Type7. Cloud Storage Market, by Component8. Cloud Storage Market, by Organization Size9. Cloud Storage Market, by Deployment Model10. Cloud Storage Market, by Vertical11. Americas Cloud Storage Market12. Asia-Pacific Cloud Storage Market13. Europe, Middle East & Africa Cloud Storage Market14. Competitive Landscape15. Competitive Portfolio16. Appendix

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 analyzes penetration across mature segments of the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Market Trends: Provides comprehensive understanding of the Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and the High Inflation5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players6. 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 Cloud Storage Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Cloud Storage Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Cloud Storage Market?4. What is the competitive strategic window for opportunities in the Global Cloud Storage Market?5. What are the technology trends and regulatory frameworks in the Global Cloud Storage Market?6. What is the market share of the leading vendors in the Global Cloud Storage Market?7. What modes and strategic moves are considered suitable for entering the Global Cloud Storage Market?

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Cloud Storage Market worth $144.57 billion by 2030 | Cumulative Impact of COVID-19, Russia Ukraine Conflict, a - openPR

Multi Cloud Storage Market Quantitative and Qualitative Analysis | Global Industry Developments, and Fore – Benzinga

September 15, 2023 | Author: admin

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Market Analysis and Insights: Global Multi Cloud Storage Market

Multi Cloud Storage Market report elaborates the market size, market characteristics, and market growth of the Multi Cloud Storage industry, and breaks down according to the type, application, and consumption area of Multi Cloud Storage. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.

Major Players in Multi Cloud Storage market are:

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Multi Cloud Storage Market by Types:

Multi Cloud Storage Market by Applications:

Multi Cloud Storage Market Key Points:

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Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast :

Outline

Chapter 1 mainly defines the market scope and introduces the macro overview of the industry, with an executive summary of different market segments ((by type, application, region, etc.), including the definition, market size, and trend of each market segment.

Chapter 2 provides a qualitative analysis of the current status and future trends of the market. Industry Entry Barriers, market drivers, market challenges, emerging markets, consumer preference analysis, together with the impact of the COVID-19 outbreak will all be thoroughly explained.

Chapter 3 analyzes the current competitive situation of the market by providing data regarding the players, including their sales volume and revenue with corresponding market shares, price and gross margin. In addition, information about market concentration ratio, mergers, acquisitions, and expansion plans will also be covered.

Chapter 4 focuses on the regional market, presenting detailed data (i.e., sales volume, revenue, price, gross margin) of the most representative regions and countries in the world.

Chapter 5 provides the analysis of various market segments according to product types, covering sales volume, revenue along with market share and growth rate, plus the price analysis of each type.

Chapter 6 shows the breakdown data of different applications, including the consumption and revenue with market share and growth rate, with the aim of helping the readers to take a close-up look at the downstream market.

Chapter 7 provides a combination of quantitative and qualitative analyses of the market size and development trends in the next five years. The forecast information of the whole, as well as the breakdown market, offers the readers a chance to look into the future of the industry.

Chapter 8 is the analysis of the whole market industrial chain, covering key raw materials suppliers and price analysis, manufacturing cost structure analysis, alternative product analysis, also providing information on major distributors, downstream buyers, and the impact of COVID-19 pandemic.

Chapter 9 shares a list of the key players in the market, together with their basic information, product profiles, market performance (i.e., sales volume, price, revenue, gross margin), recent development, SWOT analysis, etc.

Chapter 10 is the conclusion of the report which helps the readers to sum up the main findings and points.

Chapter 11 introduces the market research methods and data sources.

Major Questions Addressed in the Report:

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Detailed TOC of Global Multi Cloud Storage Industry Research Report

1 Multi Cloud Storage Market - Research Scope

1.1 Study Goals

1.2 Market Definition and Scope

1.3 Key Market Segments

1.4 Study and Forecasting Years

2 Multi Cloud Storage Market - Research Methodology

2.1 Methodology

2.2 Research Data Source

2.2.1 Secondary Data

2.2.2 Primary Data

2.2.3 Market Size Estimation

2.2.4 Legal Disclaimer

3 Multi Cloud Storage Market Forces

3.1 Global Multi Cloud Storage Market Size

3.2 Top Impacting Factors (PESTEL Analysis)

3.2.1 Political Factors

3.2.2 Economic Factors

3.2.3 Social Factors

3.2.4 Technological Factors

3.2.5 Environmental Factors

3.2.6 Legal Factors

3.3 Industry Trend Analysis

3.4 Industry Trends Under COVID-19

3.4.1 Risk Assessment on COVID-19

3.4.2 Assessment of the Overall Impact of COVID-19 on the Industry

3.4.3 Pre COVID-19 and Post COVID-19 Market Scenario

3.5 Industry Risk Assessment

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4 Multi Cloud Storage Market - By Geography

4.1 Global Multi Cloud Storage Market Value and Market Share by Regions

4.1.1 Global Multi Cloud Storage Value ($) by Region (2015-2020)

4.1.2 Global Multi Cloud Storage Value Market Share by Regions (2015-2020)

4.2 Global Multi Cloud Storage Market Production and Market Share by Major Countries

4.2.1 Global Multi Cloud Storage Production by Major Countries (2015-2020)

4.2.2 Global Multi Cloud Storage Production Market Share by Major Countries (2015-2020)

4.3 Global Multi Cloud Storage Market Consumption and Market Share by Regions

4.3.1 Global Multi Cloud Storage Consumption by Regions (2015-2020)

4.3.2 Global Multi Cloud Storage Consumption Market Share by Regions (2015-2020)

5 Multi Cloud Storage Market - By Trade Statistics

5.1 Global Multi Cloud Storage Export and Import

5.2 United States Multi Cloud Storage Export and Import (2015-2020)

5.3 Europe Multi Cloud Storage Export and Import (2015-2020)

5.4 China Multi Cloud Storage Export and Import (2015-2020)

5.5 Japan Multi Cloud Storage Export and Import (2015-2020)

5.6 India Multi Cloud Storage Export and Import (2015-2020)

6 Multi Cloud Storage Market - By Type

6.1 Global Multi Cloud Storage Production and Market Share by Types (2015-2020)

6.1.1 Global Multi Cloud Storage Production by Types (2015-2020)

6.1.2 Global Multi Cloud Storage Production Market Share by Types (2015-2020)

6.2 Global Multi Cloud Storage Value and Market Share by Types (2015-2020)

6.2.1 Global Multi Cloud Storage Value by Types (2015-2020)

6.2.2 Global Multi Cloud Storage Value Market Share by Types (2015-2020)

7 Multi Cloud Storage Market - By Application

7.1 Global Multi Cloud Storage Consumption and Market Share by Applications (2015-2020)

7.1.1 Global Multi Cloud Storage Consumption by Applications (2015-2020)

7.1.2 Global Multi Cloud Storage Consumption Market Share by Applications (2015-2020)

8 North America Multi Cloud Storage Market

8.1 North America Multi Cloud Storage Market Size

8.2 United States Multi Cloud Storage Market Size

8.3 Canada Multi Cloud Storage Market Size

8.4 Mexico Multi Cloud Storage Market Size

8.5 The Influence of COVID-19 on North America Market

9 Europe Multi Cloud Storage Market Analysis

9.1 Europe Multi Cloud Storage Market Size

9.2 Germany Multi Cloud Storage Market Size

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Multi Cloud Storage Market Quantitative and Qualitative Analysis | Global Industry Developments, and Fore - Benzinga

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