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6 Poems to Inspire Sacred Contemplations of the Everyday – Tricycle

April 1, 2022 | Author: admin

The experience of reading a poem is a meditative experience in and of itself. As author John Brehm writes in The Dharma of Poetry, to enter a poem is to shift out of everyday consciousness. . . to step out of the ongoing flow of experience and look at it. A poem inspires a moment of pause in which we can engage in an imaginative activity that has no practical value.

Poet Chase Twichell reflects that the process of writing her collection The Ghost of Eden was not unlike the work required in zazen. . . it involved a concentration of mind and a letting go of thought. When we approach poetry with a meditative mind, we can practice the deep listening necessary to let language itself speak. We are invited to, as Twichell encourages her students, regard each poem as a chance to trick ourselves into a new perception, or even surprise ourselves into saying things we didnt think we knew.

In honor of National Poetry Month, weve collected a selection of poems published in Tricycle over the years that embody the deep and fruitful relationship between meditative practice and poetic inquiry.

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The PossibilityLeath Tonino, Poems of Walking and Sitting (May 31, 2020)

i dont expectany of usto knowwhat its liketo be freeof worry

all i askis that whena tree or stoneor cloudmentions the possibility

we stopwhat were doingturn our headslisten

Myoko DreamJoanne Kyger, Arriving Without a Sound (April 22, 2015)

Stop fidgeting she saysIm picking candle wax off my robesWere all sitting in the ZendoPeople of all ages introducing themselves.

Im here because I read too much I say.

August 2007

Poem #104Zen Master Ikku, translated by Sarah Messer and Kidder Smith, Incense Thrown on the Buddha (June 26, 2015)

True transmission sidesteps delusive combat.Vast kalpas of unenlightennment are made of thefeelingsself and other.Carrying self and other makes the balance poleheavy.When emptiness looks at a butterfly, the wholebody becomes light.

Word SoundPauline Oliveros, Word Sound: A Meditation (September 4, 2013)

Sound a word or a sound.Listen for a surprise.Say a word as a sound.Say a sound as a word.Say a sound until it is a word.Sound a word until it is a sound.Speak a sentence of sounds.Sing a phrase of words.Cross overs.

Imaginary Dokusan: PerfumeChase Twichell, The Ghost of Eden (Fall 2003)

Crushed lime halves in the sink, a wood matchs sweet-acrid strike. . .

I keep looking for things with a beauty thats not incidental, but have found none. Because of this, the difference between sensuality

and being fully awake in the momentis often unclear to me, for example

the suns smell of ripening even in things still immature which of the two pleasures is that?

WavesCho Oh-Hyun, Waves (Winter 2016)

Reading sutras deep into the night,I look up at the dark night sky,

Listen, all alone, to the cryof the distant sea

The 1,000 sutras, the 10,000 treatises,all just waves blown in the wind.

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6 Poems to Inspire Sacred Contemplations of the Everyday - Tricycle

Dig deep to find employees during Great Resignation – Times Union

April 1, 2022 | Author: admin

Im getting a great deal of questions regarding workforce shortages. The causes are multi-layered- from the Great Resignation to the child care crisis to the Silver Tsunami. HR professionals have been warning about impending shortages for years. What can be done to better attract, recruit and retain talent in a tight labor market?

Humans have an amazing ability to turn adversity into creativity. There are many strategies to improve the chances to attract good workers, who have multiple offers coming in. Companies should see workforce shortages as an opportunity to reinvent their hiring practices. There is visible proof that only the best companies are winning over talent.

First, employers need to stop and ask, Would I work here? What is the workforce saying about my company? What is my companys reputation from employees perspective?

Realize that job seekers talk. A recent applicant refused a companys offer after learning the best friends dad worked there and was being treated poorly. I remember a law firm that had a tough time adding attorneys because of the managing partners terrible reputation and unusually high turnover.

Yet some companies report getting lots of resumes. How? Word on the street is they are a great company to work for. One that comes to mind is a food service and retail operation- the same industry having some of the highest job vacancy rates. Applicants tell us, Ive been waiting for an opening there. Word is they treat people fairly and pay well. Employers can use the presentation they provided to banks and turn that same sell towards recruiting. In the same way a banker is convinced to invest in their company, the message can be used to convince applicants to invest in them too.

Happy employees are a business greatest marketing device. Plus, good companies make sure they pay competitive wages and benefits, sometimes above market. They also make sure their website looks and feels like life at work. If your company is promoting diversity, make sure the website reflects it. The job posts need to be intriguing and inviting. Use social and other forms of media ads.

In todays world, be sure to add remote, hybrid or onsite next to the job post title. Job seekers are looking for this! If your companys employees work remotely, the good news is geography doesnt matter. Widen your net by placing postings in nationwide sites.

The hiring process needs to be examined to streamline, improve, and shorten it. Use of Applicant Track Software (ATS) can help greatly. The system helps filter candidates, takes notes, can grade the applicants, and maps out the next steps. If the process is too lengthy, there is a pretty good chance the candidate will be gone before your organization gets around to deciding. And dont ghost candidates. Thats another reputation a business can mitigate. Make sure there is a resume receipt letter and be sure to tell each candidate when a decision has been made.

Rotate and post jobs continually. Save all the runners-up and resumes in the ATS for future consideration in your company. Build your own applicant database.

To prevent candidates ghosting you, youll need to take nothing for granted. Ask them if they are expecting any other offers. Tell them why they should stick to their decision. Stay in constant communication with the new hire while on their notice period. Ask them to contact you if anything changes. Remind them on Friday the start date is this Monday at 8 a.m.

This is the start of the hiring process, not the end. Every company needs to have a fabulous orientation program. Make the new hire feel welcomed. Take all measures to acclimate them into the company. HR people call this a bonding moment aiding retention. The new hire is evaluating you just as frequently as you are evaluating them.

Train your managers! Ive seen the hiring or front-line manager totally blow up all the good work done to securing a new hire. Then live up to your reputation. Job seekers tell me they stay because the job met expectations. The job was actually better than the job description. Everyone is treated fairly and measured consistently. They have a chance to be heard and see how they fit in.

In a tight job market, employees have lots of choices. Its always the talent that leaves, not the under performers. Those people will stick with you until you do something about them. Implementing these tips will better your chances to secure workers that others are going after. Spell out why they should choose you. Be the Employer of Choice!

Rose Miller, local HR Thought Leader and Speaker can be reached at roseumbromiller@gmail.com

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Dig deep to find employees during Great Resignation - Times Union

VMware to offer fully managed cloud storage-as-a-service – SiliconANGLE News

March 30, 2022 | Author: admin

VMware Inc. today is breaking out the technology it uses for its Cloud Disaster Recovery service and selling it as a cloud storage service.

Cloud Flex Storage is described as a scalable, elastic and cloud-native offering that is fully managed by VMware and delivered with pay-as-you-go pricing on the VMware Cloud on Amazon Web Services Inc. infrastructure. Customers can provision the storage quickly in the VMware Cloud Services Console without adding hosts and adjust their storage capacity as needed.

This is about scalability and elasticity with scaling disaggregated so you dont have to add more hosts to get more storage capacity, said Mark Chuang, head of product marketing for cloud storage and data.

The elimination of the need to add hosts is important because VMware has always sold cloud storage on a hyperconverged infrastructure model that required customers to buy additional central processing unit capacity in order to get more storage space.

The service is built on a Log-Structure Filesystem that was developed by Datrium Inc., which VMware acquired in July 2020. Its two-tier design has both an immutable layer and a caching layer based on high-performance Non-Volatile Memory Express drives with an object storage back end built on AWS S3 storage service. This enables both speed and data protection and is optimized for uses such as backup, disaster recovery, ransomware protection and data recovery, VMware said.

Currently available as a preview edition for approved customers, VMware Cloud Flex Storage supports the lifting and shifting of virtual machines without the need to rework the data layer or re-architect the storage design, a time-consuming process that is typical of cloud migrations.

Customers that use both VMwares vSAN on-premises storage services can use Cloud Flex to spread their data across all three storage platforms and manage it with the VMware vCenter console.

The company said it plans to deliver the same storage option across multiple clouds and to enable multidimensional scaling of compute, performance and storage capacity as well as adding data management and data reduction capabilities across multiple regions.

The vision is to concentrate on supporting a broad set of workloads with different performance characteristics as well as data types, Chuang said. The initial offering is limited to network filesystem data and does not support such advanced data management functions as cloning and snapshotting.

This release also doesnt support use by cloud-native containers, although that is on the roadmap, Chuang said. Customers can provision up to 400 terabytes of usable capacity per data store, with data encrypted at rest.

A key design intent is to make this a cost-effective but high-performance option, Chuang said. We believe it can be more cost-effective than vSAN storage because it can add storage capacity without needing to also add compute capacity.

Asked if that meant Cloud Flex could eventually supplant vSAN, Chuang said there are plans to so that to meet different application requirements but VMware isnt sharing any timing details at this time.Today it is supplemental to vSAN but we do envision a scenario of being able to enable diskless hosts with Flex Storage as the primary storage offering, he said.

VMware declined to say when the preview will end or additional cloud platforms supported. Pricing was also not announced.

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VMware to offer fully managed cloud storage-as-a-service - SiliconANGLE News

Cloud-based Services That Enable File Uploads in Your Website’s Forms – techPresident

March 30, 2022 | Author: admin

If you have a website for your business, you undoubtedly want people to be able to upload files through your forms. It could be an image, a PDF, or some other document. Under normal circumstances, you would have to set up a server to handle these file uploads. Fortunately, there are now cloud-based services that enable you to do this without setting up your server. Uploading files via cloud-based services comes with various benefits. It can save you time and money, and it can also be more convenient for your users. This blog post will look at some of the cloud-based services that enable file uploads in your websites forms.

Image source: https://pixabay.com/illustrations/cloud-technology-service-database-5469737/

Uploader.io is a cloud-based file uploader that enables you to add file upload functionality to your websites forms without setting up a server. It offers a free plan to receive up to 2GB of data per month. Uploadersupports various file types, including images, PDFs, and Word documents. It also offers a variety of features, such as the ability to specify uploaded file types, set maximum file sizes, and enable password protection.

There are several reasons why you might want to choose uploader.io for your websites file uploading needs:

On the downside, Uploader.io doesnt offer much storage space on its free plan. If you need more than 2GB of storage, youll have to sign up for a paid plan. Also, Uploader.io doesnt offer any customer support. So if you run into any problems, youll have to figure them out on your own.

Uploadcare is a simple and reliable cloud storage and file management servicethat makes it easy to store, share, and manage your files online. With uploadcare, you can easily store or share any files and access them anywhere with an internet connection. Plus, uploadcare offers a variety of features that make it easy to manage your files online, including robust search capabilities, user-friendly file organization tools, and a wide range of security options. Whether youre looking for an easy way to store your photos and videos online or need a secure solution for managing your business files, uploadcare has you covered.

You will never run out of reasons to choose Uploadcare:

Uploadcare has disadvantages of its own, however. First, the free plan has limitations, such as a maximum file size of 5MB per file. If you need to upload large files, youll have to sign up for a paid plan. Second, Uploadcare doesnt offer telephone customer support, but you can reach them by email or chat.

Pcloud is a cloud storage service that offers a free plan with 10GB of storage space. It supports various file types, including images, PDFs, and Word documents. Pcloud also offers a variety of features, such as the ability to specify uploaded file types, set maximum file sizes, and enable password protection.

There are several reasons why you might want to use Pcloud for your websites file uploading needs.

It also has some not-so-great features. One, it has a limited free plan. Two, paid plans are a bit on the expensive side. Additionally, you do not get telephone support with Pcloud- you can only reach them through email or chat.

Cloudinary is a cloud-based image management platform that provides capabilities for uploading, managing, and delivering images and videos. Cloudinary offers a simple yet powerful API for quickly transforming uploaded media into your desired formats, sizes, and qualities. Additionally, Cloudinary provides comprehensive security features and an intuitive administration console to help you easily manage your media assets. With Cloudinary, you can focus on developing your applicationrather than worrying about the intricate details of image management.

Cloudinary has many advantages that make it stand out from the other services. For example, it offers a very generous free plan with 2GB of cloud storage space. It also supports a wide range of image file types for your image processing needs. And finally, Cloudinary has several features that can be very useful, such as the ability to specify image file types and set maximum file sizes.

However, it also comes with a few disadvantages. For one, it doesnt offer customer support. So if you run into any problems, youll have to figure them out on your own. Additionally, Cloudinary doesnt offer much storage space on its free plan. If you need more than 2GB of storage, youll have to sign up for a paid plan.

Have you ever wished you could access all your files from any device, anywhere? Well, now theres a service that can make that happen. Sync.com is a cloud storage platform that keeps your files syncedbetween your devices. You can even share folders and files with others, making collaboration a breeze. Plus, Sync.com is secure, so you can rest assured knowing your data is safe.

There are many reasons to use Sync.com for your websites file uploading needs.

In terms of disadvantages, Sync.com doesnt offer customer support. So if you run into any problems using the service, youll have to figure them out on your own. Additionally, the free plan doesnt offer a lot of storage space. If you need more than 5GB, youll have to sign up for a paid plan.

MediaFire is worth checking out if youre looking for a great place to store your files. With tons of storage space and aneasy-to-use interface, you cant go wrong with this online service. Plus, there are no complicated setup procedures or hidden fees its as easy as can be! So if youre in the market for a reliable online storage solution, be sure to check out MediaFire. You wont be disappointed.

MediaFire comes with a very generous free plan with 10GB of storage space in terms of advantages. It also supports a wide range of file types for your file sharing needs. You may also find the wide range of features useful, such as specifying uploaded file types and setting maximum file sizes.

As for disadvantages, you may have some problems getting in touch with MediaFire customer support. So if you run into any issues using the service, youll have to figure them out on your own. Additionally, MediaFire doesnt offer a lot of storage space on its free plan. If you need more than 10GB of storage, youll have to sign up for a paid plan.

With so many options available for you, we can all agree that not all services are the same. It would be best if you had something that would offer you the most bang for your buck while also being easy to use. Here are some factors you should consider before settling on a cloud-based file upload service:

The first thing you should consider is the pricing. Many services offer a free plan, but they come with various limitations. For example, some free plans only offer 2GB of storage space. So if you need more than that, youll have to sign up for a paid plan. Check out the different pricing plans each service offers before deciding.

Next, youll want to consider how much storage space you need. Some services offer a lot of storage space on their free plans, while others only offer a few gigabytes. If you need more than whats offered on the free plan, youll have to sign up for a paid plan.

Youll also want to look into the file types supported by the service. Some services only support a handful of file types, while others support a wide range. Check out which file types are supported before making your decision.

The maximum file size is another crucial factor. Some services limit the size of files you can upload, while others dont. If you operate a website that deals with large files, youll want to make sure the service you choose doesnt have a limit on file size. However, you may need to pay more to get a service that doesnt have a limit on file size.

Data security is a priority for many businesses. When it comes to filing sharing, youll want to make sure the cloud service you choose has data encryptionand password protection. You should also check the services terms of use to see how they handle data security.

The service should be easy to use, especially if youre not tech-savvy. Look for a service thats user-friendly and has a simple interface. That way, you can easily upload and share files without any problems.

Finally, youll want to look at customer support. Some services have great customer support, while others dont. If you run into any problems using the service, youll want to make sure you can get in touch with customer support. Otherwise, you may have to figure out the problem on your own.

Image source: https://unsplash.com/photos/elHKkgom1VU

There are many reasons you might need a cloud-based file upload service. Perhaps youre looking for a way to share files with clients or colleagues. Maybe you need a place to store backups of your important data. Or maybe you want an easy way to share photos and videos with friends and family. Whatever the reason, there are many reasons to get one.

There are many reasons to get a cloud-based file upload service. It offers great convenience, a great way to share files, a great way to store backups, and a great way to save money. It would help to consider why you need a cloud-based file upload service. Once you know why you need a cloud-based file upload service, you can research the different services available. The best services include Uploader, UploadCare, Pcloud, Cloudinary, and MediaFire.

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Cloud-based Services That Enable File Uploads in Your Website's Forms - techPresident

Theft in St. Cloud and Theft at a Storage Unit in Waite Park – WJON News

March 30, 2022 | Author: admin

St. Cloud police is looking for information about a theft that happened between University Avenue and 8th Avenue South. The person the police department is trying to identify is pictured above. The following is posted on the Tri County Crimestoppers facebook page.

The St. Cloud Police Department is asking for assistance in identifying this male. He was driving a stolen 2007 Saturn Ion passenger car, grey in color, bearing MN License EYK086. He later was involved in shoplifting 2 knives and a replica CO2 pistol. If you can help, please submit a tip thru Crimestoppers or email Officer Lester with the Saint Cloud Police Department at Jeffrey.Lester@ci.stcloud.mn.us

Waite Park police is reporting stolen items from a storage unit on 10th avenue south. Alicia Mages from Tri Count Crimestoppers joined me on WJON. She says the owner of the storage unit arrive at the unit and didn't recognize the lock that was there. Mages says someone had cut off the owner's lock and replace it. Five Ion PA speakers were taken.

If you have information on any unsolved crimes in theStearns, Benton or Sherburne Countyarea please report information by calling Crimestoppers at 1-800-255-1301, online attricountycrimestoppers.organd click on submit a tip or use the P3 mobile app and submit your information that way.

If you'd like to listen to my conversation with Alicia Mages it is available below.

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Theft in St. Cloud and Theft at a Storage Unit in Waite Park - WJON News

How to clear up space on your iPhone when you’re running out of storage – The Verge

March 30, 2022 | Author: admin

Our iPhones are so much more than just phones. Sure, theyre where we store our photos, books, music, and movies, but they also have the apps we use daily for work, socializing, ordering groceries, transportation, managing finances, and even our health. Used for so many different things, its easy to quickly take up all of the phones storage which can become a nightmare.

But dont panic. If youre on the verge of running out of space, youre not doomed, and you dont necessarily need to delete every photo or upgrade your phone. Here well guide you through nine things you can do to create space, many of which are free, quick, and easy.

Check whats taking up the most of the space on your iPhone by heading to Settings, clicking on General, and tapping iPhone Storage. There, youll find a helpful breakdown of the files, media, and apps eating up your space so you can start working on deleting accordingly. At a minimum, aim to delete at least 2GB of storage, so youll have space to install more apps and take photos.

In all likelihood, youll soon find that photos and videos are gobbling up a good chunk of your space. If you dont want to delete these forever, back up your photos and videos to a cloud storage service, like Apples iCloud (you can learn exactly how to do that here). That way, youll still have copies of your memories safely stored away before deleting them from your iPhone.

Be mindful, however, that while the first 5GB of iCloud storage is free, youll have to pay 99 cents every month for up to 50GB. There are also other, more expensive plans available if you need more space, which you can learn more about here.

After you delete the photos, you should also be aware that the Apple stores pictures you deleted in the past 30 days are in the Recently Deleted folder in your Photos app and will still be taking up space, so make sure you delete them there, too. You can do that by heading to the Albums tab and looking for Recently Deleted. Tap the Select button in the upper right corner and click on Delete All.

You can also set up your iPhone so that it saves smaller photos while storing the original, larger resolution images in iCloud, thus saving space. Under Settings, head to Photos and make sure theres a checkmark next to Optimize iPhone Storage to turn that option on.

If you dont have time to decide what to delete or back up to iCloud, and you just want a quick and easy way to start freeing up some space, head on back to Settings, tap on General, and click iPhone Storage. When youre there, click on Review Large Attachments, which is located below the color-coded bar that shows how much storage apps, photos, the system, and other settings are taking up. Here, youll see a list of photos and videos youve sent or received in messages, which you can delete by placing your thumb on one, swiping to the left, and clicking the red Delete button.

Prioritize getting rid of the first couple at the top, which will likely be videos, as those occupy the most amount of storage. In my experience, I have found that deleting these sometimes gives me just the bit more storage I need if Im on the go and dont have a lot of time to think through which apps, photos, or videos I really dont need anymore.

On the topic of text messages, click on your Messages app and delete old conversations you dont need anymore. Your iPhone can also automatically delete messages if youd like. Just head to Settings, scroll down and tap on Messages, and then click on the Keep Messages option under Message History. There, youll be able to choose whether youd like your phone to keep messages for 30 days, one year, or forever.

When you do have the time, you should definitely delete or offload apps you no longer want or use. Apple conveniently shows you the last time you used certain apps when you head to Settings, select General, and click iPhone Storage, so that can help make this process faster and easier.

If you dont want to lose data associated with the app, you can offload them instead. By doing that, your documents and data will still be available when you reinstall it. To offload, you just need to head back to Settings, click on General, and once again tap on iPhone Storage. Click on the app and select Offload App.

While youre at it, prevent your iPhone from running out of space in the future by heading to the App Store option under Settings and toggling on the Offload Unused Apps switch.

Back in the day, when I had an ancient 32GB iPhone and constantly ran out of storage, I had no choice but to delete pretty much all of my apps. It made me realize there were a few I only used because they stored certain files I needed, like Google Drive.

It dawned on me that I could instead just add links to the files I needed to my home screen, so I could access them as if they were apps instead. In fact, it was even easier and faster to access those files this way, rather than constantly opening up and digging through Google Drive for them. I started adopting this approach to other apps, too, adding links to news sites instead of using news apps, for instance, which saved me some space.

So if theres information you can easily look up on the web or with a Google search, you may want to consider adopting this approach. Just use your Safari app to head to the site, go to the bottom of the screen and click on the square icon with an arrow inside, then click on the Add to Home Screen option located towards the bottom of the list. Tap on Add, and then you should be able to find it somewhere on your screen.

Sometimes whats taking up the most amount of storage are the data and documents stored within an app on your phone. You can find out if thats the case by once again heading to Settings > General > iPhone Storage and then clicking on an app. A page will appear that tells you how much space is taken up by both Documents & Data and the App Size itself. Thats information you can use to, say, delete ebooks youve finished reading, close tabs in your browser, or remove specific podcast episodes you no longer need, as opposed to getting rid of the entire app itself.

Deleting apps, photos, and videos will free up a good chunk of your storage, but clearing your web browser cache can also give you a bit more space if youre in a crunch. Just note you will be signed be out of websites if you go down this route.

If youre a Safari user, head over to Settings > Safari > Clear History and Website Data clear your cache.

There are a few more steps involved if you use Google Chrome. First, open up the browser and click on the three dots at the bottom. Tap on History > Clear Browsing Data, where youll see a list of what you can clear. Youll be able to select options that will let you delete browsing history, cached images and files, cookies and site data, saved passwords, and autofill data or you can delete everything. You can also delete your browsing history from the last hour, the last 24 hours, a week, the last four weeks, or from all time by clicking the appropriate option under Time Range. After youve made your selections, click Clear Browsing Data at the bottom.

I rarely ever use Snapchat I only use it as a second camera and private storage space. I downloaded it once while traveling because I was just about to run out of local space to take pictures. Thankfully, despite the fact my iPhone storage was technically full, I was able to use Snapchat to take and store both videos and photos since the app saves its Memories in the cloud. So if youre on the go, this could be a good hack if you need to take pictures and dont have the time to clear up space.

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How to clear up space on your iPhone when you're running out of storage - The Verge

Personal Cloud Market worth $50.8 billion by 2027 – Exclusive Research by MarketsandMarkets – PR Newswire

March 30, 2022 | Author: admin

CHICAGO , March 25, 2022 /PRNewswire/ -- According to a research report Personal Cloud Market with COVID-19 Impact, By Revenue Type, User Type (Enterprises (SMEs and Large Enterprises) and Consumers), and Region (North America, Europe, Asia Pacific, Middle East & Africa and Latin America) - Global Forecast to 2027", published by MarketsandMarkets, the global Personal Cloud Market is projected to grow from USD 20.8 billion in 2022 to USD 50.8 billion by 2027 at a compound annual growth rate (CAGR) of 19.6% during the forecast period.

A personal cloud is a repository of digital content and services that can be accessed from any device. Personal cloud is a non-physical entity. It is a location where users can store, synchronize, stream, and share content while moving from one platform, screen, and location to another. It was built on connected services and applications. It reflects and sets consumer expectations for how next-generation computing services will function. The online cloud is also known as the public cloud.

Browse in-depth TOC on"Personal Cloud Market"

306 Tables 57 Figures 236 Pages

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=821

The Consumer segment is estimated to have the largest market size during the forecast period

Since the introduction of the internet, the computer industry has been shifting away from local to server-based storage. However, it was only with the introduction of personal storage and file-sharing services that cloud storage began to achieve popular notice and use. The drive toward the personal cloud is to complete utilization of the storage of computer or mobile as consumers can put media and documents in an online drive and share it across devices.

The SMEs is expected to hold a higher growth rate during the forecast period

Personal cloud is undoubtedly one of the most profitable investments a small firm can make. Due to its cost-effectiveness and flexibility of use, online storage solutions for small businesses have exploded in popularity in recent years. These cloud-based storage systems are scalable and dont require a large upfront investment in physical storage equipment. Other benefits of using Cloud storage solutions include disaster recovery, increased security, and real-time data updates. Some of the key players for SMEs are Spideroak, Just Cloud, which supports third-party apps to run smoothly and efficiently. Cloud storage for SMEs has some features, such as workflow management, data management, and user management. Small business storage and backup options provide 100% data security and privacy, as well as complete customer control.

Speak to Research Expert: https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=821

North America to dominate the Personal Cloud Market in 2022

Personal cloud storage, mobile cloud storage, and pocket cloud storage are all terms used in the North American Personal Cloud Market. Personal cloud can take on different meanings depending on how it is implemented, such as when it acts as a storage appliance that can be retrieved wirelessly or via the internet. Because of the growth in multi-cultural organizations that are required to work over similar platforms without compromising on the quality of work across different geographical locations, the US market accounted for the largest share of the North American Personal Cloud Market.

Market Players:

Some of the major players in the Personal Cloud Market are Alphabet Inc, (US), Microsoft Corporation (US), Apple Inc. (US), Dropbox, Inc. (US), Amazon Web Services, Inc. (US), Box (US), Seagate Technology LLC (US), Western Digital Corporation (US), Synchronoss Technologies, Inc. (US), Egnyte, Inc. (US), Buffalo Inc. and Melco Holdings Inc. (Japan), Funambol, Inc. (US), j2 Global, Inc. (US), D-Link Corporation (Taiwan), ElephantDrive Inc. (US), ownCloud (Germany), Cloudike (US), SpiderOak Inc. (US), pCloud AG (Switzerland), Tresorit, and ASUS Cloud Corporation (Switzerland), Internxt Inc. (Spain), IceDrive, Sync.com (Canada), iDrive Inc. (US), MiMedia Inc. (US), Dracoon (Germany), and OpenDrive Inc. (US).

Browse Adjacent Reports: Cloud ComputingMarket ResearchReports & Consulting

Related Reports:

Cloud ComputingMarket by Service Model (Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)), Deployment Model (Public and Private), Organization Size, Vertical, and Region - Global Forecast to 2026

Cloud StorageMarket by Component (Solutions and Services), Application (Primary Storage, Backup and Disaster Recovery, and Archiving), Deployment Type (Public Cloud and Private Cloud), Organization Size, Vertical, and Region - Global Forecast to 2025

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Six Steps to Responsible AI in the Federal Government – Brookings Institution

March 30, 2022 | Author: admin

There is widespread agreement that responsible artificial intelligence requires principles such as fairness, transparency, privacy, human safety, and explainability. Nearly all ethicists and tech policy advocates stress these factors and push for algorithms that are fair, transparent, safe, and understandable.1

But it is not always clear how to operationalize these broad principles or how to handle situations where there are conflicts between competing goals.2 It is not easy to move from the abstract to the concrete in developing algorithms and sometimes a focus on one goal comes at the detriment of alternative objectives.3

In the criminal justice area, for example, Richard Berk and colleagues argue that there are many kinds of fairness and it is impossible to maximize accuracy and fairness at the same time, and impossible simultaneously to satisfy all kinds of fairness.4 While sobering, that assessment likely is on the mark and therefore must be part of our thinking on ways to resolve these tensions.

Algorithms also can be problematic because they are sensitive to small data shifts. Ke Yang and colleagues note this reality and say designers need to be careful in system development. Worrying, they point out that small changes in the input data or in the ranking methodology may lead to drastic changes in the output, making the result uninformative and easy to manipulate.5

Algorithms also can be problematic because they are sensitive to small data shifts.

In addition, it is hard to improve transparency with digital tools that are inherently complex. Even though the European Union has sought to promote AI transparency, researchers have found limited gains in consumer understanding of algorithms or the factors that guide AI decisionmaking. Even as AI becomes ubiquitous, it remains an indecipherable black box for most individuals.6

In this paper, I discuss ways to operationalize responsible AI in the federal government. I argue there are six steps to responsible implementation:

There need to be codes of conduct that outline major ethical standards, values, and principles. Some principles cut across federal agencies and are common to each one. This includes ideas such as protecting fairness, transparency, privacy, and human safety. Regardless of what a government agency does, it needs to assure that its algorithms are unbiased, transparent, safe, and capable of maintaining the confidentiality of personal records.7

But other parts of codes need to be tailored to particular agency missions and activities. In the domestic area, for example, agencies that work on education and health care must be especially sensitive to the confidentiality of records. There are existing laws and rights that must be upheld and algorithms cannot violate current privacy standards or analyze information in ways that generate unfair or intrusive results.8

In the defense area, agencies have to consider questions related to the conduct of war, how automated technologies are deployed in the field, ways to integrate intelligence analytics into mission performance, and mechanisms for keeping humans in the decisionmaking loop. With facial recognition software, remote sensors, and autonomous weapons systems, there have to be guardrails regarding acceptable versus unacceptable uses.

As an illustration of how this can happen, many countries came together in the 20th century and negotiated agreements outlawing the use of chemical and biological weapons, and the first use of nuclear weapons. There were treaties and agreements that mandated third-party inspections and transparency regarding the number and type of weapons. Even at a time when weapons of mass destruction were pointed at enemies, adversarial countries talked to one another, worked out agreements, and negotiated differences for the safety of humanity.

As the globe moves towards greater and more sophisticated technological innovation, both domestically and in terms of military and national security, leaders must undertake talks that enshrine core principles and develop conduct codes that put those principles into concrete language. Failure to do this risks using AI in ways that are unfair, dangerous, or not very transparent.9

Some municipalities already have enacted procedural safeguards regarding surveillance technologies. Seattle, for example, has enacted a surveillance ordinance that establishes parameters for acceptable uses and mechanisms for the public to report abuses and offer feedback. The law defines relevant technologies that fall under the scope of the law but also illustrates possible pitfalls. In such legislation, it is necessary to define what tools rely upon algorithms and/or machine learning and how to distinguish such technologies from conventional software that analyzes data and acts on that analysis.10 Conduct codes wont be very helpful unless they clearly delineate the scope of their coverage.

Employees need appropriate operational tools that help them safely design and deploy algorithms. Previously, developing an AI application required detailed understanding of technical operations and advanced coding. With high-level applications, there might be more than a million lines of code to instruct processors on how to perform certain tasks. Through these elaborate software packages, it is difficult to track broad principles and how particular programming decisions might create unanticipated consequences.

Employees need appropriate operational tools that help them safely design and deploy algorithms.

But now there are AI templates that bring sophisticated capabilities to people who arent engineers or computer scientists. The advantage of templates is they increase the scope and breadth of applications in a variety of different areas and enable officials without strong technical backgrounds to use AI and robotic process automation in federal agencies.

At the same time, though, it is vital that templates be designed in ways where their operational deployment promotes ethics and fights bias. Ethicists, social scientists, and lawyers need to be integrated into product design so that laypeople have confidence in the use of these tools. There cannot be questions about how these packages operate or on what basis they make decisions. Agency officials have to feel confident that algorithms will make decisions impartially and safely.

Right now, it sometimes is difficult for agency officials to figure out how to assess risk or build emerging technologies into their missions.11 They want to innovate and understand they need to expedite the use of technology in the public sector. But they are not certain whether to develop products in-house or rely on proprietary or open-source software from the commercial market.

One way to deal with this issue is to have procurement systems that help government officials choose products and design systems that work for them. If the deployment is relatively straightforward and resembles processes common in the private sector, commercial products may be perfectly viable as a digital solution. But if there are complexities in terms of mission or design, there may need to be proprietary software designed for that particular mission. In either circumstance, government officials need a procurement process that meets their needs and helps them choose products that work for them.

We also need to keep humans in some types of AI decisionmaking loops so that human oversight can overcome possible deficiencies of automated software. Carnegie Mellon University Professor Maria De-Arteaga and her colleagues suggest that machines can reach false or dangerous conclusions and human review is essential for responsible AI.12

However, University of Michigan Professor Ben Green argues that it is not clear that humans are very effective at overseeing algorithms. Such an approach requires technical expertise that most people lack. Instead, he says there needs to be more research on whether humans are capable of overcoming human-based biases, inconsistencies, and imperfections.13 Unless humans get better at overcoming their own conscious and unconscious biases, manual oversight runs the risk of making bias problems worse.

In addition, operational tools must be human-centered and fit the agency mission. Algorithms that do not align with how government officials function are likely to fail and not achieve their objectives. In the health care area, for example, clinical decisionmaking software that does not fit well with how doctors manage their activities are generally not successful. Research by Qian Yang and her colleagues documents how user-centered design is important for helping physicians use data-driven tools and integrating AI into their decisionmaking.14

Finally, the community and organizational context matter. As argued by Michael Katell and colleagues, some of the most meaningful responsible AI safeguards are based not on technical criteria but on organizational and mission-related factors.15 The operationalization of AI principles needs to be tailored to particular areas in ways that advance agency mission. Algorithms that are not compatible with major goals and key activities are not likely to work well.

To have responsible AI, we need clear evaluation benchmarks and metrics. Both agency and third-party organizations require a means of determining whether algorithms are serving agency missions and delivering outcomes that meet conduct codes.

One virtue of digital systems is they generate a large amount of data that can be analyzed in real-time and used to assess performance. They enable benchmarks that allow agency officials to track performance and assure algorithms are delivering on stated objectives and making decisions in fair and unbiased ways.

To be effective, performance benchmarks should distinguish between substantive and procedural fairness. The former refers to equity in outcomes, while the latter involves the fairness of the process, and many researchers argue that both are essential to fairness. Work by Nina Grgic-Hlaca and colleagues, for example, suggests that procedural fairness needs to consider the input features used in the decision process, and evaluate the moral judgments of humans regarding the use of these features. They use a survey to validate their conclusions and find that procedural fairness may be achieved with little cost to outcome fairness.16

Joshua New and Daniel Castro of the Center for Data Innovation suggest that error analysis can lead to better AI outcomes. They call for three kinds of analysis (manual review, variance analysis, and bias analysis). Comparing actual and planned behavior is important as is identifying cases where systematic errors occur.17 Building those types of assessments into agency benchmarking would help guarantee safe and fair AI.

A way to assure useful benchmarking is through open architecture that enables data sharing and open application programming interfaces (API). Open source software helps others keep track of how AI is performing and data sharing enables third-party organizations to assess performance. APIs are crucial to data exchange because they help with data sharing and integrating information from a variety of different sources. AI often has impact in many areas so it is vital to compile and analyze data from several domains so that its full impact can be evaluated.

Technical standards represent a way for skilled professionals to agree on common specifications that guide product development. Rather than having each organization develop its own technology safeguards, which could lead to idiosyncratic or inconsistent designs, there can be common solutions to well-known problems of safety and privacy protection. Once academic and industry experts agree on technical standards, it becomes easy to design products around those standards and safeguard common values.

An area that would benefit from having technical standards is fairness and equity. One of the complications of many AI algorithms is the difficulty of measuring fairness. As an illustration, fair housing laws prohibit financial officials from making loan decisions based on race, gender, and marital status in their assessments.

One of the complications of many AI algorithms is the difficulty of measuring fairness.

Yet AI designers either inadvertently or intentionally can find proxies that approximate these characteristics and therefore allow the incorporation of information about protected categories without the explicit use of demographic background.18

AI experts need technical standards that guard against unfair outcomes and proxy factors that allow back-door consideration of protected characteristics. It does not help to have AI applications that indirectly enable discrimination by identifying qualities associated with race or gender and incorporating them in algorithmic decisions. Making sure this does not happen should be a high priority for system designers.

Pilot projects and organizational sandboxes represent ways for agency personnel to experiment with AI deployments without great risk or subjecting large numbers of people to possible harm. Small scale projects that can be scaled up when preliminary tests go well protect AI designers from catastrophic failures while still offering opportunities to deploy the latest algorithms.

Federal agencies typically go through several review stages before launching pilot projects. According to Dillon Reisman and colleagues at AI Now, there are pre-acquisition reviews, initial agency disclosures, comment periods, and due process challenges periods. Throughout these reviews, there should be regular public notices so vendors know the status of the project. In addition, there should be careful attention to due process and disparate analysis impact.

As part of experimentation, there needs to be rigorous assessment. Reisman recommends opportunities for researchers and auditors to review systems once they are deployed.19 By building assessment into design and deployment, it maximizes the chance to mitigate harms before they reach a wide scale.

The key to successful AI operationalization is a well-trained workforce where people have a mix of technical and nontechnical skills. AI impact can range so broadly that agencies require lawyers, social scientists, policy experts, ethicists, and system designers in order to assess all its ramifications. No single type of expertise will be sufficient for the operationalization of responsible AI.

For that reason, agency executives need to provide funded options for professional development so that employees gain the skills required for emerging technologies.20 As noted in my previous work, there are professional development opportunities through four-year colleges and universities, community colleges, private sector training, certificate programs, and online courses, and each plays a valuable role in workforce development.21

Federal agencies should take these responsibilities seriously because it will be hard for them to innovate and advance unless they have a workforce whose training is commensurate with technology innovation and agency mission. Employees have to stay abreast of important developments and learn how to implement technological applications in their particular divisions.

Technology is an area where breadth of expertise is as important as depth. We are used to allowing technical people to make most of the major decisions in regard to computer software. Yet with AI, it is important to have access to a diverse set of skills, including those of a non-technical nature. A Data and Society article recommended that it is crucial to invite a broad and diverse range of participants into a consensus-based process for arranging its constitutive components. 22 Without access to individuals with societal and ethical expertise, it will be impossible to implement responsible AI.

Thanks to James Seddon for his outstanding research assistance on this project.

The Brookings Institution is a nonprofit organization devoted to independent research and policy solutions. Its mission is to conduct high-quality, independent research and, based on that research, to provide innovative, practical recommendations for policymakers and the public. The conclusions and recommendations of any Brookings publication are solely those of its author(s), and do not reflect the views of the Institution, its management, or its other scholars.

Microsoft provides support to The Brookings InstitutionsArtificial Intelligence and Emerging Technology (AIET) Initiative. The findings, interpretations, and conclusions in this report are not influenced by any donation. Brookings recognizes that the value it provides is in its absolute commitment to quality, independence, and impact. Activities supported by its donors reflect this commitment.

Companies In The Artificial Intelligence In Healthcare Market Are Introducing AI-Powered Surgical Robots To Improve Precision As Per The Business…

March 30, 2022 | Author: admin

LONDON, March 30, 2022 (GLOBE NEWSWIRE) -- According to The Business Research Companys research report on the artificial intelligence in healthcare market, AI-driven surgical robots are gaining prominence among the artificial intelligence in healthcare market trends. Various healthcare fields have adopted robotic surgery in recent times. Robot-assisted surgeries are performed to remove limitations during minimally invasive surgical procedures and to improve surgeons' capabilities during open surgeries. AI is widely being applied in surgical robots and is also used with machine vision to analyze scans and detect complex cases. While performing surgeries in delicate areas of the human body, robotic surgeries are more effective than manually performed surgeries. To meet healthcare needs, many technology companies are providing innovative robotic solutions.

For example, in 2020, Accuracy Incorporated, a US-based company that develops, manufactures, and sells radiotherapy systems for alternative cancer treatments, launched a device called the CyberKnife S7 System, which combines speed, advanced precision, and AI-driven motion tracking for stereotactic radiosurgery and stereotactic body radiation therapy treatment.

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The global artificial intelligence in healthcare market size is expected to grow from $8.19 billion in 2021 to $10.11 billion in 2022 at a compound annual growth rate (CAGR) of 23.46%. The global AI in healthcare market size is expected to grow to $49.10 billion in 2026 at a CAGR of 48.44%.

The increase in the adoption of precision medicine is one of the driving factors of artificial intelligence in the healthcare market. Precision medicine uses information about an individual's genes, environmental and lifestyle changes to design and improve the diagnosis andtherapeutics of the patient. It is widely used for oncology cases, and due to the rising prevalence of cancer and the number of people affected by it, the demand for AI in precision medicine will increase. According to research published in the Lancet Oncology, the global cancer burden is set to increase by 75% by 2030.

Major players in the artificial intelligence in healthcare market are Intel Corporation, Nvidia Corporation, IBM Corporation, Microsoft Corporation, Google Inc., Welltok Inc., General Vision Inc., General Electric Company, Siemens Healthcare Private Limited, Medtronic, Koninklijke Philips N.V., Micron Technology Inc., Johnson & Johnson Services Inc., Next IT Corporation, and Amazon Web Services.

The global artificial intelligence in healthcare market is segmented by offering into hardware, software; by algorithm into deep learning, querying method, natural language processing, context aware processing; by application into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis; by end-user into hospitals and diagnostic centers, pharmaceutical and biopharmaceutical companies, healthcare payers, patients.

As per the artificial intelligence in healthcare industry growth analysis, North America was the largest region in the market in 2021. Asia-Pacific is expected to be the fastest-growing region in the global artificial intelligence in healthcare market during the forecast period. The regions covered in the global artificial intelligence in healthcare market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

Artificial Intelligence In Healthcare Market Global Market Report 2022 Market Size, Trends, And Global Forecast 2022-2026 is one of a series of new reports from The Business Research Company that provide artificial intelligence in healthcare market overviews, analyze and forecast market size and growth for the whole market,artificial intelligence in healthcare market segments and geographies, artificial intelligence in healthcare market trends, artificial intelligence in healthcare market drivers, artificial intelligence in healthcare market restraints,artificial intelligence in healthcare market leading competitors revenues, profiles and market shares in over 1,000 industry reports, covering over 2,500 market segments and 60 geographies.

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Companies In The Artificial Intelligence In Healthcare Market Are Introducing AI-Powered Surgical Robots To Improve Precision As Per The Business...

Artificial Intelligence in Cybersecurity Market Worth $66.22 billion by 2029 — Exclusive Report by Meticulous Research – PR Newswire

March 30, 2022 | Author: admin

REDDING, Calif., March 29, 2022 /PRNewswire/ -- According to a new market research report titled, "Artificial Intelligence in Cybersecurity Marketby Technology (ML, NLP), Security (Endpoint, Cloud, Network), Application (DLP, UTM, IAM, Antivirus, IDP), Industry (Retail, Government, BFSI, IT, Healthcare), and Geography Global Forecasts to 2029,"the artificial intelligence in cybersecurity market is expected to grow at a CAGR of 24.2% during the forecast period to reach $66.22 billion by 2029.

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The increasing demand for advanced cybersecurity solutions and privacy, the growing significance of AI-based cybersecurity solutions in the banking sector, and the rising frequency and complexity of cyber threats are the key factors driving the growth of the artificial intelligence in cybersecurity market. In addition, the growing need for AI-based cybersecurity solutions among small and medium-sized enterprises (SMEs) are creating new growth opportunities for vendors in the AI in cybersecurity market.

However, the lack of skilled AI professionals, the perception of AI in cybersecurity as an uncomprehensive security solution, and the impacts of the COVID-19 pandemic are expected to restrain the growth of this market to a notable extent.

Impact of COVID-19 on Artificial Intelligence in CybersecurityMarket

The outbreak of the COVID-19 pandemic severely affected numerous businesses across the globe. Several organizations started adopting a work-from-home mode of operation. Reliance on remote access systems made organizations more vulnerable to DDOS and phishing attacks. The excess internet usage during the COVID-19 pandemic increased the number of data thefts, ransomware attacks, and data breaches across organizations. The COVID-19 outbreak forced medical-treatment units to utilize remote-care devices that lack proper protection against cyberattacks, thereby giving opportunities to perpetrate attacks. Thus, several organizations started focusing on advanced technologies in cybersecurity, such as artificial intelligence, machine learning, and big data, for protection against such threats.

According to HIPAA Journal, the INTERPOL issued an alert to hospitals over ongoing ransomware attacks during the COVID-19 pandemic and issued a 'Purple Notice' alerting police forces in all 194 member countries. According to Cyber Intelligence Centre, in 2020, there was a spike of phishing attacks, malspams, and ransomware attacks as attackers started using COVID-19 as bait to personate brands and mislead customers and employees. Organizations started focusing on monitoring emails and active directories for anomalous logins, reviewing tactical actions, and implementing key security controls. Many leading players started improving their cyber risk management measures strategizing accordingly by ensuring that their remote access systems were sufficiently resilient to withstand cyber threats. Artificial intelligence in cybersecurity will play a significant role in the safety and security of organizations from cyber threats. The impacts of the COVID-19 pandemic have resulted in industry verticals focusing on reducing reliance on human resources and maximizing the use of processes and advanced technologies to perform cybersecurity activities. The positive impacts will be perceptible, encouraging the growth of AI in cybersecurity market during the forecast period.

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Several organizations are eying this crisis as a new opportunity for restructuring and revisiting their existing strategies along with advanced product portfolios.For instance, in 2021, IBM Corporation (U.S.) announced new and enhanced services of IBM Security Services designed to help organizations manage their cloud security strategy, policies, and controls across hybrid cloud environments. In 2021, FireEye, Inc. introduced FireEye XDR, a unified platform designed to help security operations teams strengthen threat detection, accelerate response capabilities, and simplify investigations. These developments are showing a positivesign for the growth of cybersecurity, consequently expected to boost the demand for artificial intelligence in cybersecurity market in the coming years.

In addition, favorable government policy & initiatives, including financial packages for businesses and ease in taxes, the increasing demand for advanced cybersecurity solutions in the healthcare sector, and the increasing investments in advanced technologies are expected to contribute to the growth of artificial intelligence in cybersecurity market.

Also, the ongoing tensions between Russia and Ukraine have increased digital skirmishes. This ongoing conflict may impact global diplomacy, markets, and other aspects by escalating into cyberwarfare with significant monetary damages, as seen with the global NotPetya cyberattack and wiper virus cyberattack.

Artificial Intelligence in Cybersecurity Market Overview

The artificial intelligence in cybersecurity market is segmented based on components (hardware, software, services), technology (machine learning, natural language processing, context-aware computing), security (application security, endpoint security, cloud security, network security), application (data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, antivirus/antimalware, intrusion detection/prevention system, distributed denial of service mitigation, security information & event management, threat intelligence, fraud detection), deployment (on-premises, cloud-based), industry vertical (retail, government & defense, automotive & transportation, BFSI, manufacturing, infrastructure, IT & telecommunication, healthcare, aerospace, education, energy), and geography. The study also evaluates industry competitors and analyses the market at the country level.

Based on component, the AI in cybersecurity market is segmented into software, hardware, and services. In 2022, the software segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market. The larger share and highest CAGR of this segment is primarily driven by the growing data security concerns, the increase in demand for AI platforms solutions for security operations, and the surge in demand for robust and cost-effective security solutions among business enterprises to strengthen their cybersecurity infrastructure.

Based on technology, the overall AI in cybersecurity market is segmented into machine learning, natural language processing (NLP), and context-aware computing. In 2022, the machine learning technology segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market.The large share and highest CAGR of this segment is primarily attributed to its advanced ability to collect, process, and handle big data from different sources that offer rapid analysis and prediction. It also helps analyze user behavior and learnfrom them to help prevent attacks and respond to changing behavior. In addition, it helps find threats and respond to active attacks in real-time, reduces the amount of time spent on routine tasks, and enables organizations to use their resources more strategically, further supporting the growth of the machine learning technology market in the coming years.

Based on security, the AI in cybersecurity market is segmented into network security, cloud security, endpoint security, and application security. In 2022, the network security segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market.The large share of this segment is mainly attributed to the adoption of the Bring Your Own Device (BYOD) trend, the increasing number of APTs, malware, and phishing attacks, the increasing need for secure data transmission, the growing demand for network security solutions, and rising privacy concerns. However, the cloud security segment is slated to register the highest CAGR during the forecast period due to the increased adoption of Internet of Things (IoT) devices, surge in the deployment of cloud solutions, the emergence of remote work and collaboration, and the increasing demand for robust and cost-effective security services.

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Based on application, this market is segmented into data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, intrusion detection/prevention system, antivirus/antimalware, distributed denial of service (DDoS) mitigation, Security Information and event management (SIEM), threat intelligence, and fraud detection. In 2022, the identity and access management segment is estimated to account for the largest share of the artificial intelligence in cybersecurity market. The large share of this segment is attributed to the increase in security concerns among organizations, the increasing number and complexity of cyber-attacks, the growing need for integrity & safety of confidential information in industry verticals, and the growing emphasis on compliance management. However, the data loss prevention segment is slated to register the highest CAGR during the forecast period due to the increasing regulatory and compliance requirements and the growing need to address data-related threats, including the risks of accidental data loss and exposure of sensitive data in organizations.

Based on industry vertical, the AI in cybersecurity market is segmented into government & defense, retail, manufacturing, banking, financial services, and insurance (BFSI), automotive & transportation, healthcare, IT & telecommunication, aerospace, education, and energy. In 2022, the IT & telecommunication sector is estimated to account for the largest share of the overall AI in cybersecurity market. The large share of this segment is mainly attributed to increasing incidence of security breaches by cybercriminal, shifting preference from traditional business models to sophisticated technologies, and including IoT devices, 5G, and cloud computing.However, the healthcare sector is slated to register the highest CAGR during the forecast period due to the rising sophistication levels of cyber-attacks, the growing incorporation of advanced cybersecurity solutions, the exponential rise in healthcare data breaches, and the growing adoption of IoT & connected devices across the healthcare sector.

Based on deployment, the market is segmented into on-premises and cloud-based. In 2022, the on-premises segment is estimated to account for the largest share of the artificial intelligence in cybersecurity market. The large share of this segment is attributed to the increasing necessity for enhancing the internal processes & systems, security issues related to cloud-based deployments, and the rising demand for advanced security application software among industry verticals. However, the cloud-based segment is slated to register the highest CAGR during the forecast period due to the increasing number of large enterprises using cloud platforms for data repositories and the growing demand to reduce the capital investment required to implement cybersecurity solutions. In addition, several organizations are moving operations to the cloud, leading cybersecurity vendors to develop cloud-based solutions.

Based on geography, in 2022, North America is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market. The large market share of North America is attributed to the presence of major players along with several emerging startups in the region, the increase in government initiatives towards advanced technologies, such as artificial intelligence, the proliferation of cloud-based solutions, the increasing sophistication in cyber-attacks, and the emergence of disruptive digital technologies. However, Asia-Pacific is expected to register the highest CAGR during the forecast period. Factors such as the rising number of connected devices, the increasing privacy & security concerns, the growing awareness regarding cybersecurity among organizations, rapid economic development, high adoption of advanced technologies, such as IoT, 5G technology, and cloud computing are contributing to the growth of this market in Asia-Pacific.

The global artificial intelligence in cybersecurity market is fragmented in nature. The major players operating in this market are Amazon Web Services, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), FireEye, Inc. (U.S.), Palo Alto Networks, Inc. (U.S.), Juniper Networks, Inc. (U.S.), Fortinet, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Micron Technology, Inc. (U.S.), Check Point Software Technologies Ltd. (U.S.), Imperva (U.S.), McAfee LLC (U.S.), LogRhythm, Inc. (U.S.), Sophos Ltd. (U.S.), NortonLifeLock Inc. (U.S.), and Crowdstrike Holdings, Inc. (U.S.)among others.

Browse in-depth TOC on"Artificial Intelligence In Cybersecurity Market - Global Opportunity Analysis And Industry Forecast (2022-2029)"380 Tables43 Figures441 Pagesclick here:https://www.meticulousresearch.com/product/artificial-intelligence-in-cybersecurity-market-5101

Scope of the Report:

AI in Cybersecurity Market by Component

AI in Cybersecurity Market by Technology

AI in Cybersecurity Market by Security Type

AI in Cybersecurity Market by Application

AI in Cybersecurity Market by Deployment Type

AI in Cybersecurity Market by Industry Vertical

AI in Cybersecurity Market by Geography:

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Healthcare Artificial Intelligence Market by Product and Services (Software, Services), Technology (Machine Learning, NLP), Application (Medical Imaging, Precision Medicine, Patient Management), End User (Hospitals, Patients) - Global Forecast to 2027

https://www.meticulousresearch.com/product/healthcare-artificial-intelligence-market-4937

Artificial Intelligence in Manufacturing Market By Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance Quality Management, Supply Chain, Production Planning), Industry Vertical, & Geography - Global Forecast to 2028

https://www.meticulousresearch.com/product/artificial-intelligence-in-manufacturing-market-4983

About Meticulous Research

Meticulous Research was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

Contact:Mr.Khushal BombeMeticulous Market Research Inc.1267WillisSt,Ste200 Redding,California,96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email-[emailprotected]Visit Our Website:https://www.meticulousresearch.com/Connect with us on LinkedIn-https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/56/artificial-intelligence-in-cybersecurity-market-2029

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Artificial Intelligence in Cybersecurity Market Worth $66.22 billion by 2029 -- Exclusive Report by Meticulous Research - PR Newswire

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