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Can Meghan McCain become a Democrat? From Clinton, Trump to Biden, her swinging political views over the years – MEAWW

April 19, 2021 | Author: admin

Meghan McCain has never held back her political views despite being relentlessly trolled by the left-wing supporters on the Internet and attacked by far-right conservatives in the public for being a Republican who is "liberal on social issues."

Even her political affiliations have been questioned over the years. She originally registered as an independent voter when she was 18 years old and voted for John Kerry in the 2004 presidential election. On June 12, 2008, McCain wrote on her blog titled 'McCain Blogette' that she had changed her party registration to Republican. She said she did so "as a symbol of my commitment to my Dad and to represent the faith I have in his ability to be an effective leader for our country and to grow and strengthen the Republican party when he is elected president of the United States."

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Meghan McCain talks 'identity politics' on The View, Internet says her 'only qualification' is father John McCain

Although her father failed to bag the 2008 election, McCain remained loyal to the Republican party. This was despite her knowing that most old-school conservatives did not agree with everything that came out of her mouth.

Speaking at the 2009 Log Cabin Republican Convention, McCain said there was "a war brewing in the Republican Party" between the past and the future, and that "most of the old school Republicans are scared s**tless of that future."

She openly started a feud with the likes of famous conservative voices like Ann Coulter and Laura Ingraham when she started writing for the Daily Beast in 2009. At the time Ingraham clapped back by calling 'The View' host a "plus-size model." McCain responded to Ingraham saying, "Instead of intellectually debating our ideological differences about the future of the Republican Party, Ingraham resorted to making fun of my age and weight, in the fashion of the mean girls in high school."

In her memoir, 'Dirty Sexy Politics,' published in September 2010, McCain states that the Republican Party seemed "to have lost its way in the last ten years," and that the conservative movement seemed "hell-bent on restricting our freedoms rather than expanding them."

She further stated that within the Republican Party, she felt pressured to adopt the ideas of others, like Mitt Romney, especially regarding same-sex marriage, which she added was a danger for the existence of the party.

McCain has always described herself as "a woman who despises labels and boxes and stereotypes". She has stated that she is pro-life as well as in favor of sex education and birth control. She has time and again also pointed out the hypocrisy of the Republican Party regarding abortion: "They go on and on about how evil and wrong abortion is, but don't like to talk about how easy it is to not get pregnant."

McCain has campaigned for gay rights, and said that the LGBTQ community's fight for equality is "one of the ones closest to my heart." Speaking at the Log Cabin Republicans convention in April 2009, she described her cultural and political perspectives like this: "I am concerned about the environment. I love to wear black. I think government is best when it stays out of people's lives and business as much as possible. I love punk rock. I believe in a strong national defense. I have a tattoo. I believe government should always be efficient and accountable. I have lots of gay friends. And, yes, I am a Republican.

It is unlikely that she will switch her allegiance completely and become a Democrat in the near future. But, it is something that the mainstream media has always fantasized about. In February this year, McCain told her colleagues on 'The View' that she did not agree with double standard of broad-stroke platitudes that allows all Republicans to be painted as QAnon supporters.

As much as the left wants to act like Republicans are only QAnon supporters, part of the problem is when I hear that, I automatically get very tribal, McCain said. I think the idea that the Republican Party is just one swath... its just not nuanced. Ms. McCain added that Democrats should be known as the party of socialism and late-term abortion and cancel culture if media outlets applied the same rules to both parties. The problem I have is the only way to become a good Republican is to become a Democrat, according to the media, she continued. I dont know what to do anymore.

However, back in 2019, she said on the same show that she was consciously distancing herself from the term "Republican" because it was excessively being tied to former President Donald Trump.

"I said I consider myself a conservative first and foremost before being a Republican which, by the way, people like Ted Cruz say all the time then I also said I'm still in the party and I still vote Republican and I will going forward, but Trump gets nothing from me," she said. "That somehow got interpreted as I have led this mass exodus out of the Republican party. It's not true at all: I am still a Republican. But not voting for Trump doesn't necessarily mean you're not a conservative."

In the 2016 presidential election, she did not vote for Hillary Clinton or Donald Trump. Instead, she tweeted about having voted for Evan McMullin, a former House GOP staffer who mounted an independent campaign in opposition to GOP presidential nominee Donald Trump.

On September 1, 2018, she delivered a eulogy at her father's funeral at Washington National Cathedral, where she took the opportunity to deliver a sharp rebuke of Trump, remarking: "The America of John McCain has no need to be made great again because America was always great," alluding to his then-campaign slogan.

When the 2020 election rolled around, she said during 'Watch What Happens Live with Andy Cohen' that "it shouldn't take a rocket scientist" to know who she is voting for. There's one man who has made my life a living hell and another man who has literally shepherded me through the grief process," McCain said.

Then-presumptive Democratic nominee, Joe Biden was a close friend of McCain's late father and publicly consoled the senator's daughter on her show 'The View' back in 2017 when John was battling cancer.

In contrast, Trump has always had a contentious relationship with the McCains, especially after he refused to call John a "war hero" during a 2015 interview. "Hes not a war hero. Hes a war hero because he was captured. I like people that werent captured," Trump said at the time.

McCain, who was pregnant with her daughter Liberty Sage last year, said she loves Biden "dearly," but, "I'm always like, my heart over my head in so many different ways." "The Trumps, they're always making my mom cry," McCain said. "I just think politics is personal too and character is really important. And [I want] someone who's going to tamp down... fear and anger, instead of making it worse."

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Can Meghan McCain become a Democrat? From Clinton, Trump to Biden, her swinging political views over the years - MEAWW

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A Guide To Machine Learning: Everything You Need To Know – Analytics Insight

April 19, 2021 | Author: admin

Artificial Intelligence and other disruptive technology are spreading their wings in the current scenario. Technology has become a mandatory element for all kinds of businesses across all industries around the globe. Let us travel back to 1958 when Frank Rosenblatt created the first artificial neural network that could recognize patterns and shapes. From such a primitive stage we have now reached a place where machine learning is an integral part of almost all softwares and applications.

Machine learning is resonating with everything now, be it automated cars, speech recognition, chatbots, smart cities, and whatnot. The abundance of big data and the significance of data analytics and predictive analytics has made machine learning an imperative technology.

Machine learning, as the name suggests is a process in which machines learn and analyze the data fed to it and predict the outcome. There are different types of machine learning like supervised, unsupervised, semi-supervised, etc. Machine learning is the stairway to reach artificial intelligence and it learns from algorithms based on the database and derives answers and correlations from them.

Machine learning is an integral part of automation and digital transformation. In 2016, Google introduced its graph-based machine learning tool. It used the semi-supervised learning method to connect clusters of data based on their similarities. Machine learning technology helps industries identify market trends, potential risks, customer needs, and business insights. Today, business intelligence and automation are the norms and ML is the foundation to achieve these and enhance the efficiency of your business.

A term identified by Gartner, Hyperautomation is the new tech trend in the world. It enables industries to automate all possible operations and gain intelligent and real-time insights from the data collected. ML, AI, and RPA are some of the important technologies behind the acceleration of hyperautomation. AIs ability to augment human behaviour is aided by machine learning. Machine learning algorithms can automate various tasks once the algorithm is trained. ML models along with AI will enhance the capacity of machines and software to automatically improve and respond to changes according to the business requirements.

According to Industry Research, the Global Machine Learning market is projected to grow by USD11.16 billion between 2020 and 2024, progressing at a CAGR of 39% during the forecast period.

This data is enough to indicate the growth and acceptance of ML across the world. Let us understand how different industries are using ML.

Other industries leveraging ML include banking and finance, cybersecurity, manufacturing, media, automobile, and many more.

Executives and C-Suite professionals should consider it a norm to have a strategy or goal before putting out ML into practice. The true capability of this technology can only be extracted by developing a strategy for its use. Otherwise, the disruptive tech might remain inside closed doors just automating routine and mundane tasks. MLs capability to innovate should not be chained just to automate repetitive tasks.

According to McKinsey, companies should consist two types of people, quants, and translators to unleash the power of ML. Translators should be the ones connecting the vague lines between the complex data analysis by algorithms and convert it into readable and understandable business insights for the executives.

Machine learning is not an unfamiliar technology these days, but it still takes time and patience to leave the legacy systems behind and embrace the power of disruptive technologies. Companies should focus on democratizing ML and data analytics for their employees and create a transparent ecosystem to leverage the capabilities of these techs by demystifying them.

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Emerging AI and Machine Learning Trends to Watch in 2021 – FlaglerLive.com

April 19, 2021 | Author: admin

AI and ML tools are gradually entering the area of cybersecurity systems. (Ars Electronica)

Although many years ago we couldnt even think about this, today, Artificial Intelligence and Machine Learning technologies are gradually entering our life. Their presence can be noticed everywhere from complicated quantum computing systems to powerful medical diagnostic systems. To substantiate our statement, lets take a deeper look at the statistical data. In 2020, the revenue generated by AI services and technologies reached $158 billion. Therefore, if you are going to invest in building a mobile app for your business, you need to make sure you are dealing with a reputable software development team, that knows for sure how to work with AI tools, and keeps track of the latest trends in this niche. Following this link, you can find out more about artificial intelligence. In this post, well take a closer look at all emerging AI and ML trends to pay attention to in 2021.

According to Garner, hyper-automation is one of the main trends in the area of IT. The main concept that lies behind this idea is the fact that absolutely everything within one company can be automated. The COVID pandemic promoted the development and adoption of this idea. Sometimes, it is also called intelligent process automation. And ML and AI elements are the main drivers of hyper-automation.

The thing is that to get the best possible results hyper-automation initiatives cant be contingent on static packaged software. To achieve success, automated business processes must bring in sync with modern rapidly changing circumstances and quickly respond to vicissitudes of life. And this is where the use of AI and ML technologies might come in handy! Their powerful learning algorithms allow systems to quickly react to changing processes and can provide users with only up-to-date information.

It goes without saying that 2020 wasnt easy, but this year proved that modern business simply cant do without such experts as data scientists or practitioners. Last year, we noticed a surge in demand for such experts as data practitioners and AI/ML experts that can make your business more efficient and can help speed up decision-making.

Professional data scientists can surely make your business grow. They use their skills to translate business demands into data science, find new channels of operating, etc. Besides, they also use data science to help deal with a myriad of significant and complicated business processes.

In current times, the demand for professional data practitioners that understand statistical data is higher than ever before.

AI and ML tools are gradually entering the area of cybersecurity systems. Programmers of such systems are mostly focused on updating their technology to prevent the software from malware, DDS attacks, and ransomware. AI and ML tools can help find threats faster. On top of that, cybersecurity systems are also used for collecting data from various communication networks, transactional systems, and websites of a company. AI algorithms are also used to find threatening activity (dangerous IP addresses or potential data breaches).

Currently, AI is also widely used in home security systems but its functionality is still limited. Experts say that very soon, the functionality of such systems will be improved and they will be able to learn the habits, ways of behavior, and preferences of users. This information will surely help them recognize intruders faster.

So far, AI and ML technologies are a hot trend in software development. No matter what business strategy you have, these tools can easily be integrated into it. Therefore, we strongly suggest paying attention to such trends if you want to make your business grow.

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Smart condition monitoring with IIoT sensors and machine learning – eeNews Europe

April 19, 2021 | Author: admin

Siemens has launched a wireless multisensor system for condition monitoring in the Industrial Internet of Things (IIoT)

Sitrans SCM IQ is an IIoT system for smart condition monitoring that transmits vibration and temperature data via Bluetooth to an industry gateway and on to the cloud.

This enables potential incidents to be detected and prevented at an early stage, reducing maintenance costs and downtimes, and increasing plant performance by up to ten percent.

The wireless, robust Sitrans MS200 multisensors form the hardware basis for installation on machinery such as pumps, gear units, compressors, and drive trains, where they collect vibration and temperature data. Via a Bluetooth connection, this data is sent to the Sitrans CC220 industry gateway where it is encrypted before being transmitted from there to the cloud, in this case the MindSphere industrial IoT-as-a-Service solution.

The anomaly detection of the Sitrans SCM IQ system is based on machine learning. It constantly monitors and analyzes all sensor values and detects deviations from the normal operating state in advance. Anomaly notifications are sent via SMS and/or email, depending on the configuration and defined user group.

An app can be used to document the anomalies of machinery behavior and makes them available to a specific circle of users. The Sitrans SCM IQ system comprises multisensors, gateway and app, and can be used in all industrial plants with mechanical or rotating components. It is scheduled to be available from summer 2021.

The Sitrans MS200 multisensors feature a robust and compact industrial design with a high IP68 degree of protection. Bluetooth communication eliminates the need for cabling, which greatly simplifies installation and commissioning. The power supply is provided by replaceable industrial batteries, enabling a long service life.

The Sitrans CC220 industry gateway ensures secure communication between the multisensor and the cloud. It is suitable for cabinet installation and has an external Bluetooth antenna. The high sample rate transmission enables accurate and reliable data analysis.

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Twitter analysing harmful impacts of its AI, machine learning algorithms – Business Standard

April 19, 2021 | Author: admin

In a bid to assess racial and gender bias in its artificial intelligence/machine learning systems, Twitter is starting a new initiative called Responsible Machine Learning.

Terming it a long journey in its early days, Twitter said the initiative will assess any "unintentional harms" caused by its algorithms.

"When Twitter uses ML, it can impact hundreds of millions of Tweets per day and sometimes, the way a system was designed to help could start to behave differently than was intended," said Jutta Williams and Rumman Chowdhury from Twitter.

"These subtle shifts can then start to impact the people using Twitter and we want to make sure we're studying those changes and using them to build a better product," they said in a statement late on Thursday.

Twitter's 'Responsible ML' working group is interdisciplinary and is made up of people from across the company, including technical, research, trust and safety, and product teams.

"Leading this work is our ML Ethics, Transparency and Accountability (META) team: a dedicated group of engineers, researchers, and data scientists collaborating across the company to assess downstream or current unintentional harms in the algorithms we use and to help Twitter prioritise which issues to tackle first," the company elaborated.

Twitter said it will research and understand the impact of ML decisions, conduct in-depth analysis and studies to assess the existence of potential harms in the algorithms it uses.

Some of the tasks will be a gender and racial bias analysis of its image cropping (saliency) algorithm, a fairness assessment of our Home timeline recommendations across racial subgroups and an analysis of content recommendations for different political ideologies across seven countries.

"The most impactful applications of responsible ML will come from how we apply our learnings to build a better Twitter," the company said.

This may result in changing its product, such as removing an algorithm and giving people more control over the images they Tweet.

Twitter said it is also building explainable ML solutions so people can better understand its algorithms, what informs them, and how they impact what they see on the platform.

--IANS

na/

(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)

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Solving the basic problems of machine learning – Federal News Network

April 19, 2021 | Author: admin

Best listening experience is on Chrome, Firefox or Safari. Subscribe to Fed Tech Talks audio interviews on Apple Podcasts or PodcastOne

This week on Federal Tech Talk, host John Gilroy speaks with Michael Stonebraker, co-founder of Tamr. Stonebraker has been involved with technology since 1971. Fifty years in a profession can lead someone to plateau, but that has not been the case with Stonebraker.

In addition to his academic career, he has been involved in over a dozen tech startups, the latest being Tamr. He decided to throw in with Tamr because he thinks it solves the basic problem with machine learning.

According to Stonebraker, data scientists spend too much time cleaning up data and not enough time on the analysis. Tamrs breakthrough technology will assist in reducing the amount of time a data scientist takes to begin a project.

The reason he has gravitas is in 2014, he won the Turing Award from the Association for Computing Machinery. Kind of like the Nobel for computer scientists.

In this humorous and entertaining interview, Stonebraker has no problem sharing controversial opinions about products like Hadoop and MapReduce.

He uses terms like grok and intergalactic. It is obvious he is a master craftsman with databases and has completely adopted the nomenclature of state-of-the-art systems developers.

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Twitter Outlines Evolving Approach to Algorithms as Part of New ‘Responsible Machine Learning Initiative’ – Social Media Today

April 19, 2021 | Author: admin

It's amazing how commonplace the term 'algorithm' has now become, with machine learning, algorithmic-defined systems now being used to filter information to us at an increasingly efficient rate, in order to keep us engaged, keep us clicking, and keep us scrolling through our social media feeds for hours on end.

But algorithms have also become a source of rising concern in recent times, with the goals of the platforms feeding us such information often at odds with broader societal aims of increased connection and community. Indeed, various studies have found that what sparks more engagement online is content that triggers strong emotional response, with anger, for one, being a powerful driver of such. Given this, algorithms, whether intentionally or not, are basically built to fuel division, via the more practical business aim of maximizing engagement.

Sure, partisan news coverage also plays a part, as does existing bias and division. But algorithms have arguably incentivized such to a significant enough degree that such approaches now largely define, or at least influence, everything that we see.

If it feels like the world is more divided than ever, that's probably because it is, and it's likely due to the algorithms which, in effect, keep us angry all of the time.

Every platform is examining this, and the impacts of algorithms in various respects. And today, Twitter has outlined its latest algorithmic research effort, which it's calling its 'Responsible Machine Learning Initiative', which will monitor the impacts of algorithmic shifts with a view to removing various negative elements, including bias, from how it applies machine learning systems.

As explained by Twitter:

"When Twitter uses ML, it can impact hundreds of millions of Tweets per day and sometimes, the way a system was designed to help could start to behave differently than was intended. These subtle shifts can then start to impact the people using Twitter and we want to make sure were studying those changes and using them to build a better product."

The project will address four key pillars:

The broader view is that by analyzing these elements, Twitter will be able to both maximize engagement, in line with its ambitious growth targets, while also taking into account, and minimizing potential societal harms. Which may lead to difficult conflicts across the two streams -but Twitter's hoping that by instituting more specific guidance as to how it applies such, it can build a more beneficial, inclusive platform through its increased learning and development.

"The META team works to study how our systems work and uses those findings to improve the experience people have on Twitter. This may result in changing our product, such as removing an algorithm and giving people more control over the images they Tweet, or in new standards into how we design and build policies when they have an outsized impact on one particular community."

The project will also include Twitter's ambitious 'BlueSky' initiative, which essentially aims to enable users to define their own algorithms at some point, as opposed to being guided by an overarching set of platform-wide rules.

"Were also building explainable ML solutions so you can better understand our algorithms, what informs them, and how they impact what you see on Twitter. Similarly, algorithmic choice will allow people to have more input and control in shaping what they want Twitter to be for them. Were currently in the early stages of exploring this and will share more soon."

That's a far broader-reaching project, with complexities that could make it impossible for day-to-day application or use by regular people. But the idea is that by exploring specific elements, Twitter will be able to make more informed, intelligent, and fair choices as to how it applies its machine-defined rules and systems.

It's good to see Twitter taking this element on, even with the amount of challenges it will face, and hopefully, it will help the platform weed out some of the more concerning algorithmic elements, and create a better, more inclusive, less divisive system.

But I have my doubts.

The desires of idealists will generally always conflict in the demands of shareholders, and it seems like, at some stage, such investigations will lead to difficult choices that can only go one way or the other. But still, that's likely on a wider scale - maybe, by addressing at least some of these aspects, Twitter can build a better system, even if it's not perfect.

At the least, it will provide more insight into the effects of algorithms, and what that means for social platforms in general.

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How to Sync Cloud Services in 2021 [Cloud Sync and Transfers] – Cloudwards

April 19, 2021 | Author: admin

How to Sync Cloud Services in 2021 [Cloud Sync and Transfers] Search

Ordinarily, there is no way for different cloud storage solutions to sync with one another. If you want to do this, you will need to use a third-party cloud-to-cloud management service. Our favorite multi-cloud manager is the exceptional MultCloud, and we will be using it to demonstrate how to sync between cloud storage services (read our MultCloud review).

Please note that most cloud management services that support cloud-to-cloud sync, function roughly the same way. So, these steps can be applied to managers like our second-best cloud-to-cloud transfer service, cloudHQ, as well.

Without a multi-cloud management service such as MultCloud, this is a needlessly complicated process. First, you need to log into your cloud storage service and download the files you want to transfer. Then you have to log into your other cloud storage and upload the desired files. A cloud-to-cloud management solution automates all of this, saving you precious time.

Using a proficient cloud-to-cloud management solution like MultCloud that has cloud sync enabled, you will be able to sync Google Drive to OneDrive (and vice versa). You can choose between one-way and two-way sync. One-way sync is perfect for backup purposes from one cloud storage to another, while two-way sync will keep the files the same on both.

In order to connect multiple cloud storage platforms together and control them from one place, you need to employ a cloud-to-cloud management service. Through such an app, you will be able to manage your cloud services and sync them to one another for data transfer and backup purposes.

A multi-cloud management solution that works through a web client can only be accessed and used via some of the most popular web browsers. Management services such as MultCloud and cloudHQ use this method. Apps that use a desktop sync client require that you first install them on your computer, after which they will sync files to your computer.

To help you set up sync relationships between cloud storage services using a cloud-to-cloud management service, weve composed this step-by-step guide. In this particular example, we will use MultCloud as our multi-cloud manager of choice, and the cloud storages we will sync together will be two popular cloud storage platforms: Google Drive and Microsoft OneDrive.

The first step is to open a MultCloud account, if you dont already have one. MultCloud has a very attractive free plan that gets you 30GB of data traffic a month, so you dont even have to spend any money to start syncing your cloud services. After you have created your MultCloud account, log in to it with your credentials.

Once youve logged in, you will be greeted with MultClouds user interface. Click on the add Cloud Drives icon in the upper-left corner of the screen.

In this section, you will be able to choose one of MultClouds supported cloud services and file transfer protocols. Go on and select Google Drive or whatever cloud storage you need to sync. Click on the add Google Drive account icon. Also, here you will be able to change your selected cloud storages display name if you wanted.

This is the final step before MultCloud can connect with Google Drive. In order for this to happen, MultCloud needs access to your Google Drive files, so click allow in order to authorize this.

Now that you have added Google Drive to your MultCloud, repeat steps two through four, but this time, select OneDrive instead. Regardless of which cloud storage service you select, this part of the process should stay the same.

You have successfully added Google Drive and OneDrive to MultCloud. Now, proceed to the cloud sync section. Add Google Drive as the source (the left square) and OneDrive as the destination (the right square).

MultCloud has two sync types: one-way and two-way sync. With one-way sync, all the files added, modified or deleted in the source directory (Google Drive) will be copied to the destination directory (OneDrive). With two-way sync, every file you add to either the source or destination directories will be copied over, keeping the files the same on both. Choose one of these types.

MultCloud gives you the option to include or exclude certain cloud files from being transferred based on their name or file types. Please note that this step is optional since you can choose to transfer all of your files, but filtering provides you with an additional level of control.

Another optional step is to schedule the sync to take place at a specific time, such as the same day every week or month. Otherwise, the sync will run in real time.

All thats left is to click sync now and start your cloud-to-cloud sync process.

Simply put, cloud sync is a way to access your files from many devices using the power of cloud storage. Cloud syncing makes sure that whenever you upload a file to your cloud storage, its immediately downloaded to all of your devices where you have the cloud app installed. When you update a cloud file, its simultaneously updated in the cloud and on all of your devices.

Cloud-to-cloud syncing works in the same way normal cloud sync does, with one notable difference. This difference being that you will need to use a multi-cloud management service that will work as a sort of bridge between the cloud storage platforms in question. This manager handles the file sync, backup and transfer from one cloud account to another.

The benefits of having cloud-to-cloud sync relationships between your cloud storages include a much easier cloud migration process and backing up your cloud files. Without a cloud-to-cloud management service, you would need to first manually download your files from one cloud storage platform and then upload them to another.

This is especially time-consuming if you are dealing with large files or cloud services that can store unlimited amounts of data. Instead of performing this by hand, you can instead automate these processes with a multi-cloud manager like MultCloud or cloudHQ.

There you have it: our step-by-step guide on how to sync between cloud storages using MultCloud. We hope that it has helped you to see how easy and useful syncing your cloud storage services can be. When you use a great service such as MultCloud, you open up new possibilities for cloud-to-cloud transfer and backup.

Have you ever used a cloud-to-cloud management service to sync your cloud services? What is your favorite multi-cloud manager and cloud storage service combo? Tell us in the comments below. As always, thank you for reading.

Let us know if you liked the post. Thats the only way we can improve.

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Gaining a video surveillance ‘edge’ in the cloud – Security Magazine

April 19, 2021 | Author: admin

Gaining a video surveillance edge in the cloud | 2021-04-16 | Security Magazine This website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more. This Website Uses CookiesBy closing this message or continuing to use our site, you agree to our cookie policy. Learn MoreThis website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.

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Cloud archiving: A perfect use case, but beware costs and egress issues – ComputerWeekly.com

April 19, 2021 | Author: admin

A little over a decade ago, the notion of cloud storage would have been alien to the vast majority of the population. It has now become so much part of our vocabulary that people talk glibly about storing their personal data in the cloud.

It is, therefore, no surprise that enterprises are eagerly adopting the cloud as a storage technology. Amazon Web Services (AWS), by far the leading player in the public cloud service sector, launched its S3 storage product 15 years ago, and the company quickly established itself as the pace-setter in this new market.

Many companies looking to move to the cloud for the first time do so by exploring storage options currently,about 50% of corporate data is held in the cloud, and this is growing all the time.

Archived data is particularly suited to the cloud because many of its disadvantages do not apply. For example, many organisations shy away from cloud storage because latency is an issue. They have applications that cannot exist in a geographically remote location. But this does not apply to archived material. Historical data need not be delivered so quickly that a few seconds delay matters.

The big plus point for cloud archiving is cost. AWSs S3 was launched with the aim of simplifying the cost of storage, but the company has since introduced Glacier and Deep Glacier as storage options taking the cost to a lower level. For example, AWSs Deep Glacier option can be less than a dollar per terabyte for a months storage. And such low costs arent unique to Amazon. Microsoft Azures archiving option, LRS, is a similar price.

As a guide, AWSs S3 is nearly 200 times more expensive (and again, Microsoft and Googles costs are very similar). Its clear then, that any company looking for a cost-effective long-term archiving option will find the cloud an attractive option.

But theres another dimension to archiving in the cloud and thats to do with the technology itself.

Anyone whos been in the corporate world for any length of time will have seen many changes in storage media. There have been multiple form factors and, given that archiving is a long-term project, any CIO will have to make a choice about what medium to use, while also making sure the company has the equipment to read it. It may be a simple choice to install a DLT library, for example, but will the hardware to read it be around 20 years down the line?

By transferring data to a cloud provider, archiving is future-proofed and organisations can be reasonably content that everything will be archived for years into the future

Its a choice thats been moved to the forefront of decision-making since the passing of theGeneral Data Protection Regulation (GDPR). Companies that have been content to hold long-term data on hard-to-reach tape have suddenly had to make sure everything is now readily available. Its something that has concentrated IT managers minds.

Moving to the cloud solves this legacy hardware issue. Companies dont need to keep an inventory of old hardware. By transferring data to a cloud provider, archiving is future-proofed and organisations can be reasonably content that everything will be archived for years into the future which would be good news for any data protection officers struggling to meet GDPR obligations.

GDPR is not the only factor that has prompted moves to the cloud. The Covid-19 coronavirus pandemic and the increasing number of people working from home or remote locations has also had an impact on the way employees access corporate systems.

The closure of many offices to stop the spread of the virus has made physical archiving to tape librariesmore challenging and off-site archiving to the cloud a more attractive option. Its also become far easier to access archived data from anywhere and, as the signs are that there will be a growing number of people home working in the future, cloud archiving will become an automatic choice for many organisations.

However, there are many companies that remain fearful of off-site archiving. There are still concerns over security, despite the many millions of pounds that cloud companies invest in top-of-the-range security systems. Its true that users are far more confident about cloud security than they used to be, but there are still some die-hards fearful of anything not on their own systems.

While security is fading away as an issue, there are two other factors that are still in play.

First of all, theres cost. As we have seen, archiving costs are low and falling all the time. However, theres been a slow realisation among IT managers that cloud costs dont always match expectations and what has been sold as a cheap option can end up costing far more than expected.

The other issue is the concern about getting data out. This is particularly relevant for archiving when managers have to take the long-term view and want to ensure their data is available for a considerable length of time. There have been instances where data is held by a provider that has gone bust and has become inaccessible to customers, which is a nightmare for any manager with compliance responsibilities.

According to Bryan Betts, senior research analyst at Freeform Dynamics, these are definitely the two areas of most concern. CIOs are savvy that cloud is not the cheap option and are concerned they could be caught up by terms and conditions and find theres a problem getting data out. There are also difficulties in moving between clouds, he says.

However, he cautioned that there is a definite gap between reality and expectation. People are more fearful about costs and terms and conditions than is justified in reality. Managers who have actually made the move dont show these concerns, adds Betts.

People are more fearful about costs and terms and conditions than is justified in reality. Managers who have actually made the move dont show these concerns Bryan Betts, Freeform Dynamics

There are still issues that may inhibit the move to the cloud. While there are many examples of companies that want the move to boost operating expenditureand cut down on capital expenditure, there are instances of organisations that want to maintain the latter for accountancy reasons. And, says Betts, there are organisations that have pulled everything back from the cloud because its easier to control costs.

Some companies have been reluctant to move to the cloud for off-site archiving because of a perceived lack of cloud skills this may apply particularly to small and medium-sized enterprises (SMEs). But, as Betts points out, theres still a need for skills if theyre going to implement an on-premise policy, so its not such a straightforward swap. SMEs may well lack some of these specialist skills too, and may find it particularly the case when adhering to GDPR compliance.

It is clear there are plenty of advantages to archiving in the cloud. By freeing CIOs from the pain of choosing a hardware medium for long-term storage, moving to the cloud offers greater flexibility.

But thats not to say that its a pain-free choice. Close attention must be paid to cost and theres definitely a need for companies to ensure theyre not left high and dry with restrictive terms and conditions that can lead to difficulties in accessing data.

However, as we move further away from nine-to-five, office-based work, cloud archiving looks, for many firms, to be the best way forward.

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Cloud archiving: A perfect use case, but beware costs and egress issues - ComputerWeekly.com

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