#cloud computing technologies

[ds4u]

Cloud computing has one of the fastest adoption rates globally. Most organizations are using the power of cloud computing to access and manage data efficiently as well as for scalability. Currently, the global market size of cloud computing is $679 billion in 2024, and it is expected to surpass $1 trillion by 2027. It clearly shows how fast the world is adapting to cloud computing technology. And that increases the chances of cyber attacks and data breaches as well. It is a big concern that every organization is focusing on resolving by improving cloud computing security.

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BSOD v2 Sunset Clouds

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Cloudburst

Enshittification isn’t inevitable: under different conditions and constraints, the old, good internet could have given way to a new, good internet. Enshittification is the result of specific policy choices: encouraging monopolies; enabling high-speed, digital shell games; and blocking interoperability.

First we allowed companies to buy up their competitors. Google is the shining example here: having made one good product (search), they then fielded an essentially unbroken string of in-house flops, but it didn’t matter, because they were able to buy their way to glory: video, mobile, ad-tech, server management, docs, navigation…They’re not Willy Wonka’s idea factory, they’re Rich Uncle Pennybags, making up for their lack of invention by buying out everyone else:

https://locusmag.com/2022/03/cory-doctorow-vertically-challenged/

But this acquisition-fueled growth isn’t unique to tech. Every administration since Reagan (but not Biden! more on this later) has chipped away at antitrust enforcement, so that every sector has undergone an orgy of mergers, from athletic shoes to sea freight, eyeglasses to pro wrestling:

https://www.whitehouse.gov/cea/written-materials/2021/07/09/the-importance-of-competition-for-the-american-economy/

But tech is different, because digital is flexible in a way that analog can never be. Tech companies can “twiddle” the back-ends of their clouds to change the rules of the business from moment to moment, in a high-speed shell-game that can make it impossible to know what kind of deal you’re getting:

https://pluralistic.net/2023/02/27/knob-jockeys/#bros-be-twiddlin

To make things worse, users are banned from twiddling. The thicket of rules we call IP ensure that twiddling is only done against users, never for them. Reverse-engineering, scraping, bots — these can all be blocked with legal threats and suits and even criminal sanctions, even if they’re being done for legitimate purposes:

https://locusmag.com/2020/09/cory-doctorow-ip/

Enhittification isn’t inevitable but if we let companies buy all their competitors, if we let them twiddle us with every hour that God sends, if we make it illegal to twiddle back in self-defense, we will get twiddled to death. When a company can operate without the discipline of competition, nor of privacy law, nor of labor law, nor of fair trading law, with the US government standing by to punish any rival who alters the logic of their service, then enshittification is the utterly foreseeable outcome.

To understand how our technology gets distorted by these policy choices, consider “The Cloud.” Once, “the cloud” was just a white-board glyph, a way to show that some part of a software’s logic would touch some commodified, fungible, interchangeable appendage of the internet. Today, “The Cloud” is a flashing warning sign, the harbinger of enshittification.

When your image-editing tools live on your computer, your files are yours. But once Adobe moves your software to The Cloud, your critical, labor-intensive, unrecreatable images are purely contingent. At at time, without notice, Adobe can twiddle the back end and literally steal the colors out of your own files:

https://pluralistic.net/2022/10/28/fade-to-black/#trust-the-process

The finance sector loves The Cloud. Add “The Cloud” to a product and profits (money you get for selling something) can turn into rents (money you get for owning something). Profits can be eroded by competition, but rents are evergreen:

https://pluralistic.net/2023/07/24/rent-to-pwn/#kitt-is-a-demon

No wonder The Cloud has seeped into every corner of our lives. Remember your first iPod? Adding music to it was trivial: double click any music file to import it into iTunes, then plug in your iPod and presto, synched! Today, even sophisticated technology users struggle to “side load” files onto their mobile devices. Instead, the mobile duopoly — Apple and Google, who bought their way to mobile glory and have converged on the same rent-seeking business practices, down to the percentages they charge — want you to get your files from The Cloud, via their apps. This isn’t for technological reasons, it’s a business imperative: 30% of every transaction that involves an app gets creamed off by either Apple or Google in pure rents:

https://www.kickstarter.com/projects/doctorow/red-team-blues-another-audiobook-that-amazon-wont-sell/posts/3788112

And yet, The Cloud is undeniably useful. Having your files synch across multiple devices, including your collaborators’ devices, with built-in tools for resolving conflicting changes, is amazing. Indeed, this feat is the holy grail of networked tools, because it’s how programmers write all the software we use, including software in The Cloud.

If you want to know how good a tool can be, just look at the tools that toolsmiths use. With “source control” — the software programmers use to collaboratively write software — we get a very different vision of how The Cloud could operate. Indeed, modern source control doesn’t use The Cloud at all. Programmers’ workflow doesn’t break if they can’t access the internet, and if the company that provides their source control servers goes away, it’s simplicity itself to move onto another server provider.

This isn’t The Cloud, it’s just “the cloud” — that whiteboard glyph from the days of the old, good internet — freely interchangeable, eminently fungible, disposable and replaceable. For a tool like git, Github is just one possible synchronization point among many, all of which have a workflow whereby programmers’ computers automatically make local copies of all relevant data and periodically lob it back up to one or more servers, resolving conflicting edits through a process that is also largely automated.

There’s a name for this model: it’s called “Local First” computing, which is computing that starts from the presumption that the user and their device is the most important element of the system. Networked servers are dumb pipes and dumb storage, a nice-to-have that fails gracefully when it’s not available.

The data structures of source-code are among the most complicated formats we have; if we can do this for code, we can do it for spreadsheets, word-processing files, slide-decks, even edit-decision-lists for video and audio projects. If local-first computing can work for programmers writing code, it can work for the programs those programmers write.

Local-first computing is experiencing a renaissance. Writing for Wired, Gregory Barber traces the history of the movement, starting with the French computer scientist Marc Shapiro, who helped develop the theory of “Conflict-Free Replicated Data” — a way to synchronize data after multiple people edit it — two decades ago:

https://www.wired.com/story/the-cloud-is-a-prison-can-the-local-first-software-movement-set-us-free/

Shapiro and his co-author Nuno Preguiça envisioned CFRD as the building block of a new generation of P2P collaboration tools that weren’t exactly serverless, but which also didn’t rely on servers as the lynchpin of their operation. They published a technical paper that, while exiting, was largely drowned out by the release of GoogleDocs (based on technology built by a company that Google bought, not something Google made in-house).

Shapiro and Preguiça’s work got fresh interest with the 2019 publication of “Local-First Software: You Own Your Data, in spite of the Cloud,” a viral whitepaper-cum-manifesto from a quartet of computer scientists associated with Cambridge University and Ink and Switch, a self-described “industrial research lab”:

https://www.inkandswitch.com/local-first/static/local-first.pdf

The paper describes how its authors — Martin Kleppmann, Adam Wiggins, Peter van Hardenberg and Mark McGranaghan — prototyped and tested a bunch of simple local-first collaboration tools built on CFRD algorithms, with the goal of “network optional…seamless collaboration.” The results are impressive, if nascent. Conflicting edits were simpler to resolve than the authors anticipated, and users found URLs to be a good, intuitive way of sharing documents. The biggest hurdles are relatively minor, like managing large amounts of change-data associated with shared files.

Just as importantly, the paper makes the case for why you’d want to switch to local-first computing. The Cloud is not reliable. Companies like Evernote don’t last forever — they can disappear in an eyeblink, and take your data with them:

https://www.theverge.com/2023/7/9/23789012/evernote-layoff-us-staff-bending-spoons-note-taking-app

Google isn’t likely to disappear any time soon, but Google is a graduate of the Darth Vader MBA program (“I have altered the deal, pray I don’t alter it any further”) and notorious for shuttering its products, even beloved ones like Google Reader:

https://www.theverge.com/23778253/google-reader-death-2013-rss-social

And while the authors don’t mention it, Google is also prone to simply kicking people off all its services, costing them their phone numbers, email addresses, photos, document archives and more:

https://pluralistic.net/2022/08/22/allopathic-risk/#snitches-get-stitches

There is enormous enthusiasm among developers for local-first application design, which is only natural. After all, companies that use The Cloud go to great lengths to make it just “the cloud,” using containerization to simplify hopping from one cloud provider to another in a bid to stave off lock-in from their cloud providers and the enshittification that inevitably follows.

The nimbleness of containerization acts as a disciplining force on cloud providers when they deal with their business customers: disciplined by the threat of losing money, cloud companies are incentivized to treat those customers better. The companies we deal with as end-users know exactly how bad it gets when a tech company can impose high switching costs on you and then turn the screws until things are almost-but-not-quite so bad that you bolt for the doors. They devote fantastic effort to making sure that never happens to them — and that they can always do that to you.

Interoperability — the ability to leave one service for another — is technology’s secret weapon, the thing that ensures that users can turn The Cloud into “the cloud,” a humble whiteboard glyph that you can erase and redraw whenever it suits you. It’s the greatest hedge we have against enshittification, so small wonder that Big Tech has spent decades using interop to clobber their competitors, and lobbying to make it illegal to use interop against them:

https://locusmag.com/2019/01/cory-doctorow-disruption-for-thee-but-not-for-me/

Getting interop back is a hard slog, but it’s also our best shot at creating a new, good internet that lives up the promise of the old, good internet. In my next book, The Internet Con: How to Seize the Means of Computation (Verso Books, Sept 5), I set out a program fro disenshittifying the internet:

https://www.versobooks.com/products/3035-the-internet-con

The book is up for pre-order on Kickstarter now, along with an independent, DRM-free audiobooks (DRM-free media is the content-layer equivalent of containerized services — you can move them into or out of any app you want):

http://seizethemeansofcomputation.org

Meanwhile, Lina Khan, the FTC and the DoJ Antitrust Division are taking steps to halt the economic side of enshittification, publishing new merger guidelines that will ban the kind of anticompetitive merger that let Big Tech buy its way to glory:

https://www.theatlantic.com/ideas/archive/2023/07/biden-administration-corporate-merger-antitrust-guidelines/674779/

The internet doesn’t have to be enshittified, and it’s not too late to disenshittify it. Indeed — the same forces that enshittified the internet — monopoly mergers, a privacy and labor free-for-all, prohibitions on user-side twiddling — have enshittified everything from cars to powered wheelchairs. Not only should we fight enshittification — we must.

Back my anti-enshittification Kickstarter here!

If you’d like an essay-formatted version of this post to read or share, here’s a link to it on pluralistic.net, my surveillance-free, ad- free, tracker-free blog:

https://pluralistic.net/2023/08/03/there-is-no-cloud/#only-other-peoples-computers

Image: Drahtlos (modified) https://commons.wikimedia.org/wiki/File:Motherboard_Intel_386.jpg

CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en

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cdsessums (modified) https://commons.wikimedia.org/wiki/File:Monsoon_Season_Flagstaff_AZ_clouds_storm.jpg

CC BY-SA 2.0 https://creativecommons.org/licenses/by-sa/2.0/deed.en

[zman80]

Rendering Ranges

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Hi there!! I love your stimboards so much, they're so nicely put together. I was wondering if you could create one focused on spamton and noelle's friendship (from deltarune) with blue colors, old tech, and wintertime themes? Feel free to go wherever inspiration takes you though :^]

Of course I can, here you go ^^ And thank you!!

🖥️🌀❄️ Platonic Spamton G. Spamton & Noelle Holiday (Deltarune) stimboard with themes of blue, old tech, and winter for @charrfie :3

Thank you for the request, I tried my best ^^ I tried a little bit of a different layout/organisation and I'm not sure if I like it? Whatever. I think this looks alright at least, and I hope you like it :3

I like them ^^ I'm actually a Deltarune fan, but sadly I don't know much about chapter 2 since I haven't gotten around to finishing it...I still like these two though, both separately and in this kind of dynamic :33

Sources:

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BioTech Industries Borg Construct Aj^6

Source: The Essential Guide to Weapons and Technology (Del Rey, 1997)

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Board with sun + tech and soft green / soft pink stims!

- Mod Pent.

((Sources of gifs: x, x, x | x, x, x | x, x, x )

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Stimboard of the Blue Man Group since I saw them last night (THEY WERE AWESOME)

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[gravitywasneveranoption]

Cloud stimboard

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x (my art) x

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[datapeakbyfactr]

AI’s Role in Business Process Automation

Automation has come a long way from simply replacing manual tasks with machines. With AI stepping into the scene, business process automation is no longer just about cutting costs or speeding up workflows—it’s about making smarter, more adaptive decisions that continuously evolve. AI isn't just doing what we tell it; it’s learning, predicting, and innovating in ways that redefine how businesses operate. 

From hyperautomation to AI-powered chatbots and intelligent document processing, the world of automation is rapidly expanding. But what does the future hold?

What is Business Process Automation? 

Business Process Automation (BPA) refers to the use of technology to streamline and automate repetitive, rule-based tasks within an organization. The goal is to improve efficiency, reduce errors, cut costs, and free up human workers for higher-value activities. BPA covers a wide range of functions, from automating simple data entry tasks to orchestrating complex workflows across multiple departments. 

Traditional BPA solutions rely on predefined rules and scripts to automate tasks such as invoicing, payroll processing, customer service inquiries, and supply chain management. However, as businesses deal with increasing amounts of data and more complex decision-making requirements, AI is playing an increasingly critical role in enhancing BPA capabilities. 

AI’s Role in Business Process Automation 

AI is revolutionizing business process automation by introducing cognitive capabilities that allow systems to learn, adapt, and make intelligent decisions. Unlike traditional automation, which follows a strict set of rules, AI-driven BPA leverages machine learning, natural language processing (NLP), and computer vision to understand patterns, process unstructured data, and provide predictive insights. 

Here are some of the key ways AI is enhancing BPA: 

Self-Learning Systems: AI-powered BPA can analyze past workflows and optimize them dynamically without human intervention. 

Advanced Data Processing: AI-driven tools can extract information from documents, emails, and customer interactions, enabling businesses to process data faster and more accurately. 

Predictive Analytics: AI helps businesses forecast trends, detect anomalies, and make proactive decisions based on real-time insights. 

Enhanced Customer Interactions: AI-powered chatbots and virtual assistants provide 24/7 support, improving customer service efficiency and satisfaction. 

Automation of Complex Workflows: AI enables the automation of multi-step, decision-heavy processes, such as fraud detection, regulatory compliance, and personalized marketing campaigns. 

As organizations seek more efficient ways to handle increasing data volumes and complex processes, AI-driven BPA is becoming a strategic priority. The ability of AI to analyze patterns, predict outcomes, and make intelligent decisions is transforming industries such as finance, healthcare, retail, and manufacturing. 

“At the leading edge of automation, AI transforms routine workflows into smart, adaptive systems that think ahead. It’s not about merely accelerating tasks—it’s about creating an evolving framework that continuously optimizes operations for future challenges.”

— Emma Reynolds, CTO of QuantumOps

Trends in AI-Driven Business Process Automation 

1. Hyperautomation 

Hyperautomation, a term coined by Gartner, refers to the combination of AI, robotic process automation (RPA), and other advanced technologies to automate as many business processes as possible. By leveraging AI-powered bots and predictive analytics, companies can automate end-to-end processes, reducing operational costs and improving decision-making. 

Hyperautomation enables organizations to move beyond simple task automation to more complex workflows, incorporating AI-driven insights to optimize efficiency continuously. This trend is expected to accelerate as businesses adopt AI-first strategies to stay competitive. 

2. AI-Powered Chatbots and Virtual Assistants 

Chatbots and virtual assistants are becoming increasingly sophisticated, enabling seamless interactions with customers and employees. AI-driven conversational interfaces are revolutionizing customer service, HR operations, and IT support by providing real-time assistance, answering queries, and resolving issues without human intervention. 

The integration of AI with natural language processing (NLP) and sentiment analysis allows chatbots to understand context, emotions, and intent, providing more personalized responses. Future advancements in AI will enhance their capabilities, making them more intuitive and capable of handling complex tasks. 

3. Process Mining and AI-Driven Insights 

Process mining leverages AI to analyze business workflows, identify bottlenecks, and suggest improvements. By collecting data from enterprise systems, AI can provide actionable insights into process inefficiencies, allowing companies to optimize operations dynamically. 

AI-powered process mining tools help businesses understand workflow deviations, uncover hidden inefficiencies, and implement data-driven solutions. This trend is expected to grow as organizations seek more visibility and control over their automated processes. 

4. AI and Predictive Analytics for Decision-Making 

AI-driven predictive analytics plays a crucial role in business process automation by forecasting trends, detecting anomalies, and making data-backed decisions. Companies are increasingly using AI to analyze customer behaviour, market trends, and operational risks, enabling them to make proactive decisions. 

For example, in supply chain management, AI can predict demand fluctuations, optimize inventory levels, and prevent disruptions. In finance, AI-powered fraud detection systems analyze transaction patterns in real-time to prevent fraudulent activities. The future of BPA will heavily rely on AI-driven predictive capabilities to drive smarter business decisions. 

5. AI-Enabled Document Processing and Intelligent OCR 

Document-heavy industries such as legal, healthcare, and banking are benefiting from AI-powered Optical Character Recognition (OCR) and document processing solutions. AI can extract, classify, and process unstructured data from invoices, contracts, and forms, reducing manual effort and improving accuracy. 

Intelligent document processing (IDP) combines AI, machine learning, and NLP to understand the context of documents, automate data entry, and integrate with existing enterprise systems. As AI models continue to improve, document processing automation will become more accurate and efficient. 

Going Beyond Automation

The future of AI-driven BPA will go beyond automation—it will redefine how businesses function at their core. Here are some key predictions for the next decade: 

Autonomous Decision-Making: AI systems will move beyond assisting human decisions to making autonomous decisions in areas such as finance, supply chain logistics, and healthcare management. 

AI-Driven Creativity: AI will not just automate processes but also assist in creative and strategic business decisions, helping companies design products, create marketing strategies, and personalize customer experiences. 

Human-AI Collaboration: AI will become an integral part of the workforce, working alongside employees as an intelligent assistant, boosting productivity and innovation. 

Decentralized AI Systems: AI will become more distributed, with businesses using edge AI and blockchain-based automation to improve security, efficiency, and transparency in operations. 

Industry-Specific AI Solutions: We will see more tailored AI automation solutions designed for specific industries, such as AI-driven legal research tools, medical diagnostics automation, and AI-powered financial advisory services. 

AI is no longer a futuristic concept—it’s here, and it’s already transforming the way businesses operate. What’s exciting is that we’re still just scratching the surface. As AI continues to evolve, businesses will find new ways to automate, innovate, and create efficiencies that we can’t yet fully imagine. 

But while AI is streamlining processes and making work more efficient, it’s also reshaping what it means to be human in the workplace. As automation takes over repetitive tasks, employees will have more opportunities to focus on creativity, strategy, and problem-solving. The future of AI in business process automation isn’t just about doing things faster—it’s about rethinking how we work all together.

Learn more about DataPeak:

[butlerm]

Computer data Download/watch the looping video here: https://bit.ly/circuitBoard

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Secure and Scalable Cloud Server Management at Atcuality

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[hackeocafe]

Top 5 Cloud Computing Skills for 2025 (Salaries Included)

In this video, he share the top 5 Cloud Computing Skills for 2025, and he included all the salaries for these skills as well as the Cloud Computing Jobs you can apply for.