#Automated System

[mbblancobiz]

From Zero Followers to Daily Paying Customers: 3 Secrets to Earning $30K in 90 DaysWelcome to the replay of our highly anticipated webinar, "From Zero to Daily Paying Customers: 3 Secrets to Earning $30K in 90 Days with a Fully Automated Online Business"!In this webinar, we reveal the powerful strategies you need to:- Grow your online presence from zero followers to daily paying customers- Create a fully automated business that generates consistent income- Implement the 3 secrets to achieving $30K in just 90 days- If you missed the live session, don't worry! This replay gives you full access to all the insights, tips, and actionable steps you need to transform your online business.🚀 What You'll Learn:Proven methods to attract and convert followers into loyal customersHow to automate your business processes for maximum efficiency and profitStep-by-step guidance on earning $30K in 90 days with a strategic approach📈 Who This Webinar Is For:Aspiring entrepreneurs looking to start an online businessBusiness owners aiming to increase their customer base and revenueAnyone interested in achieving financial freedom through an automated online businessDon't forget to like, comment, and subscribe for more valuable content! If you have any questions or need further assistance, feel free to leave a comment or contact us directly.Stay connected with us:🌐 Website: https://www.bigbuckbusiness.com/Thank you for watching, and here's to your online business success!

[intellinetsystems]

A Guide to Organized Management of Spare Parts Returns

The high frequency of warranty parts returns has always been a concern for OEMs. In most cases, this is associated with an inefficient return management system. Most OEMs and suppliers already have a return management system, but it needs to be updated and has flaws. Manufacturers need an efficient return management process to manage costs and improve product quality. By identifying patterns…

[productiveandfree]

3 Common Logistics Pain Points (and Modern Solutions)

The logistics industry seems to be facing complications on all sides. Whether that’s navigating regulatory changes or avoiding resource-related bottlenecks, it’s crucial that those involved make use of the modern solutions we now have access to.

Luckily, these solutions are becoming increasingly competent at preventing or at least fixing all sorts of issues. From using AI to improve prediction models to improving order fulfilment accuracy, here are three modern solutions that you need to keep in mind over the coming year.

1.  Lack of foresight

One of the main issues in logistics lies in attempting to predict the future. This is a double-edged sword, involving both trying to predict future demand and trying to assess which suppliers will be able to meet those demands. When this goes wrong, issues can arise like bottlenecks or having much too much stock to fit in a warehouse.

A modern solution that’s risen to prominence in recent years is to use AI-powered data analysis tools to make these predictions. Combined with human insight, it’s often possible to sift through vast amounts of information and pick out trends that would otherwise go unnoticed.

2.  Inefficient warehouse management

Warehouses are the beating hearts of the logistics industry. There’s so much going on in these kinds of environments that it can be a huge struggle to keep everything moving, let alone keep things running in a highly efficient manner.

One of the single most effective ways of improving warehouse management efficiency is to implement some kind of automated system. Services such as Joloda Hydraroll specialise in designing and installing automated warehouse solutions, one of which might be perfect for your specific needs.

At the very least, it’s worth having an assessment carried out, to see if there’s a solution that might suit you well. Automated warehouse solutions may seem expensive at first, but they can often end up paying for themselves entirely in just a few years.

3.  Order fulfilment accuracy

Lastly, decreasing the number of incorrectly fulfilled orders is an issue that remains as relevant now as ever before. While the number of items being sent out every day is likely at a historic high, we now have access to so many technologies and tools that it’s relatively easy to get fulfilment rates to the levels you need.

This will often mean implementing a range of technological solutions like RFID tags, scanners, and warehouse management software and then integrating it all into a single management system. This allows you to keep track of everything from a single location, making it much less likely that orders go missing or get lost somewhere.

These pain points are felt across the logistics sector, and will often raise their heads in subtly different ways. By taking the time to work out how the issues you’re experiencing have arisen, you can decide whether solutions like these might provide you with an easy and convenient fix. Don’t just let them accumulate to a worrying state - constantly work on optimising your set up, and don’t allow yourself to fall behind.

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[compactdiscinteractive]

P.A.W.S.: Personal Automated Wagging System (Domestic Funk/Digital Garden/Organa, Mac/Windows/CD-i, 1995/1998)

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[shabinask]

Understanding Email Marketing’s Potential in Affiliate Marketing: A Revolutionary Approach to Success

The Foundation for Establishing Relationships and Trust

Problem: In the world of affiliate marketing, developing meaningful relationships and earning potential customers’ trust are ongoing challenges.

Solution: Email marketing offers an immediate method of communication that enables businesses to establish an emotional connection with their audience. Affiliates have the ability to develop relationships, offer useful information, and gradually establish trust by sending out modified and targeted emails.

CLICK HERE FOR MORE INFO

Personalized Campaigns for Higher Conversions

Problem: Lower conversion rates result from generic marketing messages frequent a failure to connect with a broad range of audiences.

Solution: Affiliates are able to develop highly customized campaigns with the help of email marketing systems. Businesses can personalize messages that speak directly to the needs and interests of individual customers and increase conversion rates by categorizing their audience based on preferences, behavior and demographics.

CLICK HERE FOR MORE INFO

Automated Workflows for Efficiency

Problem: It gets more difficult and time-consuming to manually handle communication with an expanding audience.

Specific Product Suggestions

Problem: One of the most frequent challenges in affiliate marketing is matching the right products with the right customers.

Solution: To make personalized product recommendations, email marketing systems can examine consumer behaviour and preferences. By presenting products that match individual interests, this personalized approach increases the chance of conversions.

Data-Informed Decision Making

Problem: Poor decision-making based on data and insights may prevent affiliate marketing strategies from being optimized.

Solution: Email marketing platforms offer useful performance metrics and analytics. Affiliates can use this information to evaluate the success of their campaigns, spot trends, and choose on actions that will improve overall performance.

Improved Connections and Engagement with Customers

Problem: Maintaining customers and increasing brand visibility require constant audience engagement.

Solution: Email campaigns can easily include interactive content like surveys, quizzes, and polls. This encourages two-way communication, which keeps clients interested and offers valuable feedback for future improvements.

Optimizing Through A/B Testing

Problem: Without testing, determining the best marketing tactics and components can be difficult.

Solution: Affiliates can run A/B tests on different components, including subject lines, content, and calls-to-action, using email marketing systems. This continuous procedure helps in optimizing campaigns for best results.

Smooth Coordination with Additional Marketing Channels

Problem: A broken consumer experience can result from marketing initiatives that are isolated across several platforms.

Solution: Social media and content marketing are two more channels that email marketing can be easily integrated with. This makes sure that the brand message is consistent and united, which increases the affiliate marketing strategy’s overall impact.

Monitoring of Regulatory Mandates

Problem: Businesses have serious concerns about complying with changing privacy and data protection laws.

Solution: Top email marketing platforms put compliance first by offering tools like GDPR-compliant consent forms and opt-out options. This guarantees that affiliates can create and manage email lists in a way that complies with the law.

CLICK HERE FOR MORE INFO

Conclusion

Affiliate marketing strategies that incorporate a strong email marketing system have the potential to completely transform the way businesses interact with their target audience. Email marketing becomes a flexible and vital tool for affiliates looking to succeed over the long term in the competitive digital market by tackling common problems and offering practical fixes.

CLICK HERE FOR MORE INFO

[frannyfelswen]

Very Interesting

[danieldavidreitberg]

AI Bias Mitigation: Ensuring Fairness in Automated Systems

In the ever-expanding landscape of artificial intelligence, the concept of fairness holds profound significance. In this article, Daniel Reitberg explores the critical issue of AI bias and the strategies employed to mitigate it, safeguarding the integrity and equity of automated systems.

The Unintended Consequences of AI

As AI technologies become increasingly integrated into our daily lives, they have the potential to either perpetuate or challenge existing biases. Daniel Reitberg underscores the need for vigilance, as AI systems can inadvertently learn and reproduce biased patterns present in historical data.

Recognizing Bias in AI

The first step in addressing bias is acknowledging its presence. Daniel Reitberg discusses how experts in the field are developing methods to identify bias within AI algorithms, including disparities in outcomes across different demographic groups.

Understanding the Origins of Bias

To effectively mitigate bias, one must comprehend its origins. Daniel Reitberg delves into how AI bias can emerge from biased training data, algorithmic design choices, or even from the data used to evaluate the system's performance.

Mitigating Bias Through Data Collection and Curation

Daniel Reitberg explores the proactive measures taken to mitigate bias at its source. This includes careful data collection and curation processes that aim to minimize historical biases and ensure that training data is more representative of diverse populations.

Algorithmic Fairness: Balancing the Scales

Balancing the scales of algorithmic fairness is a multifaceted endeavor. Daniel Reitberg discusses how AI researchers and engineers are developing algorithms that explicitly consider fairness constraints, reducing bias in decision-making processes.

Transparency and Accountability

Transparency is key to building trust in AI systems. Daniel Reitberg highlights the importance of clear documentation and accountability measures that allow for scrutiny and external audits of AI systems.

The Role of Diverse Perspectives

Diversity in AI development teams is essential. Daniel Reitberg underscores how a wide range of perspectives can help identify and rectify bias blind spots in AI systems, fostering more equitable outcomes.

Challenges and the Path Forward

Addressing AI bias is an ongoing challenge. Daniel Reitberg discusses the hurdles faced in mitigating bias effectively, from the scarcity of diverse datasets to the complexity of defining fairness itself.

The Imperative for Ethical AI

In conclusion, Daniel Reitberg's exploration of AI bias mitigation underscores the critical importance of ethical AI development. As AI becomes increasingly intertwined with our lives, ensuring fairness and equity in its application is not just a choice but an ethical imperative. By striving for fairness, transparency, and accountability, we can harness the power of AI to benefit all of humanity.

[lonelyslutavatar]

I've met a lot of nice people from this fandom and I'm glad I decided to explore my own identity through Jon and Martin instead of following whatever was fanon but I think the greater fandom as a whole has made me colder and more cynical. For a fandom that seems to desperately want to be seen as open and inclusive, it's ironic that I encountered the worst kind of acephobic ("you're depicting ace people wrong. Ace people should never experience sexual feelings."), racist ("Your Jon is the wrong race./You're drawing pocs wrong. His skin is not dark enough."), and transphobic ("you're not giving Martin dysphoria. All trans people should feel dysphoric or else they're not really trans.") policing just for drawing fanart. I mean, any fandom has its weirdos but I think tma has (or at least had) a high concentration of them.

Anyway, I'm glad I'm used to it now because people on youtube are 100x worse (though I think I can withstand outright bigotry than whatever the hell I experienced in this fandom)

[bixels]

As cameras becomes more normalized (Sarah Bernhardt encouraging it, grifters on the rise, young artists using it), I wanna express how I will never turn to it because it fundamentally bores me to my core. There is no reason for me to want to use cameras because I will never want to give up my autonomy in creating art. I never want to become reliant on an inhuman object for expression, least of all if that object is created and controlled by manufacturing companies. I paint not because I want a painting but because I love the process of painting. So even in a future where everyone’s accepted it, I’m never gonna sway on this.

if i have to explain to you that using a camera to take a picture is not the same as using generative ai to generate an image then you are a fucking moron.

[mostlysignssomeportents]

AI can’t do your job

I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me in SAN DIEGO at MYSTERIOUS GALAXY on Mar 24, and in CHICAGO with PETER SAGAL on Apr 2. More tour dates here.

AI can't do your job, but an AI salesman (Elon Musk) can convince your boss (the USA) to fire you and replace you (a federal worker) with a chatbot that can't do your job:

https://www.pcmag.com/news/amid-job-cuts-doge-accelerates-rollout-of-ai-tool-to-automate-government

If you pay attention to the hype, you'd think that all the action on "AI" (an incoherent grab-bag of only marginally related technologies) was in generating text and images. Man, is that ever wrong. The AI hype machine could put every commercial illustrator alive on the breadline and the savings wouldn't pay the kombucha budget for the million-dollar-a-year techies who oversaw Dall-E's training run. The commercial market for automated email summaries is likewise infinitesimal.

The fact that CEOs overestimate the size of this market is easy to understand, since "CEO" is the most laptop job of all laptop jobs. Having a chatbot summarize the boss's email is the 2025 equivalent of the 2000s gag about the boss whose secretary printed out the boss's email and put it in his in-tray so he could go over it with a red pen and then dictate his reply.

The smart AI money is long on "decision support," whereby a statistical inference engine suggests to a human being what decision they should make. There's bots that are supposed to diagnose tumors, bots that are supposed to make neutral bail and parole decisions, bots that are supposed to evaluate student essays, resumes and loan applications.

The narrative around these bots is that they are there to help humans. In this story, the hospital buys a radiology bot that offers a second opinion to the human radiologist. If they disagree, the human radiologist takes another look. In this tale, AI is a way for hospitals to make fewer mistakes by spending more money. An AI assisted radiologist is less productive (because they re-run some x-rays to resolve disagreements with the bot) but more accurate.

In automation theory jargon, this radiologist is a "centaur" – a human head grafted onto the tireless, ever-vigilant body of a robot

Of course, no one who invests in an AI company expects this to happen. Instead, they want reverse-centaurs: a human who acts as an assistant to a robot. The real pitch to hospital is, "Fire all but one of your radiologists and then put that poor bastard to work reviewing the judgments our robot makes at machine scale."

No one seriously thinks that the reverse-centaur radiologist will be able to maintain perfect vigilance over long shifts of supervising automated process that rarely go wrong, but when they do, the error must be caught:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

The role of this "human in the loop" isn't to prevent errors. That human's is there to be blamed for errors:

https://pluralistic.net/2024/10/30/a-neck-in-a-noose/#is-also-a-human-in-the-loop

The human is there to be a "moral crumple zone":

https://estsjournal.org/index.php/ests/article/view/260

The human is there to be an "accountability sink":

https://profilebooks.com/work/the-unaccountability-machine/

But they're not there to be radiologists.

This is bad enough when we're talking about radiology, but it's even worse in government contexts, where the bots are deciding who gets Medicare, who gets food stamps, who gets VA benefits, who gets a visa, who gets indicted, who gets bail, and who gets parole.

That's because statistical inference is intrinsically conservative: an AI predicts the future by looking at its data about the past, and when that prediction is also an automated decision, fed to a Chaplinesque reverse-centaur trying to keep pace with a torrent of machine judgments, the prediction becomes a directive, and thus a self-fulfilling prophecy:

https://pluralistic.net/2023/03/09/autocomplete-worshippers/#the-real-ai-was-the-corporations-that-we-fought-along-the-way

AIs want the future to be like the past, and AIs make the future like the past. If the training data is full of human bias, then the predictions will also be full of human bias, and then the outcomes will be full of human bias, and when those outcomes are copraphagically fed back into the training data, you get new, highly concentrated human/machine bias:

https://pluralistic.net/2024/03/14/inhuman-centipede/#enshittibottification

By firing skilled human workers and replacing them with spicy autocomplete, Musk is assuming his final form as both the kind of boss who can be conned into replacing you with a defective chatbot and as the fast-talking sales rep who cons your boss. Musk is transforming key government functions into high-speed error-generating machines whose human minders are only the payroll to take the fall for the coming tsunami of robot fuckups.

This is the equivalent to filling the American government's walls with asbestos, turning agencies into hazmat zones that we can't touch without causing thousands to sicken and die:

https://pluralistic.net/2021/08/19/failure-cascades/#dirty-data

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/2025/03/18/asbestos-in-the-walls/#government-by-spicy-autocomplete

Image: Krd (modified) https://commons.wikimedia.org/wiki/File:DASA_01.jpg

CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0/deed.en

--

Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[cubbihue]

So.... why'd Peri get assigned Dev as his first godchild?

Jorgen’s usually not the one in charge of assigning godchildren. There’s an entire department that weighs and classifies potentail Godkids to the right Fairy. Although it’s on strike at the moment.

So Jorgen has to do it by hand, until the union negotiations are resolved. Turns out trying to use paperclips is very hard. Itty bitty paperclips. Big muscular biceps. Not a good combo.

Bitties Series: [Start] > [Previous] > [Next]

Peri's Assignment: [Previous] > [Next]

[wan-deringperson]

its two months till june but wk has me by the throat i had no choice im sorry. this is like the best person-shaped thing i’ve drawn ever i don’t know how i feel

[dustykillz]

[DUST is currently unavailable, he will be available in 16 minutes..]

[This is an automated system, please refrain from messaging until dust returns]

*You can see that something is coming into your world, your path...it's a letter from somewhere you can't perceive or see...inside it is something written

"This letter may be late... but if it reaches a certain "Killer" I just wanted to say hi. I've read about you and your group. Sometimes I wonder if you're okay or need... well, help. I'm not well-known, and unfortunately, I can't make an appearance... but if I can give you something, I hope my sanctuary provides what you and the rest need."

-A worried goat, Coach Toriel from @ask-cagestale

A letter?

*you read the letter*

Uh- Toriel?

...

W-What do you mean give us something?

TW: Depressive thoughts????

<It was your fault, they are gone and you did this, you killed them- it was your faultyourfaultyourfault->

[compactdiscinteractive]

P.A.W.S.: Personal Automated Wagging System (Domestic Funk/Digital Garden/Organa, Mac/Windows/CD-i, 1995/1998)

Posted using PostyBirb