#Distribution automation

[researchinenergyandpower]

The global distribution automation market is estimated to be valued at USD 20.56 billion in 2025 and is projected to reach USD 40.40 billion by 2030, growing at a CAGR of 14.5%.

[dsiddhant]

Distribution Automation Market in terms of revenue was estimated to be worth $19.3 billion in 2024 and is poised to reach $36.5 billion by 2029, growing at a CAGR of 13.6% from 2024 to 2029 according to a new report by MarketsandMarkets™.

Distribution automation (DA) refers to a collection of technologies, strategies, and practices used by electric utilities to improve the efficiency, reliability, and safety of their power distribution networks. It essentially involves automating various tasks and processes within the distribution system. The Distribution Automation Market has promising growth potential due to the factors such as increase in need to optimize power distribution, reduce energy waste and improve system performance & increase in need for the integration of renewable energy sources.

[manmishra]

🚀 Explore how AI can transform your B2B marketing strategy! Discover actionable tactics to enhance buyer engagement and create personalized experiences. Dive into AI-driven buyer-centric strategies today! #B2BMarketing #AI #BuyerEngagement #DigitalMarketing

[queen-mabs-revenge]

ok the second last chapter was the best one because in fairness it actually did address encoded biases in both generative and predictive AI datasets and violent outcomes for oppressed groups in policing, healthcare, resource distribution, etc. and it did make mention of the horrific exploitation of workers in the neocolonial world in cleaning datasets, moderating virtual spaces, tagging, transcribing, and other digital sweatshop work.

but the problem is that the solutions offered are more women in STEM and better regulations... with the end goal always always always of accepting and facilitating the existence and forward motion of these technologies, just with more equitable working conditions and outcomes. early in the book, there's a great aside about how generative AI being used for new forms of image based sexual abuse causes incredible harm to those who experience misogyny and also is gobbling up energy and water at exponential rates to do so. but that environmental angle gets a few sentences and is never spoken of again in favour of boosting a kinder, more inclusive inevitable AI inundated future.

but like — the assumption that these technologies are both inevitable and reformable makes all the solutions offered untethered and idealistic!

profit is mentioned throughout the book, but the system of profit generation isn't mentioned by name once. so the problems of some machine learning systems get attributed to patriarchy and profit as if those two things are separate and ahistorical, instead of products of class society with its most recent expression in capitalism.

but yeah I mean it's not presenting itself as a Marxist analysis of AI and gendered violence so I know I'm asking it to do things it was never setting out to do. but still, it's wild how when you start to criticise technology as having class character it becomes glaring how few critiques of AI, both generative and predictive, are brave enough to actual state the obvious conclusions: not all technology can be harnessed to help the collective working class. some technology is at its root created to be harmful to the collective wellbeing of the working class and the natural ecosystems we are in and of.

technology isn't inherently agnostic. it isn't neutral and then progressive if harnessed correctly, and that idealist vision is only going to throw the people and entities capitalism most exploits into the furnace of the steam engine powering the technocapitalist death drive.

you can't build a future without misogyny using tools designed to capitalise on increasingly granular data gathered from ever-increasing tools of surveillance, to black-box algorithmic substitutions for human interaction and knowledge, to predate on marginalised communities to privatise and destroy their natural resources and public services, and to function on exploited labour of unending exposure to the most traumatising and community-destroying content. and we have to be ruthless in our analysis to determine which AI technologies are designed and reliant on those structures — because not all are!

you have to be brave enough to go through all that analysis and say the thing: if we want a future of technological progress that is actually free from misogyny, we can't build it with those tools that are built by and for the capitalist class and are inextricable from their interests and the oppression of other groups of people that capitalism needs to perpetuate.

some technology is not fit for purpose if our purpose is collective liberation.

[magtecbusinesssolutions]

Tired of paper piles? 🚫 Go paperless with Magtec ERP Software! 💻 Streamline your workflow and boost efficiency. It's time to embrace the digital future.

[disgruntledexplainer]

AI

i think a lot of people really misunderstand what the actual threat that "AI" poses is. AI is not going to try to wipe us out for any reason intrinsic to it, because AI is not capable of having intrinsic motivation (thankfully). rather, AI is a problem because it increases the power of those already powerful, and further marginalizes anyone who isn't powerful. In other words, the problem with AI isn't AI itself, the problem is those who use it, who are altogether too human.

Two major threats come to mind, both of them incredibly obvious when you think about it.

First, corporations will naturally favor any innovation which cuts costs or gives them an edge over their competition, regardless of the consequences to both their workers and their customers. Those in charge of the corporation will always seek to automate any part of the company that isn't them to cut costs, even if it is significantly less efficient or more infuriating to work with. This means that, as with the agricultural revolution and the various periods of automation during the industrial revolution, we are on the cusp of a massive loss of employment across all sectors as humans are replaced with machines.

however, this will be worse than previous periods, because while in previous centuries the removal of some jobs would introduce new jobs to replace them, such will likely not be the case for jobs replaced by AI. Further, certain occupations which we had assumed would be safe have turned out to not be safe from automation at all. Nobody seemed to care about how automation will destroy jobs until "AI art" became a thing, and do you know why? because everyone assumed that creative work was safe. and while algorithms cannot truly match an actual gifted artist in skill and creativity, it doesn't need to, because it's just more convenient, and much more cost-efficient to generate an image procedurally rather than commission it.

maybe next time the art community will take the threats posed to the working class by automation more seriously smh. But i guess it's too late now.

And when I say that corporations will replace humans regardless as to it's efficiency, I mean it. Have you noticed that almost no major company has an actually useful customer support system any more? it's all automated, and it's all useless. Some companies are flat out just not hiring humans for customer support any more, instead relying on a series of generic automated response trees that do nothing to solve the problem and just make the customer angry. What's to stop them from doing the same thing, but with everything from marketing to janitorial work?

AI will continue to replace jobs over and over again until the only jobs left will be the ones that are actually doing the replacement themselves. In other words, at a certain point we will reach a point where the only jobs are government jobs, high-level corporate jobs, and the engineers who are designing the AIs. And if any engineer is stupid enough to design an AI that can design other AIs, that job may be gone too.

the other major problem with AI is what happens when it gets into the hands of government agencies. Which it already has, to an extent. We have been using simple, dumb AI in drone targeting systems for quite awhile now. Despite the fact that it doesn't really work and gets civilians killed more often than not, governments still use this software because it doesn't put their own men at risk. Likewise, the government will almost certainly begin employing robotic soldiers as soon as they become available, even if they don't work very well, because it means they aren't putting their own people at risk. But often in war you need people to be there, in order to make judgement calls. What if a lazy commander tells the machines to "kill everyone in that bunker", but the bunker turns out to be a civilian residence and now dozens of civilians have been killed? The issue here is that AI WILL obey whoever orders it to do something, regardless as to if the order makes any sense or has been negated by unforeseen circumstances.

all this to say that if AI destroys civilization as we know it, it will be because humans told it to. in order to survive, we must restructure society, remove the focus from profit and place it on human dignity. We must deliberately employ people even if it would be cheaper not to do so, because not doing so will have horrific repercussions. Also because it's the right thing to do.

while we're at it, it would probably be best to decentralize government and corporations so they don't get the chance to do something like this. *cough distributism cough principle of subsidiarity cough*

[glancetelecom]

Businesses seeking to leverage this power can achieve transformative results by prioritizing quality assurance (QA) practices. Integrating real-time analytics allows for continuous improvement, while a strong focus on call center compliance ensures every interaction meets the highest standards. Click Here To Read More: https://rb.gy/p4nen1

[ivygorgon]

Let the choir say amend!!

[rich4a1]

Take Back Your Time: How Beatchain Lets Indie Artists Focus on the Music

Making a Scene Presents – Take Back Your Time: How Beatchain Lets Indie Artists Focus on the Music Imagine you’re a DIY musician. You pour your heart and sweat into recording, rehearsing, and performing, but when it comes to marketing—posting, tracking, boosting—you hit a wall. That’s where Beatchain steps in as your behind‑the‑scenes partner, freeing you from monotonous admin work and turning…

[zylemseo]

Secondary sales tracking refers to the process of capturing, analyzing, and managing sales data that occurs beyond the company’s direct sale—i.e., from distributor to retailer, or retailer to consumer.

In a multi-tiered distribution setup, especially in industries like FMCG, pharma, electronics, or consumer goods, secondary sales are a crucial metric. They help answer key questions like:

Which products are selling at the retailer level?

Which regions or outlets are underperforming?

Are sales incentives translating into actual ground movement?

How fast is inventory turning over?

Without these insights, businesses often find themselves overproducing some SKUs and understocking others, misallocating marketing spend, and losing sight of market demand.

[bhagyashri123]

Sales Admin & Analytics: Fuel Your GTM Strategy

Unlock the full potential of your Go-to-Market strategy with powerful Sales Admin and Analytics tools. Track performance, manage targets, and turn field insights into real business growth. From streamlined sales operations to real-time dashboards—drive smarter decisions, faster execution, and consistent success.

[researchinenergyandpower]

The global Distribution Automation Market is anticipated to grow from estimated USD 20.56 billion in 2025 to USD 40.40 billion by 2030, at a CAGR of 14.5% during the forecast period. The Distribution Automation Market is expanding rapidly due to the global shift towards improved and more robust power grids. There is increased expenditure on grid modernization, including renewable energy sources, and there is increased demand for real-time information and control. This is enabling more individuals to utilize distribution automation technologies.

[10bmnews]

Future of work: Zoho’s Sridhar Vembu says AI job loss isn’t the threat—economic distribution is - Times of India

As artificial intelligence and automation continue to reshape industries, the real challenge lies not in job displacement but in ensuring fair access to the wealth created by machines, Zoho cofounder Sridhar Vembu has said.In a hypothetical future where software development becomes fully automated—a possibility Vembu believes is still distant—millions of engineers could lose their jobs. However,…

[sammoderator]

Automated Winding Solutions for Distribution Transformers

A distribution transformer winding machine is a specialized piece of equipment required for manufacturing the coils found in distribution transformers, which are critical to reliable energy transfer across the electrical grid. These machines automate the process of winding copper or aluminium wire or foil around a coil form. Such winding will result in precise layering, consistent tension, and optimal insulation factors that directly impact transformer performance and longevity.

Modern distribution transformer winding machines are equipped with advanced features such as programmable controls, automated tension systems, and precision wire guide mechanisms. This automation not only speeds up production but also minimizes human error. By doing that, companies can achieve high-quality coils with uniform winding and improved reliability. Technologies like strip insulation and flattening units further improves the process by opting for compact coil designs and robust insulation. These processes are essential for withstanding operational voltages and environmental stresses.

These machines are highly versatile and can accommodate various coil sizes and types. These also includes those for low-voltage (LT) and high-voltage (HV) applications. They are widely used in the production of distribution transformers for power utilities, industrial facilities, and infrastructure projects, as well as in control transformers and electronic devices. The integration of counters, sensors, and user-friendly software interfaces provide precise control over winding parameters, including the number of turns to wire diameter and insulation layering.

In summary, distribution transformer winding machines play a pivotal role in the power sector by delivering efficient, accurate, and scalable solutions for transformer coil production. This ultimately supports the stability and reliability of electrical distribution networks worldwide.

[simrantheresearchinsights]

[subhasree12]

Microgrid Solutions India – A Sustainable Project by Subhasree

Subhasree is driving innovation in Power Distribution Automation across India, delivering smarter, more efficient, and reliable electrical networks. This project showcases our commitment to modernizing infrastructure with cutting-edge automation technology.

Know More:- https://subhasree.in/