#real-time data pipeline
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Moolamore data integration and analysis with leading accounting software
In today's fast-paced business world, having an accurate, up-to-date picture of your ins and outs can mean the difference between flourishing and barely scraping by.

Good thing there's Moolamore—a powerful solution designed to help you seamlessly integrate and analyze real-time data, providing your SMEs with the information they need to stay ahead and resilient in any economic climate. Make sure you keep reading this blog!
#real-time data integration#real-time data analysis#real-time data processing#real-time data pipeline#real-time data analytics#real-time data visualization
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Real-time collaboration between on-site crews and remote experts becomes smoother with mobile apps. As data is logged, remote teams can offer immediate recommendations, reducing guesswork and improving accuracy. Ultimately, mobile apps reduce non-productive time (NPT), optimize resource use, and ensure better compliance with environmental and safety standards.
#mobile apps for oil and gas industry#oil and gas field service mobile apps#real-time data apps for oil industry#mobile inspection apps for gas pipelines
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#DevOps in healthcare IT#Fault-tolerant system design#Healthcare data continuity#Real-time healthcare data pipelines#Healthcare system downtime impact
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Unveiling the Power of Delta Lake in Microsoft Fabric
Discover how Microsoft Fabric and Delta Lake can revolutionize your data management and analytics. Learn to optimize data ingestion with Spark and unlock the full potential of your data for smarter decision-making.
In today’s digital era, data is the new gold. Companies are constantly searching for ways to efficiently manage and analyze vast amounts of information to drive decision-making and innovation. However, with the growing volume and variety of data, traditional data processing methods often fall short. This is where Microsoft Fabric, Apache Spark and Delta Lake come into play. These powerful…
#ACID Transactions#Apache Spark#Big Data#Data Analytics#data engineering#Data Governance#Data Ingestion#Data Integration#Data Lakehouse#Data management#Data Pipelines#Data Processing#Data Science#Data Warehousing#Delta Lake#machine learning#Microsoft Fabric#Real-Time Analytics#Unified Data Platform
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AI hasn't improved in 18 months. It's likely that this is it. There is currently no evidence the capabilities of ChatGPT will ever improve. It's time for AI companies to put up or shut up.
I'm just re-iterating this excellent post from Ed Zitron, but it's not left my head since I read it and I want to share it. I'm also taking some talking points from Ed's other posts. So basically:
We keep hearing AI is going to get better and better, but these promises seem to be coming from a mix of companies engaging in wild speculation and lying.
Chatgpt, the industry leading large language model, has not materially improved in 18 months. For something that claims to be getting exponentially better, it sure is the same shit.
Hallucinations appear to be an inherent aspect of the technology. Since it's based on statistics and ai doesn't know anything, it can never know what is true. How could I possibly trust it to get any real work done if I can't rely on it's output? If I have to fact check everything it says I might as well do the work myself.
For "real" ai that does know what is true to exist, it would require us to discover new concepts in psychology, math, and computing, which open ai is not working on, and seemingly no other ai companies are either.
Open ai has already seemingly slurped up all the data from the open web already. Chatgpt 5 would take 5x more training data than chatgpt 4 to train. Where is this data coming from, exactly?
Since improvement appears to have ground to a halt, what if this is it? What if Chatgpt 4 is as good as LLMs can ever be? What use is it?
As Jim Covello, a leading semiconductor analyst at Goldman Sachs said (on page 10, and that's big finance so you know they only care about money): if tech companies are spending a trillion dollars to build up the infrastructure to support ai, what trillion dollar problem is it meant to solve? AI companies have a unique talent for burning venture capital and it's unclear if Open AI will be able to survive more than a few years unless everyone suddenly adopts it all at once. (Hey, didn't crypto and the metaverse also require spontaneous mass adoption to make sense?)
There is no problem that current ai is a solution to. Consumer tech is basically solved, normal people don't need more tech than a laptop and a smartphone. Big tech have run out of innovations, and they are desperately looking for the next thing to sell. It happened with the metaverse and it's happening again.
In summary:
Ai hasn't materially improved since the launch of Chatgpt4, which wasn't that big of an upgrade to 3.
There is currently no technological roadmap for ai to become better than it is. (As Jim Covello said on the Goldman Sachs report, the evolution of smartphones was openly planned years ahead of time.) The current problems are inherent to the current technology and nobody has indicated there is any way to solve them in the pipeline. We have likely reached the limits of what LLMs can do, and they still can't do much.
Don't believe AI companies when they say things are going to improve from where they are now before they provide evidence. It's time for the AI shills to put up, or shut up.
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The Story of KLogs: What happens when an Mechanical Engineer codes
Since i no longer work at Wearhouse Automation Startup (WAS for short) and havnt for many years i feel as though i should recount the tale of the most bonkers program i ever wrote, but we need to establish some background
WAS has its HQ very far away from the big customer site and i worked as a Field Service Engineer (FSE) on site. so i learned early on that if a problem needed to be solved fast, WE had to do it. we never got many updates on what was coming down the pipeline for us or what issues were being worked on. this made us very independent
As such, we got good at reading the robot logs ourselves. it took too much time to send the logs off to HQ for analysis and get back what the problem was. we can read. now GETTING the logs is another thing.
the early robots we cut our teeth on used 2.4 gHz wifi to communicate with FSE's so dumping the logs was as simple as pushing a button in a little application and it would spit out a txt file
later on our robots were upgraded to use a 2.4 mHz xbee radio to communicate with us. which was FUCKING SLOW. and log dumping became a much more tedious process. you had to connect, go to logging mode, and then the robot would vomit all the logs in the past 2 min OR the entirety of its memory bank (only 2 options) into a terminal window. you would then save the terminal window and open it in a text editor to read them. it could take up to 5 min to dump the entire log file and if you didnt dump fast enough, the ACK messages from the control server would fill up the logs and erase the error as the memory overwrote itself.
this missing logs problem was a Big Deal for software who now weren't getting every log from every error so a NEW method of saving logs was devised: the robot would just vomit the log data in real time over a DIFFERENT radio and we would save it to a KQL server. Thanks Daddy Microsoft.
now whats KQL you may be asking. why, its Microsofts very own SQL clone! its Kusto Query Language. never mind that the system uses a SQL database for daily operations. lets use this proprietary Microsoft thing because they are paying us
so yay, problem solved. we now never miss the logs. so how do we read them if they are split up line by line in a database? why with a query of course!
select * from tbLogs where RobotUID = [64CharLongString] and timestamp > [UnixTimeCode]
if this makes no sense to you, CONGRATULATIONS! you found the problem with this setup. Most FSE's were BAD at SQL which meant they didnt read logs anymore. If you do understand what the query is, CONGRATULATIONS! you see why this is Very Stupid.
You could not search by robot name. each robot had some arbitrarily assigned 64 character long string as an identifier and the timestamps were not set to local time. so you had run a lookup query to find the right name and do some time zone math to figure out what part of the logs to read. oh yeah and you had to download KQL to view them. so now we had both SQL and KQL on our computers
NOBODY in the field like this.
But Daddy Microsoft comes to the rescue
see we didnt JUST get KQL with part of that deal. we got the entire Microsoft cloud suite. and some people (like me) had been automating emails and stuff with Power Automate
This is Microsoft Power Automate. its Microsoft's version of Scratch but it has hooks into everything Microsoft. SharePoint, Teams, Outlook, Excel, it can integrate with all of it. i had been using it to send an email once a day with a list of all the robots in maintenance.
this gave me an idea
and i checked
and Power Automate had hooks for KQL
KLogs is actually short for Kusto Logs
I did not know how to program in Power Automate but damn it anything is better then writing KQL queries. so i got to work. and about 2 months later i had a BEHEMOTH of a Power Automate program. it lagged the webpage and many times when i tried to edit something my changes wouldn't take and i would have to click in very specific ways to ensure none of my variables were getting nuked. i dont think this was the intended purpose of Power Automate but this is what it did
the KLogger would watch a list of Teams chats and when someone typed "klogs" or pasted a copy of an ERROR mesage, it would spring into action.
it extracted the robot name from the message and timestamp from teams
it would lookup the name in the database to find the 64 long string UID and the location that robot was assigned too
it would reply to the message in teams saying it found a robot name and was getting logs
it would run a KQL query for the database and get the control system logs then export then into a CSV
it would save the CSV with the a .xls extension into a folder in ShairPoint (it would make a new folder for each day and location if it didnt have one already)
it would send ANOTHER message in teams with a LINK to the file in SharePoint
it would then enter a loop and scour the robot logs looking for the keyword ESTOP to find the error. (it did this because Kusto was SLOWER then the xbee radio and had up to a 10 min delay on syncing)
if it found the error, it would adjust its start and end timestamps to capture it and export the robot logs book-ended from the event by ~ 1 min. if it didnt, it would use the timestamp from when it was triggered +/- 5 min
it saved THOSE logs to SharePoint the same way as before
it would send ANOTHER message in teams with a link to the files
it would then check if the error was 1 of 3 very specific type of error with the camera. if it was it extracted the base64 jpg image saved in KQL as a byte array, do the math to convert it, and save that as a jpg in SharePoint (and link it of course)
and then it would terminate. and if it encountered an error anywhere in all of this, i had logic where it would spit back an error message in Teams as plaintext explaining what step failed and the program would close gracefully
I deployed it without asking anyone at one of the sites that was struggling. i just pointed it at their chat and turned it on. it had a bit of a rocky start (spammed chat) but man did the FSE's LOVE IT.
about 6 months later software deployed their answer to reading the logs: a webpage that acted as a nice GUI to the KQL database. much better then an CSV file
it still needed you to scroll though a big drop-down of robot names and enter a timestamp, but i noticed something. all that did was just change part of the URL and refresh the webpage
SO I MADE KLOGS 2 AND HAD IT GENERATE THE URL FOR YOU AND REPLY TO YOUR MESSAGE WITH IT. (it also still did the control server and jpg stuff). Theres a non-zero chance that klogs was still in use long after i left that job
now i dont recommend anyone use power automate like this. its clunky and weird. i had to make a variable called "Carrage Return" which was a blank text box that i pressed enter one time in because it was incapable of understanding /n or generating a new line in any capacity OTHER then this (thanks support forum).
im also sure this probably is giving the actual programmer people anxiety. imagine working at a company and then some rando you've never seen but only heard about as "the FSE whos really good at root causing stuff", in a department that does not do any coding, managed to, in their spare time, build and release and entire workflow piggybacking on your work without any oversight, code review, or permission.....and everyone liked it
#comet tales#lazee works#power automate#coding#software engineering#it was so funny whenever i visited HQ because i would go “hi my name is LazeeComet” and they would go “OH i've heard SO much about you”
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A new study by researchers at Zhejiang University has highlighted the disproportionate health challenges faced by sexual and gender-diverse (SGD) individuals during the COVID-19 pandemic. By analyzing over 471 million tweets using advanced natural language processing (NLP) techniques, the study reveals that SGD individuals were more likely to discuss concerns related to social connections, mask-wearing, and experienced higher rates of COVID-19 symptoms and mental health issues than non-SGD individuals. The study has been published in the journal Health Data Science.
The COVID-19 pandemic has exposed and intensified health disparities, particularly for vulnerable populations like the sexual and gender-diverse (SGD) community. Unlike traditional health data sources, social media provides a more dynamic and real-time reflection of public concerns and experiences. Zhiyun Zhang, a Ph.D. student at Zhejiang University, and Jie Yang, Assistant Professor at the same institution, led a study that analyzed large-scale Twitter data to understand the unique challenges faced by SGD individuals during the pandemic.
To address this, the research team used NLP methods such as Latent Dirichlet Allocation (LDA) models for topic modeling and advanced sentiment analysis to evaluate the discussions and concerns of SGD Twitter users compared to non-SGD users. This approach allowed the researchers to explore three primary questions: the predominant topics discussed by SGD users, their concerns about COVID-19 precautions, and the severity of their symptoms and mental health challenges.
The findings reveal significant differences between the two groups. SGD users were more frequently involved in discussions about "friends and family" (20.5% vs. 13.1%) and "wearing masks" (10.1% vs. 8.3%). They also expressed higher levels of positive sentiment toward vaccines such as Pfizer, Moderna, AstraZeneca, and Johnson & Johnson. The study found that SGD individuals reported significantly higher frequencies of both physical and mental health symptoms compared to non-SGD users, underscoring their heightened vulnerability during the pandemic.
"Our large-scale social media analysis highlights the concerns and health challenges of SGD users. The topic analysis showed that SGD users were more frequently involved in discussions about 'friends and family' and 'wearing masks' than non-SGD users. SGD users also expressed a higher level of positive sentiment in tweets about vaccines," said Zhiyun Zhang, the lead researcher. "These insights emphasize the importance of targeted public health interventions for SGD communities."
The study demonstrates the potential of using social media data to monitor and understand public health concerns, especially for marginalized communities like SGD individuals. The results suggest the need for more tailored public health strategies to address the unique challenges faced by SGD communities during pandemics.
Moving forward, the research team aims to develop an automated pipeline to continuously monitor the health of targeted populations, offering data-driven insights to support more comprehensive public health services.
More information: Zhiyun Zhang et al, Sexual and Gender-Diverse Individuals Face More Health Challenges during COVID-19: A Large-Scale Social Media Analysis with Natural Language Processing, Health Data Science (2024). DOI: 10.34133/hds.0127 spj.science.org/doi/10.34133/hds.0127
#mask up#covid#pandemic#wear a mask#public health#wear a respirator#covid 19#still coviding#coronavirus#sars cov 2
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Seen this mentioned by aces but at least for me this applies to both being ace and being aro so:
Aro culture is thinking I'm bi for a really long time because of a mix of allonormativity and amatonormativity hence convincing myself I have several crushes because that's what everyone else was doing in middle and high school so you should be having crushes too. And since most if not all of these crushes are aesthetic attraction, platonic attraction, or really just stretching to say I have a crush so I don't seem weird, well, it's not that hard to imagine how I convinced myself I was bi. Because since they weren't real romantic crushes I couldn't and I suppose that if I sought a label I'd be pan or biplatonic then yeah I was confusing platonic for romantic so pretty easy to think I was bi.
Even after I learned I'm ace and demiromantic it took me years to realize I'm not bi. Like I only accepted it a couple months ago. It was a whole mess because I'd called myself bi for 6 years and also I had this weird anxiety because biphobes always say bis will "choose a side" and that's kinda what I felt like was happening when I realized I'm heteroromantic but now that I'm through that I actually feel really comfortable now.
Also considering that maybe I'm not demiromantic and am rather greyromantic or something like that. Turns out I've only had one IRL crush ever. Thought I was demiromantic before because I'd have friends then convince myself after a while it was a crush. But now that I know I've had 1 IRL crush (also only 2 fictional crushes) I don't know if I necessarily have enough data if that makes sense. Because I'm a very friendly person so the fact I haven't had any other crushes suggests that maybe it's not that I need a close bond but that I just don't experience this attraction a lot. But who knows 🤷. And im not too worried. I remember debating between demi & grey years ago too. Either way I'm still aro & I'm okay with either or. Guess we'll see what happens in the future.
But yeah sorry for the rant. But I see aces talking about the bi to ace pipeline but I at least def experienced a bi to aro pipeline alongside that.
yeah the multi-spec attraction to a-spec "wait same amounts of attraction, wait, zero = zero" pipeline is real
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I did a bit of de novo genome assembly way, way back in the day which I have never been able to use professionally because my PI refused to spend $2000 more on getting new read depth. He had ordered the reads before actually learning anything about the pipeline and only about half of the libraries he had ordered were usable in any given pipeline, see. (Some had been for older assembly methods and others had been for newer ones, basically.)
Rather than find the money to fucking get me the reads to do it right, he heard about an open source project called RACA that was some dude's dissertation arguing that you COULD use some of the worthless libraries to fill in the gaps of the assembly and get a functional genome out of it. I spent two years trying to move massive quantities of data through that fuckhead's pipeline on the campus supercomputer to get the assembled genome out, and then I got to the end and found there was no output as fastq files or ant other format recognizable to me.
(Give me a break, I was 23 and had also been frantically learning acoustic analysis, basic electrical engineering, and technical equipment maintenance in the two years since I had started learning to code. Plus I was figuring out what I wanted my dissertation to be. I'd never grappled with anything more complicated than our home-written library of matlab acoustic analysis before, and it simply hadn't occurred to me that anyone would publish a non-functional pipeline to achieve a goal quickly anyone verifying that anyone else had done anything yet.)
Anyway, eventually he collaborated with someone else who ponied up $2000 and a postdoc to get new reads. My name was not on the paper, so that's two years of my life developing a particular and fairly unique skill set that I will almost certainly never use.
In retrospect it's less surprising than you might think that the PhD took eight years and absolutely shattered my confidence.
And the best part is that it was just about impossible to predict at the time that shit would go quite this bad, except that some people handle power well when they're stressed and some people maintain a strong layer of cognitive dissonance over their knowledge of power such that it's never real enough to be responsible about but always real enough to win a dispute.
Anyway I think every student should have two advisors so that everyone in the department should have to immediately know about it when a PI is floundering and have a strong direct incentive to do something about it. A LOT of my problems could have been fixed with one look with a gimlet eye from a senior, more experienced researcher being not impressed at a student under their supervision running on an endless treadmill to nothing. Frankly a lot of my problems could have been solved if my mentor had formal training or literally any supervision that could deliver metrics faster than "how close am I to my previous mentees?"
I know a lot of dual advised students wind up in a tug of war between two advisors, but like: that's the point. If one of them turns out to be insane and malicious then a) the students all have clear lines to bail, b) the other ones all realize quickly that bailing out the chaos and career damage of someone who is fucking it up is way more work than resolving the problem, and c) the one with more tethers to reality has a way bigger likelihood of formally retaining the student when and if a third party has to examine the contract.
Just. It was such a fucking waste. And not because anyone necessarily wanted it to be wasteful, either, or any malice, but because I was... mm, I think the fifth PhD student in that lab and that's actually not that many to be learning on. Systems that set you up to play with decades of people's lives should have more fail-safes and places for people to learn before they get to be the sole director of someone else's career for five fucking years, not less. And yet!
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Itachi is a Weird Kid(tm)
These need to exit my tired brain so I am releasing the wild, naked baby plot bunnies upon ye:
Some of these points are paragraphs because that’s just my style, but this one’s not super long (for me 😅) so I’ll leave it no-cut.
He is more fond of plants and birds than people. That he’s an introvert surprises nobody but it’s worth mentioning.
He doesn’t know how to have a “normal”conversation with normal people; he’s been so conditioned by his Shinobi centric/Child soldier life that he literally doesn’t know how to talk to civilians at their level, so to speak. An ordinary conversation about ordinary, every day things is either boring and meaningless, or completely lost on him in most cases.
He is somewhat accidentally piscivarian/ predominantly vegetarian. This is more an observation of canon than a HC. His character/data sheet does mention that he’s fond of vegetables, particularly crunchy ones like cabbage and peppers, and utterly hates red meat, but we do see him eating fish and I don’t think he’d be opposed to chicken or eggs either, whatever that would make him. (I could go on and on about how this, among other things, queer codes tf out of him, but I will refrain)
To that effect, he has absolutely stellar foraging skills, particularly with regards to edible and medicinal plants. He could survive on his own for quite some time if he needed to, and I suspect he did for a while before joining the Akatsuki.
Many of Itachi’s “weaknesses” in fact make him more dangerous, not less — that is to say, they make him unpredictable. To whit, in my opinion, his weaknesses are:
Small Children (protective brother instinct, or maybe a paternal one) — these will give him pause in most situations, but lord help whoever thinks it’s a good idea to try using that against him. He will do anything he can to avoid hurting or killing a child, but that does not work out to mean they make good leverage — he’s much too clever and knows how to put on a show to fake his opponents out a little too well. He’s not necessarily afraid to frighten a child either if it means they live to see another day, though if it can be avoided all the better. But what makes it dangerous is that his whole disposition changes when there’s children involved. If you don’t know him well one might not notice, but it’s a palpable change, a charged kind of energy he doesn’t typically have otherwise — an opponents threat level to him personally ceases to matter quite as much as their relative threat to the child. One of the few situations in which he might go out of his way to start a fight with a civilian or other typical non-combatant.
His Stress Response: Itachi is not someone who ever had the option to flee in most cases as a child. So he’s developed a Freeze-Fight pipeline. When confronted with something that scares him, he will, situationally, freeze, first — not bad for a Shinobi, really, as freezing makes one less noticeable and might give one time to assess. Given the option, he would like to do that, but in the event he can not, whether because the opponent is moving or the situation is overwhelming or too stressful, he will immediately switch to Fight. Good when you’re being attacked. Not so good when the PTSD flashbacks get you or a nightmare wakes you up ready to throw hands. The real danger of the Freeze-Fight pipeline is that it presents the illusion that his Threshold of Tolerance is higher than it actually is; He can therefore seem very, explosively unpredictable when he’s under extreme stress. If he’s actually terrified, you will not typically know it until he is so scared he lashes out. And the lash-out/freak out might seem disproportionate as a result of whatever is going on in his head.
6. He is surprisingly invisible. Despite being an Uchiha, despite having a widely known name, despite having fairly wide ranging reputation, he can be very effective as an undercover agent because he just… blends in. He’s not loud. He’s not aggressive. He’s not very noticeable at all, especially without his cloak. Adding to this, I personally believe in making him at least partially abide by his name, and thus posit that he has an unusual gift for the use of Henge, despite canon not mentioning it. It would be all too suitable for someone named after a shape-shifter to be skilled in the art of transforming himself into not only other people, but animals as well (which is supposedly the hardest kind of Henge to accomplish consistently).
7. He is…basically a cat, lol. Is borderline obsessively clean, keeps things tidy, doesn’t like being touched without permission, is moody as all hell, and very…demanding, in his own quiet way. Communicates with his body language more than one would assume, in that if he’s there, he’s there for a reason. Example being if he wanted to comfort someone— rather than making a fuss over them he’d probably just offer his company by moving closer, paralleling, etc. giving them space to bring it up or set it down. He never had much personal freedom as a kid, so he tries to be generous with others and not pry into their business unless he really needs to. He also communicates with his body in other ways related to staging — where he is in proximity to others — by drifting closer to those he trusts and keeping away from those he does not, I.e if he were traveling with a contractor or other akatsuki members in addition to his own partner, he may drift toward Kisame and stay next to him as opposed to trying to be in any particular position within the group.
8. This one’s more focused on other characters perception of him, but he is Weird in that for all his nasty reputation and abilities, he’s very demure and non-confrontational. He would rather not use his powers if he doesn’t strictly need to, and with regards to wayward animals he’s quite gentle, when he can afford to be.
9. On that note: his crows are his family damn near. He inherited these crows from Shisui, so they mean a good deal to him on the whole, although he will sacrifice them if he has to. But this is something he does with deep regret and respect, and the crows are just smart enough to sort of understand. They love him, he is their flock friend, and they will defend him/look after him of their own volition to the best of their ability. He could use his sharingan to trick them, and will if he must, but crows are much too clever to make a habit of it; it’s better for everyone if he goes out of his way to be their friend. Crows are a very difficult familiar/summons to have, because they’re insanely smart for an animal and they communicate with each other much like people do. You’ve no choice but to carefully cultivate your relationship with them, because if they decide they don’t like you, they will never let you forget it. They’re perfect for someone who is meticulous and kind like Itachi. You can not be mean or careless to a crow and expect them to forgive you.
I’m sure I’ll think of more, but until then Enjoy.
And please, Anti people of any flavor, don’t even bother. I won’t play those games.
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Blog post #8 - Week 11
How has social media contributed to protest?
Social media has allowed activists to be able to spread information more quickly and with more people at a time. They are able to share information and locations of protests and also create plans of action for the future. Social media has also allowed for people to bring attention to certain issues that mainstream news companies may try to ignore. Many news channels are very biased and tend not to tell the entire story when it comes to people of color being innocent, they shape the story in order to make white people seem to be the victim even when that is not the truth. Such as in the death of George Floyd in 2020, many news channels did not tell the true extent and severity of the situation and it was not until the public began to post videos that everyone was able to see the truth of the situation and was able to see what actually happened.
What were some long term effects from the #NoDAPL movement?
The NoDAPL movement shaped a new unity within indigenous groups and brought people together in order to fight against the long history of stolen land and the constant disregard of indigenous tribes rights. The movement also showed how social media can play a significant role in organizing protests and getting global attention. By using the hashtag #NoDAPL activists were able to attach information, pictures, and videos to the hashtag. The movement led many people to switch to renewable energy considering how pipelines, like DAPL, could be harmful to the water supply and also could cause more environmental problems in the future.
How does online activism differ from in-person activism?
Online activism allows for information to be posted and widely spread almost instantly, while in-person activism tends to require more planning and is usually only spread more locally. This allows online activism to gain much attention more quickly, although there is also a downside to this attention. Considering most online platforms are open to the public, false information can also get in the way which can cause the real meaning of the protest to be lost or altered. In-person activism tends to get a lot of attention as well, especially when there is a large group of people involved. In-person movements allow for people to get more involved and also cause people to get more emotional and passionate about the topics by seeing how many supporters there are.
What barriers still exist that prevent people from engaging in online activism?
One significant barrier that causes people not to engage with online activism has to do with government restrictions. For example, Tiktok is a large social media platform that people would use to spread their political views and morals, although after the ban. Certain words and phrases are restricted. There is now an extreme amount of censorship on the app. Another barrier has to do with people's inability to access online data, such as not having internet and no technology. A large amount of online activism comes from the newer generations because the many members of the older generations are not comfortable with technology and are still easily confused on how it works.
Reference:
Vegh, S. (2003). Classifying Forms of Online Activism: The Case of Cyber-Protests Against the World Bank
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One24: The All-in-One Platform Transforming Business Operations for IT Companies
Key Features That Set One24 Apart 🧠 Smart HRMS Handle everything from hiring, onboarding, attendance, and leave to appraisals and payroll. Say goodbye to spreadsheets and hello to automation.
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🔄 Automation & Notifications Automate repetitive workflows like approvals, reminders, and compliance checks so your teams can focus on what really matters—innovation and growth.
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How to Choose the Best CRM Software for Your Business
Choosing the right CRM software for your business is a big decision — and the right one can make a world of difference. Whether you’re running a small startup or managing a growing company, having an effective CRM (Customer Relationship Management) system helps you keep track of customers, boost sales, and improve overall productivity. Let’s walk through how you can choose the best CRM for your business without getting overwhelmed.
Why Your Business Needs a CRM
A CRM isn’t just a tool — it’s your business’s central hub for managing relationships. If you’re still relying on spreadsheets or scattered notes, you’re probably losing time (and leads). A good CRM helps you:
Keep customer data organized in one place
Track leads, sales, and follow-ups
Automate routine tasks
Get insights into sales performance
Improve customer service
The goal is simple: work smarter, not harder. And with an affordable CRM that fits your needs, you’ll see faster growth and smoother processes.
Define Your Business Goals
Before diving into features, figure out what you actually need. Ask yourself:
Are you trying to increase sales or improve customer service?
Do you need better lead tracking or marketing automation?
How big is your team, and how tech-savvy are they?
What’s your budget?
Knowing your goals upfront keeps you from wasting time on CRMs that might be packed with unnecessary features — or worse, missing key ones.
Must-Have Features to Look For
When comparing CRM options, focus on features that truly matter for your business. Here are some essentials:
Contact Management – Store customer details, interactions, and notes all in one place.
Lead Tracking – Follow leads through the sales funnel and never miss a follow-up.
Sales Pipeline Management – Visualize where your deals stand and what needs attention.
Automation – Save time by automating emails, reminders, and data entry.
Customization – Adjust fields, workflows, and dashboards to match your process.
Third-Party Integrations – Ensure your CRM connects with other software you rely on, like email marketing tools or accounting systems.
Reports & Analytics – Gain insights into sales, performance, and customer behavior.
User-Friendly Interface – If your team finds it clunky or confusing, they won’t use it.
Budget Matters — But Value Matters More
A CRM doesn’t have to cost a fortune. Plenty of affordable CRM options offer robust features without the hefty price tag. The key is balancing cost with value. Don’t just chase the cheapest option — pick a CRM that supports your business growth.
Take LeadHeed, for example. It’s an affordable CRM designed to give businesses the tools they need — like lead management, sales tracking, and automation — without stretching your budget. It’s a smart pick if you want to grow efficiently without overpaying for features you won’t use.
Test Before You Commit
Most CRMs offer a free trial — and you should absolutely use it. A CRM might look great on paper, but it’s a different story when you’re actually using it. During your trial period, focus on:
How easy it is to set up and start using
Whether it integrates with your existing tools
How fast you can access and update customer information
If your team finds it helpful (or frustrating)
A trial gives you a real feel for whether the CRM is a good fit — before you commit to a paid plan.
Think About Long-Term Growth
Your business might be small now, but what about next year? Choose a CRM that grows with you. Look for flexible pricing plans, scalable features, and the ability to add more users or advanced functions down the line.
It’s better to pick a CRM that can expand with your business than to go through the hassle of switching systems later.
Check Customer Support
Even the best software can hit a snag — and when that happens, you’ll want reliable support. Look for a CRM that offers responsive customer service, whether that’s live chat, email, or phone. A system is only as good as the help you get when you need it.
Read Reviews and Compare
Don’t just rely on the CRM’s website. Read reviews from other businesses — especially ones similar to yours. Sites like G2, Capterra, and Trustpilot offer honest insights into what works (and what doesn’t). Comparing multiple CRMs ensures you make a well-rounded decision.
The Bottom Line
Choosing the best CRM software for your business doesn’t have to be complicated. By understanding your goals, focusing on essential features, and keeping scalability and budget in mind, you’ll find a CRM that fits like a glove.
If you’re looking for an affordable CRM Software that checks all the right boxes — without cutting corners — LeadHeed is worth exploring. It’s built to help businesses like yours manage leads, automate tasks, and gain valuable insights while staying within budget.
The right CRM can transform how you run your business. Take the time to find the one that supports your growth, keeps your team organized, and helps you deliver an even better experience to your customers.
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Owl-PMS: Your Free All-in-One Sales CRM
Having a reliable CRM isn’t just a luxury — it’s a necessity. That’s where Owl-PMS comes in. More than just a typical CRM, Owl-PMS is a lifetime free sales CRM designed to help businesses of all sizes streamline their operations, manage leads, and close more deals — without spending a rupee.

Why Choose Owl-PMS?
1. 100% Free, Forever Owl-PMS offers a truly free CRM experience. There are no hidden costs, trial periods, or feature locks. Whether you’re a startup, freelancer, or growing enterprise, Owl-PMS provides all the essential tools you need — with no subscription fees, ever.
2. All-in-One Sales Management From tracking leads to managing follow-ups, Owl-PMS puts your entire sales pipeline in one easy-to-use dashboard. Automate your workflow, assign tasks to your team, and never miss a follow-up again.
3. Powerful Task & Workflow Automation Eliminate manual work with built-in task management and workflow automation. Owl-PMS lets you create custom flows that save time and increase team efficiency.
4. Real-Time Analytics & Insights Track your team’s performance and make data-driven decisions. Owl-PMS offers insightful analytics that show you what’s working — and what needs improvement.
5. Seamless Calendar & Communication Integration Connect your calendar and email to Owl-PMS to keep everything in sync. Stay on top of meetings, client calls, and important deadlines effortlessly.
6. Centralized Collaboration Hub Coordinate across teams without switching tools. Owl-PMS centralizes customer communication, notes, and tasks so everyone stays aligned.
Who Is Owl-PMS For?
Startups looking to grow without breaking the bank
Small businesses in need of a reliable CRM with no recurring costs
Freelancers and consultants who want to manage clients and leads efficiently
Sales teams that value productivity, automation, and simplicity
Final Thoughts
If you’ve been searching for a sales CRM that’s powerful, simple, and completely free, Owl-PMS is the answer. It’s more than just a tool — it’s your partner in productivity. Get started today and experience how easy it is to manage customers, sales, and tasks with Owl-PMS — for free, for life.
No fees. No limits. Just results. Welcome to Owl-PMS.
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Understanding Autonomous SDR Platforms: The Future of Sales Automation
The B2B sales world is changing fast thanks to autonomous SDR platforms—agentic AI systems that automate the entire sales development process. For startups and growing companies, especially founders, CROs, RevOps, and Demand-Gen leaders, this tech is a game-changer in 2025.
What’s an Autonomous SDR Platform?
Think of it as a super-smart AI Sales Development Rep that:
Processes huge data sets (from CRMs, websites, public info)
Makes decisions and plans outreach on its own
Crafts personalized multi-channel messages (email, LinkedIn, and more)
Learns and adapts with every interaction
Unlike basic automation, it works 24/7 independently, freeing your team to focus on closing deals.
Book a Demo: https://www.jeeva.ai/request-demo
How Does It Work?
Smart Prospecting: Finds high-potential leads using AI and buying signals
Data Enrichment: Builds rich profiles for truly personalized outreach
Multi-Channel Engagement: Runs emails, LinkedIn, and other touchpoints automatically
Lead Qualification: Talks to prospects, asks questions, and nurtures leads
Meeting Scheduling: Books qualified meetings directly into your calendar
Continuous Learning: Optimizes every step using real-time data
Why It Matters
Founders: Scale pipeline fast without adding costly headcount
CROs: Get steady, 24/7 lead flow and better conversion rates
RevOps: Automate tedious tasks and get clear data insights
Demand-Gen: Deliver hyper-personalized outreach that really connects
Challenges to Consider
Data quality is key
Integration with your CRM must be seamless
Keep the human touch for handoffs
Avoid spamming with poor personalization
Ensure ethical AI use and bias mitigation
The Future Is Here
Agentic AI SDRs like Jeeva AI are transforming sales development—handling lead gen, enrichment, multi-channel outreach, and booking meetings at less than 25% of human SDR cost. Ready to scale smarter?
Contact Jeeva AI 2708 Wilshire Blvd, Santa Monica, CA 90403 Phone: +1 424-645-7525 Email: [email protected]
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Twozo CRM: The Underrated Powerhouse Transforming SMB Customer Relationships
In the ever-evolving landscape of customer relationship management (CRM) solutions, Twozo CRM has emerged as a compelling choice for small and medium-sized businesses (SMBs) seeking a balance between functionality, affordability, and user-friendliness. Twozo is designed to accelerate sales, marketing, and customer support processes, and it offers a wide range of features that meet modern business needs.
Key Features of Twozo CRM
1. Adaptive Pipeline Management
Twozo makes it easy to organize your sales process with customizable pipelines. Whether you’re managing new leads, ongoing deals, or post-sale follow-ups, you can set up pipelines that actually match how your team works. It’s super intuitive and keeps everything moving without the clutter.
2. Comprehensive Contact Management
No more juggling spreadsheets, sticky notes, or scattered tools. Twozo brings all your customer details like emails, calls, notes, meetings into a single, easy-to-use dashboard. You can even add your own custom fields so it fits your workflow, not the other way around.
3. Robust Workflow Automation
From follow-up emails to deal stage updates, Twozo lets you automate the day-to-day stuff that eats up your time. Just set the triggers, and it runs in the background, keeping your workflow consistent and making sure nothing gets missed.
4. Integrated Communication Tools
You can send emails, make calls, and track conversations right from Twozo. It keeps all your interactions tied to the right contact or deal, so your whole team stays in the loop. No more switching between five different apps just to get a full picture of your customer.
5. Advanced Analytics and Reporting
Want to know where your leads are coming from or how your team is performing? Twozo’s reports give you the data you need without overwhelming you. It’s great for spotting trends and making smarter decisions without hiring a data analyst.
6. Customization and Scalability
Whether you’re just getting started or scaling up, Twozo can grow with you. You can tweak it to fit your business from custom fields and sales stages to multi-currency support and it won’t feel like you need a developer to make changes.
Mobile Accessibility
Twozo understands that business happens everywhere, not just at your desk. That’s why it offers a powerful mobile app, available on both the Google Play Store and Apple App Store, designed to give you full access to your CRM on the go. Whether you're updating deals, checking tasks, or following up with leads, you can do it all from your phone. With real-time sync and a user-friendly interface, Twozo helps teams stay productive and in control, no matter where they are.
Smart Notifications and Alerts
To keep users informed and proactive, Twozo CRM provides real-time notifications for critical events, such as:
Assignment of contacts, deals, or products.
Activity assignments and reminders.
Email interactions (opens, clicks, replies)
Team inbox updates.
Role changes and team additions.
These alerts ensure that users can respond promptly to developments, maintaining momentum in their workflows.
Integration Ecosystem
Twozo CRM supports integrations with several third-party applications, including:
Email
Phone
Social Media
Zapier
These integrations enhance the CRM's functionality, allowing businesses to maintain a cohesive tech sack.
Conclusion
Twozo CRM proves that powerful doesn’t have to mean complicated or expensive. Designed with growing businesses in mind, it strikes the perfect balance between ease of use, smart features, and scalability. Whether you're looking to organize your sales pipeline, improve team collaboration, or build stronger customer relationships, Twozo gives you the tools to do it while keeping costs in check.
If you're searching for a CRM that’s practical, modern, and built to grow with your business, Twozo is definitely worth a closer look.
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