#analytics tool

[filehulk]

Tableau Desktop

Tableau Desktop is a collection of data management tools available for desktops, servers, and mobile platforms. By simply dragging and dropping data into its sleek, user-friendly interface, you can analyze it through automatically generated metrics or delve deeper to manually explore and organize the data using the program’s full range of features. Tableau avoids overwhelming users with…

[followersearchsblog]

FollowerSearch: The ultimate Twitter tool for sorting followers based on location, tweets, follower count, and more. Discover your audience like never before!

[formerlyashkatom]

my fervent wish for a Tumblr Upgrade is a way to filter to only original posts on someone's blog. let me strip away the chaff of the self reflected in the other and come to truly know the random people who interact with my posts based on what they themselves choose to create and make available, jeez.

[bievre]

that post i saw earlier on main about cis women being transphobic to trans men (good post) but then half the tags still being like "anti transmasculinity" or whatever after op made it extremely clear seventeen thousand times that this is the result of cis women being transphobic and thinking they are exempted from doing transphobia and in fact trying to specify out some idea of anti transmasculinity is also just another way of denying the reality of transphobia in itself as an axis of gendered oppression LIKE its just maddening lol

[seventeendeer]

is that sex-averse little tumblr user actually a pearl-clutching puritan or do you just automatically assume everyone else forms opinions based on reptile brain first impulses except for yourself, master of critical thinking and always expressing yourself perfectly with no room for misinterpretation whatsoever

[writingdotcoffee]

New in Writing Analytics: The Draft Library

I haven't posted much recently, and this is why. I've been working on a massive new feature for Writing Analytics. It took way longer than I expected, but it's ready now. And I'm so happy with how it turned out.

Previously, the app only had a chronological list of all your writing sessions. This works fine when you work on a single project, mostly first drafting. However, when you write a lot of stuff, it's easy to lose track of what you did when.

The thing is, people write a lot of stuff in WA. This feature was badly needed for a long time — my first sketches date back to August 2022. I'm glad I didn't build it back then because the idea wasn't fully formed yet. I found the right solution a few months ago and started working on it.

Introducing the Draft Library

One great thing about the library is that it's pretty self-explanatory. It's where your projects and drafts live. Projects behave like folders. You can drag them around to rearrange them. Click on a project to see the drafts inside.

When you open a draft, you'll see its text and some basic stats. Figures like the word count and how much time you spent working on it across all your writing sessions.

Creating new sessions has also changed. I broke the form down into a few steps. It's now way easier to select a project and join a challenge.

This brings me to my favourite new feature: colour coding! You could always set colours for projects, but this is mainly to distinguish them on your dashboard.

Now, you can colour-code drafts in the library as well. Make published drafts green and drafts that still need work red?

Or, when working on a more complex story, you could colour-code different chapters based on the PoV characters or track interweaving threads of the narrative. The possibilities there are endless!

If you'd like to give this a go, you can sign up here (it's free for two weeks).

Coming Up Next

I'm always working on new features for the app. Right now, I'm updating the version history. Every time you create a session, Writing Analytics makes a copy of your draft. You can go back in time and see all the previous versions.

I'm also working on an export feature to the docx format so you can move your work to Google Docs and send it to your editor when you finish drafting.

[nyxi-pixie]

Frankly, that latest post is so real though like people are trying to connect the blorbos to EVERYTHING. The problem though, is that it doesn't WORK unless you take literally everything away except a few thing that you gotta twist till it become unrecognizable to make them fit.

For example, just saw a tiktok going "Dazai doesn't feel anything, so I hc him as having ASPD! And Chuuya feels too much and has abandonment issues, he definitely got BPD"

Which. Hm. First off, I have a slight problem just diagnosing actual mental illnesses on fictional characters, especially when it's based on incorrect readings of their characters but also HOW did you get to this conclusion?

Why try to make characters fit in specific boxes at all, considering how much it flattens them, but even more ones they don't even belong in? Is there even an actual connection there or did you just go "I like this idea and I like this character, so together they go!" Like??? Uuuuugh.

Gotta be violent to myself to remember that this is just silly fandom stuff and people are just having fun and I do not need to be as mad about it as I am. Gotta let people headcanon what they want, it's fiiiiiine.

Completely fine!

...

BUT ALSO DO SOME RESEARCHES ON THE SUBJECTS YOU'RE TACKLING ON?!?!? THAT! IS! NOT! HOW! EITHER! OF! THOSE! WORK!

AAAAAAAAAAAAAAAAAA-

putting a readmore hold my hand anon i am having us hate in quiet mode

ANYWAY. my annoying post from yesterday godbless. i was mostly yapping abt the fandom obsession with pretending to be deep while still caged by their odd fear of cringe (fandom person afraid of cringe you would think is an oxymoron but unforch. no) or their inability to read anything ever. but i kinda get this too. tbh a lot of the time ppl are playing mental illness bingo with characters bc they have like one trait that could be construed vaguely as symptomatic of a particular thing if youre directly looking for it to be, just bc theyre looking for representation. which. is fine. i play gay bingo at all times . i mean. my gay bingo has to align with canon bc im annoying about it. but when it comes down to it i am still just playing gay bingo.

HAVING SAID THATTTT. i do think a lot of the time people who are not very familiar with the ins and outs of the disorders in question (or. who dont know anything abt them. at all. like the tiktokers uve unforch run into.) and who actually have quite weird opinions abt them in real life contexts, sort of armchair diagnose a character for whatever reason without really engaging in why the character thinks that way OR fundamentally, why we are being SHOWN they think that way. bc the difference between a character and a patient in a psychiatrist's office is that a character does not exist as an autonomous being. you cannotttt understand a character purely through the same tools you would use to understand them were they to be a real person. theyre a voice created by an author; the way they act and think and whatever else is molded intentionally to fit the telling of a story. so. you know.

the OTHER issue with this is when it becomes Fandom Accepted Truth, people analyse all their actions through the lens of Disorder They Dont Actually Have. and its like. a catch all explain away device for anything they do and that limits genuine engagement with their actions and thoughts. so. yeah! vaguely annoying and i think oft leads people to have further weird takes abt a character and just generally creates an obstacle to accurate characterisation. thats ALSO because people see disorders, particularly personality disorders, as conclusive as to someones entire personhood. and like yes obviously personality disorders are going to affect. your personality. but everyone diagnosed with them is not the exact same guy, and people i think do sort of fall into believing that. especiallyyyy when it comes to characters. "this thing that i decided you have that canon does not say anything about is now your only trait." okay!

should i be annoyed by this every time i see it? no but alas. i do also think its mooooostly a habit of younger people. new to the internet and theyve heard abt psychology for the first time and now need to apply that info to everything. theyll grow out of it but thats just how the young brain works. i get it i get it i doooo but im a hater at heart. you and i bestie anon..... we are so cursed

[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:

[queeraskae]

Sometimes, I still think back on how two years ago my therapist explained the functionality of the Four Basic Emotions to me, and what the required action was for each of them. It was MINDBLOWING. My life has been so much simpler since that day🥺❤️

[truetechreview]

Top 5 DeepSeek AI Features Powering Industry Innovation

Table of Contents1. The Problem: Why Legacy Tools Can’t Keep Up2. What Makes DeepSeek AI Unique?3. 5 Game-Changing DeepSeek AI Features (with Real Stories)3.1 Adaptive Learning Engine3.2 Real-Time Anomaly Detection3.3 Natural Language Reports3.4 Multi-Cloud Sync3.5 Ethical AI Auditor4. How These Features Solve Everyday Challenges5. Step-by-Step: Getting Started with DeepSeek AI6. FAQs: Your…

[canmom]

anyway as far as whether all art is 'inherently erotic', i don't really care tbh. all, most, some whatever, comes down to quibbling definitions and setting arbitrary thresholds. it is just sensible to recognise that there very often is an 'erotic' dimension to a lot of what humans do, including making and absorbing "art" (however you define that), even art that isn't overtly about sex. and that's not a bad thing or even a good thing, it's just a thing. but societies tend to develop hangups, so it often becomes tacit but unacknowledged or awkwardly bracketed off as an embarrassment. we're funny old creatures.

[cookieofearthbread]

Added a small new rule to the Laws section which is basic; If you use c.ai or plan to use it then please don't bother interacting with me as I hate c.ai (and ai in generals)

[reneetoile]

if you’re an insane person like me you can see reflections of the lorca/dalí artistic dialogue on saint sebastian as alternately dionysian/apollinian and thus signifying both lorca’s and dalí’s respective artistic practices and thus lorca and dalí themselves in the bucky/buck relationship.

[metanarrates]

Sorry if this feels really sudden but was there any specific catalyst that got you interested in media analysis as a hobby? Or did it happen organically? Intensive dissection of art and information wasn't really a habit of mine up until I watched/read Hunter x Hunter for the first time, so I can firmly say "yeah this series is what got me to work on my critical thinking skills" but this of course means fandom was pretty crucial to my development as an individual... was wondering how common/unusual that is for those of us who participate in these spaces 🤔

I've always been something of an analyst! my grandmother was a preschool teacher who switched to being a high school english teacher, so she was a huge influence on me as a kid. she taught me how to read when I was 3, and she lived in my family's house on several occasions during my childhood. i LOVED to read and my grandmother was a very capable teacher, so she was teaching me about literary devices and such when I was literally around 9. my parents are very highly educated people who also like book and film criticism, and my siblings also loved reading, so I just sort of grew up viewing literary analysis as a tool to help me enjoy reading and writing more than I already did. character analysis was and is a common form of discussion around my family dinner table.

however, most of my childhood and teenage education was about literary analysis as a tool to emphasize what an author did well. I didn't get into media CRITIQUE until I was around 15 years old and discovered twilight criticism on livejournal.

to give you some background, I didn't have unfettered internet access as a kid. my parents believed it wouldn't be healthy for my development and heavily monitored my internet usage. my smartphone, when I got one, had its internet browser locked down UNLESS my parents disabled the parental locks on it. but when I was around 15, I became friends with a trans dude at my school who Loved tearing apart bad media. we would hang out and read horrible smut fanfiction while trying not to laugh as a regular activity. around this time, I figured out how to jailbreak my phone to allow me to browse the internet more freely, and in doing so discovered livejournal communities that were dedicated to in-depth critiques of certain media.

i was OBSESSED with those critiques. i had never seen comprehensive literary analysis used to explain why something sucked, and it was very exciting to my teenage brain. i reread certain critiques over and over again, just because the type of analysis going on was something I had never seen before. some of these authors were very educated and talked a lot about feminist lenses of analysis, racial lenses of analysis, etc. and i just wanted to learn more. I started reading critical essays on other works as a major hobby, and my friend and I would regularly discuss media critique. since then media analysis has just been a Huge interest of mine.

so as far as your question goes, i suspect my background is pretty unusual. most people I know who got into fandom did so as a kid or teenager. and I definitely did get into fandom in my late teens, don't get me wrong, but I had an ENTIRE background of literary education under my belt already by the time I became a regular denizen of the internet. fandom ended up not being very influential to my critical thinking skills at all lmao