#raw data

[pitch-and-moan]

Original Script 2023.a17423.ks759

An AI-penned script that, due to an unforeseen error, is actually just a dump of the deep neural network's throughput, dumped out in script form. The script runs more than eight million pages, and is all but completely indecipherable, but as there's no humans involved in the process, the movie is greenlit and produced. Several cinematographers go insane trying to parse camera shot instructions like, "goto 'climactic scene'" and "turquoise wash, rev'upsell', dump market'.a17-t34/87530-87642'."

[codeflixglobal]

The Process of Predictive Modeling!

Transform raw data into future insights! Explore the process of Predictive Modeling in our latest infographic.

[rajeshwaria]

Exploring the Power of Data Annotation in Transforming Raw Data

Businesses today generate and collect vast amounts of data, but extracting meaningful insights from raw, unstructured information remains a challenge. Without proper data preparation and annotation, companies struggle to fully leverage their data. Data annotation serves as the key to unlocking the power of raw data, turning it into structured information that is valuable for business intelligence, machine learning, and decision-making. Infiniti Research is at the forefront of offering data annotation services that help businesses gain actionable insights, drive innovation, and improve operational efficiency.

What Makes Data Annotation Crucial?

Data annotation is a critical step in the data analysis process. Raw data, whether in the form of images, videos, text, or other formats, is often too complex for AI and machine learning models to process without proper labeling. Data annotation assigns meaningful tags or labels to this raw data, making it interpretable and actionable for these technologies.

Without this step, data remains largely useless to AI models, and businesses miss the opportunity to gain valuable insights. The annotation process helps to structure the data in ways that machines can interpret and learn from, paving the way for smarter decisions, improved predictions, and enhanced business strategies.

The Benefits of Data Annotation for Business Transformation

Enhancing AI Model Accuracy For AI systems to recognize patterns and make predictions, they need annotated data. By labeling data, businesses provide a clear framework for machine learning models to learn from. This process improves the accuracy of predictions and ensures that AI systems are more reliable and efficient.

Unlocking Real-Time Insights Data annotation empowers businesses to extract valuable insights from real-time data. Whether it’s analyzing consumer sentiment, monitoring social media trends, or assessing customer feedback, annotated data allows businesses to respond swiftly and intelligently to emerging patterns and trends.

Supporting Better Decision Making With annotated data, organizations can rely on more accurate analytics. When data is labeled correctly, businesses can make more informed decisions, whether in product development, marketing strategies, or operational improvements.

Improving Customer Engagement By annotating customer feedback, reviews, and interactions, businesses can gain a deeper understanding of customer preferences and behaviors. This leads to better-targeted marketing campaigns, personalized services, and an overall improved customer experience.

The Infiniti Research Data Annotation Process

At Infiniti Research, we take a comprehensive approach to data annotation, ensuring that each project meets the highest standards of quality and efficiency. Our process includes:

Data Acquisition and Cleaning The process begins with collecting and preparing the raw data. This step involves removing irrelevant or incorrect data, ensuring that only high-quality information is retained.

Labeling and Tagging Our team of skilled annotators works with advanced tools to label the data accurately. This could include annotating text for sentiment analysis, tagging images for object detection, or labeling audio for speech recognition.

Quality Control and Validation We prioritize accuracy and consistency in our annotation process. Our quality assurance measures ensure that each labeled dataset is reliable and meets the client’s objectives.

AI/ML Integration Once the data is properly annotated, it is integrated into AI and machine learning models, enabling businesses to extract actionable insights and train their systems for improved performance.

Real-World Applications of Data Annotation

Data annotation has far-reaching applications across various industries. In healthcare, it plays a vital role in improving diagnostic accuracy through the annotation of medical images. In retail, it aids in understanding customer sentiments and preferences, driving personalized marketing strategies. The automotive industry uses annotated data for training autonomous vehicles, while the finance sector uses it for fraud detection and credit risk assessment.

Overcoming Data Annotation Challenges with Infiniti Research

Despite its importance, data annotation comes with several challenges, including scalability, cost, and quality. Infiniti Research addresses these issues by leveraging a combination of automation and human expertise. Our solutions are designed to be scalable, ensuring that businesses can annotate large datasets without compromising on quality. Additionally, we focus on delivering cost-effective solutions that meet the specific needs of each client.

Infiniti Research: Your Expert Partner in Data Annotation

At Infiniti Research, we understand that data is an asset that, when properly utilized, can propel a business forward. We offer comprehensive data annotation services tailored to your unique needs, helping you unlock the full potential of your data. Our team’s expertise and commitment to quality make us the ideal partner for businesses looking to enhance their data capabilities and drive success.

By working with Infiniti Research, you can ensure that your data is transformed into valuable business insights, empowering your organization to make smarter, more informed decisions. Let us help you navigate the world of data annotation and take your business to new heights.

Click here to talk to our experts

[frogofunreasonablesize]

This is like, almost the exact lore for a niche VR game called raw data. And it has techno ninjas. For fun

had a nightmare that i lived in a futuristic scifi city where teleportation had become the norm and replaced all other forms of transportation and one day i suddenly became aware that teleportation kills people and just creates a clone of them that thinks it's the same person and that if i ever teleported again i would die, and that every time one of my friends or family teleports they die, that i'm not even the original me, that all newborn babies live a few hours at most, until their first teleportation. but no one would believe me and treated me like i was crazy and my life was almost impossible without teleportation because there were no more roads connecting cities and all stairs and elevators had been removed so i couldnt get to my job or the grocery store or do pretty much anything. in the end i had to gaslight myself into just pretending the people around me weren't dying and the copies were really them because after all it's stupid to mourn someone standing right next to you isn't it? if you only spend a few hours with each iteration what meaning does it have?

[charlessmithpost]

Unveiling The Benefits of Data Lake

In the realm of modern data management, the term "Data Lake" has been making waves. But why are they becoming indispensable for businesses across industries?

The Benefits Unveiled:

Here are the benefits of Data Lake:

1. Scalability and Flexibility: Data Lakes offer unparalleled scalability, enabling organizations to seamlessly expand their data storage capacity as needed. This flexibility allows businesses to accommodate the ever-growing volumes of data generated in today's digital landscape.

2. Enhanced Data Accessibility: With Data Lakes, accessing data becomes a breeze. By centralizing data storage and eliminating silos, organizations empower their teams to access a wide array of data sources effortlessly. This accessibility fosters collaboration and enhances decision-making processes.

3. Cost Efficiency: Data Lakes present a cost-effective solution for data storage and management. By leveraging scalable cloud infrastructure and open-source technologies, businesses can significantly reduce their overhead costs associated with data storage and processing.

4. Real-Time Insights: One of the most compelling advantages of Data Lakes is their ability to deliver real-time insights. By housing vast amounts of raw data, organizations can harness advanced analytics tools to derive actionable insights promptly, enabling proactive decision-making.

5. Agility in Data Processing: Traditional data warehouses often struggle with the rigidity of data structures. In contrast, Data Lakes embrace the concept of schema-on-read, allowing for on-the-fly data structuring. This agility in data processing empowers organizations to adapt quickly to evolving business requirements.

6. Advanced Analytics Capabilities: Data Lakes lay the foundation for advanced analytics initiatives, including machine learning, artificial intelligence, and predictive analytics. By leveraging the rich dataset within Data Lakes, organizations can unlock valuable insights and drive innovation.

7. Regulatory Compliance: In an era of stringent data regulations, compliance is paramount. Data Lakes provide robust security and governance features, ensuring that sensitive data remains protected and compliant with industry regulations.

In today's data-driven landscape, harnessing the power of Data Lakes is not just advantageous; it's imperative for staying competitive. By embracing scalability, accessibility, and agility, organizations can unlock the full potential of their data assets and drive success in the digital age.

[jnpr-styx]

Here’s a glitchy song I made! ⚠️ HIGH FREQUENCY AND FLASHING LIGHTS ALERT!!!

[snigepippi]

If you want to keep your data but delete it from 23andMe, you can download the raw data.

You will get several FASTA text files. Which you can BLAST for your own amusement. Just like @hellsitegenetics BLAST our posts.

23AndMe is circling the drain. GET YOUR DATA OUT OF THERE!

“To Delete Genetic Data from 23andMe:

Consumers can delete their account and personal information by taking the following steps:

Log into your 23andMe account on their website. 

Go to the “Settings” section of your profile.

Scroll to a section labeled “23andMe Data” at the bottom of the page. 

Click “View” next to “23andMe Data”

Download your data: If you want a copy of your genetic data for personal storage, choose the option to download it to your device before proceeding.

Scroll to the “Delete Data” section. 

Click “Permanently Delete Data.” 

Confirm your request: You’ll receive an email from 23andMe; follow the link in the email to confirm your deletion request.”

[garymdm]

From Data to Information: The Art of Data Management

Introduction Information should be a valuable asset that fuels decision-making, innovation, and growth. Yet, data, in its raw form, is often chaotic, overwhelming, and difficult to harness. It’s the role of data management to bridge the gap between raw data and meaningful information, transforming it into actionable insights. In this blog post, we’ll explore the intricate process of turning data…

[patchesjam]

Dtblr Census: The Results 

 

Hello all and welcome back to the DTBLR census of 2024/25. Happy Late New Year all! There are 5 parts to these results: Read as much or as little as you wish and thank you all for taking part.

Part 1: Popular and Unpopular CCs

Part 2: A Comparison with June 2023

Part 3: A Look at DTBLR in the Mirror

Part 4 : A communist perspective on the 1%

Part 5: The Average Dtblr Member

[wisteriaclaw]

WHY DID THEY HAVE TO NAME HIM DATA i am now INCAPABLE of being normal about a FREQUENTLY USED WORD </3

[nothingwronghere]

[procrastinationaccount]

By my count, here's how Pyrrha is referred to overall:

More charts below cut

Who refers to Pyrrha overall:

How Pyrrha is referred to in dialogue:

Who refers to Pyrrha in dialogue:

How Camilla refers to Pyrrha:

How Palamedes refers to Pyrrha:

[kliunkii]

made some everything everything album themed necklaces out of scrap beads because im cool like that

[dkettchen]

me, after having made the mistake of deciding to download the raw data from gender census 2024 to get some label intersection and multi-pronoun set data out of it that op didn't provide in their own diagrams, now waiting for my VS Code to finish running the like 3 lines of code that will print all unique values from each column (a few at a time cause they don't fit in my terminal otherwise) bc I had to download it as an excel file instead of a csv bc it has two header rows and SO MANY EMPTY CELLS, and apparently pandas takes ages to read in excel, also this data set has like 48k responses in it: 😬 I luv data cleaning hnnnggggg

[kbsd]

am I remembering right that you have a spreadsheet tracking steals?

hi! yes i do! i update it several times a day and check my numbers directly against the mod's very regularly, so you can trust it's as accurate as possible :)

i know @chirpybirdy also has a spreadsheet here; both have mostly the same basic information (ship leaderboards for current rounds, all the steals, etc.) but they're just formatted differently, which i'll explain below the cut ->

chirpy's spreadsheet has a tab for purely the results of the current round, and then that round's steals listed all together on a separate sheet:

whereas i have the steals grouped alongside each matchup result (plus an additional sheet of steals and totals sorted by medium):

(example of round 3 matchups, not the wildcard, just to illustrate the format)

our spreadsheets are formatted so differently because they serve different purposes/we're tracking some different things. chirpy's has a leaderboard for stealers:

whereas i'm keeping a leaderboard of ships' steals and progress across all rounds (this is currently sorted by the wildcard round, but you can sort by whichever column you want), as well as some totals and stats by medium and by show just for fun:

chirpy also has something fun, which is tracking a ship's overall power level which is basically how many steals they've gotten + their total margins of victory in all their polls:

so really you can use either depending on what information you want to find!

[halothanic]

two drawings of everything everything that i was lucky enough to give them when i saw them last week! first is my rendition of their artist pfp during the raw data feel era. it was fun trying to work out their strange sci-fi forms and their near-unrecognizable faces. and of course, hiding my favorite robot cyclops within. which they spotted!

second is just a little redraw of their 2016 tour mini-poster i had printed out and put on my wall for soooo long back then. can't find the actual image but here's the photo in question. more standing emojis. love those tour costumes sm