#unstructured data

[advisedskills]

Is unstructured data causing more problems for your business than you realize?

Companies that dismiss this hidden resource face unresolved challenges and lost opportunities.

Explore how unstructured data might be stalling growth-and the steps you can take to get ahead.

Read the article.

#UnstructuredData #DataAnalytics #BusinessInsights #Innovation #AdvisedSkills

[vectordatabasecode]

Advanced Retrieval Techniques

Retrieval-Augmented Generation with Citations - Explore how augmentation with citations can significantly improve the depth and reliability of generated content.

Similarity Metrics for Vector Search - Understand different metrics that drive the effectiveness of vector searches, crucial for refining retrieval systems.

Local Agentic RAG with Langraph and Llama3 - Discover the integration of local datasets with advanced retrieval frameworks for enhanced performance.

Multimodal RAG with CLIP, Llama3, and Milvus - A deep dive into a multimodal approach, combining textual and visual data for rich content generation.

Practical Guides for Developers

A Beginner's Guide to Using Llama 3 with Ollama, Milvus, LangChain - Perfect for developers new to our frameworks, offering step-by-step guidance.

Getting Started with a Milvus Connection and Getting Started: Pgvector Guide for Developers Exploring Vector Databases - These guides are essential for setting up and beginning work with vector databases.

Educational Articles on Embedding Techniques and Applications

Sparse and Dense Embeddings - A look at different embedding types, offering insights into their use-cases and benefits.

Mastering BM25: A Deep Dive into the Algorithm and Application in Milvus - An in-depth exploration of BM25, a core algorithm for understanding document relevance.

Comparing SPLADE Sparse Vectors with BM25 - Comparative analysis that helps in selecting the right tool for specific retrieval tasks.

Training Your Own Text Embedding Model - Empower your projects by creating custom models tailored to your specific data needs.

Implementing and Optimizing RAG

Guide to Chunking Strategies for RAG and Experimenting with Different Chunking Strategies via LangChain - Both resources provide strategic insights into segmenting text for better retrieval outcomes.

Optimize RAG with Rerankers: The Role and Tradeoffs - Detailed discussion on the optimization of retrieval systems for balance between accuracy and performance.

[shrkdd]

80% of data is unstructured. Manage it like a pro!

Unstructured data is a diverse array of information that is not stored in a traditional database. This includes emails, images, videos, and more. While unstructured data can be a valuable asset for businesses, it can also pose a significant challenge if it is not managed effectively.

In this webinar, industry experts will share their insights on how to manage unstructured data like a pro. They will discuss:

The different types of unstructured data and the associated risks

Strategies for identifying, organizing, and extracting value from unstructured data

Best practices for data security and compliance

This webinar is for business leaders, data professionals, and anyone who wants to learn more about how to manage unstructured data like a pro.

Register for the webinar today!

#unstructureddata #manageunstructureddata #datasecurity #dataprivacy #datagovernance #datacompliance #dataanalytics #datavisualization #datascience #bigdata

[rajaniesh]

Maximize Efficiency with Volumes in Databricks Unity Catalog

With Databricks Unity Catalog's volumes feature, managing data has become a breeze. Regardless of the format or location, the organization can now effortlessly access and organize its data. This newfound simplicity and organization streamline data managem

[simple-logic]

#PollTime What database type handles unstructured data?

A) NoSQL 📂 B) SQL 🗄️ C) Docker 🐳 D) API 🔗

Comments your answer below👇

💻 Explore insights on the latest in #technology on our Blog Page 👉 https://simplelogic-it.com/blogs/

🚀 Ready for your next career move? Check out our #careers page for exciting opportunities 👉 https://simplelogic-it.com/careers/

[innovativeroutinesinternational]

Structured, Semi- & Unstructured Data Masking

DarkShield classifies, finds, and deletes PII in RDBs and flat files, too, plus: free text, JSON, XML, HL7/X12, Parquet and log files; MS Office (Word, Excel and Powerpoint) and PDF documents, NoSQL DBs, as well as DICOM and other image formats. Visit Us: https://www.iri.com/products/iri-data-protector

[kawaiiwizardtale]

How to reduce product returns with Digital shelf analytics

Discover how Digital shelf analytics can help minimize product returns to transform your retail success. Dive in for actionable strategies. Read more https://xtract.io/blog/how-to-reduce-product-returns-with-digital-shelf-analytics/

[verticalcarousel]

Ohalo | Data X-Ray Unstructured Data Discovery Tool

Accelerate accurate data discovery and gain in-depth visibility.Discover, examine and take action on your unstructured data files with a powerful unstructured data discovery tool.

Most organizations have substantial amounts of unstructured data which is unknown. Eliminate blind spots for security, privacy and governance teams by providing visibility to how sensitive data is stored, shared, and used - even in the cloud. Where do you start?

Answering the most essential questions:

Where is my most critical, sensitive data?

What policies should be enforced on this data?

Who has access to the data and is it secure?

Explore Data X-Ray today! - https://www.ohalo.co/discovery

[mourning-again-in-america]

I've never been to Costco, but from the perspective of someone working grocery, most of the time a customer is in line for significantly more than average, it's because there's some sort of communications fuckup between systems, especially if people go through proper channels.

It used to be that if someone walked up with a bag of fried chicken from the hot deli without a pricetag, I'd have to call the deli, wait for them to pick up, ask them for the price, manually key in the price, call my manager to approve the manual price entry, and they'd have to physically walk over to my machine to approve it. Similarly for if a customer has a coupon in their app that they forgot to clip and they don't mention that they never clipped it, I have to call grocery for a price check, grocery has to pick up, find the item, give me the price and my manager might have to OK the alteration (naturally, these steps can and are skipped thanks to my phone having an SKU scanner that works on 99% of items). But similarly, if something just isn't in the system and I can't do a phone lookup for it (happens about once a week), I have to go through the above script, which costs a large amount per customer relative to the average cost per customer.

Also, there's a large amount of social items that people can buy. My grocery store sells transit passes, western union mail orders, lottery tickets, fresh flowers, and balloons inflated on-site, each of which require higher than average time per customer.

To conclude, I think most of their savings probably comes from having a better and simpler backend than most grocery companies, but having a backend that works 99.99 percent of the time saves a lot of unnecessary work for frontend people (and exasperation of customers), coupled with shaving off items that systemically have a high mean worker time per customer makes a much more efficient system.

[mariacallous]

Palantir, the software company cofounded by Peter Thiel, is part of an effort by Elon Musk’s so-called Department of Government Efficiency (DOGE) to build a new “mega API” for accessing Internal Revenue Service records, IRS sources tell WIRED.

For the past three days, DOGE and a handful of Palantir representatives, along with dozens of career IRS engineers, have been collaborating to build a single API layer above all IRS databases at an event previously characterized to WIRED as a “hackathon,” sources tell WIRED. Palantir representatives have been onsite at the event this week, a source with direct knowledge tells WIRED.

APIs are application programming interfaces, which enable different applications to exchange data and could be used to move IRS data to the cloud and access it there. DOGE has expressed an interest in the API project possibly touching all IRS data, which includes taxpayer names, addresses, social security numbers, tax returns, and employment data. The IRS API layer could also allow someone to compare IRS data against interoperable datasets from other agencies.

Should this project move forward to completion, DOGE wants Palantir’s Foundry software to become the “read center of all IRS systems,” a source with direct knowledge tells WIRED, meaning anyone with access could view and have the ability to possibly alter all IRS data in one place. It’s not currently clear who would have access to this system.

Foundry is a Palantir platform that can organize, build apps, or run AI models on the underlying data. Once the data is organized and structured, Foundry’s “ontology” layer can generate APIs for faster connections and machine learning models. This would allow users to quickly query the software using artificial intelligence to sort through agency data, which would require the AI system to have access to this sensitive information.

Engineers tasked with finishing the API project are confident they can complete it in 30 days, a source with direct knowledge tells WIRED.

Palantir has made billions in government contracts. The company develops and maintains a variety of software tools for enterprise businesses and government, including Foundry and Gotham, a data-analytics tool primarily used in defense and intelligence. Palantir CEO Alex Karp recently referenced the “disruption” of DOGE’s cost-cutting initiatives and said, “Whatever is good for America will be good for Americans and very good for Palantir.” Former Palantir workers have also taken over key government IT and DOGE roles in recent months.

WIRED was the first to report that the IRS’s DOGE team was staging a “hackathon��� in Washington, DC, this week to kick off the API project. The event started Tuesday morning and ended Thursday afternoon. A source in the room this week explained that the event was “very unstructured.” On Tuesday, engineers wandered around the room discussing how to accomplish DOGE’s goal.

A Treasury Department spokesperson, when asked about Palantir's involvement in the project, said “there is no contract signed yet and many vendors are being considered, Palantir being one of them.”

“The Treasury Department is pleased to have gathered a team of long-time IRS engineers who have been identified as the most talented technical personnel. Through this coalition, they will streamline IRS systems to create the most efficient service for the American taxpayer," a Treasury spokesperson tells WIRED. "This week, the team participated in the IRS Roadmapping Kickoff, a seminar of various strategy sessions, as they work diligently to create efficient systems. This new leadership and direction will maximize their capabilities and serve as the tech-enabled force multiplier that the IRS has needed for decades.”

The project is being led by Sam Corcos, a health-tech CEO and a former SpaceX engineer, with the goal of making IRS systems more “efficient,” IRS sources say. In meetings with IRS employees over the past few weeks, Corcos has discussed pausing all engineering work and canceling current contracts to modernize the agency’s computer systems, sources with direct knowledge tell WIRED. Corcos has also spoken about some aspects of these cuts publicly: “We've so far stopped work and cut about $1.5 billion from the modernization budget. Mostly projects that were going to continue to put us down the death spiral of complexity in our code base,” Corcos told Laura Ingraham on Fox News in March. Corcos is also a special adviser to Treasury Secretary Scott Bessent.

Palantir and Corcos did not immediately respond to requests for comment

The consolidation effort aligns with a recent executive order from President Donald Trump directing government agencies to eliminate “information silos.” Purportedly, the order’s goal is to fight fraud and waste, but it could also put sensitive personal data at risk by centralizing it in one place. The Government Accountability Office is currently probing DOGE’s handling of sensitive data at the Treasury, as well as the Departments of Labor, Education, Homeland Security, and Health and Human Services, WIRED reported Wednesday.

[all-chords-in-sync]

I still find myself tempted by the concept of a week consisting of seven consecutive rest days.

Yet, in perusing the Express's data bank, I've encountered a number of novel concepts.

It might be better to say that the concepts are not novel in and of themselves -- rather, that I have read works in which they are applied in novel ways (at least as far as my personal experience goes).

Namely, the terms "enrichment" and "comfort zone" are ones I've heard before, albeit only on occasion. I can't say I have extensive interest in behavioral science, hence my lack of familiarity with these terms. That said, it's all too easy to meander across a staggering range of research topics that are, at best, only tangentially connected... but I digress.

In any case, there are anecdotes of people who follow schedules consisting of those seven consecutive rest days I've previously proposed. It seems that the resulting lack of structure in one's life can, depending on the circumstances, lead to extraordinary, mind-numbing tedium. As it turns out, stress, like many things, is beneficial in moderation -- in this sense, I mean regular engagement with novel concepts and stimuli.

...Much like my exploration of the data bank, I suppose.

Perhaps it's not unreasonable to think we should also set aside time for non-rest activities -- ones that give us a sense of engagement and fulfillment. This would be a logical approach to staving off the boredom that often sets in during a lengthy interval of unstructured time.

...Having mused for this long, I can understand how behavioral science is an entire discipline worthy of study. Perhaps the concept of seven consecutive rest days warrants further research.

[elucubrare]

i'm really grumpy about michael hobbes dismissing haidt's ideas about introducing more recess to schools because 1. it seems common-sense obvious that having more unstructured time built into the school day is good & 2. there is a lot of research saying that recess has significant benefits for kids (admittedly i'm not paying to access the article, but the most recent one i saw with a quick google was a 2022 meta analysis of papers from 2009 - 2019). i'm grumpier about the second one because he puts himself forward as completely data-driven but when it's something that strikes him as silly he doesn't look into it at all.

[thinking-emoji]

ngl they were pretty famous in 2017, not like household names level famous, but definitely more famous than they are right now. i feel like even if u were just a casual youtube watcher and social media user, u at least heard of their names, and the phandom at the time was also huge (in part because, like dnp mentioned in their mukbang video, a lot of ppl who were generally into british youtube also watched them, whereas now, it’s mostly us really dedicated phannies who have stuck through the hiatus). also, although they had left the bbc by then, they ofc still had that cred attached to them for having been bbc presenters and brits hosts (granted, £250,000 is still Wilddddd, but yeah i’d say they were pretty famous then, even if a good portion of that was like Residual fame from the insanity of 2014-2016)

OH MY GOD YOU GUYS I'M SO SORRY

I GOT THESE AND STARTED RAMBLING AND THEN WANTED TO LOOK SOMETHING UP AND REORGANISE THE POST AND THEN I SAVED THIS AS A DRAFT AND THEN. FORGOT. FOR A WEEK please forgive me 😭😭😭

Um. Do you still want the unstructured rant from a week ago. I'm not even gonna reread it, I'll just post it as it is including last week's tags 😭😭😭

Ok this sent me down a rabbit hole into the most subscribed to youtube channels of 2017, the post-brexit economy of the UK, tinder's revenue history, tinder's marketing budget history, youtube's revenue history (google "2017 youtube advertiser boycott" for a blast from the past), and way too little phandom and Fandom history so I still feel like I'm missing pieces lmao

The thing is... I distinctly *remember* seeing comments that dnp were past their zenith during ii? Granted I wasn't on phannie tumblr at the time so this must've been on twitter or idb, where people have always been more pessimistic I guess. But it's not like this was a lifetime ago, I know where I was and what I did in 2017 (secretly watch dnpg during a uni field trip while everyone else was getting drunk and hooking up with the professors) (until they realised i had mobile data even though we were abroad, which was when they started asking me if we could all watch skam on my phone) (bc apparently that was what the 20 year olds were into lmao) (which is also how i know nobody used tumblr anymore bc i found the pirated skam uploads through a doc linked on tumblr, while everyone else was trying to catch the youtube uploads before they got taken down after 2 hours), so I feel like I can't be misremembering it that much? Like, I remember everyone (irl and on twitter) talking about conventional "youtubers" (as in, person who talks into a camera without a large production company behind them) in these mind-bogglingly reductionistic terms after pewdiepie came out as a racist and then again after logan paul filmed that dead body (tbf that was in december 2017, so definitely after the tinder spon), and I specifically found it so strange that it seemed like none of these commentators knew any other professional youtubers. Like the whole business model seemed so strangely more niche than it had a few years earlier? Like, in 2012 all my friends were watching Tyler Oakley or Jenna Marbles, and then by 2016 they had moved on to watch... Seth Meyers clips? On Youtube? Or, you know, Skam reuploads. Which is not what the platform was for at all, but there was this strange shift in content that wasn't *made* for youtube.

All this to say.... I guess the ad *could* have been that expensive, especially bc immediately after brexit inflation went up in the uk, so that probably also affected the numbers, depending on whether they got the deal with tinder uk or tinder us? I still feel like 2017ish wasn't a high point for youtubers specifically. Apparently influencer marketing only really took off in the mid-2010s though, so I guess it was also this liminal space of already-ftc-mandated-testimonial-declarations-hashtag-ad but not-yet-moved-all-the-budget-to-instagram? Idk it was a weird time. I wonder how it'll go in the next 10 years