#document ai

[pcongrp]

Transform raw data into actionable insights with advanced Document Intelligence powered by NLP and Machine Learning. Explore cutting-edge solutions at Piazza Consulting Group.

[djcomputing01]

AI Document Processing with Amazon Textract Boost Revenue & Saves

SEO Description

Artificial intelligence tools for manual document processing? Explore SNQS's success story with AI-powered document processing using Amazon Textract.

Struggling with manual PO processing? SNQS, a leading European-Middle Eastern merchandise management company, faced similar challenges. They turned to AI and achieved remarkable results.

Key Benefits:

Dramatically Reduced Errors: Lowered error rates from 30% to under 5%. Streamlined Operations: Decreased processing time by 70% and increased order fulfillment by 15%. Enhanced Efficiency: Increased order volume by 25% without additional staff. Boosted Revenue: Generated an extra €6 million in annual revenue. Cost Savings: Reduced manual processing costs by 60% and administrative overhead by 50%. Discover how AI can transform your PO management. Request a demo today!

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Website link - https://www.djcomputing.io/snqs-case-study

[piazzaconsultinggroup]

OCR & AI: Powering Smart Document Processing.

Hey there, document wranglers and data tamers! Tired of drowning in paperwork and digital files? Well, buckle up, because we're diving into how Optical Character Recognition (OCR) and Artificial Intelligence (AI) are teaming up to revolutionize document management.

Imagine having a super-smart, tireless assistant who can read, organize, and make sense of your documents faster than you can say "Where did I put that file?" That's exactly what the powerful combo of OCR and AI brings to the table. This dynamic duo is giving traditional document management a major upgrade, automating tasks, boosting accuracy, and slashing costs.

Tech Progress in OCR.

The move from extracting data by hand to automating it kicked off with OCR tech. originally, this was just for turning printed words into digital ones, but wow, it’s come a long way! Now it can handle all sorts of document formats like business cards, invoices, receipts, & even complex documents that take up multiple pages.

This change has made OCR super important for going digital. It lets businesses turn their paper files into editable & search-friendly digital formats quickly. Picture a company that used to stack files in cabinets; now they can convert all that into digital form! This makes finding & managing documents way easier. Plus, it saves time and clears up space.

The Key Role of AI in Document Management.

While OCR lays the groundwork for text conversion, AI kicks it up a notch in document management. It goes beyond just recognizing text by diving into the context & grabbing useful info from messy or partly organized documents.

With tech like machine learning & natural language processing, systems can learn from what they see, spot patterns, and even make smart decisions. This cuts down on how much humans need to be involved in processing documents. For instance, an AI can look at past invoices to guess future billing trends, helping finance teams keep cash flow in check.

Boosting Skills with OCR and AI Together.

Mixing OCR with AI creates a strong base for smart document processing—here are some highlights:

Better Accuracy: AI's advanced ability to spot patterns tackles issues with various document formats & layouts that OCR faces. This means way fewer mistakes when pulling out text! Businesses end up trusting their data more—better choices happen here.

Automated Data Pull: These smart processing systems use AI models to automatically pull out data from documents. This smoothens workflows and cuts back on manual entry errors big time! Employees then get to focus on important tasks instead of boring data entries.

Instant Document Classification: Thanks to AI, these systems can quickly sort and send documents where they need to go. Think big organizations where invoices go directly to finance or contracts head straight to legal—this makes sure everything lands in the right inbox without making anyone wait.

Strong Security Measures: By adding AI into the mix, smart document software can crank up security measures like encrypted storage and multi-factor authentication—keeping sensitive info safe from prying eyes & cyber risks is crucial today when data breaches are so common.

Detailed Audit Trails: These systems keep track of every action related to documents too! This is super important for staying clear & accountable while following regulations. Organizations have an easy way to see who looked at what info and when—great for compliance audits!

Various Industry Uses.

The combo of OCR and AI is beneficial across tons of sectors:

Finance: Automating loan processes or spotting fraud helps banks run smoother & stay secure while handling compliance docs like KYC checks.

Healthcare: Piling up those patient records or processing insurance claims becomes simpler—leading to better patient care and smoother operations.

Retail: Judging by how purchase orders, invoices, & inventory records get managed easily makes audits a breeze while boosting overall efficiency.

Legal: Speeding up case file management or checking contracts helps law firms save time while cutting down on errors in vital actions.

Immigration: Making application processes faster helps improve accuracy—all super important for timely decisions!

Conclusion:

The mix of OCR and AI doesn't just tidy up document handling; it brings real precision & efficiency that can change how businesses operate. As industries continue their digital journeys, using smart document processing will be key. By leaning into these technologies, organizations can become more agile, comply better with regulations, and keep customers happy too! These tech tools are not just about upgrades—they’re about gaining an edge in today’s business landscape!

[tanvisingh05]

AI Solutions in Document AI Solutions

The AI Solutions in Document AI Solutions is the robust AI solution automating and accelerating business processes that matters the most for business growth. Connect with us for more requirements.

[fixyourwritinghabits]

AI, Plagiarism, and CYA

Shout-out for all the students gearing up to go back to school in increasingly frustrated times when dealing with all this AI bullshit. As you've probably noticed, lots of institutions have adapted anti-plagiarism software that incorporates AI detectors that - surprise - aren't that great. Many students are catching flack for getting dinged on work that isn't AI generated, and schools are struggling to catch up to craft policies that uphold academic rigor. It sucks for everyone involved!

As a student, it can really feel like you're in a bind, especially if you didn't do anything wrong. Your instructor isn't like to be as tech-savvy as some, and frankly, you might not be as tech-savvy as you think either. The best thing to do, no matter how your school is handling things, is to Cover Your Ass.

Pay attention to the academic policy. Look, I know you probably skimmed the syllabus. Primus knows I did too, but the policy there is the policy the instructor must stick with. If the policy sets down a strong 'don't touch ChatGPT with a ten-foot pole' standard, stick to it. If you get flagged for something you thought was okay because you didn't read the policy carefully, you don't have ground to stand on if you get called out.

Turn off Autosave and save multiple (named) drafts. If you're using Microsoft Word because your school gives you a free license, the handy Autosave feature may be shooting you in the foot when it comes to proving you did the work. I know this seems counter-intuitive, but I've seen this bite enough people in the ass to recommend students go old-school. Keep those "draft 1234" in a file just in case.

Maintaining timestamped, clearly different drafts of a paper can really help you in the long-run. GoogleDocs also goes a much better job of tracking changes to a document, and may be something to consider, however, with all this AI shit, I'm hesitant to recommend Google. Your best bet, overall, is to keep multiple distinctive drafts that prove how your paragraphs evolved from first to final.

Avoid Grammarly, ProWiritingAid, etc. All that handy 'writing tools' software that claims to help shore up your writing aren't doing you any favors. Grammarly, ProWritingAid, and other software throw up immediate flags in AI-detection software. You may have only used it to clean up the grammar and punctuation, but if the AI-detection software says otherwise, you might be screwed. They're not worth using over a basic spell and grammar check in both Word and GoogleDocs can already do.

Cite all citations and save your sources! This is basic paper-writing, but people using ChatGPT for research often neglect to check to make sure it isn't making shit up, and that made up shit is starting to appear on other parts of the internet. Be sure to click through and confirm what you're using for your paper is true. Get your sources and research material from somewhere other than a generative language model, which are known for making shit up. Yes, Wikipedia is a fine place to start and has rigorously maintained sources.

Work with the support your school has available. My biggest mistake in college was not reaching out when I felt like I was drowning, and I know how easy it is to get in you head and not know where to turn when you need more help. But I've since met a great deal of awesome librarians, tutors, and student aid staff that love nothing more to devote their time to student success. Don't wait at the last moment until they're swamped - you can and will succeed if you reach out early and often.

I, frankly, can't wait for all this AI bullshit to melt down in a catastrophic collapse, but in the meantime, take steps to protect yourself.

[chamiryokuroi]

I hate copilot (AI tool) so much, personally I think it makes developers lazy and worse at logical thinking.

We are working on an UI application that is mocking service call responses for local testing with the use of MSW.

There were some changes done to the service calls that would require updates on the MSW mocking, but instead of looking at the MSW documentation to figure out how to solve that, my coworker asked copilot.

Did it gave him a code that fixed the issue? Yes, but when I asked my coworker how it fixed it he had no idea because a) he doesn’t know MSW, b) he didn’t know what was the issue to begin with.

I did the MSW configuration myself, I read the documentation and I immediately knew what was needed to fix the issue but I wanted my coworker to do it himself so he would get familiarized with MSW so he could fix issues in the future, instead he used AI to solve something without actually understanding neither the issue or the solution.

And this is exactly why I refuse to use AI/Copilot.

[fangatic]

in case you struggle with basic comprehension of the concept of consequence as much as you do with the difference between wrenched and wretched, come walk with me.

chatgpt has an input limit of approximately 4000 characters.

my fics are, in total, approximately 1310408 characters.

that means putting all my fics through chatgpt would require you to make about 328 separate inputs.

(are you still keeping up? this next part is tough, so hold onto your binky)

per query, chatgpt produces 4.32g of co2.

4.32g 328 times is 1417.16g. 1417.16g is 1.417kg.

you could emit the same amount of co2 doing either of the following:

boiling 21 kettles of water

growing four cucumbers in a greenhouse

streaming 9 hours of netflix (the entire first season of arcane, if you need a recommendation)

or, if you were to do something stupid like pay openai to get chatgpt plus to feed it my work in a single pdf query, you'd have spent $20. you know what you could have done with those $20? bought a stanley tools curved-claw wood-handled nailing hammer and hit yourself right between the eyes with it to save me and the environment from the silly ideas you come up with in your soft-boiled head.

[ramadan90s]

For Palestine

[clanwarrior-tumbly]

We all know this DIVA ❤️ 

ignore my 9 HP i got jumped like three rooms ago

[castielrisingabove]

Just me, my cheap pastels and questionable art skills against the world

[pcongrp]

Streamlining Mortgage Processing using Intelligent Document Processing

According to a Freddie Mac report, the US home purchase mortgage originations are expected to grow to 2.2 million dollars in 2023. With the market devoted to mortgage loans multiplying so fast, loan applications will surge.

As a result, the traditional way of loan processing will be ineffective in handling large volumes of loan applications. With so much documentation, the task will become painstakingly tricky for lenders to check and validate data without committing any error.

The overall delay on the part of lenders will further delay the approval process. Therefore, to eliminate all this hassle, automating the loan processing with IDP is essential.

IDP, or Intelligent Document Processing, speeds up credit rating determinations by controlling the flow of information throughout the process. It further lowers the documentation errors prevalent in traditional loan processing methods.

Challenges of Traditional Mortgage Processing

For most lenders manually going through loan applications, the entire process is like a hurdle race. While they cross one hurdle, they come face to face with another.

Below are the three most difficult hurdles that lenders face while processing loan applications manually:

Reducing Turnaround Time

Even though the entire loan processing process is complicated, the end user always demands speedy results. Thus, lenders must be quick in ensuring that loan applications are within the compliance framework. But completing the entire process manually is far more challenging than anybody can imagine.

Finding Competent Resources

At the onboarding stage of the mortgage, the lenders must assess the borrower's finances before moving further. This process is called the pre-underwriting stage in loan processing.

To conduct it smoothly, lenders must find experienced professionals who can effectively execute the process. Otherwise, the loan file may be rejected if the forms are not properly completed or the titles and papers are not adequately examined.

Minimizing Human Error

Assuming that the consumer completes an application and satisfies all requirements in the pre-underwriting process, the next challenge is to overcome data management issues.

From entering information into the banking system to uploading information from the supporting documents, each stage gives rise to the possibility of committing errors when entering data manually.

With each cumbersome step in the loan process, the approval lingers. It is why AI-based document processing technologies like IDP have come to rise.

They can dramatically shorten the entire cycle time for loan processing by categorizing, extracting, and validating data from loan papers. Consequently, lenders may swiftly and accurately accept or refuse loan applications without wasting time.

All-in-all, it can lead to a considerable increase in throughput and loans handled, resulting in significant financial benefits for lenders.

The Rise Of Intelligent Document Processing

With a projected 175 trillion gigabytes of data to be maintained globally by 2025, businesses will need a simplified approach to manage physical and digital data records. It is where IDP becomes crucial in today's time.

IDP is a game-changer for the finance business, especially the mortgage sector, with its end-to-end document processing, validation, and extraction advantages.

By implementing IDP in your loan processing, you can accelerate document processing, improve data accuracy, and reduce the overall timeline of loan processing and approval.

Moreover, you can quickly capture application forms and extract the data required for mortgage pre-processing tasks.

Overall, streamlining loan processing through IDP can offer big-time cost advantages to lenders in a world where mortgage compliance regulations are growing tighter.

To sum it up for you, mortgage lenders will benefit in the following ways from IDP:

· Faster time to process the applications.

· Better use of staff time.

· No errors and zero manual intervention.

· Manage unstructured data.

· Reduced time and cost in operations.

So, it is time to uncover how IDP can transform your lending business if you want to gain a superior edge over your competitor.

And what better than Piazza Consulting Group to take you to the next level?

How Can Piazza Consulting Group's IDP Solution Transform the Mortgage Cycle?

Piazza Consulting Group’s (PCG) considerable expertise in Intelligent Document Processing has helped innumerable customers with their digital transformation journey.

Let us understand how we have helped clients with one real-life example. For a private lender in New Jersey, PCG advised and installed Kofax Total Agility (KTA) for Intelligent Document Processing.

Advantages of KTA:

KTA is designed to be used by citizen developers. It has a user-friendly UI with self-explanatory built-in functionalities. It reduces the need to hire professionals or third-party implementation experts.

KTA’s Scan and Virtual Rescan profile reduces the document prep time by evaluating each page and automatically applying the correct image quality settings. Moreover, you can scan color and black-and-white photos without sorting.

We can attain 95% classification assurance, implying that 95 out of 100 pages can be identified correctly.

Separating all the necessary tax and supporting documents based on Business name and Financial year can be time-consuming. But we can accomplish it in minutes with IDPs Trainable Document Separation and Instruction Classification.

The extraction confidence can be set at 90%. The value extraction from separated forms can be automated using trainable extraction groups that use Advanced Zone Validators and content-based script locators. Usually, extracting from the separated forms and storing them can take some hours, but with this, it can be reduced to minutes.

KTA offers industry-leading Business Process Management capacities wherein user-profiles and Groups can be made with explicit access authorizations to ensure security and compliance.

As a result, PCG optimized the mortgage processing by utilizing Robotic Process Automation and Intelligent Document Processing for mortgage processing services.

Wrapping It Up

To achieve better collaboration between lenders, borrowers, and all the parties involved in the loan processing, automating the entire loan process through IDP is necessary.

So, switch from manual loan processing processes to IDP with Piazza Consulting Group. With our cutting-edge technology, you get the solutions for your organization's software and development demands in one place.

[gayestcowboy]

one of the reasons i hate generative AI is that i have a chronic injury that makes me unable to write by hand for longer than a few sentences and therefore i need a keyboard in order to write essays for classes, and i’m a bit worried that professors won’t allow me to type essays as a result of potential AI use, even though i have a perfectly valid medical reason to need a keyboard. i’ve seen a few posts online saying that the only way to prevent students from relying on AI is to make them write by hand, and while i understand the sentiment and don’t even necessarily disagree with the general point, the matter of accessibility still needs to be addressed somehow, and it’s just a bit frustrating on a personal level as someone who has had to fight with teachers and professors in order for my needs to be met even before the era of chatgpt

[piazzaconsultinggroup]

Unlocking Potential: How Document AI is Shaping Industry Landscapes?

Many businesses are witnessing slow progress as a lot of effort is required to understand the extensive business data. Each company creates many documents across departments to make critical business decisions. This huge volume of data available in the enterprise is called unstructured data, and it isn't easy to extract the information and use it for business processes. As organizations use a variety of documents to proliferate, it is vital to understand the documents more than Optical Character Recognition (OCR). You need technology that can detect and recognize various structural elements in the business documents. Document AI turns the survivor at the juncture.

Document AI is the process of structuring unstructured data for effective business processes. It is no surprise that many industries, from financial services to health care, are unlocking the potential of Artificial Intelligence (AI) and making the most of their investments. The Document AI services leverage the power of Natural Language Processing (NLP) and Machine Learning (ML) technologies to train systems to simulate humans while reviewing documents. It is the need of the hour as it can help derive valuable information from the papers, giving vital insights for business decisions.

Real-world applications of document AI across multiple industries.

Health Care:

Medical Record Management: Document AI PCG can automate patient data extraction and organize the unstructured data for easy access to patient information

Billing and Coding: Document AI solutions assign appropriate codes for medical diagnosis and procedures for error-free billing and streamline insurance and claim processing.

Clinical Documentation: Assist the health care providers in real-time with notetaking and minimize the chances of errors in clinical documentation.

Patient Onboarding: Document AI technology assists in extracting patient data from the forms in the database and verifies them against their identity and insurance details, speeding up the reimbursement process.

Document AI intelligent services will help streamline workflow in the healthcare sector by automating repetitive tasks and reducing the time spent on manual data entry activities. It aids in lowering administrative costs by automating tasks performed by manual labor.

Financial Services:

Document AI PCG is revolutionizing the way financial institutions interact with information. By incorporating automation technology into document processing and extracting hidden insights, financial institutions can perform with the utmost efficiency.

A few of the use cases of document AI include

Loan Processing: Document AI solutions extract information from the loan application and related documents, facilitating a quick verification and approval process.

Accounts Payable and Receivables: Document Artificial intelligence will automate invoice processing and receipt management, improving the accuracy of financial transactions. All the documents are scanned to identify anomalies that indicate fraudulent activities.

Customer Onboarding: Document AI helps streamline KYC by verifying customer documents

Regulatory compliance: The technology helps in extracting data from financial documents and analysing for regulatory compliance.

Fraud detection: The artificially intelligent solutions will analyse transaction patterns to verify document authenticity and any suspicious activities in financial transactions

Document AI solutions can transform the way documents are processed in the organization. It helps in enhancing your risk assessment capabilities and fosters better decision-making. The AI solutions can be tailored to the specific financial needs of the business and can easily integrate into its financial systems.

 Contract and Analysis Management :

Artificial intelligence can help legal professionals review legal contracts quickly, identify critical information and risks involved, and draft standard contracts aligned with predefined guidelines.

Legal Research: Artificial intelligence can easily extract information from huge legal databases, provide information to support legal documents, and identify applicable statutes and regulations. The lengthy legal documents can be easily drafted into concise summaries with the technology.

E-Discovery: Legal proceedings can be complex; AI works to make the process hassle-free by automating the collection of relevant documents. AI can further help in analysing large databases to identify relevant patterns. It helps in the easy finding of pertinent information by categorizing documents.

Due Diligence: Legal advisory and verification turn vital during mergers and acquisitions. AI helps legal professionals easily review documents during diligence processes. The technology helps you identify potential risks in related business deals and transactions. It also automates compliance checks.

Litigation Support: AI uses machine learning technology to predict relevant documents in litigation and organize them for trial preparation. It also helps make the legal path easy for professionals analysing and managing evidence.

By incorporating document AI services into legal services, professionals can witness enhanced efficiency and productivity in their jobs. It automates many legal operations, reducing the need for manual labour. When you use AI in legal services, you can zero in on the cost associated with human errors in document processing.

Conclusion.

Document AI PCG is transforming the way industries work by automating repetitive tasks, minimizing errors, and freeing up human resources to focus on higher-value activities. This not only enhances operational efficiency but also significantly improves the customer and employee experience.

[screecherofthenight]

Guys. GUYS. I was thinking about a Wolf 359 social media au and I came to an earth shattering realization. Kepler is a story time youtuber. he’s a fucking STORYTIME YOUTUBER. I’m having a moment.

[rpainbanking]

Two-thirds of senior legal managers find their contract review workloads increased: How AI/Automation solutions can help

Read the report to learn about the latest contract review trends, major contract management challenges, and how to overcome those challenges by leveraging AI and automation technologies.