#Textract

[markwatsonsbooks]

AWS Ultimate Guide: From Beginners to Advanced by SK Singh

This is a very comprehensive book on AWS, from beginners to advanced. The book has extensive diagrams to help understand topics much easier way.

To make understanding the subject a smoother experience, the book is divided into the following sections:

Cloud Computing

AWS Fundamentals (What is AWS, AWS Account, AWS Free Tier, AWS Cost & Billing Management, AWS Global Cloud Infrastructure (part I)), IAM, EC2)

AWS Advanced (EC2 Advanced, ELB, Advanced S3, Route 53, AWS Global Cloud Infrastructure (part II), Advanced Storage on AWS, AWS Monitoring, Audit, and Performance),

AWS RDS and Databases (AWS RDS and Cache, AWS Databases)

Serverless (Serverless Computing, AWS Integration, and Messaging)

Container & CI/CD (Container, AWS CI/CD services)

Data & Analytics (Data & Analytics)

Machine Learning (AWS ML/AI Services)

Security (AWS Security & Encryption, AWS Shared Responsibility Model, How to get Support on AWS, Advanced Identity)

Networking (AWS Networking)

Disaster Management (Backup, Recovery & Migrations)

Solutions Architecture (Cloud Architecture Key Design Principles, AWS Well-Architected Framework, Classic Solutions Architecture)

Includes AWS services/features such as IAM, S3, EC2, EC2 purchasing options, EC2 placement groups, Load Balancers, Auto Scaling, S3 Glacier, S3 Storage classes, Route 53 Routing policies, CloudFront, Global Accelerator, EFS, EBS, Instance Store, AWS Snow Family, AWS Storage Gateway, AWS Transfer Family, Amazon CloudWatch, EventBridge, CloudWatch Insights, AWS CloudTrail, AWS Config, Amazon RDS, Amazon Aurora, Amazon ElatiCache, Amazon DocumentDB, Amazon Keyspaces, Amazon Quantum Ledger Database, Amazon Timestream, Amazon Managed Blockchain, AWS Lambda, Amazon DynamoDB, Amazon API Gateway, SQS, SNS, SES, Amazon Kinesis, Amazon Kinesis Firehose, Amazon Kinesis Data Analytics, Amazon Kinesis Data Streams, Amazon Kinesis ECS, Amazon Kinesis ECR, Amazon EKS, AWS CloudFormation, AWS Elastic Beanstalk, AWS CodeBuild, AWS OpsWorks, AWS CodeGuru, AWS CodeCommit, Amazon Athena, Amazon Redshift, Amazon EMR, Amazon QuickSight, AWS Glue, AWS Lake Formation, Amazon MSK, Amazon Rekognition, Amazon Transcribe, Amazon Polly, Amazon Translate, Amazon Lex, Amazon Connect, Amazon Comprehend, Amazon Comprehend Medical, Amazon SageMaker, Amazon Forecast, Amazon Kendra, Amazon Personalize, Amazon Textract, Amazon Fraud Detector, Amazon Sumerian, AWS WAF, AWS Shield Standard, AWS Shield Advanced, AWS Firewall Manager, AWS GuardDuty, Amazon Inspector, Amazon Macie, Amazon Detective, SSM Session Manager, AWS Systems Manager, S3 Replication & Encryption, AWS Organization, AWS Control Tower, AWS SSO, Amazon Cognito, AWS VPC, NAT Gateway, VPC Endpoints, VPC Peering, AWS Transit Gateway, AWS Site-to-Site VPC, Database Management Service (DMS), and many others.

Order YOUR Copy NOW: https://amzn.to/4bfoHQy via @amazon

[aws-solutions]

Celebal Technologies: Pioneering AWS Cloud Solutions for Business Transformation 

Celebal Technologies is a leading AWS Advanced Tier Services Partner, recognized for our deep understanding of core AWS services. This expertise empowers us to design, build, and manage robust cloud architectures that perfectly align with your unique business requirements. 

Our team boasts a comprehensive portfolio of advanced AWS certifications, solidifying our proven track record of delivering secure, scalable, and cost-effective solutions on the AWS platform. As one of the leading AWS consulting services, we leverage the full potential of AWS to craft and implement cloud solutions that unlock the power of your data and propel organizational transformation.  Our all-encompassing suite of services equips you to achieve your business objectives through cutting-edge technology. 

Unleashing the Power of AWS Solutions 

Celebal Technologies offers a comprehensive range of AWS cloud solutions designed to optimize your operations and unlock new possibilities on AWS: 

SAP BW Migration: Simplify migrating your SAP BW to cloud platforms like Redshift, Datasphere, or Databricks using our SAP BW Migration Acceleration Packages. These packages can significantly speed up the process by 50-60% thanks to built-in solutions that translate and analyze even the most complex SAP structures, logic, and data models. This ensures a smooth and efficient migration. 

Contact Center Intelligence: This AI-powered solution leverages AWS Bedrock and other Amazon Web Services to unlock valuable insights from calls. It analyzes past interactions, assists agents in real-time, and automates tasks. The result? A significant boost in efficiency – calls are 30% shorter, resolutions rise by 25%, escalations drop by 40%, and complex issues are handled 50% faster. Additionally, agents save a massive 90% of search time and automate forms with live transcriptions, tripling their overall productivity. 

CT-Miner: Unveiling hidden knowledge from massive documents becomes effortless with this automated system. Powered by deep learning, it securely processes large files and delivers real-time insights.  Search through documents, extract key details, ask questions in natural language, uncover hidden themes, generate summaries, handle multiple languages, automatically import data, and even perform semantic image searches – all within a secure AWS environment. 

SAS Migration: Unleash the full potential of your data with Celebal's seamless SAS workload migration to the Lakehouse Platform. This powerful AWS-based solution tackles scalability, performance, and workload variety head-on, ensuring a quicker and more cost-effective migration. By leveraging the Lakehouse Platform, you'll unlock a world of comprehensive analytics possibilities, empowering your organization with faster data processing and deeper insights. 

SAP PO to Invoice Reconciliation Solution: Streamline your purchase-to-pay process with this automated solution. It utilizes Cloud Platform Integration (CPI) to effortlessly extract emails, securely stores purchase orders (POs) in Amazon S3, and leverages Textract for intelligent data extraction.  By validating POs against Goods Received Notices (GRNs) and automating invoice posting within SAP, the system ensures data accuracy and facilitates open item processing.  This translates to error-free data capture, optimized resource allocation, and automated validation checks –  all contributing to seamless regulatory compliance. 

Procurement AI Assistant: Powered by the cutting-edge capabilities of Amazon Bedrock and Anthropic Claude, our GenAI solution revolutionizes procurement by seamlessly integrating SAP data with unstructured sources. This AI powerhouse automates tasks like requisitioning, supplier analysis, spend optimization, and inventory management, while providing valuable market insights. Experience significant productivity gains through features like automated inventory monitoring, purchase orders, streamlined sourcing processes, improved supplier communication, and real-time KPI tracking. 

Sales AI Assistant: Take your sales team to the next level with our AI solution. It seamlessly combines data from your SAP system and other sources to prioritize leads, automate reports, analyze customer sentiment, and track performance across all sales activities. This not only ensures clean CRM data but also empowers your team with automated analytics and reporting, driving excellence in cross-selling, upselling, and uncovering new opportunities. 

STARGen AI: Forget complex queries! STARGen AI is your key to unlocking insights from massive datasets. This revolutionary AI solution uses natural language processing to understand your questions and translate them into SQL queries for structured data tables. Powered by cutting-edge large language models like Anthropic Claude and Llama 2, STARGen AI makes data interaction effortless, allowing you to extract valuable information with ease. 

Partner with Celebal Technologies for a Successful Cloud Journey 

By partnering with Celebal Technologies, you gain access to a team of AWS experts who are passionate about helping you achieve your business goals.  We will work closely with you to understand your specific needs and challenges, and then design and implement a customized cloud solution that delivers optimal results. 

Contact Celebal Technologies today at enterprisesales@celebaltech.com and unlock the full potential of AWS services for your business! 

[kariniai]

Amazon Bedrock and the Rise of Compound AI Systems

Introduction

Generative AI has become a shared C-Level priority with many enterprises setting goals in their annual statement and numerous press releases. As Generative AI is gaining traction, there is much anticipation around their evolving model performance capabilities. However, as developers increasingly move beyond Generative AI pilots, the trend is shifting to compound systems. The SOTA results often come from compound systems incorporating multiple components rather than relying solely on standalone models. A recent study by MIT Research has observed that 60% of LLM deployments in businesses incorporate some form of retrieval-augmented generation (RAG), with 30% utilizing multi-step chains or compound systems.

Rise of Compound Systems

A Compound AI System addresses AI tasks through multiple interconnected components, including several calls to different models, retrievers, or external tools. AI models are constantly improving, with scalability seemingly limitless. However, complex, multifaceted compound systems increasingly achieve the most advanced results. Combining the models with other components allows businesses to build dynamic systems that can address complex scenarios based on user queries at runtime, reduce model hallucinations, and increase user control and trust. Enterprises can design their compound systems based on their performance goals. E.g. In some applications, even the largest model may need to be more performant or too expensive. Still, an ensemble of smaller fine-tuned models augmented with optimized search and retrieve capabilities can give the best results. Github Copilot is an excellent example of this approach. While enterprises are making a shift in compounding AI systems, the emerging challenges are how to design, optimize & operate these systems. The compound systems consist of a data processing loop, query optimization loop, and operations management capabilities, and they can be independently optimized for better performance.

Karini AI Platform powered by AWS Gen AI for Compound AI Systems

AWS provides a broad set of Gen AI managed services such as Amazon Bedrock, Amazon SageMaker, and OpenSearch to build scalable generative AI applications. Amazon Bedrock is the most trusted and scalable fully managed service that offers a choice of high-performing foundation models from leading AI model providers and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Karini AI is a no-code Generative AI platform with a broad set of capabilities to build Compound AI systems purposefully built using AWS services to speed up production-grade application development. AWS customers can use best-of-breed capabilities to build production-grade RAG in a matter of minutes.

Data Processing Loop: Karini AI utilizes Amazon Textract and proprietary technologies to create LLM-ready data and provides built-in chunking algorithms. Customers can choose Amazon Bedrock hosted models or custom models hosted via Amazon SageMaker for chunking. Amazon OpenSearch delivers a secure and scalable vector store.

Query Optimization Loop: Karini AI employs the easy-to-use Prompt Playground to author, test, and compare the model performance of Bedrock-hosted models or custom models using Amazon SageMaker. Enterprises can leverage one of the many built-in chains, such as Q&A, summarization, classification, or Agentic workflows. Multiple ways are available to optimize retrieval using techniques such as query rewrite, query expansion, and context generation. Customers can also customize LLM-driven responses for greetings and follow-up questions.

Operations and Visibility: Karini AI provides built-in observability for tracing RAG chains and understanding low performing conversations. Copilot supports fine-grained feedback collection to gather user preferences and create instruction fine-tuning datasets. The built-in dashboards provide system performance and cost monitoring across model endpoints for Amazon Bedrock and SageMaker-hosted models. Karini AI provides enterprise connectors for significant number of data sources such as Amazon S3, Websites, Google Storage, Azure Storage, and Dropbox to unify data silos into a single vector store and also respects source system role-based access controls during serving.

Here is a quick end-2-end Karini AI Generative AI recipe powered by Amazon Bedrock models.

Conclusion:

Compound AI systems mark a significant advancement in AI technology by integrating various components to solve complex challenges that were once out of reach for traditional AI models. These systems are highly flexible, allowing for tailored responses and greater control over outputs. Karini AI’s advanced platform, coupled with Amazon Bedrock, enables the creation of sophisticated compound AI systems for any use case. By adopting these systems, businesses can enhance innovation, increase the quality and reliability of their AI solutions, and build stronger trust with their customers.

About Us: Fueled by innovation, we're making the dream of robust Generative AI systems a reality. No longer confined to specialists, Karini.ai empowers non-experts to participate actively in building/testing/deploying Generative AI applications. As the world's first GenAIOps platform, we've democratized GenAI, empowering people to bring their ideas to life – all in one evolutionary platform. Contact: Jerome Mendell (404) 891-0255 sales@karini.ai https://www.karini.ai/

[fileformatcom-blog]

Transform Images into Text using Leading Open Source OCR Libraries

Open Source OCR APIs offer a powerful and cost-effective solution for integrating optical character recognition functionality into applications and workflows. In today's digital era, the ability to extract text from images is increasingly crucial across various industries and applications. Whether it's converting scanned documents into editable text, extracting data from images, or enabling accessibility features for visually impaired individuals, Optical Character Recognition (OCR) technology plays a pivotal role. These APIs are typically built on open source libraries and frameworks, making the underlying code accessible for inspection, modification, and redistribution. By leveraging open-source OCR APIs, software developers can harness the power of community-driven innovation, benefit from collaborative development efforts, and customize the OCR functionality to suit their specific needs. One of the primary advantages of open source OCR APIs is their cost-effectiveness. Since the software is freely available and can be modified to meet specific requirements, organizations can significantly reduce their licensing and development costs compared to proprietary OCR solutions. Moreover, software developers have the flexibility to customize the OCR functionality according to their unique use cases and requirements. By exploring popular options such as Tesseract, OCRopus, Kraken, EasyOCR, and Textract, software developers can unlock the full potential of OCR technology and drive innovation in document processing, data extraction, accessibility, and beyond.

[ai-news]

In today’s business landscape, organizations are constantly seeking ways to optimize their financial processes, enhance efficiency, and drive cost savings. One area that holds significant potential for improvement is accounts payable. On a high leve #AI #ML #Automation

[kenclinger]

Textracts (Tom Furgas)

music & images by Tom Furgas

homemade 1990s video production - Ken Clinger

[softwaresbr]

Introdução: No mundo atual, a extração de texto e dados de documentos digitalizados desempenha um papel fundamental nas operações de muitas empresas. Uma solução popular para essa tarefa é o Cloud Textract, que utiliza a tecnologia de aprendizado de máquina para automatizar o processo. Neste artigo, exploraremos como o Cloud Textract funciona e como ele pode beneficiar as empresas.

O que é Cloud Textract? Cloud Textract é um serviço SaaS (Software as a Service) da Amazon Web Services (AWS) que utiliza aprendizado de máquina para extrair automaticamente texto, escrita manual e dados de documentos digitalizados. Este serviço vai além do simples reconhecimento óptico de caracteres (OCR), pois é capaz de identificar, compreender e extrair dados de formulários e tabelas.

[objectwaysblog]

Unleashing Hidden Data: Extracting Insights with Annotation Tools for PDFs 

In today's digital age, businesses generate and process a large volume of documents. These documents can be in a variety of formats, including PDFs, images, and scanned documents. Extracting data from these documents can be a challenge, but it is essential for many business processes. 

One way to extract data from documents is to use optical character recognition (OCR) software. OCR software can automatically read and convert text from images and scanned documents into a machine-readable format. However, OCR software is not always accurate, and it can be difficult to extract structured data from unstructured text. 

Another way to extract data from documents is to use a purpose-built annotation tool. Annotation tools allow users to highlight and annotate specific parts of a document. This can be helpful for identifying important information and for extracting structured data. 

There are a number of purpose-built annotation tools available, including Amazon Textract, Google Cloud Vision API, and Microsoft Azure Cognitive Services. These tools offer a variety of features, including the ability to extract text, identify entities, and extract tables. 

In addition to extracting data, annotation tools can also be used to improve the quality of OCR results. By highlighting and annotating specific parts of a document, users can help OCR software to better understand the context of the text. This can lead to more accurate OCR results. 

Annotation tools can be a valuable tool for extracting data from PDFs and other documents. By using a purpose-built annotation tool, businesses can improve the accuracy of their OCR results and extract structured data from unstructured text. 

Here are some of the benefits of using a purpose-built annotation tool: 

Improved accuracy of OCR results 

Ability to extract structured data from unstructured text 

Easier to identify important information 

Improved efficiency of document processing 

If you are looking for a way to extract data from PDFs and other documents, a purpose-built annotation tool is a good option. These tools can help you to improve the accuracy of your OCR results, extract structured data from unstructured text, and identify important information. 

Here are some of the steps involved in using a purpose-built annotation tool to extract data from PDFs: 

Upload the PDF to the annotation tool. 

Highlight and annotate the text that you want to extract. 

Save the annotated PDF. 

Run the OCR software on the annotated PDF. 

The OCR software will extract the text from the annotated PDF. 

Here are some of the considerations when choosing a purpose-built annotation tool: 

The features offered by the tool. 

The accuracy of the OCR results. 

The ease of use of the tool. 

The price of the tool. 

Summary:  

The blog provides a step-by-step guide on using a purpose-built annotation tool to extract data from PDFs, which includes uploading the PDF, highlighting and annotating the text, and running OCR software on the annotated PDF. 

Overall, purpose-built annotation tools offer improved accuracy of OCR results, the ability to extract structured data from unstructured text, ease of identifying important information, and increased efficiency in document processing. They prove to be a valuable solution for businesses seeking to enhance data extraction from PDFs and other documents. Contact us sales@objectways.com for more details.  

[mindfiresolutions-blog]

Data Extraction for Healthcare Claims Processing

Executive Summary

The client wanted us to develop an application that would help them automate the high volume and arduous task of extracting data arriving from multiple sources and assist in claim processing. We built them a solution that extracts data from the ROI request forms, presents it to an operator for validation, and after doing so passes the results back to ROI Online through its API. Mindfire Solutions has implemented custom machine vision, natural language processing (NLP), and Robotic Process Automation (RPA) within the application to facilitate attended automation of the logging-and-assignment workflows. The logging-and-assignment application also enables the operator to pragmatically forecast the productivity gains that automation yields when deployed at scale on the Kubernetes cluster.

About our Client

Client : Confidential

Location: USA

Industry: Healthcare

Technologies

Python, Django, GraphQL, Vue.js, PWA, Azure, REST, Azure SQL, Google Vision, Amazon Textract, Solr, GIT, Docker, Kubernetes, Azure Key Vault, Azure BLOB storage, Jenkins

Download Full Case Study

[udauda]

TIL about AWS SAA

リソースグループ

Amazon EC2 インスタンス、AWS CloudFormation スタック、Amazon S3 バケットなどのリソースをまとめて管理する機能。リソースグループとは、すべてが同じ AWS リージョンにあり、グループのクエリで指定された条件に適合する AWS リソースのコレクションのこと。グループを構築するために使用できる 2 つのタイプのクエリがある。

タグベース

AWS CloudFormation スタックベース

Lambda@Edge

CloudFront の機能で、アプリケーションユーザーに近いロケーションでコードを実行できるため、パフォーマンスが向上し待ち時間が短縮される。アプリケーションコードの変更なしに利用できる。

AWS Transfer Family

他のサーバーからS3 や EFS に SFTP、FTPS、FTP上でファイル転送を実行できるフルマネージド型のサービス。

Amazon Textract

印刷・手書きされた文書をPDFまたはJPG、PNG画像化し、テキスト・表からデータを抽出するサービス。日本語は非対応のため東京・大阪リージョンでの利用はできない。

[craigbrownphd-blog-blog]

AWS adds AI features to Textract, Transcribe and Kendra https://www.infoworld.com/article/3681662/aws-adds-ai-features-to-textract-transcribe-and-kendra.html?utm_source=dlvr.it&utm_medium=tumblr#tk.rss_machinelearning

[kariniai]

Next-Gen Software: Karini AI’s AWS Integration

We are thrilled to announce that Karini AI has officially partnered with Amazon Web Services (AWS) as an Independent Software Vendor (ISV). This strategic partnership, effective from October 16, 2023, marks a significant milestone in our journey towards innovation and excellence.

Karini AI will leverage AWS's powerful cloud computing capabilities and managed AI services (Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, and Amazon Textract) to enhance our Generative AI solutions. Our partnership aims to deliver scalable, secure, and efficient services to our joint customers, enabling them to harness the full potential of Gen AI.

As an ISV on AWS, Karini AI gains access to the AWS Partner Network's wealth of resources, training, and tools, which will accelerate our platform’s development and go-to-market strategy. This means improved services for our existing clients and the opportunity to reach new markets and industries.

Here’s what you can expect from Karini AI and AWS:

Enhanced Performance: By integrating our AI solutions with AWS’s robust cloud infrastructure, we're set to offer unparalleled performance and reliability.

Scalability: Whether you're a startup or an enterprise, our services will scale with your needs, thanks to the elasticity of AWS.

Security: AWS's comprehensive security features will ensure the highest level of data protection for our clients' sensitive information.

Innovation: This partnership fosters an environment for continuous innovation, where Karini.ai can develop and deploy cutting-edge features faster than ever.

Stay tuned for more updates on how this partnership will unfold new offerings and opportunities for our customers.

Together with AWS, Karini AI is excited to embark on this new chapter of growth and transformation. Let's evolve together!

About Karini AI:

Fueled by innovation, we're making the dream of robust Generative AI systems a reality. No longer confined to specialists, Karini.ai empowers non-experts to participate actively in building/testing/deploying Generative AI applications. As the world's first GenAIOps platform, we've democratized GenAI, empowering people to bring their ideas to life – all in one evolutionary platform.

Contact:

Jerome Mendell

(404) 891-0255

sales@karini.ai