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	<title>Amazon Comprehend &#8211; Noise</title>
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		<title>Streamline SMS and Emailing Marketing Compliance with Amazon Comprehend</title>
		<link>https://noise.getoto.net/2024/09/17/streamline-sms-and-emailing-marketing-compliance-with-amazon-comprehend/</link>
		
		<dc:creator><![CDATA[Koushik Mani]]></dc:creator>
		<pubDate>Tue, 17 Sep 2024 20:49:45 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[AWS]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[email marketing]]></category>
		<category><![CDATA[Marketing & Advertising]]></category>
		<category><![CDATA[messaging]]></category>
		<category><![CDATA[multichannel marketing]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a7f61bdc008f7d1642e931a3e34260d9</guid>

					<description><![CDATA[In today’s digital landscape, businesses heavily rely on SMS and email campaigns to engage with customers and deliver timely, relevant messages. The shift towards digital marketing has increased customer engagement, accelerated delivery, and expanded personalization options. Email and SMS marketing is essential to digital strategies according to 44% of Chief Marketing Officers and they allocate […]]]></description>
		
		
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		<title>Top Architecture Blog Posts of 2023</title>
		<link>https://noise.getoto.net/2024/02/29/top-architecture-blog-posts-of-2023/</link>
		
		<dc:creator><![CDATA[Andrea Courtright]]></dc:creator>
		<pubDate>Wed, 28 Feb 2024 23:47:51 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon CloudFront]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Route 53]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon Textract]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Managed Services]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[AWS Well-Architected Framework]]></category>
		<category><![CDATA[AWS Well-Architected Tool]]></category>
		<category><![CDATA[communication]]></category>
		<category><![CDATA[container]]></category>
		<category><![CDATA[data architecture]]></category>
		<category><![CDATA[Disaster Recovery]]></category>
		<category><![CDATA[Disaster Recovery with AWS Managed Services series]]></category>
		<category><![CDATA[event driven architecture]]></category>
		<category><![CDATA[fault injection]]></category>
		<category><![CDATA[Let's Architect]]></category>
		<category><![CDATA[microservices]]></category>
		<category><![CDATA[NLP]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[RDS for PostgreSQL]]></category>
		<category><![CDATA[Regions]]></category>
		<category><![CDATA[Resiliency]]></category>
		<category><![CDATA[SaaS]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Solutions Architecture]]></category>
		<category><![CDATA[Top 10]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ef51f99168ffdac5341350134f7083e4</guid>

					<description><![CDATA[2023 was a rollercoaster year in tech, and we at the AWS Architecture Blog feel so fortunate to have shared in the excitement. As we move into 2024 and all of the new technologies we could see, we want to take a moment to highlight the brightest stars from 2023. As always, thanks to our […]]]></description>
		
		
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		<title>New for Amazon Comprehend – Toxicity Detection</title>
		<link>https://noise.getoto.net/2023/11/09/new-for-amazon-comprehend-toxicity-detection/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Thu, 09 Nov 2023 20:02:46 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e93708011ccfc64b5322cdf26a6c0c95</guid>

					<description><![CDATA[With Amazon Comprehend, you can extract insights from text without being a machine learning expert. Using its built-in models, Comprehend can analyze the syntax of your input documents and find entities, events, key phrases, personally identifiable information (PII), and the overall sentiment or sentiments associated with specific entities (such as brands or products). Today, we […]]]></description>
		
		
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		<title>Unstructured data management and governance using AWS AI/ML and analytics services</title>
		<link>https://noise.getoto.net/2023/10/25/unstructured-data-management-and-governance-using-aws-ai-ml-and-analytics-services/</link>
		
		<dc:creator><![CDATA[Sakti Mishra]]></dc:creator>
		<pubDate>Wed, 25 Oct 2023 18:52:03 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Rekognition]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Amazon Textract]]></category>
		<category><![CDATA[Amazon Transcribe]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e96bf1477afe89a67eaddc7493e3db63</guid>

					<description><![CDATA[In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. We discuss various design patterns and architectures for extracting and cataloging valuable insights from unstructured data using AWS. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.]]></description>
		
		
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		<title>Optimizing data with automated intelligent document processing solutions</title>
		<link>https://noise.getoto.net/2023/04/28/optimizing-data-with-automated-intelligent-document-processing-solutions/</link>
		
		<dc:creator><![CDATA[Deependra Shekhawat]]></dc:creator>
		<pubDate>Fri, 28 Apr 2023 13:36:54 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Textract]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[data architecture]]></category>
		<category><![CDATA[NLP]]></category>
		<category><![CDATA[python]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=29c250a292fd32beba2786f8fdcebb66</guid>

					<description><![CDATA[Many organizations struggle to effectively manage and derive insights from the large amount of unstructured data locked in emails, PDFs, images, scanned documents, and more. The variety of formats, document layouts, and text makes it difficult for any standard Optical Character Recognition (OCR) to extract key insights from these data sources. To help organizations overcome […]]]></description>
		
		
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		<title>New – Process PDFs, Word Documents, and Images with Amazon Comprehend for IDP</title>
		<link>https://noise.getoto.net/2022/12/01/new-process-pdfs-word-documents-and-images-with-amazon-comprehend-for-idp/</link>
		
		<dc:creator><![CDATA[Marcia Villalba]]></dc:creator>
		<pubDate>Thu, 01 Dec 2022 17:51:25 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d0f3bcf41581a213b4bbf386d9f29ce4</guid>

					<description><![CDATA[Today we are announcing a new Amazon Comprehend feature for intelligent document processing (IDP). This feature allows you to classify and extract entities from PDF documents, Microsoft Word files, and images directly from Amazon Comprehend without you needing to extract the text first. Many customers need to process documents that have a semi-structured format, like […]]]></description>
		
		
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		<title>Automate your Data Extraction for Oil Well Data with Amazon Textract</title>
		<link>https://noise.getoto.net/2022/02/24/automate-your-data-extraction-for-oil-well-data-with-amazon-textract/</link>
		
		<dc:creator><![CDATA[Ashutosh Pateriya]]></dc:creator>
		<pubDate>Thu, 24 Feb 2022 17:49:55 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Simple Notification Service (SNS)]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon Textract]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Energy (Oil & Gas)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3585ef68df248f79b1eaf5891cc528c5</guid>

					<description><![CDATA[Traditionally, many businesses archive physical formats of their business documents. These can be invoices, sales memos, purchase orders, vendor-related documents, and inventory documents. As more and more businesses are moving towards digitizing their business processes, it is becoming challenging to effectively manage these documents and perform business analytics on them. For example, in the Oil […]]]></description>
		
		
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		<title>Scale Up Language Detection with Amazon Comprehend and S3 Batch Operations</title>
		<link>https://noise.getoto.net/2021/11/16/scale-up-language-detection-with-amazon-comprehend-and-s3-batch-operations/</link>
		
		<dc:creator><![CDATA[Ameer Hakme]]></dc:creator>
		<pubDate>Tue, 16 Nov 2021 16:51:13 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8b6c9de02bda083133079b0114e071d4</guid>

					<description><![CDATA[Organizations have been collecting text data for years. Text data can help you intelligently address a range of challenges, from customer experience to analytics. These mixed language, unstructured datasets can contain a wealth of information within business documents, emails, and webpages. If you’re able to process and interpret it, this information can provide insight that […]]]></description>
		
		
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		<item>
		<title>Top 5: Featured Architecture Content for September</title>
		<link>https://noise.getoto.net/2021/10/04/top-5-featured-architecture-content-for-september/</link>
		
		<dc:creator><![CDATA[Elyse Lopez]]></dc:creator>
		<pubDate>Mon, 04 Oct 2021 16:31:04 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon OpenSearch Service (Successor to Amazon Elasticsearch Service)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Solutions Implementations]]></category>
		<category><![CDATA[AWS Well-Architected]]></category>
		<category><![CDATA[Graviton]]></category>
		<category><![CDATA[Top 5]]></category>
		<category><![CDATA[Top Posts*]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=285a637f956a9e02dadcfa6abf02d6ab</guid>

					<description><![CDATA[The AWS Architecture Center provides new and notable reference architecture diagrams, vetted architecture solutions, AWS Well-Architected best practices, whitepapers, and more. This blog post features some of our best picks from the new and newly updated content we released in the past month. 1. AWS Best Practices for DDoS Resiliency Prioritizing the availability and responsiveness […]]]></description>
		
		
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		<title>Field Notes: How to Prepare Large Text Files for Processing with Amazon Translate and Amazon Comprehend</title>
		<link>https://noise.getoto.net/2021/09/27/field-notes-how-to-prepare-large-text-files-for-processing-with-amazon-translate-and-amazon-comprehend/</link>
		
		<dc:creator><![CDATA[Veeresh Shringari]]></dc:creator>
		<pubDate>Mon, 27 Sep 2021 20:51:41 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Translate]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Field Notes]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1647336bb283ca38fc8877d711fb6bd5</guid>

					<description><![CDATA[Biopharmaceutical manufacturing is a highly regulated industry where deviation documents are used to optimize manufacturing processes. Deviation documents in biopharmaceutical manufacturing processes are geographically diverse, spanning multiple countries and languages. The document corpus is complex, with additional requirements for complete encryption. Therefore, to reduce downtime and increase process efficiency, it is critical to automate the […]]]></description>
		
		
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		<title>Simplify data discovery for business users by adding data descriptions in the AWS Glue Data Catalog</title>
		<link>https://noise.getoto.net/2021/08/23/simplify-data-discovery-for-business-users-by-adding-data-descriptions-in-the-aws-glue-data-catalog/</link>
		
		<dc:creator><![CDATA[Karim Hammouda]]></dc:creator>
		<pubDate>Mon, 23 Aug 2021 16:12:03 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=5c335e67c1f74541441abe98a1feca4a</guid>

					<description><![CDATA[In this post, we discuss how to use AWS Glue Data Catalog to simplify the process for adding data descriptions and allows data analysts to access, search, and discover this cataloged metadata with BI tools. In this solution, we use AWS Glue Data Catalog, to break the silos between cross-functional data producer teams, sometimes also known […]]]></description>
		
		
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		<title>Automate Document Processing in Logistics using AI</title>
		<link>https://noise.getoto.net/2021/08/19/automate-document-processing-in-logistics-using-ai/</link>
		
		<dc:creator><![CDATA[Manikanth Pasumarti]]></dc:creator>
		<pubDate>Wed, 18 Aug 2021 23:04:05 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Textract]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Document Processing]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d00617c49d44023b108a552fde5ea802</guid>

					<description><![CDATA[Multi-modal transportation is one of the biggest developments in the logistics industry. There has been a successful collaboration across different transportation partners in supply chain freight forwarding for many decades. But there’s still a considerable overhead of paperwork processing for each leg of the trip. Tens of billions of documents are processed in ocean freight […]]]></description>
		
		
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		<title>Benefits of Modernizing On-premise Analytics with an AWS Lake House</title>
		<link>https://noise.getoto.net/2021/07/30/benefits-of-modernizing-on-premise-analytics-with-an-aws-lake-house/</link>
		
		<dc:creator><![CDATA[Vikas Nambiar]]></dc:creator>
		<pubDate>Fri, 30 Jul 2021 15:28:11 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=52476939229754327ba1f2401364448a</guid>

					<description><![CDATA[Organizational analytics systems have shifted from running in the background of IT systems to being critical to an organization’s health. Analytics systems help businesses make better decisions, but they tend to be complex and are often not agile enough to scale quickly. To help with this, customers upgrade their traditional on-premises online analytic processing (OLAP) […]]]></description>
		
		
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		<title>Field Notes: Building a Scalable Real-Time Newsfeed Watchlist Using Amazon Comprehend</title>
		<link>https://noise.getoto.net/2021/07/28/field-notes-building-a-scalable-real-time-newsfeed-watchlist-using-amazon-comprehend/</link>
		
		<dc:creator><![CDATA[Zahi Ben Shabat]]></dc:creator>
		<pubDate>Wed, 28 Jul 2021 14:28:23 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Field Notes]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3dd4e48c8a014a808324462e77dfadc3</guid>

					<description><![CDATA[One of the challenges businesses have is to constantly monitor information via media outlets and be alerted when a key interest is picked up, such as individual, product, or company information. One way to do this is to scan media and news feeds against a company watchlist. The list may contain personal names, organizations or […]]]></description>
		
		
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		<title>Integrating Redaction of FinServ Data into a Machine Learning Pipeline</title>
		<link>https://noise.getoto.net/2021/07/26/integrating-redaction-of-finserv-data-into-a-machine-learning-pipeline/</link>
		
		<dc:creator><![CDATA[Ravikant Gupta]]></dc:creator>
		<pubDate>Mon, 26 Jul 2021 16:08:07 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Financial Services]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f223faf48c9bec20826468cc453f242e</guid>

					<description><![CDATA[Financial companies process hundreds of thousands of documents every day. These include loan and mortgage statements that contain large amounts of confidential customer information. Data privacy requires that sensitive data be redacted to protect the customer and the institution. Redacting digital and physical documents is time-consuming and labor-intensive. The accidental or inadvertent release of personal information […]]]></description>
		
		
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		<title>CohnReznick Automates Claim Validation Workflow Using AWS AI Services</title>
		<link>https://noise.getoto.net/2021/07/23/cohnreznick-automates-claim-validation-workflow-using-aws-ai-services/</link>
		
		<dc:creator><![CDATA[Rajeswari Malladi]]></dc:creator>
		<pubDate>Fri, 23 Jul 2021 15:56:16 +0000</pubDate>
				<category><![CDATA[Amazon Augmented AI]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Textract]]></category>
		<category><![CDATA[Architecture]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a4bf5f1cf480717634e9216188d85942</guid>

					<description><![CDATA[This post was co-written by Winn Oo and Brendan Byam of CohnReznick and Rajeswari Malladi and Shanthan Kesharaju CohnReznick is a leading advisory, assurance, and tax firm serving clients around the world. CohnReznick’s government and public sector practice provides claims audit and verification services for state agencies. This process begins with recipients submitting documentation as […]]]></description>
		
		
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		<title>Create a secure data lake by masking, encrypting data, and enabling fine-grained access with AWS Lake Formation</title>
		<link>https://noise.getoto.net/2021/07/12/create-a-secure-data-lake-by-masking-encrypting-data-and-enabling-fine-grained-access-with-aws-lake-formation/</link>
		
		<dc:creator><![CDATA[Shekar Tippur]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 17:23:52 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Simple Storage Services (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=6b26b538c76746fd83eade8471e95f80</guid>

					<description><![CDATA[You can build data lakes with millions of objects on Amazon Simple Storage Service (Amazon S3) and use AWS native analytics and machine learning (ML) services to process, analyze, and extract business insights. You can use a combination of our purpose-built databases and analytics services like Amazon EMR, Amazon Elasticsearch Service (Amazon ES), and Amazon […]]]></description>
		
		
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		<title>Forwarding emails automatically based on content with Amazon Simple Email Service</title>
		<link>https://noise.getoto.net/2021/05/19/forwarding-emails-automatically-based-on-content-with-amazon-simple-email-service/</link>
		
		<dc:creator><![CDATA[Murat Balkan]]></dc:creator>
		<pubDate>Wed, 19 May 2021 16:26:26 +0000</pubDate>
				<category><![CDATA[*Post Types]]></category>
		<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon SES]]></category>
		<category><![CDATA[Amazon Simple Email Service (SES)]]></category>
		<category><![CDATA[Amazon Simple Storage Services (S3)]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[email]]></category>
		<category><![CDATA[lambda]]></category>
		<category><![CDATA[messaging]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[storage]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b55ef6c8cda34d1247a5649109073567</guid>

					<description><![CDATA[Introduction Email is one of the most popular channels consumers use to interact with support organizations. In its most basic form, consumers will send their email to a catch-all email address where it is further dispatched to the correct support group. Often, this requires a person to inspect content manually. Some IT organizations even have […]]]></description>
		
		
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