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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Journey to AI blog

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

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A Beginner’s Guide to Data Warehousing

Unite.AI

This article will explore data warehousing, its architecture types, key components, benefits, and challenges. What is Data Warehousing? Data warehousing is a data management system to support Business Intelligence (BI) operations. It can handle vast amounts of data and facilitate complex queries.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning Blog

This approach, when applied to generative AI solutions, means that a specific AI or machine learning (ML) platform configuration can be used to holistically address the operational excellence challenges across the enterprise, allowing the developers of the generative AI solution to focus on business value.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning Blog

PCA provides an entire architecture around ingesting audio files in a fully automated workflow with AWS Step Functions , which is initiated when an audio file is delivered to a configured Amazon Simple Storage Service (Amazon S3) bucket. PCA also offers a web-based user interface that allows customers to browse call transcripts.

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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning Blog

Across 180 countries, millions of developers and hundreds of thousands of businesses use Twilio to create personalized experiences for their customers. As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads.

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Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

AWS Machine Learning Blog

The PdMS includes AWS services to securely manage the lifecycle of edge compute devices and BHS assets, cloud data ingestion, storage, machine learning (ML) inference models, and business logic to power proactive equipment maintenance in the cloud. It’s an easy way to run analytics on IoT data to gain accurate insights.

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Discover the Snowflake Architecture With All its Pros and Cons- NIX United

Mlearning.ai

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Therefore, quick data ingestion for instant use can be challenging.