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

AWS Machine Learning Blog

However, a more holistic organizational approach is crucial because generative AI practitioners, data scientists, or developers can potentially use a wide range of technologies, models, and datasets to circumvent the established controls. Tanvi Singhal is a Data Scientist within AWS Professional Services.

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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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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.

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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

It involves the design, development, and maintenance of systems, tools, and processes that enable the acquisition, storage, processing, and analysis of large volumes of data. Data Engineers work to build and maintain data pipelines, databases, and data warehouses that can handle the collection, storage, and retrieval of vast amounts of data.

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Differentiation: Microsoft Fabric vs Power BI

Pickl AI

Additionally, it provides the tools needed to develop AI-powered predictive models , automate workflows, and create interactive dashboards, making it a go-to platform for teams aiming to maximise datas potential. Developed by Microsoft, it is designed to simplify Data Analysis for users at all levels, from beginners to advanced analysts.

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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. Outside of work, Fauzan enjoys spending time in nature.

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