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What are the different types of sourcing?

IBM Services

Sourcing isn’t just a concern for procurement teams. The sourcing process sits within supply chain management and is used for identifying, vetting and selecting the best suppliers. Think of it this way: sourcing is the “who” (the suppliers themselves) and procurement is the “what” (goods and services).

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Maximizing your event-driven architecture investments: Unleashing the power of Apache Kafka with IBM Event Automation

IBM Services

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. At the forefront of this event-driven revolution is Apache Kafka, the widely recognized and dominant open-source technology for event streaming.

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Accelerate and Scale your Event Driven Architecture with GridGain

Perficient Digital Transformation

Are you looking for a way to accelerate and scale your Event Driven Architecture in the cloud? Introducing GridGain Performance for Event Driven Architectures GridGain Performance is the ideal solution for cloud-based applications requiring event-driven architectures. GridGain is here to help.

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Log Pipeline Executions to File in Azure Data Factory

Perficient Digital Transformation

It will be a critical task to analyze and store all this data. For a more in-depth look at ADF and its basic functions, please check out my colleague’s blog post here. After creating the source dataset, I will add a query to the source. The above query will write the events information to a.CSV file. pipeline().DataFactory

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What is eSourcing (electronic Sourcing)?

Obobo

What is eSourcing (electronic Sourcing)? eSourcing, otherwise known as electronic sourcing describes a cloud-based digital solution for collecting and comparing information about multiple suppliers in order to help a buyer make a more informed choice. E-sourcing is a small, but crucial, component of eProcurement. eAuction.

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IBM watsonx.ai: Open source, pre-trained foundation models make AI and automation easier than ever before

IBM Business Partners

You need to collect, curate, and annotate data for any specific task you want to perform. If you want to start a different task or solve a new problem, you often must start the whole process over again—it’s a recurring cost. But that’s all changing thanks to pre-trained, open source foundation models.

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Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Services

Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. Building a model requires specialized, hard-to-find skills — and each new task requires repeating the process. Data curation is a task that’s never truly finished.