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  2. Batch processing - Wikipedia

    en.wikipedia.org/wiki/Batch_processing

    The batch size refers to the number of work units to be processed within one batch operation. Some examples are: The number of lines from a file to load into a database before committing the transaction. The number of messages to dequeue from a queue. The number of requests to send within one payload.

  3. Diffeo, Inc. - Wikipedia

    en.wikipedia.org/wiki/Diffeo,_Inc.

    In 2021, Salesforce announced an AI-powered assistant that helps B2B sales people with their deals. Briggs, who was previously CEO at Diffeo, is the Senior Director of Product Management, and helped in the creation of this AI assistant. This technology comes from Salesforce's acquisition of Diffeo, which also brought them Briggs. [25]

  4. Job scheduler - Wikipedia

    en.wikipedia.org/wiki/Job_scheduler

    A job scheduler is a computer application for controlling unattended background program execution of jobs. [1] This is commonly called batch scheduling, as execution of non-interactive jobs is often called batch processing, though traditional job and batch are distinguished and contrasted; see that page for details.

  5. Salesforce - Wikipedia

    en.wikipedia.org/wiki/Salesforce

    Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California.It provides applications focused on sales, customer service, marketing automation, e-commerce, analytics, artificial intelligence, and application development.

  6. Multiclass classification - Wikipedia

    en.wikipedia.org/wiki/Multiclass_classification

    Based on learning paradigms, the existing multi-class classification techniques can be classified into batch learning and online learning. Batch learning algorithms require all the data samples to be available beforehand. It trains the model using the entire training data and then predicts the test sample using the found relationship.

  7. Batch production - Wikipedia

    en.wikipedia.org/wiki/Batch_production

    For example, if there is a mistake in the process, it can be fixed without as much loss compared to mass production. [4] This can also save money by taking less risk for newer plans and products etc. [ 5 ] As a result, this allows batch manufacturing to be changed or modified depending on company needs. [ 6 ]