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Guest Post: The Relationship Between Cloud ERP and Big Data

Natalie Petouhof

Enterprise resource planning (ERP) within the cloud is the engine utilizing data produced on the plant floor to power manufacturers. Cloud ERP gives manufacturers more precise and real-time data. Big data is popular amongst business intelligence and analytics applications. Image Source: FanRP ). **.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning

In this post, we describe how we reduced the modelling time by 70% by doing the feature engineering and modelling using Amazon Forecast. The vast array of models and the sophisticated feature engineering capabilities offered by AWS Forecast proved more advantageous and optimized our resource utilization.

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The Best Natural Language Processing (NLP) Solutions Providers

CSM Magazine

It is the main innovation behind the engine that performs functions such as task prediction and dialog control. Addepto is one of the top data science and AI consulting companies operating in over 12 countries. They typically help businesses make bolder decisions through internet data and AI.

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Accelerate data preparation for ML in Amazon SageMaker Canvas

AWS Machine Learning

The no-code environment of SageMaker Canvas allows us to quickly prepare the data, engineer features, train an ML model, and deploy the model in an end-to-end workflow, without the need for coding. The interactive data preparation enabled quickly cleaning, transforming, and analyzing the loan data to engineer informative features.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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These 8 Technologies Are Transforming the Contact Center

DMG Consulting

Thank you for your interest in DMG Consulting’s publications. Advancements in artificial intelligence (AI), machine learning, Big Data analytics, and mobility are all driving contact center innovation. Speech analytics. Customer journey analytics. Please complete the registration form below.

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Teradata Influencer Summit Highlights

Natalie Petouhof

Herman says that the guiding priorities of Teradata are: Key Principle #1: Analytic ecosystem: Teradata, DB, UDA, Real-time, Fabric Architecture. Key Principle #2: Big Data Technologies: Aster, Hadoop, Big Data Apps, Apps Center, Open Source Contribution and leverage. Key Principle#3: Cloud for Analytics.