Remove Cloud Data Remove Data Engineering Remove Predictive Analytics
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How Cloud Data Platforms improve Shopfloor Management

Data Science Blog

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science. Cloud Data Platform for shopfloor management and data sources such like MES, ERP, PLM and machine data.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

The creation of this data model requires the data connection to the source system (e.g. SAP ERP), the extraction of the data and, above all, the data modeling for the event log.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities. Savings may vary depending on configurations, workloads and vendor.

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What is ThoughtSpot? Everything You Need to Know

phData

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. Suppose your business requires more robust capabilities across your technology stack.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Here’s how a composable CDP might incorporate the modeling approaches we’ve discussed: Data Storage and Processing : This is your foundation. You might choose a cloud data warehouse like the Snowflake AI Data Cloud or BigQuery. Building a composable CDP requires some serious data engineering chops.

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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences.

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AWS re:Invent 2023 Amazon Redshift Sessions Recap

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Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Hear also from Adidas, GlobalFoundries, and University of California, Irvine.

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