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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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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Data scientists will typically perform data analytics when collecting, cleaning and evaluating data. By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model.

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How Cloud Data Platforms improve Shopfloor Management

Data Science Blog

In the era of Industry 4.0 , linking data from MES (Manufacturing Execution System) with that from ERP, CRM and PLM systems plays an important role in creating integrated monitoring and control of business processes.

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

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Introducing the Topic Tracks for ODSC West 2023?—?Highlighting Gen AI and LLMs

ODSC - Open Data Science

This track will focus on helping you build skills in text mining, data storytelling, data mining, and predictive analytics through use cases highlighting the latest techniques and processes to collect, clean, and analyze growing volumes of structured data.

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Introducing the Topic Tracks for ODSC East 2024?—?Highlighting Gen AI, LLMs, and Responsible AI

ODSC - Open Data Science

You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques. You’ll also hear use cases on how data can be used to optimize business performance. You’ll also hear use cases on how data can be used to optimize business performance.

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

Data Science Blog

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Process Mining offers process transparency, compliance insights, and process optimization.