Remove Data Engineering Remove Data Lakes Remove Predictive Analytics
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Interview – Datenstrategie und Data Teams entwickeln!

Data Science Blog

der Aufbau einer Datenplattform, vielleicht ein Data Warehouse zur Datenkonsolidierung, Process Mining zur Prozessanalyse oder Predictive Analytics für den Aufbau eines bestimmten Vorhersagesystems, KI zur Anomalieerkennung oder je nach Ziel etwas ganz anderes. Es gibt aber viele junge Leute, die da gerne einsteigen wollen.

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40 Must-Know Data Science Skills and Frameworks for 2023

ODSC - Open Data Science

Big data isn’t an abstract concept anymore, as so much data comes from social media, healthcare data, and customer records, so knowing how to parse all of that is needed. This pushes into big data as well, as many companies now have significant amounts of data and large data lakes that need analyzing.

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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. Watsonx comprises of three powerful components: the watsonx.ai

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How OLAP and AI can enable better business

IBM Journey to AI blog

Here’s an overview of the key characteristics: AI-powered analytics : Integration of AI and machine learning capabilities into OLAP engines will enable real-time insights, predictive analytics and anomaly detection, providing businesses with actionable insights to drive informed decisions.

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

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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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.

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Popular Data Transformation Tools: Importance and Best Practices

Pickl AI

Below, we explore five popular data transformation tools, providing an overview of their features, use cases, strengths, and limitations. Apache Nifi Apache Nifi is an open-source data integration tool that automates system data flow. AWS Glue AWS Glue is a fully managed ETL service provided by Amazon Web Services.