Data Science Blog

MARCH 14, 2023

Big Data Analytics erreicht die nötige Reife Der Begriff Big Data war schon immer etwas schwammig und wurde von vielen Unternehmen und Experten schnell auch im Kontext kleinerer Datenmengen verwendet. 2 Denn heute spielt die Definition darüber, was Big Data eigentlich genau ist, wirklich keine Rolle mehr.

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IBM Journey to AI blog

MAY 9, 2023

As a result, businesses have focused mainly on automating tasks with abundant data and high business value, leaving everything else on the table. models are trained on IBM’s curated, enterprise-focused data lake, on our custom-designed cloud-native AI supercomputer, Vela. But this is starting to change. All watsonx.ai

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IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy. models are trained on IBM’s curated, enterprise-focused data lake.

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IBM Journey to AI blog

JUNE 14, 2023

With a foundation model, often using a kind of neural network called a “transformer” and leveraging a technique called self-supervised learning, you can create pre-trained models for a vast amount of unlabeled data. But that’s all changing thanks to pre-trained, open source foundation models.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Given the availability of diverse data sources at this juncture, employing the CNN-QR algorithm facilitated the integration of various features, operating within a supervised learning framework. Utilizing Forecast proved effective due to the simplicity of providing the requisite data and specifying the forecast duration.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

Conclusion In this post, we showed how our team used AWS Glue and SageMaker to create a scalable supervised learning solution for predictive maintenance. Our model is capable of capturing trends across long-term histories of sensor data and accurately detecting hundreds of equipment failures weeks in advance. The remaining 8.4%

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DagsHub

NOVEMBER 11, 2024

These processes are essential in AI-based big data analytics and decision-making. Data Lakes Data lakes are crucial in effectively handling unstructured data for AI applications. They serve as centralized repositories where raw data, whether structured or unstructured, can be stored in its native format.

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