IBM Journey to AI blog

FEBRUARY 12, 2024

At the forefront of this event-driven revolution is Apache Kafka, the widely recognized and dominant open-source technology for event streaming. While most enterprises have already recognized how Apache Kafka provides a strong foundation for EDA, they often fall behind in unlocking its true potential.

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IBM Journey to AI blog

NOVEMBER 29, 2023

Artificial intelligence is also key for businesses, helping provide capabilities for both streamlining business processes and improving strategic decisions. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

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Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

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AWS Machine Learning Blog

OCTOBER 9, 2024

Using Amazon Redshift ML for anomaly detection Amazon Redshift ML makes it easy to create, train, and apply machine learning models using familiar SQL commands in Amazon Redshift data warehouses. To start using CloudWatch anomaly detection, you first must ingest data into CloudWatch and then enable anomaly detection on the log group.

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ODSC - Open Data Science

JULY 22, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes. Here are some highlights from ODSC Europe 2023, including some pictures of speakers and attendees, popular talks, and a summary of what kept people busy.

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Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Here are five key trends to watch.

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Pickl AI

OCTOBER 21, 2024

It manipulates data using SQL (Structured Query Language). It offers high performance and supports SQL queries, making it a modern solution for large-scale applications. Using Kafka, Twitter can effectively handle high-throughput data streams, enabling users to receive timely notifications and updates.

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