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2. Artificial intelligence engineering - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   Additionally, as regulatory frameworks around AI systems continue to evolve, MLOps practices are critical for ensuring compliance with legal requirements, including data privacy regulations and ethical AI guidelines. By incorporating best practices from MLOps, organizations can mitigate risks, maintain high performance, and scale AI solutions ...

3. MLOps - Wikipedia

   en.wikipedia.org/wiki/MLOps

   MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...

4. Comparison of data modeling tools - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_data...

   Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect

5. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6]

6. List of datasets for machine-learning research - Wikipedia

   en.wikipedia.org/wiki/List_of_datasets_for...

   Data about applicant's family and various other factors included. 12,960 Text Classification 1997 [481] [482] V. Rajkovic et al. University Dataset Data describing attributed of a large number of universities. None. 285 Text Clustering, classification 1988 [483] S. Sounders et al. Blood Transfusion Service Center Dataset

7. Marc Benioff throws shade at Microsoft and Big Tech's ... - AOL

   www.aol.com/news/marc-benioff-throws-shade...

   Salesforce is focusing on AI integration, not building costly data centers, Benioff said Wednesday. The company reported fourth-quarter revenue of $9.99 billion, missing consensus estimates.