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How OLAP and AI can enable better business

IBM Journey to AI blog

Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex. Skills and expertise : Transitioning to cloud-based OLAP may require specialized skills and expertise in cloud computing and OLAP technologies.

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The Top AI Slides from ODSC West 2024

ODSC - Open Data Science

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence. Despite the rise of big data technologies and cloud computing, the principles of dimensional modeling remain relevant.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

See also Thoughtworks’s guide to Evaluating MLOps Platforms End-to-end MLOps platforms End-to-end MLOps platforms provide a unified ecosystem that streamlines the entire ML workflow, from data preparation and model development to deployment and monitoring. Severless GPUs are machines that scale-to-zero in the absence of traffic.

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Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. It offers a wide range of cloud services, including: Compute Power: Scalable virtual machines and container services for running applications.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

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