Remove 2025 Remove Data Models Remove Data Preparation
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On the implementation of digital tools

Dataconomy

The scale of data production and transmission has grown exponentially. Forbes reports that global data production increased from 2 zettabytes in 2010 to 44 ZB in 2020, with projections exceeding 180 ZB by 2025 – a staggering 9,000% growth in just 15 years, partly driven by artificial intelligence.

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The Top AI Slides from ODSC West 2024

ODSC - Open Data Science

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

professionals

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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Gen AI Trends and Scaling Strategies for 2025

Iguazio

Optimizing performance, costs and supporting workload elasticity Add observability, and experiment tracking Building containers, microservices and cloud resource integrations Developing automated CI/CD pipelines (for data, models, and apps) 3. Whats Next in 2025? The future of Gen AI belongs to those who build with foresight.

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