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The Rise and Fall of Data Science Trends: A 2018–2024 Conference Perspective

ODSC - Open Data Science

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. 20232024: AI engineering became a hot topic, expanding beyond MLOps to include AI agents, autonomous systems, and scalable model deployment techniques.

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AI on the Menu: Yum! Brands and NVIDIA Partner to Accelerate Restaurant Industry Innovation

NVIDIA

The voice AI is deployed on Amazon EC2 P4d instances accelerated by NVIDIA A100 GPUs, which enables the agents to understand natural speech, process complex menu orders and suggest add-ons increasing accuracy and customer satisfaction and helping reduce bottlenecks in high-volume locations. Rollout of AI Solutions Underway Yum!s

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AI Engineers: Your Definitive Career Roadmap

Towards AI

Author(s): Jennifer Wales Originally published on Towards AI. AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job.

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Why AI Agents Are Reshaping AI: What You’ll Learn from ODSC East 2025

ODSC - Open Data Science

Autonomous AI agents arent just an emerging research areatheyre rapidly becoming foundational in modern AI development. At ODSC East 2025 from May 13th to 15th in Boston, a full track of sessions is dedicated to helping data scientists, engineers, and business leaders build a deeper understanding of agentic AI.

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Understanding Copyright and AI: What the U.S. Copyright Office Says

ODSC - Open Data Science

Copyright Office clarified its stance on AI-generated content and what is eligible for copyright protection. For data scientists, AI developers, and professionals working with generative models, understanding these guidelines is crucial to navigating copyright claims in AI-assisted projects.

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2024 Tech breakdown: Understanding Data Science vs ML vs AI

Pickl AI

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

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Getting Started with AI

Towards AI

What is AI Engineering AI Engineering is a new discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts [1]. In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI.