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Benjamin Harvey, Ph.D., Founder & CEO of AI Squared – Interview Series

Unite.AI

No-code/low-code integration is essential for AI adoption at scale because it democratizes access to AI, enabling domain experts and business leaders to operationalize AI without requiring dedicated AI engineers. How does AI Squared ensure responsible AI deployment? Whats next for AI Squared?

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Design Patterns in Python for AI and LLM Engineers: A Practical Guide

Unite.AI

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. forms, REST API responses).

Python 147
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The Rise and Fall of Data Science Trends: A 2018–2024 Conference Perspective

ODSC - Open Data Science

The Rise of AI Engineering andMLOps 20182019: Early discussions around MLOps and AI engineering were sparse, primarily focused on general machine learning best practices. 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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Establishing Standards for Responsible Generative AI

ODSC - Open Data Science

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. There are several reasons why responsible AI is critical as the technology continues to advance.

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10 Examples of How Content Creators and Teams Are Using AI

Flipboard

The team paused using the AI tool to build better editorial processes and has committed to refining it to suit their editorial standards and needs. Example of a CNET AI disclaimer The tech publication now updates an AI Policy page detailing how they’re using AI.

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ODSC West 2023 Keynote: Microsoft’s Sarah Bird on Building and Using Generative AI Responsibly

ODSC - Open Data Science

Though there are great potential benefits, it is important to ensure this technology is developed and used responsibly. In her keynote speech at ODSC West, Sarah Bird, Global Lead for Responsible AI Engineering at Microsoft, discussed Microsoft’s journey in building and using generative AI responsibly.

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ODSC West 2023 Recap in Pictures

ODSC - Open Data Science

Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here! Jepson Taylor | Chief AI Strategist | Dataiku Thomas Scialom, PhD | Research Scientist (LLMs) | Meta AI Nick Bostrom, PhD | Professor, Founding Director | Oxford University, Future of Humanity Institute —  Read the recap here!