The gap between AI's promise and its practical implementation in legal organizations is substantial. After 25 years designing and deploying technology solutions in legal environments, I've observed a ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

This workshop will provide an introduction to the types of theories, models, and frameworks (TMFs) commonly used in dissemination and implementation science, including pros and cons and application of ...

Software engineers developing artificial intelligence (AI) models using standard frameworks such as Keras, PyTorch, and TensorFlow are usually not well-equipped to translate those models into ...

OpenAI reshaped the enterprise AI landscape Tuesday with the release of its comprehensive agent-building platform – a package combining a revamped Responses API, powerful built-in tools and an ...

Sr. Director of Product at Aisera, Jigar brings 15+ years in enterprise AI, GenAI innovation, agentic automation and product-led growth. AI maturity isn’t about deploying AI tools or automating ...

The field of implementation science needs to prioritize evidence-informed interventions that fit the daily lives of the communities in which they will be delivered. Early prevention and intervention ...

Want AI that’s both fast and planet-friendly? This guide shows how leaders can bake sustainability into every layer and save energy, money and sanity. When we first began exploring the environmental ...

Colleges and universities are navigating technological change, shifting demographics, evolving workforce demands and fluctuating economic conditions. As a university president, I’ve seen how ...