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 ...
A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...
AI PROJECT FAILURE RATES DRIVE TRUST INSIGHTS TO RELEASE FREE AI READINESS ASSESSMENT FRAMEWORK AND CHECKLIST. EINPresswire/ -- With industry analysts including Gartner predicting that data readiness ...
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 ...
Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer Artificial intelligence (AI) ...
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 ...
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 ...
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#BizTrends2026 | CMS South Africa team: How forward-looking legal and governance frameworks will shape business decisions
As corporate regulation evolves globally, new frameworks are emerging that reconceptualise the relationship between governance, strategy and value creation. These are not merely updated compliance ...
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