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19 results for “deployment”
AI in Malaysian Healthcare
The deployment of artificial intelligence across Malaysia's public and private healthcare systems for diagnostics, hospital operations, drug development, and population health, governed by Ministry of Health policy and PDPA requirements.
AI Red Teaming
A structured adversarial evaluation practice in which testers attempt to elicit harmful, unsafe, or policy-violating behaviour from AI systems in order to surface risks before deployment.
ASEAN AI Governance
ASEAN AI governance refers to the regional frameworks, guidelines, and policy initiatives adopted by Southeast Asian nations to promote responsible, trustworthy, and interoperable artificial intelligence development and deployment.
Cohere
Cohere is a Canadian AI company specialising in enterprise large language models, offering Command, Embed, and Rerank model families alongside secure deployment infrastructure designed for regulated industries.
DataRobot
An American enterprise AI platform company that provides automated machine learning, model deployment, monitoring, and generative AI tools, headquartered in Boston, Massachusetts.
Edge AI
Edge AI is the deployment of artificial intelligence algorithms and inference workloads directly on local devices or edge computing nodes rather than in centralised cloud data centres, enabling low-latency, privacy-preserving, and bandwidth-efficient AI applications.
ElevenLabs
ElevenLabs is an AI audio research and deployment company founded in 2022 that develops text-to-speech, voice cloning, dubbing, and conversational voice agent technologies based on proprietary deep learning models.
Google Vertex AI
Google Vertex AI is a unified machine learning platform on Google Cloud that consolidates data preparation, model training, deployment, and monitoring for both custom-built models and Google's foundation models including Gemini.
Inference (Machine Learning)
Inference is the phase in which a trained machine learning model is used to generate predictions or outputs from new input data, distinct from the earlier training phase.
Knowledge Distillation
Knowledge distillation is a model compression technique in which a smaller student neural network is trained to replicate the behaviour of a larger, more capable teacher model, enabling deployment of efficient models that approximate teacher-level performance.
Malaysia AI Governance Framework
The Malaysia AI Governance Framework is a national set of guidelines, standards, and forthcoming legislation that defines responsible AI development and deployment in Malaysia.
MLflow
An open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, model packaging, a model registry, and deployment.
MLOps
A set of practices and tools that combine machine learning, DevOps, and data engineering to automate and operationalise the full lifecycle of ML models from development through production deployment and monitoring.
Model Compression
Model compression is a set of techniques that reduce the size, memory footprint, and computational cost of machine learning models while preserving predictive accuracy, enabling deployment on resource-constrained hardware.
Model Registry
A model registry is a centralised system that catalogues, versions, and governs trained machine learning models throughout their lifecycle, supporting reproducibility, deployment, and compliance.
Model Serving
Model serving is the discipline of deploying trained machine learning models behind APIs or runtimes so that production applications can request predictions at scale with predictable latency, throughput, and reliability.
OpenVINO
OpenVINO is an open-source toolkit developed by Intel for optimising and deploying deep learning inference across Intel hardware, including CPUs, GPUs, Neural Processing Units, and FPGAs, with broad support for major AI frameworks and model formats.
PDPA AI Compliance
PDPA AI compliance refers to the application of Malaysia's Personal Data Protection Act 2010 to artificial intelligence systems, governing how personal data may be collected, processed, and used in AI training, inference, and deployment.
Qdrant
An open-source, Rust-based vector database and similarity search engine designed for high-performance storage and retrieval of high-dimensional embeddings, with support for hybrid search and multitenant deployments.