AI & ML, Explained Simply
Explore our glossary of applied AI and ML concepts, from team augmentation and model ops to ethical automation, explained through a business lens.
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What is AGI?
Artificial general intelligence (AGI) describes a theoretical form of AI with general-purpose cognitive capabilities similar to humans, namely, reasoning, learning from experience, and adapting to new situations without previous instruction...4 min readWhat is AI observability?
AI observability is the practice of continuously diagnosing AI model outputs and decision paths in production by connecting and analyzing model metrics, data logs, and execution traces. End-to-end visibility helps...4 min readWhat is the AI development lifecycle?
The AI development lifecycle is the process of developing, training, and maintaining AI-powered software systems. It starts with defining the problem to be solved and then moves to feature engineering,...3 min readWhat is predictive analytics in healthcare?
Predictive analytics in healthcare is the use of advanced technologies to analyze large volumes of historical and real-time data on patients and care. Although statistical approaches are still applied for...3 min readWhat Is Intelligent Process Automation in HealthTech?
Intelligent process automation in healthcare refers to the integration of artificial intelligence with robotic process automation to handle both repetitive and cognitive tasks across clinical and administrative workflows. Unlike traditional...4 min readWhat is RPA in healthcare?
Robotic process automation in healthcare is a software technology that uses digital “bots” to automate repetitive, rule-based tasks such as data entry, claims processing, and appointment scheduling. These bots mimic...3 min read -
What is Human-in-the-Loop AI?
The human-in-the-loop AI approach means human supervision in the design and operation of AI and machine learning software. People step in at the moments when critical thinking, ethical decisions, and...3 min readWhat is AI talent management?
AI talent management is the use of artificial intelligence to accelerate and automate recruitment, workforce planning, and employee development. It makes HR specialists’ work more efficient without eliminating human oversight....3 min readWhat is AI in customer support?
AI in customer support is the implementation of AI technologies to streamline support tasks and enhance customer experience. The combination of NLP, machine learning, generative AI, and predictive analytics enables...3 min readWhat is an AI Agent?
An AI agent is a subtype of AI-powered software that autonomously performs tasks and makes decisions based on specific goals. It differs from automation tools and simple chatbots, as the...3 min readWhat is AI in Climate Tech?
AI in ClimateTech means the application of artificial intelligence to develop solutions that track and mitigate the impact of climate change. These systems rely on AI for climate modeling and...3 min readWhat is green AI?
Green AI is a software development approach focused on making AI systems environmentally sustainable and creating climate-friendly AI. It includes practices that reduce carbon footprint, increase energy efficiency, contribute to...3 min read -
What is AI-powered quality control?
AI tools for quality assurance automatically detect defects during production to improve quality and optimize human effort. They rely on computer vision, machine learning models, and deep learning to inspect...3 min readWhat is explainable AI (XAI)?
Explainable AI (XAI) is an approach to AI system development that ensures users understand how an AI model works. Explainable AI methods describe the model and its decision-making process. Explainability...3 min readWhat is responsible AI framework?
The responsible AI definition refers to an approach to AI system design, development, deployment, and use that ensures its transparency and safety to end-users. It includes the tools, practices, and...3 min readWhat is AI pipeline automation?
AI pipeline automation is the process of automating the design, development, and maintenance of AI and ML models. Automation is a core part of MLOps services that enables engineering teams...3 min readWhat is an AI product team?
An AI product team is an engineering team of cross-functional specialists who have the skills to build custom software with AI functionality. Companies without AI expertise often collaborate with external...3 min readWhat is AI team augmentation?
AI team augmentation is a staffing model in which external AI engineers join an in-house team on a temporary basis. It’s a practical solution when you have short-term staffing needs...3 min read -
What is machine learning team augmentation?
Machine learning team augmentation is a flexible approach to scaling your machine learning capabilities by temporarily adding external experts to your in-house team. It’s often used when companies need specialized...4 min readWhat is a dedicated AI team?
A dedicated AI team is a group of data scientists, machine learning engineers, and other AI specialists who focus solely on your projects, usually through an external partner. Companies choose...4 min read -
What is AGI?
Artificial general intelligence (AGI) describes a theoretical form of AI with general-purpose cognitive capabilities similar to humans, namely, reasoning, learning from experience, and adapting to new situations without previous instruction...4 min readWhat is AI observability?
AI observability is the practice of continuously diagnosing AI model outputs and decision paths in production by connecting and analyzing model metrics, data logs, and execution traces. End-to-end visibility helps...4 min readWhat is the AI development lifecycle?
The AI development lifecycle is the process of developing, training, and maintaining AI-powered software systems. It starts with defining the problem to be solved and then moves to feature engineering,...3 min readWhat is predictive analytics in healthcare?
Predictive analytics in healthcare is the use of advanced technologies to analyze large volumes of historical and real-time data on patients and care. Although statistical approaches are still applied for...3 min readWhat Is Intelligent Process Automation in HealthTech?
Intelligent process automation in healthcare refers to the integration of artificial intelligence with robotic process automation to handle both repetitive and cognitive tasks across clinical and administrative workflows. Unlike traditional...4 min readWhat is RPA in healthcare?
Robotic process automation in healthcare is a software technology that uses digital “bots” to automate repetitive, rule-based tasks such as data entry, claims processing, and appointment scheduling. These bots mimic...3 min read -
What is Human-in-the-Loop AI?
The human-in-the-loop AI approach means human supervision in the design and operation of AI and machine learning software. People step in at the moments when critical thinking, ethical decisions, and...3 min readWhat is AI talent management?
AI talent management is the use of artificial intelligence to accelerate and automate recruitment, workforce planning, and employee development. It makes HR specialists’ work more efficient without eliminating human oversight....3 min readWhat is AI in customer support?
AI in customer support is the implementation of AI technologies to streamline support tasks and enhance customer experience. The combination of NLP, machine learning, generative AI, and predictive analytics enables...3 min readWhat is an AI Agent?
An AI agent is a subtype of AI-powered software that autonomously performs tasks and makes decisions based on specific goals. It differs from automation tools and simple chatbots, as the...3 min readWhat is AI in Climate Tech?
AI in ClimateTech means the application of artificial intelligence to develop solutions that track and mitigate the impact of climate change. These systems rely on AI for climate modeling and...3 min readWhat is green AI?
Green AI is a software development approach focused on making AI systems environmentally sustainable and creating climate-friendly AI. It includes practices that reduce carbon footprint, increase energy efficiency, contribute to...3 min read -
What is AI-powered quality control?
AI tools for quality assurance automatically detect defects during production to improve quality and optimize human effort. They rely on computer vision, machine learning models, and deep learning to inspect...3 min readWhat is explainable AI (XAI)?
Explainable AI (XAI) is an approach to AI system development that ensures users understand how an AI model works. Explainable AI methods describe the model and its decision-making process. Explainability...3 min readWhat is responsible AI framework?
The responsible AI definition refers to an approach to AI system design, development, deployment, and use that ensures its transparency and safety to end-users. It includes the tools, practices, and...3 min readWhat is AI pipeline automation?
AI pipeline automation is the process of automating the design, development, and maintenance of AI and ML models. Automation is a core part of MLOps services that enables engineering teams...3 min readWhat is an AI product team?
An AI product team is an engineering team of cross-functional specialists who have the skills to build custom software with AI functionality. Companies without AI expertise often collaborate with external...3 min readWhat is AI team augmentation?
AI team augmentation is a staffing model in which external AI engineers join an in-house team on a temporary basis. It’s a practical solution when you have short-term staffing needs...3 min read -
What is machine learning team augmentation?
Machine learning team augmentation is a flexible approach to scaling your machine learning capabilities by temporarily adding external experts to your in-house team. It’s often used when companies need specialized...4 min readWhat is a dedicated AI team?
A dedicated AI team is a group of data scientists, machine learning engineers, and other AI specialists who focus solely on your projects, usually through an external partner. Companies choose...4 min read
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