Cloud, AI & Digital Transformation Terms You Need to Know

Agentic AI

Agentic AI refers to AI systems that can plan, reason, use tools, and complete multi-step work with limited human intervention.

AI Governance

AI governance is the set of policies, controls, reviews, and operating practices used to manage AI quality, privacy, security, bias, and accountability.

AI Readiness Assessment

An AI readiness assessment evaluates whether a business has the data, platforms, processes, security, and use cases needed to adopt AI responsibly.

API Integration

API integration connects applications through structured interfaces so systems can exchange data, trigger workflows, and automate business processes.

Application Modernization

Application modernization updates legacy software through refactoring, replatforming, containerization, automation, or cloud-native architecture.

Automation Pipeline

An automation pipeline is a repeatable workflow that builds, tests, scans, and deploys software with minimal manual intervention.

Azure Landing Zone

An Azure landing zone is a configured cloud foundation with identity, networking, security, governance, monitoring, and subscription structure.

Business Intelligence

Business intelligence uses reporting, dashboards, and analytics to help teams understand performance and make better operational decisions.

Cloud Cost Optimization

Cloud cost optimization is the practice of reducing waste, right-sizing resources, improving commitments, and aligning cloud spend with business value.

Cloud Migration

Cloud migration moves applications, infrastructure, data, or workloads from on-premises or legacy environments to cloud platforms.

Cloud-Native Architecture

Cloud-native architecture uses services such as containers, APIs, managed databases, event streams, and automation to build scalable applications.

Compliance Automation

Compliance automation uses repeatable controls, evidence collection, monitoring, and reporting to simplify regulatory and security requirements.

Containerization

Containerization packages application code and dependencies into portable units that can run consistently across development, testing, and production.

Data Engineering

Data engineering designs and operates pipelines, storage layers, and data models that make business data reliable and usable for analytics or AI.

Data Lakehouse

A data lakehouse combines low-cost data lake storage with warehouse-style governance, performance, and analytics capabilities.

DevSecOps

DevSecOps integrates security into development and operations so code, infrastructure, and releases are continuously tested and protected.

Disaster Recovery

Disaster recovery is the strategy, tooling, and process used to restore applications and data after an outage, attack, or infrastructure failure.

Edge Computing

Edge computing processes data closer to users, devices, or locations to reduce latency, improve resilience, and support real-time workloads.

Enterprise Architecture

Enterprise architecture aligns business capabilities, applications, data, integrations, and technology platforms into a coherent operating model.

FinOps

FinOps is an operating model for cloud financial management that helps engineering, finance, and business teams control spend and improve value.

Generative AI

Generative AI creates new text, images, code, summaries, recommendations, or other outputs from patterns learned in data.

Hybrid Cloud

Hybrid cloud combines private infrastructure, public cloud, and integration patterns so workloads can run where they fit best.

Identity and Access Management

Identity and access management controls who can access applications, systems, and data through authentication, authorization, and governance.

Infrastructure as Code

Infrastructure as Code manages infrastructure through version-controlled configuration files instead of manual setup in cloud consoles.

Kubernetes

Kubernetes is an orchestration platform used to deploy, scale, and manage containerized applications across clusters.

Large Language Model

A large language model is an AI model trained on large volumes of text and code to understand prompts and generate natural-language or code outputs.

Legacy Modernization

Legacy modernization improves older systems by updating architecture, interfaces, data flows, user experience, or deployment practices.

Managed Cloud Services

Managed cloud services provide ongoing monitoring, operations, optimization, incident response, and platform support for cloud environments.

Microservices

Microservices break applications into smaller independently deployable services that communicate through APIs or events.

MLOps

MLOps applies engineering, automation, monitoring, and governance practices to the development and operation of machine learning models.

Multi-Cloud

Multi-cloud uses services from more than one public cloud provider to meet requirements for resilience, capability, compliance, or vendor strategy.

Observability

Observability uses logs, metrics, traces, and alerts to understand system health, diagnose issues, and improve reliability.

Platform Engineering

Platform engineering builds reusable internal platforms, tooling, templates, and workflows that help teams deliver software faster and safer.

Predictive Analytics

Predictive analytics uses historical data, statistics, and machine learning to estimate future outcomes and support proactive decisions.

RAG

Retrieval-Augmented Generation, or RAG, connects generative AI with trusted business knowledge so responses can be grounded in relevant source content.

Security Posture Management

Security posture management continuously evaluates cloud assets, configurations, vulnerabilities, and controls to reduce risk.

Serverless Computing

Serverless computing runs code or workflows using managed cloud services where infrastructure scaling and maintenance are handled by the provider.

Site Reliability Engineering

Site Reliability Engineering applies software engineering practices to operations, reliability, incident response, automation, and service-level goals.

Technical Debt

Technical debt is the future cost created by shortcuts, outdated architecture, weak documentation, or systems that are difficult to maintain.

Zero Trust

Zero Trust is a security approach that continuously verifies users, devices, applications, and access requests instead of trusting network location.