Generative AI
Simply Explained

An LLM is a foundational AI technology that enables organizations to understand, generate, and apply language across complex business processes at scale.

Machine learning (ML) is a core technology behind modern analytics and automation, enabling systems to learn from data and improve performance without explicit programming.

Predictive maintenance describes how organizations use data, analytics, and AI to predict equipment failures and perform maintenance only when needed.

Organizational design defines how a company structures people, processes, and decision-making to deliver strategy efficiently and adapt to change.

Circularity is transforming how organizations design products, manage resources, and create long-term value while reducing environmental impact and operational risk.

Master data management (MDM) helps large organizations ensure consistency, accuracy, and governance of critical business data across systems, functions, and geographies.

An AI agent is a system that autonomously performs tasks by perceiving inputs, making decisions, and acting toward defined goals using data and models.

Cloud migration describes the structured process of moving applications, data, and infrastructure from on-premises environments to cloud platforms to increase agility, scalability, and cost efficiency.

Diversity and inclusion defines how organizations value differences and create inclusive environments where all employees can contribute fully and perform at their best.

Supplier risk management is the structured approach organizations use to identify, assess, and mitigate risks arising from third-party suppliers and vendors.

Commercial excellence is a structured approach that helps organizations improve revenue quality by aligning sales, marketing, pricing, and customer strategy around measurable performance.

Decarbonization is the systematic reduction of greenhouse gas emissions across operations, value chains, and products to align business strategy with climate goals.

AI integration allows enterprises to connect artificial intelligence with existing systems, data, and workflows to generate measurable business value at scale.

A data lakehouse is a modern data architecture that merges data lake scalability with data warehouse structure to support analytics, governance, and AI at scale.

The Internet of Things describes how physical devices connect to digital systems, enabling real-time data exchange, automation, and smarter decision-making across enterprise environments.

Corporate development is the function responsible for driving inorganic and strategic growth through mergers, acquisitions, partnerships, and long-term investment decisions aligned with corporate strategy.

Deep learning is a subset of artificial intelligence that enables machines to learn from large volumes of data using multi-layer neural networks.

Cloud computing allows organizations to consume computing resources over the internet instead of owning infrastructure, enabling flexibility, speed, and cost efficiency at enterprise scale.

Freelance consulting is a flexible model where independent experts provide specialized skills to organizations on a project or interim basis.

Contingent workforce management helps large organizations control, optimize, and govern non-permanent labor while ensuring compliance, cost efficiency, and operational continuity.

A firmwide AI strategy enables organizations to deploy artificial intelligence consistently, responsibly, and at scale to drive measurable business value across functions and geographies.

Data governance defines how organizations control, manage, and use data responsibly to ensure quality, compliance, and business value across the enterprise.

A digital twin helps leaders model, monitor, and optimize real assets and processes. Use a digital twin when decisions are costly, complex, or time-sensitive.

Change management helps organizations successfully adopt new strategies, technologies, and operating models by managing the human side of change systematically and predictably.