Generative AI Landscape

From Industry Implementation to Agentic Evolution

Deploying Generative AI in Industry

Organizations face a spectrum of choices when adopting GenAI. This section explores the trade-offs between consuming ready-made APIs, customizing via RAG, or building proprietary models from scratch. Select a card below to see details.

Select a Strategy:

Trade-off Analysis

Comparison of Cost, Control, and Complexity

Select a strategy...

Click on a strategy on the left to see specific implementation details, pros, and cons.

Types of Generative Models

GenAI is not just text. It encompasses images, audio, video, and more. Explore the different modalities below to understand their applications and maturity.

Market Maturity Estimate

From GenAI to Agentic AI

The technology is shifting from passive "Question & Answer" models to autonomous "Agents" that can reason, plan, and execute tasks using tools.

1. Foundation Models

Passive generation based on prompts.

2. RAG & Embedding

Connecting models to live, private data.

3. Agentic AI

Reasoning loops, tool use, and autonomy.

Select a Stage

Click on the timeline steps to understand how AI capabilities are expanding.

Navigating Challenges

Deployment is not without risk. Understanding challenges like hallucinations and bias is crucial to implementing effective mitigation strategies.

Key Challenges (Hover to Mitigate)

Mitigation Strategy

Hover over a challenge

Discover how to solve these problems.

Impact of Mitigation