Description
Business Perspective :
This book enables Business Heads, CEOs, and CXOs to understand Artificial Intelligence in simple yet powerful terms, focused on real impact in financial services. It covers high-value use cases such as intelligent customer engagement, voice-to-text data transformation, personalized selling, AI-driven lending, marketing automation through Voice AI Bots, and efficiency through autonomous AI agents. Leaders gain clarity on AI/ML, Deep Learning, Generative AI, Agentic AI, prompts, LLMs, and SLMs. The book connects these technologies directly to measurable business outcomes. It also provides a forward-looking view of how AI models and AGI will evolve over the next five years.
Technology Perspective:
The book serves as a hands-on implementation guide for Data Science, ML, and Digital Engineering professionals. It explains the journey from Machine Learning and Deep Learning to Agentic AI, supported by strong architectures and practical design frameworks. Readers learn how MCP, AI agents, and LLMs are implemented across GCP, Azure, and open-source platforms. It covers EDA, MLOps, A/B experimentation, networking, tokens, and end-to-end model lifecycle management. With architectural clarity and practical guidance, it helps convert POCs into production-grade AI systems and build a strong AI career path.
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