The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications by Kavita Ganesan

The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications by Kavita Ganesan

"The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices, and Real-World Applications"—written by world-renowned AI consultant, researcher, and data scientist Dr. Kavita Ganesan—is a foundational roadmap for corporate leaders seeking to drive realistic, high-ROI business outcomes.

Dr. Ganesan takes a highly pragmatic, anti-hype stance. She directly challenges the flashy, all-or-nothing corporate narrative that artificial intelligence requires multi-million-dollar overhauls or the immediate deployment of unpredictable, open-ended technologies. Instead, she teaches executives how to spot low-hanging, high-impact opportunities within their existing business structures, showing them how to systematically align data science initiatives with measurable operational key performance indicators (KPIs).

Dr. Ganesan's Core Laws for Corporate AI Deployment

• Solve the Boring Problems First: Avoid chasing high-concept, sci-fi projects. The highest and most immediate corporate returns come from automating dull, time-consuming backend tasks—such as extracting metadata from contracts, processing invoices, or sorting customer support tickets.

• Acknowledge and Map Out Your Data Debt: A machine learning model is only as smart as the information used to train it. If your organization's internal data is inaccurate, unorganized, or scattered across disconnected systems, hit the brakes. Clean your data architecture before writing a line of code.

• Design for Model Upkeep and Decay: AI solutions are not "set-it-and-forget-it" pieces of software. Real-world conditions shift constantly, causing data drift and model decay. Always budget for ongoing monitoring, routine retraining loops, and continuous human-in-the-loop auditing to protect system accuracy.

Language: English.

Genre: Nonfiction.

Binding: সেলাই করা বাইন্ডিং

Quality: Premium Quality Books.

Printing: High Quality Printing.

Paper: Eye Friendly paper (Cream White)

Cover: Matt cover (Paperback).