Skip to product information
1 of 1

All-in On AI: How Smart Companies Win Big with Artificial Intelligence by Thomas H. Davenport

All-in On AI: How Smart Companies Win Big with Artificial Intelligence by Thomas H. Davenport

Regular price Tk 250.00 BDT
Regular price Tk 500.00 BDT Sale price Tk 250.00 BDT
Sale Sold out
Shipping calculated at checkout.

🚚 ক্যাশ অন ডেলিভারি সারা বাংলাদেশ 🕒 ৭২ ঘন্টার মধ্যে সারা দেশ এ ডেলিভারি

Quantity

All-in On AI: How Smart Companies Win Big with Artificial Intelligence by Thomas H. Davenport

"All-in on AI: How Smart Companies Win Big with Artificial Intelligence"—co-authored by renowned Babson College professor Thomas H. Davenport and Deloitte AI leader Nitin Mittal—is a Harvard Business Review Press publication that serves as the definitive enterprise casebook for industrial-scale automation.

Unlike books tailored for casual freelancers or individual prompt crafters, Davenport and Mittal speak directly to C-suite executives, boards, and organizational architects. The book targets a major corporate pitfall: "pilotitis"—the habit of running isolated, low-impact AI experiments in fragmented departments without ever scaling them globally. The authors look closely at pioneering "AI-first" enterprises like Capital One, Ping An, Walmart, and Airbus to outline how legacy firms can systematically overhaul their culture, technology stacks, data pipelines, and business strategies to secure a massive competitive advantage.

Davenport & Mittal's Enterprise Commandments

  • Eradicate Isolated Tech Silos: If your data is trapped in disconnected legacy systems across marketing, sales, and operations, your models will fail. Centralized, spotless data governance is the absolute prerequisite to extracting any real enterprise value from machine learning.

  • Keep Humans firmly in the Loop: The goal of enterprise AI isn't full worker elimination; it's augmentation. Design workflows where machine learning handles high-volume predictive computations, clearing the deck for human managers to apply emotional intelligence, strategic context, and ethical oversight.

  • Plan for Continuous Model Decay: AI models are not static software scripts. They are highly reactive to changing market realities. Establish robust engineering guardrails to continuously audit live models for data drift, security holes, and systemic bias to preserve institutional trust.

Language: English.

Genre: AI Literacy.

Binding: সেলাই করা বাইন্ডিং

Quality: Premium Quality Books.

Printing: High Quality Printing.

Paper: Eye Friendly paper (Cream White)

Cover: Matt cover (Paperback).

View full details