From Data to Profit.
The Amazon bestseller and playbook for monetizing data and AI, and the place the Disruptor's Mindset was first written down. Frameworks to unlock the value trapped in your data and turn AI into sustainable growth.
The blueprint for technical strategy.
Data and AI should be revenue generators, but for many businesses the returns haven't materialized. The book gives leaders the frameworks to define the vision, purpose, mission, and strategic goals for data and AI, written for C-suite, business, and technical teams, product and program managers, and senior technical ICs alike.
Table of contents.
- 01
Overview Of The Frameworks
The key frameworks detailed throughout the book.
- 02
There Is No Finish Line
Transformation isn't a one-time event. Adapt to continuous transformation.
- 03
Why Is Transformation So Hard?
The business must overcome its cultural debt to succeed.
- 04
Final vs. Evolutionary Decision Culture
What it takes to become data-driven, and a new decision framework.
- 05
The Disrupter's Mindset
Prepare the business for a new type of innovation and cultivate a new mindset.
- 06
A Data-Driven Definition Of Strategy
How data and advanced machine learning change business strategy.
- 07
The Monolith: Technical Strategy
A new pillar of business strategy to support continuous transformation.
- 08
Who Survives Disruption?
A framework for the business to regain autonomy and control.
- 09
Data: The Business's Hidden Giant
The big picture of data and AI strategy as an enterprise-wide transformation.
- 10
The AI Maturity Model
AI maturity from early to advanced capabilities.
- 11
The Human-Machine Maturity Model
A different product paradigm and human-centric design.
- 12
A Vision For AI Opportunities
A single vision for data and AI, aligned with business strategy.
- 13
Discovering AI Treasure
Opportunity discovery frameworks for high-value use cases.
- 14
Large Model Monetization: Quick Wins
Immediate opportunities from generative AI.
- 15
Large Model Monetization: The Bigger Picture
Forward-looking, prescriptive strategy for where generative AI goes next.
- 16
Assessing The Business's AI Maturity
A starting point and alignment for the maturity journey.
- 17
Building The Data And AI Strategy
The framework for the AI strategy document.
- 18
Building The Center Of Excellence
How to define the data team's build-out.
- 19
Data And AI Product Strategy
A new kind of product strategy for data and AI.
Vin Vashishta
Entrepreneur and AI strategist who has spent more than a decade defining how data and AI generate business value. Named a LinkedIn Top Voice, Gartner Ambassador, and IBM and SAP insider, with a community of over 200K followers across social media.
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