AI Strategy Explained
The blueprint for technical strategy. From Data To Profit helps business leaders unlock the value trapped in their data teams. Data and AI should be revenue generators, but for many, the returns haven’t materialized. From Data To Profit provides frameworks that help business leaders define the vision, purpose, mission, and strategic goals for data and AI.
Vin Vashishta
Vin Vashishta is an accomplished entrepreneur and AI strategist. He has spent over a decade defining how the data and AI ecosystem can generate significant business value.
Vin Vashishta is a recognized AI thought leader. He has been named a LinkedIn Top Voice, Gartner Ambassador, and an IBM and SAP insider. Vin Vashishta has built a community of over 200K followers across social media, including tech leaders: Uber, Microsoft, Salesforce, NVIDIA, and Intel.
Chapters
1. Overview of the Frameworks
Introducing the key frameworks that will be detailed throughout the book.
2. There Is No Finish Line
Transformation isn't a one time event. Learn how to adapt to continuous transformation.
3. Why Is Transformation So Hard?
Transformation isn't a technology problem. The business must overcome its cultural debt to succeed.
4. Final vs. Evolutionary Decision Culture
What does it take to become data-driven? Learn about a new decision framework.
5. The Disrupter’s Mindset
Prepare the business for a new type of innovation and cultivate a new mindset.
6. A Data-Driven Definition of Strategy
Introducing data and advanced machine learning changes business strategy.
7. The Monolith: Technical Strategy
Discover a new pillar of business strategy to support continuous transformation.
8. Who Survives Disruption?
Will AI replace us? The business needs a framework to regain autonomy and control.
9. Data—The Business’s Hidden Giant
See the big picture of data and AI strategy. This is an enterprise-wide transformation.
10. The AI Maturity Model
Learn a framework that defines AI maturity from early to advanced capabilities.
11. The Human-Machine Maturity Model
Data and AI are a different product paradigm. Learn about human-centric design.
12. A Vision for AI Opportunities
A single vision is critical for success with data and AI. Learn to build a vision aligned with business strategy.
13. Discovering AI Treasure
Opportunity discovery frameworks guide product strategy towards high-value use cases.
14. Large Model Monetization Strategies: Quick Wins
Generative AI is a game changer for businesses. Learn to take advantage of immediate opportunities.
15. Large Model Monetization Strategies: The Bigger Picture
AI strategy must be forward looking and prescriptive. Learn where Generative AI goes next.
16. Assessing the Business’s AI Maturity
The assessment framework creates a starting point and alignment for the business's maturity journey.
17. Building the Data and AI Strategy
It's time to put the frameworks into practice. This is the framework for the AI Strategy Document.
18. Building the Center of Excellence
The data team must grow to support maturing business needs. Learn how to define the build out.
19. Data and AI Product Strategy
Data and AI don't follow the digital product paradigm. Learn how to develop a new kind of product strategy.
Target Audience
From Data To Profit is written to provide the business with a single playbook to work from. As a result, the book will benefit multiple audiences:
- Leadership (C-Suite, Business, and Technical Teams)
- Product Managers
- Project/Program Managers
- Senior Technical Individual Contributors
More To Explore
Thought Leadership
Read the library of over 400 articles on Substack. It's one of the largest collections of data and AI thought leadership.
Courses & Training
Self paced courses extend the book through use cases and hours of instruction. Learn from the author and access live Q&A.
Speaking
Bring Vin Vashishta to your event or conference. Your event will be shared with his community of over 200K followers.