
From Data To Profit
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Transform your company's AI and data frameworks to unlock the true power of disruptive new tech
In From Data to Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines, accomplished entrepreneur and AI strategist Vineet Vashishta delivers an engaging and insightful new take on making the most of data, artificial intelligence, and technology at your company. You'll learn to change the culture, strategy, structure, and operational framework of your company to take full advantage of disruptive advances in tech.
The author explores fascinating work being undertaken by firms in the real world, as well as high-value use cases and innovative projects and products made possible by realigning organizational frameworks using the capabilities of new technologies. He explains how to get everyone in your company on the same page, following a single framework, in a way that ensures individual departments get what they want and need.
You'll learn to outline a comprehensive technical vision and purpose that respects departmental autonomy over their core competencies while guaranteeing that they all get the tools they need to make technology their partner. You'll also discover why firms that have adopted a holistic strategy toward AI and data have enjoyed results far beyond those experienced by those that have taken a piecemeal approach.
From Data to Profit demonstrates the proper role of the CEO during an intensive transformation: one of maintaining culture during the change. It offers advice for organizational change, including the 3-Phase Data Organizational Development Framework, the Core <-> Rim 3 Main People Groups Framework, and the way to implement new roles for a Chief Digital Officer and Technical Strategist.
Perfect for data professionals, data organizational leaders, and data product and process owners, From Data to Profit will also benefit executives, managers, and other business leaders seeking hands-on advice for digital transformation at their firms.
More details
Other editions
Additional editions

Person
VIN VASHISHTA is the Founder of V Squared and its Chief Revenue Officer and technical strategist. He builds data and AI strategies for SMEs and Fortune 500 clients. He has over 25 years' experience in technology with a background in science, strategy, leadership, applied machine learning research, and software engineering.
Content
Introduction vii
Chapter 1 Overview of the Frameworks 1
Chapter 2 There Is No Finish Line 15
Chapter 3 Why Is Transformation So Hard? 37
Chapter 4 Final vs. Evolutionary Decision Culture 59
Chapter 5 The Disruptor's Mindset 71
Chapter 6 A Data- Driven Definition of Strategy 89
Chapter 7 The Monolith-Technical Strategy 103
Chapter 8 Who Survives Disruption? 125
Chapter 9 Data-The Business's Hidden Giant 139
Chapter 10 The AI Maturity Model 155
Chapter 11 The Human-Machine Maturity Model 171
Chapter 12 A Vision for AI Opportunities 185
Chapter 13 Discovering AI Treasure 201
Chapter 14 Large Model Monetization Strategies-Quick Wins 215
Chapter 15 Large Model Monetization Strategies-The Bigger Picture 229
Chapter 16 Assessing the Business's AI Maturity 251
Chapter 17 Building the Data and AI Strategy 273
Chapter 18 Building the Center of Excellence 287
Chapter 19 Data and AI Product Strategy 301
Index 325
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our eBook Help page.