AI-Powered Data Products
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AI-Powered Data Products

Transforming Data into Profit: A C-Suite Handbook

About the Book

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Are you ready to revolutionize your business with the power of AI? Look no further than this incredible book on AI-powered data products!

In today's hyper-competitive business landscape, companies that can harness the power of AI are the ones that will thrive. This book will show you how to leverage AI to create data products that will transform your business.

From machine learning to natural language processing, this book will guide you through the cutting-edge world of AI-powered data products. You'll learn how to harness the power of AI to create products that are smarter, faster, and more efficient than anything your competitors can dream of.

Discover how AI can help you unlock hidden insights in your data, automate your processes, and supercharge your growth. You'll see real-world examples of how businesses across industries are using AI to achieve unprecedented success, and how you can do the same.

So if you're ready to take your business to the next level with AI-powered data products, this book is the ultimate guide. Don't wait any longer - grab your copy today and start harnessing the power of AI to transform your business!

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    • Product Management
    • Artificial Intelligence
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About the Authors

Jarkko Moilanen, PhD
Jarkko Moilanen, PhD

Jarkko Moilanen, Ph.D. is the Chief Data Officer of Vastuu Group Oy. Jarkko has a key role in managing the portfolio of advanced and innovative data-driven development customer cases, and managing data strategy as well as data management. Prior to his employment at Vastuu, he served as the Chief Operations Officer and Chief Development Officer at Platform of Trust.

Earlier, Jarkko was for 4 years leading the digitalization in K12 education in Finland as the Senior Advisor on Digital Strategy at the Ministry of Education and Culture of Finland.

Moilanen earned his doctorate degree in 2017 at University of Tampere with his work entitled “Peer Production economy - revolution in design, development and manufacturing”. He is currently pursuing his 2nd PhD in the University of Jyväskylä around the design-driven data productizement process, which binds together data products and data strategy in companies.

Jarkko is the creator of the Data Product Toolkit, which helps organizations to take advantage of data, design data products to maximize internal reuse and partner network value, and eventually, monetize derived data-driven services. As part of the toolkit development, Jarkko has defined first in the world Open Data Product Specification which is a vendor-neutral, open-source machine-readable data product metadata model. It defines the objects and attributes as well as the structure of digital data products.

Venkata Pradeep Tatiraju
Venkata Pradeep Tatiraju

Venkata Pradeep Tatiraju is an accomplished Data Science professional with 11 years of experience in the field. He has a strong passion for utilizing data to solve business problems and has worked with Fortune 100 organizations to establish data science and analytics practices, contributing to their growth. With expertise in Machine Learning, Natural Language Processing (NLP), and Deep Learning, he has successfully developed and deployed AI models on cloud and on-premises platforms.


Pradeep has delivered successful AI modules and solutions throughout his career across various domains, including healthcare, retail, banking and financial services, supply chain, and education. His projects have ranged from predictive modeling for healthcare products to implementing knowledge management systems with NLP capabilities. He has also deployed deep learning models on edge devices and excelled in areas such as customer call intent prediction, campaign performance prediction, sentiment analysis, and segmentation models.


Pradeep is pursuing a Ph.D. from IIM Indore and holds an M.Sc (Hons) and B.E.(Hons) from BITS Pilani Hyderabad Campus. His comprehensive knowledge spans quantitative models, data and visualization tools, programming languages, cloud platforms, and dev ops.


Beyond his professional achievements, Pradeep has actively engaged in extracurricular activities and demonstrated leadership abilities. He served as President of the Engineers Without Borders (NGO) Chapter at BITS Pilani Hyderabad Campus and held significant positions in the Biological Science Association and the sports club during his college years.


With an unwavering dedication to advancing data science practices and a proven track record of delivering impactful outcomes, Pradeep brings a wealth of knowledge and experience to the field.  

Table of Contents

  • Preface
  • 1 Introduction
  • 2 AI-Powered Data Products
    • 2.1 Definition and examples
    • 2.2 Datasets and data streams
    • 2.3 Personalized Data Products
    • 2.4 Dashboards and data stories
    • 2.5 Algorithms as Data Products
  • 3 Objective-Driven High-Quality Data Products
    • 3.1 Value as the goal
    • 3.2 Use cases provide objectives
    • 3.3 Appply AI to Use cases
    • 3.4 High-quality DAta Product
    • 3.5 Apply AI to Data Product Quality
  • 4 Value-based Selling and Measuring Success
    • 4.1 From Sales Person to Self-Service
    • 4.2 Apply AI to Value-Based Selling
    • 4.3 Measuring of Success
    • 4.4 Apply AI to Measuring Success
  • 5 Building winning teams with AI copilots
    • 4.1 Building blocks of a winning team
    • 4.2 Key roles
    • 4.3 Examples of Data Product Teams
    • 4.4 AI as a copilot in product development
  • 6 AI-Powered Data Product Portfolio
    • 6.1 AI and Data Product Portfolio Management
    • 6.2 Sustainable lifecycle management with AI
    • 6.3 Governance, Standards and Consistency
  • 7 The Rise of Intelligent Value Delivery
    • 7.1 Human Agency is Challenged
    • 7.2 Towards Intelligent Offering
    • 7.3 Data Economy AI Agents Maturity Model
    • 7.4 Data Economy AI agent Strategy Options
    • 7.5 Ten Takeaways to Get Started
  • Meet the Authors
  • References

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