Chris Seferlis

Empowering
Leaders to
Drive Impact

Helping drive value to customers, colleagues, and the next generation of technology leaders by understanding business requirements and objectives while maximizing Value, TCO and ROI.

Chris Seferlis

Empowering
Leaders to
Drive Impact

Helping drive value to customers, colleagues, and the next generation of technology leaders by understanding business requirements and objectives while maximizing TCO and ROI.

Technology Strategist | Professor | Keynote Speaker | Author | Technology Strategist | Professor | Keynote Speaker | Author | Technology Strategist | Professor | Keynote Speaker | Author | Technology Strategist | Professor | Keynote Speaker | Author | Technology Strategist | Professor | Keynote Speaker | Author | Technology Strategist | Professor | Keynote Speaker | Author | Technology Strategist | Professor | Keynote Speaker | Author | Technology Strategist | Professor | Keynote Speaker | Author |

Technology
Strategist

Professor
& Speaker


Author

RECENT CONTENT

The Evolving Case for AI: Justifying AI Investments with ROI and TCO in 2025

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The Current State and Future of AI: Opportunities, Challenges, and the Road Ahead

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CHRIS SEFERLIS

What Chris brings:

Chris Seferlis is a Director of Technology Strategy at Microsoft where, for the past 5+ years he has helped customers bring their technical strategies to reality with a heavy focus on how they are using their data. 

A former CIO with over 25 years’ experience in IT and a deep background in Data Warehousing and Business Intelligence, Chris brings a practical and theoretical approach to business technology challenges using a data driven mindset. 

Chris holds an MBA from the University of Massachusetts, is a Microsoft Certified Trainer, and is a Visiting Professor at Boston University. He’s also a keynote speaker on the topics of Data, Innovation, and AI.

Finally, Chris recently completed the book A Practical Guide to Azure Cognitive Services and OpenAI – Leverage the power of AI to optimize operations, reduce costs, and deliver cutting-edge AI solutions.

GET THE BOOK

Practical Guide to Azure Cognitive Services

With a heavy focus on Total Cost of Ownership (TCO) and Return on Investment (ROI), this book will help you start deploying AI quickly and cost effectively!

Key Features
  • Minimize costs and maximize operations by automating mundane activities using AI tools
  • Ideate solutions using real-world examples for manufacturing process improvement with AI
  • Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples

Azure Cognitive Services and OpenAI are a set of pre-built AI solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft’s award-winning Vision, Speech, Text, Decision, and GPT-4 AI (artificial intelligence) capabilities.

With A Practical Guide to Azure Cognitive Services, you’ll work with manufacturing industry-specific examples of implementations to head-start your production journey. You’ll begin with an overview of categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. Next, you’ll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Later, you’ll learn to leverage Vision capabilities for quality control, Forms Recognizer to streamline supply chain nuances, language understanding for improving customer service, and Cognitive Search for a next-generation knowledge mining solutions, and more.

By the end of this book, you’ll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve customer experience at your organization. You’ll also be well-equipped to automate mundane tasks by reaping the full potential of OpenAI.

  • Master cost-effective deployment of Azure Cognitive Services
  • Develop proven solutions from an architecture and development standpoint
  • Understand how Cognitive Services are deployed and customized
  • Evaluate various uses of Cognitive Services with different mediums
  • Disseminate Azure costs for Cognitive Services workloads smoothly
  • Deploy next-generation Knowledge Mining solutions with Cognitive Search
  • Explore the current and future journey of OpenAI
  • Understand the value proposition of different AI projects

This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.

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