Synopsis
AI Simplified: Harnessing Microsoft Technologies for Cost-Effective Artificial Intelligence Solutions is your practical guide to unlocking the power of AI within your organization without breaking the bank or hiring new specialized teams. Tailored for business leaders, executives, managers, and technical professionals, this book demystifies AI and provides actionable steps to integrate AI solutions effectively using tools and platforms you already know.
What You’ll Learn:
Grasp essential AI concepts and terminologies without getting lost in complex algorithms.
Discover how AI can revolutionize your business operations by automating tasks, optimizing decision-making, and enhancing customer interactions.
Form an effective AI Innovation Team, leveraging the skills of your existing developers and infrastructure.
Explore practical use cases across various industries, from customer service automation to data-driven insights.
Develop AI prototypes, then minimally viable products, quickly and iterate efficiently.
Navigate and leverage Microsoft’s AI ecosystem, including Power Platform, CoPilot, and Azure, while comparing other options like AWS and Google AI.
Why This Book Stands Out:
Cost-Effective Strategies: Learn how to develop and deploy AI applications without massive expenses or high risk.
Step-by-Step Guidance: Follow an iterative approach to AI development, reducing costs and minimizing the risk of failure.
Actionable Resources: Gain access to working AI prototype code, practical examples, and a roadmap that keeps your team aligned and moving forward.
Whether you’re just beginning your AI journey or looking to expand your knowledge, AI Simplified provides the foundation you need to start transforming your business into an AI-driven enterprise efficiently and affordably.
Join us on this journey to smarter, more efficient business operations!
For more resources and to connect with the author, visit AInDotNet.com.
À propos de l?auteur
Keith Baldwin's journey in technology began in the early 1970s, building transistor circuits and programming with manual punch cards. By the late 1970s, he was integrating computer systems and exploring programming, automation, computer vision, and robotics at the University of Florida. There, as an undergraduate, he created and taught college labs that applied computer and automation technologies to business processes. During his Master's and PhD studies at North Carolina State University, Keith developed a passion for object-oriented programming, Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing. He also deepened his understanding of statistics and operations research, fields that underpin today's AI advancements.Throughout his career, Keith has run successful manufacturing and laboratory automation businesses and became Microsoft Certified in all things .NET in 2008. He has designed and developed systems across various industries, always emphasizing a structured approach from design to production while collaborating with Subject Matter Experts and stakeholders. Today, Keith designs AI and ML systems from his rural workshop, where he also enjoys woodworking, outdoor activities, and rescuing urban trees to saw into lumber. He is passionate about sharing his knowledge, from the foundational days of computing to the transformative possibilities of AI, and is excited to help others harness technology effectively.
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