Artificial Intelligence Basics: A Non-Technical Introduction by Tom Taulli. He holds a Bachelor of Business Administration from California State Polytechnic University-Pomona. Tom has written for BusinessWeek, TechWeb, Bloomberg and AI articles for Forbes.
With Artificial intelligence and subsets continuing to grow in capabilities and deployments, I am always pleased to find titles to share with organizational leaders to bring them up to speed on AI.
Tom is accurate in sharing that AI has in fact rapidly expanded beyond smart speakers and digital assistants to become a general-purpose technology. As such this has been echoing across virtually all industries and markets.
So understanding AI’s possibilities for your organization is more critical today. In less than six months, OpenAI launched Generative AI service ChatGPT into the stratosphere. But it also arrives with much needed safety measures.
Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, education, government, financial services, use to identify a few. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success in a fast changing and competitive marketplace.
A non technical introduction
Artificial Intelligence Basics can certainly provide readers with limited exposure and understanding of AI services a non-technical, fundamental understanding of AI and the downstream impacts the subsets of AI are now providing. The subsets include: machine learning, deep learning, neural networks, natural language processing (NLP), and Robotic Processing Automation (RPA).
Along the way Tom will touch on neural network Backpropegation. In addition, he will share case studies from companies who are leveraging AI to transform their businesses. However, better AI case studies are with Tom Davenport’s Working with AI and Bernard Marr’s Artificial Intelligence in Practice.
From deployed services to bias
There are also important AI issues to learn about including bias, data quality, and employee resistance to AI services. Tom will share insights to successful AI service deployments by Uber, Facebook, Waymo, UiPath, and Stitch Fix. This includes overviews of noted AI frameworks, tools, and languages such as Python, TensorFlow, and PyTorch. Written in 2019, this is only missing Julia, the emerging programming language of choice for machine learning. Worry not, Tom provides a solid foundation to these services.
So, is your organization ready ?
Google, Amazon, Facebook, and many other global firms have already embraced AI. Google pivoted from a mobile company to an AI-first company in 2017. Microsoft’s Azure service somewhat stalled at launch until Microsoft supercharged Azure as their AI cloud service moving forward and never looked back.
AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking.
In conclusion, Artificial Intelligence Basics covers the basics and pushes a bit further into AI services that are necessary for organizational leaders, educators, and workforce development teams to understand as a key first step in their AI transformations.