Enterprise AI For Dummies. Zachary Jarvinen
intelligence get lots of press and screen time. Consider a few recent headlines:
The U.S. Army is creating robots that can follow orders.
DeepMind’s AI has now outcompeted nearly all human players at StarCraft II.
A robotic hand taught itself to solve a Rubik’s Cube after creating its own training regime.
A new AI fake text generator may be too dangerous to release, say creators.
This AI bot writes such convincing ads that Chase just “hired” it to write marketing copy.
Remember back when the caption “Wi-Fi Ready” or “Bluetooth Ready” was stamped in a starburst graphic on the front of boxes for everything from televisions to refrigerators? AI has now reached that exalted status.
Of course, you have the smart speaker of your choice and maybe a smart thermostat. But wait, there’s more. You can get an AI-powered toothbrush that tattles to your smartphone about your brushing habits, via Bluetooth of course. An AI-enabled pill dispenser reminds you to take your medicine. And an AI-powered vacuum cleaner tidies up before the dinner guests arrive.
But AI is not just about gadgets and novelties. It also keeps the store from running out of water, batteries, and strawberry-flavored Pop-Tarts during hurricane season. It makes sure that a factory doesn’t exceed emissions standards. It figures out supply chain logistics, taking into account product quality, weather, tariffs, geo-political hotspots, compliance, and a host of other factors.
AI is also about increasing revenue and creating jobs. Yes, you read that last part right. Contrary to common warnings, AI could boost employment levels by 10 percent if the rest of the world invested in AI and human-machine collaboration at the same level as the top performing 20 percent.
About This Book
In this current AI renaissance, new advances appear on a near-daily basis, and that’s a good thing. But this book isn’t about the new, sexy, flashy, bleeding-edge, headline-grabbing utopian AI. It isn’t about the futuristic dystopian AI dreams portrayed in movies, books, and conspiracy theories either.
This book is about what AI can do for you, right now, in your business. It’s about well-established, tried-and-true technology and processes that are currently being used in businesses and organizations all over the world to help humans become more productive, more accurate, more efficient, and more understanding.
What you won’t find in this book:
Deep dives into the mathematics and science underpinning AI
Coding tutorials, examples of coding, or coding exercises
Libraries and packages that you have to download and install
Exercises to complete or problems to solve
What you will find in this book:
A survey of the market drivers for AI and the enabling technology that makes it possible
A very high-level, layperson’s overview of the algorithms and techniques that pragmatic AI uses
A quick stroll down AI memory lane to see if you recognize early implementations you likely used
Some tips on picking a solid use case for your first AI project for your business
A survey of 21 vertical and horizontal markets to see how pragmatic AI can help you now
Strong, Weak, General, and Narrow
Often, people don’t differentiate between the AI that checks the grammar on your resume and the AI that becomes Skynet and ushers in the robot apocalypse. Just like coffee, ice cream, Pringles, and Pop-Tarts, AI comes in many flavors, but at a high level, it falls into two categories:
Strong/general AI: Also known as artificial general intelligence (AGI), general AI is an intelligence that is indistinguishable from human intelligence. In other words, for now, AGI resides solely in the land of science fiction and speculation.
Weak/narrow AI: In contrast to general AI, narrow AI lives firmly in the land of the now and the real. Each implementation has a very targeted (hence narrow) focus on accomplishing a specific, practical task. In fact, narrow AI is often called practical or pragmatic AI.
Pragmatic artificial intelligence is the subject of this book. You can apply AI to many problems, but in your business, the solutions all fall under three business goals.
As you read about the various vertical and horizontal markets and the related use cases, I might talk about workflow optimization or recommendation engines or predictive maintenance, but ultimately every use case falls under one of these three goals.
Foolish Assumptions
I am assuming that you, the reader, fall into one or more of the following categories:
You have a college-level education, such as a bachelor’s degree, MBA, or professional certifications, or are pursuing a business degree.
You read trade publications and books on business management.
You possibly have leadership and/or IT skills, but not necessarily programming knowledge.
You fall somewhere on the spectrum between:Business executive and decision-maker at a mid-sized to large organizationConsultant and strategic advisor, formal or informalAmbitious junior and up-and-coming employeeBusiness school or related student
Icons Used in This Book
As you read this book, you see icons in the margin that indicate material of interest. This selection briefly describes each icon in this book.
Beyond the Book
To extend the experience beyond what’s in print here today, I’ve put together these additional resources:
Cheat sheet: A quick reference to the major bullets and tables from the book. Feel free to print and post to your wall or simply glance at it when you need a reminder of some of the most fundamental concepts