Читать книгу Artificial Intelligence for Business - Jason L. Anderson - Страница 7

The modern era has embedded code in everything we use. From your washing machine to your car, if it was made any time in the last decade, there is likely code inside it. In fact, the term “Internet of Things (IoT)” has emerged to define all Internet-connected devices that are not strictly computers. Although the code on these IoT devices is becoming smarter with every upgrade, the devices are not exactly learning autonomously. A programmer has to code every new feature or decision into a model. These programs do not learn from their mistakes. Advancement in AI will help solve this problem, and soon we will have devices that will learn from the input of their human creators, as well as from their own mistakes. Today we are surrounded by code, and in the near future, we will be surrounded by embedded artificially intelligent agents. This will be a massive opportunity for upgrades and will enable more convenience and efficiency.

Although companies may have implemented software projects on their own or with the help of outside vendors in the past, AI projects have their own set of quirks. If those quirks are not managed properly, they may cause a project to be a failure. A brilliant idea must be paired with brilliant execution in order to succeed. Following the path laid out in this book will put you on a trajectory toward managing AI projects more efficiently, as well as prepare you for the age of intelligent systems. Artificial intelligence is very likely to be the next frontier of technology, and in order for us to maximize this opportunity, the groundwork must be laid today.

Every organization is different, and it is important to remember not to try to apply techniques like a straitjacket. Doing so will suffocate your organization. This book is written with a mindset of best practices. Although best practices will work in most cases, it is important to remain attentive and flexible when considering your own organization's transformation. Therefore, you must use your best judgment with each recommendation we make. There is no one-size-fits-all solution, especially not in a field like AI that is constantly evolving.

Ahead of the recent boom in AI technologies, many organizations have already successfully implemented intelligent solutions. Most of these organizations followed an adoption roadmap similar to the one we will describe in this book. It is insightful for us to take a look at a few of these organizations, see what they implemented, and take stock of the benefits they are now realizing. As you read through these organizations' stories, keep in mind that we will be diving into aspects of each approach in more detail during the course of this book.