I’m writing a book entitled “Artificial Intelligence & Analytics on AWS“.
I’d like to explain some of the reasons I’m writing this book in the context of some great songs. Co-author Bill Ramos & I came up with this one day!
The first song I’d like to reference is R.E.M.’s “The End of the World as We Know It“:
Artificial Intelligence (AI), which includes the sub-technologies Machine Learning (ML) & Deep Learning (DL), is affecting virtually every technology & vertical, advancing analytics at such a pace that calculations made in seconds via AI would take humans a lifetime or more.
Many people are worried that AI will cause many people to lose their jobs. There’s really no part of our economy that won’t be disrupted by AI, but we’re going to have to change what we do.
Rather than worry about massive unemployment, the challenge is to restructure how we run our businesses to use these technologies & to rethink how developers & architects work, empowering them with the knowledge of how to implement these technologies.
Whenever major technologies cause businesses to pivot, it’s called “Digital Transformation”, & this has happened many times in the past. What’s different now is that this Transformation is THE END OF THE WORLD AS WE KNOW IT. This time, Transformation is going to be an extremely rapidly advancing “Continual Transformation”.
Thus, in this book I outline how companies, CXOs, developers, architects, etc. can start to leverage AWS advanced analytics to thrive in this major IT transition, regardless of where they are today (in the cloud, not in the cloud, no matter what type of analytics they use today or the state of their current architectures).
The second song I’d like to reference is John Lennon’s “Imagine“:
IMAGINE if every company, every developer, every architect can easily learn some very difficult technologies quickly and put them to use now. IMAGINE if everyone improved their businesses with cloud technologies and advanced analytics like AI & ML.
This book will lower the barrier to that utopia by showing how to build complete, complex analytical workflows and apps by walking readers through each step, building the most common types of advanced analytical architectures to solve real-world problems facing businesses today.
It will also lower the barrier of entry to using the AWS cloud & advanced analytics by explaining which of the 100+ AWS individual Services are used in these architectures sorted by “Categories of Functionalities” (such as databases/data stores, compute, etc) explained in the beginning chapters. At the end of each of these chapters, I provide “Quick Reference Tables” to summarize the “same but different” functionalities that each Service provides that can be leveraged to quickly look up which Service within a “Category of Service” should be chosen based on unique criteria & specific problems readers are trying to solve.
The third song I’d like to reference is “I Can See Clearly Now, the Rain is Gone“, originally written by Johnny Nash but made famous by singer Jimmy Cliff:
I’d like to highlight here how AWS is helping everyday developers SEE CLEARLY NOW how to learn, use, & develop using AI & ML. There’s 1 AWS Service & 1 AWS Product that will make THE RAIN GONE.
The Service is Amazon SageMaker. SageMaker is a fully managed ML Service that helps everyday developers learn how to build, train, & deploy ML models by hiding under the covers most of the complexities involved in learning these steps as well as pre-configuring & optimizing the algorithms used (the 10 most commonly used algorithms used) in building ML models.
The Product is AWS DeepLens. DeepLens helps everyday developers learn how to build & work with Deep Learning Computer Vision applications. It is a wireless high-definition video camera built specifically for developers to get hands-on experience using ML. It integrates with SageMaker & other AWS Services, has many tutorials & pre-built models so you can start learning immediately.
Overall, my book will help EVERYONE quickly learn & understand how to build on the AWS cloud AI-empowered analytical apps & workflows, what types of AWS Services are used when building them, how to choose the right Service for each functionality, & how to successfully build for today & in the future.