The hype in artificial intelligence (AI) has been revived, with all sorts of expectations and misunderstandings. So it's useful to find out exactly what artificial intelligence is and how to deploy it. But where do you get that knowledge if you are not a machine learning programmer or AI expert?
A great place to start is Applied Artificial Intelligence - A Handbook for Business Leaders. The authors wrote a practical guide for leadership who want to use machine intelligence to improve their organisations and communities. This book is still timely and written in a very readable way.
In the expanded 2nd edition of the Applied AI book, the authors dive into the latest developments in AI, particularly in large language modeling and AI-driven image generation. They explore how various AI functions in companies can not only use predictive AI, but also embrace generative AI and implement these advanced technologies safely and ethically for the benefit of both organisations and society.
Datacorvee: it should be done, but no one wants to do it
I wrote a review of “Applied AI” on CMS Wire back in 2018. What I still love about the book is that the authors pay ample attention to the essential role of data in artificial intelligence. There is usually far too naive a view of the huge job of “data cattle”: cleaning and organising data. That is 80 percent of the work, which must be done by specialists. Specialists who are enormously scarce.
Armed into the hype
After reading this book, I think you can also better interpret the latest hypes of ChatGPT, (chatbot) Dall-E (illustrator), Midjourney (photomaker), Deepswap (videomaker) and countless other examples.
You can request more resource materials from the 'Applied AI' book and be sure to check out Mariya Yao's blog TOPBOTS if you want to dive deeper into AI.
On digivolwassen.nl, I will blog regularly about artificial intelligence and what it can really do for people and organisations today. And without pretending that we are suddenly moving into an “AI society.” Indeed, that is highly exaggerated, but I have already seen a few “experts” claim it.
Exaggeration is also a skill
I have a weakness for exaggerated statements about technology. ;-). This one I don't want to keep from you.
In the Computable article from 2017 (!) Business advice: survival in the world of bots, ai and big data (Dutch), they unabashedly claim: “In the foreseeable future (that means: within a few weeks, EMH) we will see it all around us: ki and robots that provide our children's education, provide medical assistance, point out criminals and help us discover a new world of virtual and augmented reality.”
I haven't seen them pass by in everyday practice in recent years. Have you?
Even now, people make all sorts of statements about the enormous benefits vqn AI, and confusion with AGI (AI that is more intelligent than humans) is also rife. Read the book “Applied AI” and you can argue why there is no such thing yet.
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