Artificial Intelligence Primer – A Brief History and the Basics of AI.
Continuing on with this post series from The Innovation Garage®, if you like backstory, here’s a foundational primer with some quick historical points on the evolution of Artificial Intelligence.
To view the full article visit this link “Artificial Intelligence – Technical Savior or Carnival Snake Oil”.
The initial concepts of AI evolved in the early 1950’s, with the work of Alan Turing asking the question, “can machines think?” John McCarthy is generally recognized as the person who invented AI with a series of lectures in the mid 1950’s.
Over the last seventy-five (75) years those early stage concepts evolved into some of the basic Artificial Intelligence building blocks that have become familiar today.
The overarching container is referred to as Artificial Intelligence. AI contains sub domains of Machine Learning and Deep Learning. As shown in the image below:
Deep Learning is at the core what is driving today’s AI explosion. Deep learning has introduced advanced solutions of computer vision, pattern recognition and natural language processing. Deep learning is the foundation of the most all of the publicly available tools.
Agentic AI or Agent Based AI, also called generative AI is based on prompting AI tools with roles or instructions to research and analyze data, conduct an internet search or to create images. Agent based AI is the user interface and user experience (UX) of most of the publicly available AI tools offered initially free and now with a subscription based model for access. These Agentic AI or Agent Based AI tools, also called generative AI is based on providing prompting guidance with roles or instructions to research and analyze data, conduct an internet search or to create images, like the one in the post here.
Agent based AI is the typical user interface and user experience (UX) of most of the publicly available AI tools. The “agent” is typically the interface in which users will prompt the AI tool for guidance and insight.
These tools offered initially free are now with a subscription based model for access. The business models are evolving at a rapid and at a pace that is interesting to observe. As these business models are evolving, there is an interesting confluence of Private Equity and investment recovery at play with the user base.
In our next post we’ll discuss the AI business models that are evolving at a rapid pace and looking at the business model backstory and we’ll provide some observations on the following question:
Is Artificial Intelligence the next truly transforming technology, the next rug pulling grift, or perhaps a blend of both?
If you’d like to learn more about AI, check out The Innovation Garage AI primer session offerings. In these session we present high level approaches that will support your organization to sensibly explore and create an effective AI strategy for your organization. In the sessions we blend innovation strategy and creativity tools along with long term strategic goals to explore what approach may be best for your organization.
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