
The graphic I created for this post has come from my experience in BI and AI AI is being positioned message as a revolution of What we have learned and delivered for decades. Intelligence is built overtime Knowledge is acquired and changes with new discoveries
Businesses need to quickly understand it is not a panacea or really anything new at a high-level AI is simply using rules and logic and words to draw conclusions. AI can just do it faster and we can know better.
If we want to stick with the intelligence. I remember that when a baby is born. It has the ability to learn and create, but that is based on what is fed, both intellectually and nutritionally we seem to forget that.intelligence is acquired it is not spontaneous
I have realized for many years there is a certain methodology and strategy we follow in BI whether it’s still data quality MDM, or Data. Governance the goal to get to is that we can digest information at a high-level and not try to consume the detail.
The future of a business and also AI will be based on what it is said it is not magic What is explosive growth of open source AI many of these models are specialized for domains. They are not specialize for your business. That knowledge only comes from you. It has to be properly organized cleaned and fed to AI in essence. AI is the new Data Warehouse House. Data quality, MDM, Data Governance is more important than ever all AI has done is replace the manual work, and make it easier to establish standards, and the logic behind metrics, and anything that AI produces will have to be curated by humans, real intelligence versus artificial intelligence
While, you’re a busy daydreaming about AI I challenge anyone to read the actual definition of intelligence not a single AI is capable of all of these just a few specific things, and in that case, it is solely based on what it was spcified and the definition, too establish its paradigm of automated decision, making not  thinking
1. Intelligence https://en.wikipedia.org/wiki/Intelligence
Finally, I stress this is not a revolution. It is an evolution. Well, we may reduce the cost an effort to create many of the deliverables. We need to create AI. Ultimately will need much review oh, deliverables as to review that output.this is in no way anti-AI post a ice fantastic, and can be extremely beneficial when used correctly and realistically this is in no way anti-AI post AI is fantastic, and can be extremely beneficial when used correctly and realistically. AI will actually revolutionize BI and Data Governance It is a natural evolution of the capability. Everything that has been stressed or we continue to be stressed. Wait for it. Keep in mind the new term for wrong answers is my AI is hallucinainting this may come as a surprise, but for decades that is has been identified as data quality. AI’s recent is Astors have been explained it to produce additional information however, we have known Eva data quality issues how to resolve their relation to information for decades. we simply need to apply, in addition to the newly released AI capabilities thtu LLM
