A short conversational transcript from a YouTube video discussing how organizations should approach AI and Power BI investments. Speakers emphasize that AI depends on data maturity and that companies must progress through stages (starting with descriptive analytics) rather than skipping directly to advanced tools or platforms.
Lots of people want to know where to start using AI and power bi and particularly where companies should invest their.
Money, the part they need to understand. Especially with AI which is founded in your data, you cannot skip the maturity curve. Say you are in a country where you only got rickshaws, those tuk tuks or whatever you want. All of a sudden now the restrictions limited, you can go buy a Tesla. If we were using SQL servers in 20 years ago, and then we use Azure SQL, then we use and whatnot, there's no point of going through that evolution. You can go bypass, for example a tool, whether it's snowflake databricks or even like fabric, which we are specialized in. However, when it comes to the actual material, which is your data, you have to start with descriptive.
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