.png "The Top 3 Data Engineering Challenges & How Airbyte Solves Them")
The Top 3 Data Engineering Challenges & How Airbyte Solves Them
At one point-in-time, large organizations needed another type of CEO – the Chief Electricity Officer. This was a time before there was an accessible and reliable grid to plug into. Organizations that required complex electricity setups employed a CEO. They became extinct over 100 years ago due to the standardization of the consumption layer, and increased availability and reliability of electricity from the main grid.
Enter the role of the Chief Digital Officer (CDO), sometimes now called the Chief Digital and Artificial Intelligence Officer (CDAIO). Similar to the CEO in my example, this role exists to create accessible and reliable technology solutions.
We’re at a turning point in human history where multiple life changing technologies are coming of age all at once, the most prevalent such as Generative AI becoming mainstream only recently. The dirty little secret of Generative AI, and broader AI applications is that the outcome is heavily influenced by the quality and understanding of the context from the model being used, and the underlying data.
In my experience, this is also true in something as simple as producing a dashboard. In the end, technology, no matter how complex it is under the hood, breaks down when there is a misunderstanding as to the meaning of the outcome.
