Data is the lifeblood of search.
The remarkable evolution of AI and the introduction of generative AI has been built on data foundations.
However, the success of any innovation, product, or technological advancement boils down to the quality of that data. Utilizing the correct data is essential when connecting generative AI, search, and content marketing.
Data is exploding, with the IDC projecting that the size of global data will reach 175 zettabytes by 2025.
This is twice the amount produced last year, signaling a significant growth trend. I actually predict more!
To adapt to this data boom, professionals utilizing generative AI must evaluate their data sources and identify the most valuable functionalities for the future.
Poor Vs. Quality Data
The detrimental impact of poor data on businesses is undeniable.
Poor-quality data is the root cause of operational disruptions, inaccurate insights, and poor decision-making.
According to a report by Gartner in 2021, organizations suffer an average annual cost of $12.9 million due to bad data quality.
In the past, data quality efforts were primarily focused on structured data in relational databases.
However, marketers now face new challenges with the rise of big data systems, cloud computing, and unstructured data types like text and sensor data. Managing data quality across cloud systems has become essential.
In search and content marketing, data has never been so important. However, 57% of marketers misinterpret data,...
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