Wait, I’m not following this article. Here is a very biased view from an enterprise usage perspective. The value IMO of GPT is that it’s architecture allows it to analyze and understand large amounts of text data in real time, making it an incredibly useful tool for data analysis and decision-making.<p>Were are we commming from, current AI and data analytics platforms had many faults, but their biggest problem was performance. These systems arae often slow and cumbersome, which make it difficult to analyze large data sets in real time. GPT tech overcomes these challenges by leveraging deep learning that allow it for process of large volumes of data quickly and efficiently. <i>Most of the inherent cost comes at the training period.<p>Currently, at the enterprise level organizations still have many challenges when it comes to data management. For example, many organizations struggle with data silos, where different departments have their own data sets that aren't easily shared or integrated. This can lead to inefficiencies and make it difficult to get a complete view of the business. Not to mention the data confidence issues that arise when you cross correlate some of the data.<p>However, I feel like GPT can help organizations better understand customer behavior, identify trends, and make more informed business decisions. Tech like GPT can help organizations automate many repetitive tasks and improve data quality as the data treatment would can apply AI based data quality standards. </i>Single source of truth.<p>One key area of benefits is that GPT tech can enable natural language processing (NLP) tools like sentiment analysis and entity recognition can be used in conjunction with GPT to provide even deeper insights into customer behavior and preferences. Similarly, machine learning tools can be used to help train and optimize GPT models for specific use cases.<p>In practice, adopting GPT at scale, some technologies will become redundant or obsolete. For example, traditional rule-based systems may no longer be needed if GPT can provide more accurate and nuanced insights. Why run structured databases except to capture transactions? IMO, there are many solutions that are in reality just a data schema play, that is, they create the schema and the BI to capture aand transform the data to make sence of it otherwise, these technologies, again assuming wide adoption of GPT tech are at the birth of obeselence.