In the evolving world of technology, one of the most significant advancements we've seen is the rise of generative AI.
This powerful technology is revolutionizing the way we interact with data, making it more accessible and understandable for everyone, regardless of their technical knowledge.
You might be wondering what exactly is generative AI?
Simply put, it's an artificial intelligence technology that can understand and generate human like text. It's a technology that's taking the world by storm, and it's something that can be harnessed to supercharge your data analytics.
Imagine being able to ask your data any question in natural language and receiving an immediate, accurate response.
That's the potential of coupling generative AI with data analytics.
It's like having a personal data analyst at your fingertips ready to provide insights at a moment's notice.
And the beauty of it is that it's not just limited to one industry.
Whether you're in finance, health care, retail, or any other sector, generative AI can be a game changer. It can help you make sense of complex data sets, identify trends, and make informed decisions Introducing GPT analytics.
GPT analytics is an in-house solution that can be paired with any proprietary data warehouse or ERP database.
Just ask questions about your data in natural language and get responses in seconds. The system can be trained on custom datasets or deployed out with pre-built training on standardized platforms like Dynamics 365, NetSuite, or SAP.
In this example, We are asking about a particular sales rep's invoice and customer information for a given time period.
GPT analytics takes this question determines the proper query to execute, and then returns the data in a formatted response.
As long as the information exists in your data, GPT analytics can be trained to understand it and answer questions about it.
Here, we are asking GPT analytics to find information about sales rep performance in a given region over a specific time period.
Behind the scenes, this information is spread across several different data entities in the database.
GPT analytics understands the relationships between those entities and can bring the data together to answer the question and even generate a graph depicting the results.
In this final example, we are asking GPT analytics to make inferences on the data in this query.
Not only are we asking the system to go look at the metrics in the data to determine who the best seller is, but also to justify why it thinks that particular rep is the best seller.
This is a great example of how we are harnessing the power of AI to find insights and enhance our data analytics.
In the GPT analytics site, questions can be linked together in the same conversation, or tracked as separate conversations.
A history of questions is maintained and can be reviewed at any time.
Results from the questions can also be extracted or copied out for emails or presentations.
In conclusion, GPT is not just a tool, it's a solution. It's a way to make data analytics more accessible, more efficient, and more powerful. So if you're ready to take your data analytics to the next level, consider the potential of GPT analytics.
It could be the game changer you've been waiting for. One more side note, I am actually not a real person.
This avatar, video, and voice were all generated with artificial intelligence with minimal human edits.