Thank you for reading Neil Gentleman-Hobbs an AI guide that attempts to jargon bust
Companies unsurprisingly fail to utilise 70% of the knowledge they have paid to create. ERPs or CRMs though expensive are great, but, most of your historic and current data is found elsewhere on spreadsheets, documents, PDFs and good old prospect sheets.
With a private pre-trained GPT you get to ask eye opening questions saving on the services of expensive ‘prompters’, who are fast becoming the snake oils salesmen of the AI world. Your time is valuable so let’s cut to the chase……
A private GPT helps you find data your company doesn’t know it has in several ways:
- Identifying hidden patterns in data: A private GPT can be trained on a company’s internal data to identify hidden patterns and relationships that humans might miss. This can help uncover new insights and opportunities that were previously unknown.
- Unearthing data from silos: A private GPT can access and analyze data from disparate sources within an organization, including different databases, file systems, and cloud storage platforms. This can help identify data that is siloed and not being used to its full potential.
- Comparing data from different sources: A private GPT can compare data from different sources to identify discrepancies and inconsistencies. This can help uncover errors and biases in data, and ensure that data is accurate and reliable.
- Understanding customer behavior: A private GPT can analyze customer data to identify trends, patterns, and preferences. This can help companies better understand their customers and improve their products and services accordingly.
- Assessing risk and compliance: A private GPT can analyze data to identify potential risks and compliance issues. This can help companies proactively address problems and maintain regulatory compliance.
In addition to these specific applications, a private GPT can also be used to general data discovery tasks, such as:
- Finding specific data points: A private GPT can be asked to find specific data points based on a given criteria, such as keywords, timestamps, or file type.
- Summarizing large datasets: A private GPT can be used to summarize large datasets, providing a quick overview of the data’s key findings.
- Generating reports and insights: A private GPT can be used to generate reports and insights from data, providing a more comprehensive understanding of the data’s contents.
Overall, a private GPT is a powerful tool for companies that want to make better use of their data. By identifying hidden patterns, unearthing siloed data, and comparing data from different sources, a private GPT can help companies uncover new insights, improve decision-making, and gain a competitive advantage.
Here are some specific examples of how a private GPT like #smartRmyGPT can be used to find data your company doesn’t know it has:
- A marketing company could use a private GPT to identify customer segments that are more likely to respond to specific marketing campaigns.
- A retail company could use a private GPT to identify patterns in customer purchase data that could be used to improve product recommendations and customer engagement.
- A financial institution could use a private GPT to identify potential fraud or money laundering activities in its customer transactions.
- A healthcare provider could use a private GPT to identify patterns in patient data that could be used to improve diagnosis and treatment.
The possibilities are endless. By leveraging the power of a private GPT, you can unlock the true potential of your data and gain a deeper understanding of your internal habits and perhaps more importantly your customers, operations and market.
In these hard times for innovative challenger brands we need to think smartR AI So why not talk to Neil Gentleman-Hobbs or Oliver King-Smith Greg James about our low cost, low resource smartRmyGPT …. the private GPT that will save you and your staff’s jobs, time and money.