Our company investorAi has been in the field of Artificial Intelligence (AI) since April 2014 (which incidentally beats Google who entered the market in 2017 with Transformer and then 2018 came Bert).
We have worked extensively in the fields of UK Defense and the Investment markets on the UK and US side and know the value of data.
We know that finding key elements within that data can give businesses a speed, time, and knowledge advantage that no one else has.
In essence, our experience is: Large Data Sets and AI.
But we also know businesses well. We know they often have data in numerous places spread around the organization. It often sprawls over databases, spreadsheets, word documents, Emails, and PDF files and in employees’ personal folders on company servers or locally on their laptops.
What would be the power to your business (or your client’s business) to be able to allow you to interact with all company data seamlessly and intelligently?
We think an example will help.
The following was a dry news item stored on a company web server. The news item was full of useful information but no one in the organization knew how to extract the information and talk to it.
That’s where we came in.
A snippet of the news item follows (click to expand):
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| The News Item |
One of the management team asked an interesting question, which in classical computing is very difficult to answer:
“What stock does the article talk about, and how can we tie that data against our other systems?”
We immediately knew: AI built on their own custom trained model.
We worked with them and their data, and we demonstrated it to their senior team. The results even blew us away. The following are genuine questions asked to the AI system. We have presented it here in text format due to a Non-Disclosure Agreement (NDA) to not show their internal systems.
Here’s the questions that were given to the AI that we called Aeryn:
One of the traders wanted to know if they could ask the document about data in other systems (Question the Stock Market Data based on the News):
One of the technical guys wanted to know if he could ask the document about data in another system that stored the unique company ID of that stock market ticker
the article was talking about (Question the News using Data in an External Trading System):
The finance staff wanted to talk to their data (this has been totally anonymized - it represents questioning the Finance System from the same interface):
The front desk wanted to know straight away about a customer phoning them. They needed to know was the person calling a real customer and immediately have their data
to hand (data anonymized). This shows questioning the Customer system from the same interface.
We thought we'd test out a really tough classicual question on our own data: When was the most recent time GSK shares had a cross over between SMA(7) and SMA(20)? This meant the AI had
to find Price data, find technical indicator data and then determine the crossing points between the two math functions. Then decide which one was the latest.
So what are we saying?:
Your company probably has no idea the WEALTH of data it is sitting on and possibly little understanding of how POWERFUL that data could be to you when joined up.
Let us help you bring the power of AI to your business and allow us to grow your business as we grow ours.