The data supply chain industry is what keeps most of the economy moving. Without customer demand, the need for supply becomes moot. But being able to run an efficient supply chain makes a big difference. Watch this video to learn more about the AI experience Diveplane has to offer.
Meeting consumer demand takes money, but more importantly, it takes efficiency. Just being able to supply a demand is not enough. With Diveplane’s synthetic data platform, it takes your organizations’ supply chain system to the next level. With AI knowledge and learning, your system becomes more efficient, saving your company money along the way.
Don’t wait until it’s too late to discover what many already have found. Not only can you test the software, but we offer knowledge and support the entire way. Contact Diveplane today to get started and speak with one of our experts.
Video Transcript
Timestamps
0:00 Intro
0:36 The Data Is The Model
0:48 Efficiency Of Your AI
1:20 AI Predictions
1:48 Synthetic Data
So, we see it as an inefficient data supply chain. Historically, AI has been based on neural network, a platform like the brain, and the brain needs lots of data, but it doesn’t necessarily when it produces result tell you exactly what it was thinking at the time, and the only way that organizations can sometimes even get to that is by feeding the brain or the neural network more data.
0:36 The Data Is The Model
What Diveplane has done is we turn that on the head and we’re saying, well, let the data be the model. So our platform has an approach of only having one model and the data is the model.
0:48 Efficiency Of Your AI
So that enables our customers to have a myriad of questions that they want to ask the AI to solve without the inefficiency of having to rebuild the model every time they pivot from ask me X to ask me why to ask me Z, which can be really inefficient for a business to do that. So we’ve enabled our platform to be very transparent and you can interrogate our platform very easily to enable predictions.
1:20 AI Predictions
So if you’re predicting an outcome, our model if you will, of businesses predicts, explains, and show. So predict an outcome and explain and show how we’ve come to that particular prediction. Very simply, very, very efficiently, and our approach has also enabled us to roll out a number of applications for our platform, and one of them is the creation of synthetic data.
1:48 Synthetic Data
And synthetic data is really now quite a buzzword in the industry, and there’s a number of companies now selling synthetic data solutions. I think it’s becoming more essential now to identify what we mean by synthetic data and what you can use synthetic data for, and our interpretation really where you want data you might have some data but you can’t use it, and that can’t use it often comes down to governance or legislation, which means you can’t really use that data to support, again innovation or business analytics, and what we’ve done at Diveplane is created an AI-generating synthetic data-generating engine called Gemini that enables our business to really capture the value from their data without any risk to data privacy.
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