Data Science delivery has been traditionally very manual and slow.
Xpanse AI is a Data Science Automation tool delivering Models from complex relational databases within minutes.
Companies around the globe already use Xpanse AI to accelerate their time-to-insight and meet their demand for data-driven decision making.
“We need 30 Models ASAP”
Different products, customer segments with diverse demographics, many ways in which those customers can abandon the services – those differences often cause the need for separate Models.
Insurers ask for separate Cross-Sell Models for each product sometimes broken down by customer segments. An average telecom needs between 30 to 50 different Churn Models – not counting cross-sell or fraud&abuse models. Typical SaaS vendors need effective conversion models for each product line often separately by geographies as users behaviors may vastly differ between the continents and cultures.
That’s a Lot of models.
Unfortunately, this demand has been radically suppressed by the extremely slow delivery process.
+ Slow Delivery
“Traditional Data Science does not scale”
As was noted repeatedly by Harvard Business Review and elsewhere (here and here and here) Data Scientists do not scale.
What does that mean? It means that the more models you need to build the more time it takes. The more data you want to use – the more time it takes – and often disproportionately so. And finally, it means that hiring more Data Scientists may not speed up the delivery as expected.
Model development is slow because of the amount of manual work Data Scientists have to do when fighting their way from a data store to the deployed model.
Databases keep the data in a shape supporting Operations and Business Intelligence at best. This data needs to be massively transformed to match the tight requirements o Machine Learning algorithms. Transforming databases for Machine Learning is exactly how Data Scientists spend their lives – not playing with AI but grinding their way through the data preparation process taking weeks or months, before they can do anything useful with it.
= Low Impact
Businesses need data-driven models by yesterday and if Data Scientists can’t deliver those models quickly – they are not making the very much expected impact.
With the increasing speed of new data sources appearing everywhere – Data Science delivery has been consistently becoming even more time-consuming.
In the era of Big Data the traditional Data Science delivery process is clearly broken.
Xpanse AI – Automated Data Science
“I can move between different predictive objectives swiftly, integrate my data within hours while testing thousands of Features and produce Predictive Models effortlessly.”
Xpanse AI is a tool designed with one purpose – to deliver Predictive Models on complex relational databases as fast as possible – without the need for coding or building data transformation pipelines. To achieve this, Xpanse AI replaces the need for lengthy and limited Data Integration and Feature Engineering processes with AI-driven autonomous search across thousands of possible hypotheses, aggregates and correlations.
It’s computing power put to its best – traversing the data at lightning speed, relentlessly searching for nuggets and leaving no stone unturned.
So far, Xpanse AI has been gaining traction with businesses using it for preventing Churn or detect Fraud in the telecommunication sector, optimizing hospital operations in Healthcare, improving user conversions in the busy SaaS world, forecasting energy price spikes and more. Xpanse AI was built to empower users who appreciate the ease, the speed and the scale of the delivery that Xpanse AI enables.
As the gaming industry veteran Peter Salinas puts it: “With Xpanse AI I can move between different predictive objectives swiftly, integrate my data within hours while testing thousands of Features and produce Predictive Models effortlessly.”
We hope you will find Xpanse AI helpful in making an impact for your business.