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SXSW 2018: The Future Of Data Science Is In AI, And Ople Is Already There

Ople Is Using AI To Create AI

Companies big and small, from coast to coast, and across the globe all use data science to help predict what outcomes will be. Some companies hire their own in house data scientists while others use consulting firms. Data projects can become cumbersome, costly and time-consuming (remember those words).

Companies use data science to help predict what customers will do. Perhaps they want to change rates for a service or introduce a new product. How will customers respond, where are the opportunities, should we dive into this project. All of these are things that can be answered through data science in the enterprise world.

Data scientists take customer data, trend analysis, and data from other sources. With that data they create models and once those models are complete they can run more data through them so that companies know what to do next. Again this is all cumbersome, costly and time consuming.

A company will tell their data scientists what they need. Data scientists will get to work developing models. It could take them 3-6 months to just come up with the models, and then the important questions aren’t even answered. In today’s competitive landscape, especially in technology sectors, those 3-6 months can be the difference in a company’s life or death.

ople-sxsw-top-1 SXSW 2018: The Future Of Data Science Is In AI, And Ople Is Already ThereOple is an artificial intelligence company (AI) that uses AI to help create these data models, essentially they’re an AI company that uses AI to create AI. Pedro Alves, the founder of Ople, has spent decades in data science and artificial intelligence and realizes that they could create an AI platform and company that could replace the data scientists and cut that time back from 3-6 months to 3 or 4 days, or even quicker.

Ople creates these important data models and runs them to help companies with their data projects. They do this using their teams vast knowledge and experience but also, Ople itself learns and grows with each data project it performs.

“It’s not only that our software builds models automatically, but it learns from the experience of building models. So with every project our system sees, it gets better at it” Alves told at SXSW last week.

AI is everywhere and it’s been around for a long time. Alves points out that the hands free paper towel dispensers in the mens room are a form of artificial intelligence. The machine knows when your hand is in front of it and dispenses a paper towel. It’s an intelligent transaction, albeit at the lower level, but it’s still AI.

AI (and Blockchain) were all the rage at SXSW this year. Alves believes that after nearly two decades in the business, now is AI’s time to change the world. Alves says that “nothing can change the world unless it’s easy, cheap and ubiquitous” rather than cumbersome, costly and time consuming. Currenty AI isn’t easy, cheap or ubiquitous, but Ople’s software platform makes AI easy, the moment it’s easy more people can do it which makes it cheap (and ubiquitous) at the same time.

There are more insights from our interview with Alves in the video above. If your company is embarking on a data science project you’re going to want to check out Ople, now, here at

Nibletz is the #1 Google News source for startups at SXSW and the SXSW Accelerator. Check out all of our coverage here.