PAPIs Connect Shows Predictive Analytics APIs Gain Traction

The International Predictive Analytics API Conference,, is hosting an offshoot event from their main conference, PAPIs Connect, aimed at showing how businesses are integrating predictive APIs into their production workflow.

PAPIs Connect will be held in Paris on Thursday, May 21st, in the Maison Internationale at the Cité Internationale Universitaire de Paris. While the main PAPIs conference series focuses on technical and mathematical aspects of predictive analytics APIs as well as showcasing some early use cases, the focus of the Connect event is to explore how predictive analytics APIs are being integrated into mainstream businesses today.

“At, we saw that 25% of participants were from non-technical backgrounds, so it showed us there is an audience who are more business-minded and interested in predictive API tools,” says Conference Organizer, Louis Dorard. He continues:

Developers understand what they can do with machine learning (ML) and ML libraries, but still nothing happens in the company because decision-makers don't know how to connect this tech to their business objectives. It’s difficult if you don't know the use cases to be inspired to create your own.

The predictive and machine learning API tool industry has been growing rapidly. Alongside that growth, this year has also seen an increasing number of existing tech and API providers beginning to include a predictive analytics feature or tool amongst their product line.

The first, held in 2014, saw a mix of technical and business participants, with a strong participation amongst those who were already using or providing APIs in their businesses and seeking to extend that to predictive analytics APIs. 21.3% of attendees said they “couldn’t live without APIs,” while 31.3% were publishing their own APIs as well.

PAPIs infographic on participation in 2014

One of the speakers at PAPIs Connect will be Florian Douetteau from Dataiku, which makes a free Data Science Studio (DSS) product available to developers. DSS allows users to enter data in a variety of formats, clean it, build models, and either visualize directly, or export them via a REST API into other business applications and workflow tools. Douetteau will discuss how predictive models can be put into production, showing examples from how DSS is being used in a range of industry use cases, including analyzing city parking space availability and optimizing parcel delivery logistics.

Other speakers will reference examples of integrating predictive analytics APIs in real estate, e-commerce, SaaS, and marketing.

“What I see is a lot of people working on proofs of concept, so they are trying to figure out which problems they can tackle with ML tech and are not ready to put things into production,” says Dorard. His hope is that the PAPIs Connect event will enable businesses beyond the Microsofts and Amazons of the world to make use of machine learning. “It is the right time for many companies, not just tech companies,” says Dorard.

A follow-up Conference will be held August 6th through August 7th in Sydney, Australia.

Be sure to read the next Predictions article: Daily API RoundUp: w3af, Qlik, Neura, Onename, Uber Libraries


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