VP Engineering at Dataiku
As a truly passionate software engineer, Arnaud feels grateful that he has been able to spend the past 20 years working on the topic that always interested him the most: building software. Being a VP Engineering at Dataiku (the world’s leading AI and machine learning platform), Arnaud leads the teams that work on the core of Dataiku DSS.
As a self-taught developer, Arnaud started programming in assembly language and C, developing games. He began his professional career in California, working on the birth of the Microsoft .NET platform. Nowadays, if he's not in a team meeting, grooming some backlog, reviewing a new feature, or writing specifications, he's certainly frantically typing in IntelliJ to develop a new DSS feature.
"What do you mean, you’re not a SaaS company? I don’t get it.”
It’s not too much to say that the world moved to SaaS, or at least software companies did. It would make no sense today to create an “on-premises” startup for technical or business purposes.
Despite this transition, we cannot deny that the “on-premises” is still alive and forecasted to stay. Moving to SaaS can be a tough decision for large companies, especially for technical, security, and political reasons. Naturally, these same reasons represent a great opportunity for “on-premises” startups.
Of course, there are good reasons for moving to SaaS, which means it can be very challenging if you decide not to. However, this is what Dataiku did.
During this talk, we will discuss the reasons why software companies can choose “on-premises” deployment, how they can deploy it, what obstacles they may face, and how Dataiku tackled these challenges.
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