We are proud to announce that Dataiku will be joining this year’s edition of Big Data Week as Influencer Sponsor. More than 100 customers in industries such as e-commerce, industrial factories, finance, insurance, healthcare, or pharmaceuticals use Dataiku DSS daily to collaboratively build predictive dataflows to detect fraud, reduce churn, optimize internal logistics, predict future maintenance issues, and more.... Read More
11
Aug
The impact of big data in business and the AI revolution, interview with Alex Bordei, Bigstep
This blog post is part of the Big Data Week Speaker interviews series. In this article, Alex Bordei, Head of Product Management at Bigstep, shares his thoughts on the impact of big data in business, the AI revolution and how to manage the Internet of Things. 1. It has become a tradition for Bigstep to be close to BDW, helping us... Read More
Guest post by Finnegan Pierson. Big data takes into account all of the many things that need to be measured or monitored, and many organizations find it hard to manage such massive data. Additionally, the amount of data being captured, replicated, or stored is way too high, and measures should be in place to ensure that... Read More
This blog post is part of the Big Data Week Speaker interviews series. In this article, Matthias Schorer, Leader Business Development Manager, IoT at VMware, shares his thoughts on the impact of big data in business, the AI revolution and how to manage the Internet of Things. There’s a lot of improvement to be expected from a city going... Read More
This blog post is part of the Big Data Week Speaker interviews series. In this article, Dagmara Lacka, Boldmind Founder & CEO, shares her thoughts on the positive changes advancements in IoT and big data are bringing to the modern society and about Pepper robots. What inspires you to innovate at Boldmind? I see advancements in IoT and... Read More
White Paper: Data Science Tools – What Are They, And Why Do Data Teams Need Them? Open The Door To Scalability & Efficiency To scale, data teams need staff, structure, efficiency, automation, and a deployment strategy; data science tools facilitate these requirements. But on top of scalability, providing tools for your data team allows them... Read More