For background on Cosmo, Chief Destiny Officer, and his alternative methods, read the earlier posts in this series about The role of a CDO and Customer Segmentation. Predicting the future always sounds a little magical, but we were intrigued to meet a CDO who says he actually makes business forecasts using magic instead of modeling. While at Talend we work exclusively with healthy data, we’ve always wondered what goes on at organizations that don’t rely on data for business decisions.
A favorite moment of mine is when I get to share Qlik’s vision for Active Intelligence with a customer for the first time. It usually goes like this: genuine excitement about the possibility – taking informed action in the moment from real-time data…invariably followed by many questions – where do I begin? What do I need? What about the tech stack I have already acquired?
“You’re crazy if you don’t start in the cloud; you’re crazy if you stay on it,” quips a recent blog post from Andreessen Horowitz. Many companies are surprised by cloud bills that have shot past their expectations. Indeed, IDC predicts increased investment in public cloud cost management through 2022 as enterprises seek to cut cloud waste by 50%. This is the Cloud Cost Paradox.
Fivetran has closed its acquisition of HVR. CEOs George Fraser and Anthony Brooks-Williams explain how it happened and what it means for customers.
Our recent blog discussed the four paths to get from legacy platforms to CDP Private Cloud Base. In this blog and accompanying video, we will deep dive into the mechanics of running an in-place upgrade from CDH5 or CDH6 to CDP Private Cloud Base. The overall upgrade follows a seven-step process illustrated below. In the video below we walk through a complete end to end upgrade of CDH to CDP Private Cloud Base.
Real-time feature engineering is valuable for a variety of use cases, from service personalization to trade optimization to operational efficiency. It can also be helpful for risk mitigation through fraud prediction, by enabling data scientists and ML engineers to harness real-time data, perform complex calculations in real time and make fast decisions based on fresh data, for example to predict credit card fraud before it occurs.