Predictive Analytics World – Berlin 2020

Putting predictive analytics into the core of your business:

We are experiencing a Cambrian explosion of Data Science: once a niche discipline – now at the core of the most successful enterprises such as Amazon, Tesla, Alibaba and Co. Every major company has launched one or even several AI Labs, Data Offices or Analytics Excellence Centers. Also midsized companies start analytics projects and data initiatives. In every industry we observe an ever-growing number of new innovative use cases of analytics and data. While a few years ago we only talked about the ''data scientist'', today we are looking for data strategists, analytics translators, data engineers, machine learning engineers, data stewards, dataops engineers, data product designers, and countless more specialized roles.
 
Our passion has become a profession and so expectations and standards on us are growing. However, the major challenges are not technical or analytical: depending on the study 60% to 80% of all analytics projects fail! Due to a lack of user acceptance or because they do not bring any economic benefit. It’s our job to improve this performance by “eating our own dog food'': doing data-driven data science, i.e. testing and proving not only model but business performance. The Predictive Analytics World for Business wants to be the platform and starting point for this: in numerous case study sessions you will find out which applications of predictive analytics really create business value; in the deep dive sessions you will learn new methods, tools and approaches for your daily work; and the keynote sessions gives you a new perspective on upcoming trends and important topics. And finally: you will meet many professionals with similar challenges and exchange solutions.
 
Predictive Analytics at the Core of the Finance and Insurance Business:

At this year’s conference we start a new format: a specialized track on applied predictive analytics in the finance and insurance industry.

Others Details

Time: 8:00 am - 6:00 pm