Confirmed Sessions
November 18-19, 2019 - Berlin

October 22, 2019
Behind the Buzzword: Understanding Customer Data Platforms in the Light of Predictive Analytics

Speakers:

David Raab

Speakers:

David Raab

Behind the Buzzword: Understanding Customer Data Platforms in the Light of Predictive Analytics

date:

October 22, 2019

Time:

11:43 pm

Track:

Room:

Estrelsaal A

Summary:

Customer Data Platform (CDP) systems are the newest answer to an old question: how to assemble a complete view of each customer. This session explores the reality of what CDPs can and cannot do, how CDPs differ from other systems, the types of CDP systems available, and how to find the right CDP for your purpose, especially with regard to data science projects and predictive modeling. You will come away with a clear understanding of where CDP fits into the larger data management landscape, what distinguishes CDP from older approaches to customer data management, and the state of the CDP industry in Europe.  

October 22, 2019
Improving Forecasts of Machine Learning Algorithms by the Maximum Entropy Approach

Improving Forecasts of Machine Learning Algorithms by the Maximum Entropy Approach

date:

October 22, 2019

Time:

11:43 pm

Room:

Estrelsaal C5 & C6

Summary:

Machine learning algorithms for time series forecasting have become increasingly powerful in recent decades. Nevertheless, not only the quality of the forecasts is important, but also their acceptance by the staff. Especially with regard to automatic forecasts, distrust may arise among dispatchers. Furthermore, long-standing employees often have a detailed overview of customer behavior, market situation and other important factors. Therefore, it makes sense to include this expert knowledge in the predictions of complex algorithms. This can be achieved through the maximum entropy approach, which is discussed in this presentation. The approach is derived in detail and applied to real data.

October 22, 2019
Big Data – Both Building Block and Rocket Fuel

Speakers:

Pim Stouten

Speakers:

Pim Stouten

Big Data – Both Building Block and Rocket Fuel

date:

October 22, 2019

Time:

11:43 pm

Room:

Estrelsaal A

Summary:

Surprisingly, the majority of companies dealing with predictive analytics do not consider the availability of accurate data to be a challenge. However, the lack of relevant and clean data is one of the biggest barriers to successful predictive analytics. Pim Stouten explains how companies can effectively use the vast amount of relevant data. Because only those who understand patterns from the past can predict the future.