Predictive Analytics World
Estrel Hotel Berlin, 16.-17. November 2020

The premier machine learning conference


Guiding Theme 2019

From Data Lab to Data Ops

The time for experimentation is over. Companies expect their data labs to deliver what the AI hype has promised them: more customers, higher revenues, more efficient processes and much more. But many projects are stuck in the PoC trap: they work as prototypes – but not in real operation. Data science must become a data industry: we ourselves must learn to become more efficient and effective – by identifying the really critical challenges in the company, developing the appropriate solution ideas, translating the ideas quickly into functioning models, developing scalable solutions from the models and finally ensuring that these solutions are used profitably by the specialist departments. This requires a new self-image: we are not the experimental laboratory of the companies – but their machine room: Data Ops instead of Data Labs.

Focal points & industries are:

  • Data Engineering & Model Management
    • Data Lakes & Pipelines
    • Data & Software Architecture
    • Model Automation & Evaluation
    • Feature Engineering & Management
    • Microservices & Data/Model-as-a-Service
  • Data Management & Strategy
    • Data & Design Thinking
    • Customer Data Platforms & Data Management Platforms
    • Data Labs vs. Data Ops
    • Data Culture & Literacy
    • Meta Data & Data Quality Management
    • Data Sourcing & Governance
  • Machine & Deep Learning
    • Data, Text, Stream, Process & Network Mining
    • Times Series Models
    • Bayesian Learning
    • Ensemble Learning
    • Transfer Learning
    • Reinforcement Learning
    • RNN, CNN & GAN
    • Markov-Ketten & Monte-Carlo-Simulationen
  • Marketing & Sales
    • Marketing Mix Modelling
    • Predictive Lead Scoring
    • Customer Lifetime Value
    • Affinity Scoring
    • Churn Prevention
    • Chat Bots
  • Advanced Marketing & Sales Analytics
    • Dynamic & Multitouch Attribution
    • Marketing Mix Modelling
    • Churn Prediction & Prevention
    • Customer Lifetime Value
    • Lead & Affinity Scoring
    • Customer Segmentation vs. Persona
    • Demand & Revenue Forecast
    • Response & Uplift Modelling
    • Recommender Systems
  • Marketing & Sales
    • Marketing Mix Modelling
    • Predictive Lead Scoring
    • Customer Lifetime Value
    • Affinity Scoring
    • Churn Prevention
    • Chat Bots
  • E-Commerce & Online-Marketing
    • Dynamic Attribution
    • Dynamic Pricing
    • Dynamic Couponing
    • Bid Optimization
    • Website Personalization
  • Supply Chain & Process Optimization
    • Demand Forecast
    • Inventory Optimization
    • Route Optimization
    • Process Mining
  • Finance & Insurance
    • Risk Scoring
    • Fraud Detection
    • Anomaly Detection
    • Visual Inspection
    • Robo Advisory
  • HR & E-Learning
    • Churn Prediction
    • Applicant Scoring
    • Intelligent Assistants

Predictive Analytics World in numbers






Total Events








What do our attendees say?


Estrel Berlin

Sonnenallee 225,
12057 Berlin,




+49 (0) 3068310


Predictive Analytics World Business Berlin

Estrel, Sonnenallee, Berlin, Deutschland

Estrel Berlin

Need more information?

  • What is predictive analytics?

    Predictive analytics optimizes marketing campaigns and website behavior to increase customer responses, conversions and clicks, and to decrease churn. Each customer’s predictive score informs actions to be taken with that customer — business intelligence just doesn’t get more actionable than that.

    Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model which has, in turn, been trained over your data, learning from the experience of your organization.

  • Is predictive analytics different from forecasting?

    Predictive Analytics World London often include select sessions on forecasting since it is a closely related area, and, in some cases, predictive analytics is used as a component to build a forecast model.
    However, Predictive analytics is something else entirely, going beyond standard forecasting by producing a predictive score for each customer or other organizational element. In contrast, forecasting provides overall aggregate estimates, such as the total number of purchases next quarter. For example, forecasting might estimate the total number of ice cream cones to be purchased in a certain region, while predictive analytics tells you which individual customers are likely to buy an ice cream cone.

  • Is this a “machine learning” conference?

    Yes. Predictive analytics means the commercial deployment of machine learning (the two terms are often used synonymously). Although the term “machine learning” used to be common only within the walls of research labs, it’s now also used more and more in the context of commercial deployment. Whichever term you prefer, we are discussing technology that learns from data to predict or infer an unknown, including decision trees, logistic regression, neural networks, and many other methods.

  • Is this a “data mining” conference?

    Yes. Data mining is often used synonymously with predictive analytics, and, in any case, predictive analytics is a type of data mining.

  • Is this a “data science” conference?

    Yes. Predictive analytics is a form of data science. Moreover, it is the most actionable form. A predictive model generates a predictive score for each individual, which in turn directly informs decisions for that individual, e.g., whether to contact, extend a retention offer, approve for credit, investigate for fraud, or apply a certain medical treatment. Rather than solely providing insights, predictive analytics directly drives or informs millions of operational decisions.

  • Is this a “big data” conference?

    Yes. Predictive analytics is a key method to truly leverage big data. At the center of the big data revolution is prediction. The whole point of data is to learn from it to predict. What is the value, the function, the purpose? Predictions drive and render more effective the millions of organizational operational decisions taken every day.

  • Is this an AI conference?

    Yes. Artificial intelligence (AI) is a broad, subjective term with many possible definitions—but by any definition, it always includes machine learning (predictive modeling) as an example of AI technology/capabilities.

  • Is Predictive Analytics World run by a software vendor?

    No. Predictive Analytics World provides a balanced view of predictive analytics methods and tools across software vendors and solution providers.

  • Is Predictive Analytics World a research conference?

    No. Predictive Analytics World is focused on today’s commercial deployment of predictive analytics, rather than academic or R&D activities. Separately, there are a number of research-oriented conferences; in predictive analytics’ commercial application, we are essentially standing on the shoulders of those giants known as researchers.

  • Are you considering new speakers for Predictive Analytics World?

    For speaker information and proposal submissions, click here.

Ready to register?

Reserve your seat for Predictive Analytics World Berlin here!

Zur Anmeldung Contact us


Sign up now to receive news, insights, interviews
and much more about Predictive Analytics World Berlin.

Your advantages:

  • You’ll always be among the first to know when the program is online
  • You’re saving money because we remind you of the price breaks
  • You get to know our speakers even before the conference, because we present a selection of the sessions including speakers


Your disadvantages:

  • NONE, but if you see it differently, you can of course unsubscribe at any time.

How can we help?


Knowledge is everything!
Sign up for our newsletter to receive:

  • an extra 10% off your ticket!
  • insights, interviews, tips, news, and much more about Predictive Analytics World
  • price break reminders