Once it was just a buzzword, but Industry 4.0 has become reality: smart factories are filled with smart devices, smart tools, and smart robots. Not only the manufacturing sector is transformed by digitalization and datafication, but there is also Logistics 4.0, Energy 4.0, Mobility 4.0 and more. At the core of this technology is data and analytics, especially machine & deep learning. The corona crisis – disrupting supply chains, nixing demand forecasts and production plans, and completely changing the mobility behaviour of billions of people – showed us why predictive analytics is so important for the economy: we need to adapt faster and become more efficient. At the upcoming Predictive Analytics World for Industry 4.0, October 2022 in Berlin, you will learn how companies successfully applied machine & deep learning for production, supply chain management, energy supply, and many more application areas. Besides two days of case study presentations there will be two days of deep dive sessions exploring in deep detail how to solve the major challenges. Meet the experts and exchange knowledge with them!
- Predictive & Prescriptive Maintenance
- Object & Action Recognition
- Visual Inspection & Damage Detection
- Capacity Prediction & Optimization
- Demand Forecasting & Predictive Inventory
- Route & Stock Optimization
- Autonomous Driving & Flying
- Anomaly Detection & Root Cause Analysis
- Fault Prediction & Failure Detection
- Risk Prediction & Prevention
- Energy Consumption & Generation Prediction
- Leakage Localization
- Traffic Forecasting
- … and many more!
Attend Predictive Analytics World for Industry 4.0 and witness today’s rapidly emerging movement to fortify Industry 4.0 with big data’s biggest win: the power to predict (e.g. failures, load, demand & more). The premier cross-vendor networking event, this conference assembles the industry’s leaders to deliver case studies and expertise, revealing how predictive analytics:
- Improves overall equipment efficiency (OEE)
- Increases production and process effectiveness
- Reduces maintenance downtimes & unplanned outages
- Minimizes inventory, transportation & energy costs
- Creates new revenue sources through data-driven business models
- Machine ~, Ensemble ~ & Deep Learning
- Transfer ~, Reinforcement ~ & One-Shot-Learning
- Internet of Things & Smart Devices
- Data, Stream, Text, Process & Network Mining
- Open & Earth Observation Data
- Edge Analytics & Federated Learning
- Blockchain & Cryptography
- AutoML & Augmented Intelligence
- Digital Twins & Simulations
- High Performance Computing
- … and more!
Who should attend
Predictive Analytics World for Industry 4.0. provides unique learning and networking opportunities. Attendees come from industries such as:
- Manufacturing & Production
- Logistics & Supply Chain
- Automotive & Mobility
- Aviation & Astronautics
- Mechanical & Tool Engineering
- Telecommunication & Information Technology
- Healthcare & Pharmacy
- Outdoor & Indoor Farming
- … and related.
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 4.0 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.
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