ESTREL HOTEL BERLIN
NOVEMBER 13-14, 2018

FROM PREDICTION TO DECISION

Agenda 2018

Predictive Analytics World Berlin
November 13-14, 2018, Estrel Hotel Berlin


Predictive Analytics World for Business - Berlin - Day 1 - Tuesday, 13th November 2018

8:00 am
Registration
9:00 am
Room: Estrelsaal A
Sessions are held in English.
EXPO+
Keynote:

Organizations across the globe ramp up Data Science teams and invest tremendous amounts in ambitious development initiatives. Hardly any CEO left who is not into developing a data driven organization or – even better – activating AI to become a true disruptor. Despite the highly motivated key stakeholders and rapidly growing data assets, many Data Science projects ultimately go wrong. Some of them produce impressive prototypes or MVPs and yet, fail to generate real impact. Data Science development with impact and at scale needs to address the differences between pure software development and development with analytical focus and high invention risk.

Session description
Speaker
Norbert WirthPwC
Director Analytics and Artificial Intelligence
Pricewaterhouse Coopers
9:45 am
Room: Estrelsaal A
Sessions are held in English.
EXPO+
Solution Session:

Forecasting operational KPIs is important for a variety of use cases. Predicting demand to ensure sufficient supply is critical in many businesses - retail and e-commerce product demand forecasts are used to manage inventories, ride sharing companies forecast ride demand to ensure sufficient driver availability in each region, to name a few. Financial and growth forecasts are also critical for businesses who need to constantly ensure that financial goals are met. In this session we will debut Anodot's new operational Forecasting service with a beta customer who will share its results and best practices including

•        Ease of use for dynamic forecast horizons on-demand by business users

•        Superior forecast Quality with automatic model optimization, with full coverage of time series data types and anomalies, and transparent precision rate

•        Real-time Operationalization: Alerts on forecast thresholds and on-demand updates

Session description
Sponsored by
Anodot
Speaker
Ira CohenAnodot
Co Founder, Chief Data Scientist
Anodot
10:15 am
Session Change for Attendees with a Combo-Pass
10:20 am
Room: Estrelsaal A
Sessions are held in German.
Track 1: Data-Driven Marketing, Sales & Service

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speakers
Dr. Sören GröttrupMiles & More
Manager Advanced Analytics
Miles & More
Julia WeberMiles & More
Manager Advanced Analytics
Miles & More
Room: Estrelsaal C1&C2
Sessions are held in English.

AI is everywhere. As analytics professionals we know that the quality of our work depends directly from the quality of the analyzed data. As enterprises mature in building analytics capabilities they also experience difficulties in sclaing scaling analytics & AI use cases. Surveys review further that analytics departments show comparably low productivity and lack in systematic value contribution, as much of the time of data experts is spend on getting the data done instead trurning data into meaning and decisions.

The presentation provides insight from existing corporate programs on how a systematic and strategic approach to data management can look like. It shows the power of deliberate data management practice on analytics and AI, as well as the power large organization can reviel when putting data on the strategic agenda.
Subjects covered are:
- Building Data Management services
- Data Lifecycle Management - where to start
- Disziplinen of Data Governance
- Strategic Meta-Data Management
- Bringing data capabilities into a fragmented organisations
- Data privacy & data security by design

Session description
Speakers
Romina MediciE.ON
Data Manager Advanced Analytics and Data Lab
E.ON
Frank PörschmannDigital Analytics Association Germany e.V.
Deputy Chairman
Digital Analytics Association Germany e.V.
Room: Estrelsaal C5&C6
Sessions are held in English.

Although more data is being gathered at over time, giving an opportunity to model time series dynamics explicitly with statistics or machine learning models, most data science applications ignore these time dependencies. This deep dive will serve a brief tutorial into time series analaysis and forecasting, introducing the typical data properties of real-world time series as well as tools and techniques to explore them, standard statistical techniques in forecasting as well as how to apply machine learning algorithms of neural networks, support vector regression, decision trees and k-nearest neighbours for forecasting, and how to assess their accuracy reliabily.

Session description
Speaker
Prof. Dr. Sven CroneLancaster Research Centre for Forecasting
Director
Lancaster Research Centre for Forecasting
11:10 am
Coffee Break
11:35 am
Room: Estrelsaal A
Sessions are held in German.
Track 1: Data-Driven Marketing, Sales & Service
Part 1

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speaker
Stefan Reiser
Head of Market Research
Messe München
Sessions are held in German.
Part 2

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speakers
Dr. Carolin Kaiser
Senior Researcher
GfK Verein
Rene Schallner
Senior Researcher
GfK Verein
Room: Estrelsaal C1&C2
Sessions are held in English.
Track 2: Deep Dive Data Management & Strategy

The Scout24 Data Landscape Manifesto is the formalization of our opinions on how a successful data-driven company should approach data. In a truly data-driven company, no manager, no salesperson, no engineer and no data scientist can do their job properly without easy access to large amounts of high-quality data. It is Sean's mandate to create a platform that encourages the production of high-quality data and enables engagement with data by all employees. He and his team are opinionated about how all producers and consumers of data need to be active participants in the data platform, to make data-driven decisions and to be responsible for the data they produce. And he built the data platform with 'nudges' that reward data usage that matches his vision for a data-driven company. In this talk, Sean will present the Scout24 Data Landscape Manifesto and will show how the strong opinions it contains enabled him to successfully migrate from a classic centralized data warehouse to a decentralized, scalable, cloud-based data platform at AutoScout24 and ImmobilienScout24 that is core to their analytics and machine learning activities.

Session description
Speaker
Dr. Sean GustafsonScout24
Product Manager
Scout24
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Machine Learning

With all the hype about deep learning and "AI", it is not well publicized that for structured/tabular data widely encountered in business applications it is actually another machine learning algorithm, the gradient boosting machine (GBM) that most often achieves the highest accuracy in supervised learning tasks. In this talk we'll review some of the main GBM implementations available as R and Python packages such as xgboost, h2o, lightgbm etc, we'll discuss some of their main features and characteristics, and we'll see how tuning GBMs and creating ensembles of the best models can achieve fantastic prediction accuracy for many business problems. 

Session description
Speaker
Dr. Szilard Pafka
Chief Scientist
Epoch
12:30 pm
Lunch Break
1:45 pm
Room: Estrelsaal A
Sessions are held in English.
EXPO+
Keynote:

A dataset with M items has 2^M subsets anyone of which may be the one satisfying our objective. With a good data display and interactivity our fantastic pattern-recognition defeats this combinatorial explosion by extracting insights from the visual patterns. This is the core reason for data visualization. With parallel coordinates the search for relations in multivariate data is transformed into a 2-D pattern recognition problem. Together with criteria for good query design, we illustrate this on several real datasets (financial, process control, credit-score, one with hundreds of variables) with stunning results. A geometric classification algorithm yields the classification rule explicitly and visually. The minimal set of variables, features, are found and ordered by their predictive value. A model of a country’s economy reveals sensitivities, impact of constraints, trade-offs and economic sectors unknowingly competing for the same resources. An overview of the methodology provides foundational understanding; learning the patterns corresponding to various multivariate relations. These patterns are robust in the presence of errors and that is good news for the applications. A topology of proximity emerges opening the way for visualization in Big Data.

Session description
Speaker
Dr. Alfred InselbergTel Aviv University
Computer Science and Applied Mathematics Departments
Tel Aviv University
2:45 pm
Session Change for Attendees with a Combo-Pass
2:50 pm
Room: Estrelsaal A
Sessions are held in English.

BOTS is one of the AI Buzzwords du Jour. But what is behind the hype? In this presentation, the major components of a bot will be identified then a practical example will be created using public data and open source software. A highlight will be the use of machine learning combined with various forms of active learning to not only create an initial ontology but then to help make the bot automatically “smarter” over time. The example is done so that it can be shared and extended to a variety of topics.

Session description
Speaker
Phil WintersCIAgenda
Author and Thought Leader
CIAgenda
Room: Estrelsaal C1&C2
Sessions are held in English.

Gartner says 85%+ of big data projects will fail. Your company probably spent millions on a recent analytics/IOT/big data project too. The team wrote or deployed code and software, using “Agile,” cloud, and the latest tech. Somehow though, your data product, SAAS, analytics solution, or digital transformation project isn’t really delivering the business value or UX everyone sought. Better design can deliver better business outcomes and indispensable user experiences, and product managers, analytics practitioners, and business leaders don’t need to be a designer to get started. Attendees also may download the free Designing for Analytics Self-Assessment Guide for non-designers.

Session description
Speaker
Brian O’Neill
Product Designer and UX Consultant
Designing for Analytics
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Machine Learning

Sensitive deviation from regular operational state is hidden in IoT data of industrial plants. Analysis of multidimensional sensor IoT streams quantifies the general health state of the entire system and individual pattern of attrition. The typical path of degradation allows a prognosis of the remaining useful lifetime (RUL) including its quantitative precision. Reliable temporal expectation helps operational planning and logistics of maintenance to reduce cost by preventive action. I present the application of Kohonen network (SOM) for representative 2D visualization, linear models for monitoring consistent operational condition, Kalman or particle filter for linear or non-linear failure modes, respectively.

Session description
Speaker
Dr. Olaf NimzTrivadis
Consultant
Trivadis
3:35 pm
Coffee Break
4:00 pm
Room: Estrelsaal A
Sessions are held in English.
Track 1: Data-Driven Marketing, Sales & Service
Part 1

Modern organizations are overwhelmingly becoming convinced that data can be successfully turned into better decision making that will directly result into higher profits and lower costs. At Lidl, we believe that data products are the key ingredient that can either automate or supplement business processes. Ability to give internal decision makers an opportunity to explore not only the landscape of their business with descriptive analytics but also to allow them to uncover hidden patterns and dig deeper into soil using prescriptive analytics is becoming increasingly popular among different organizations. At Lidl we turn data into products and provide our internal customers with business insights at scale. Come to learn how we started from zero and turned into data heroes!

Session description
Speaker
Dr. Andrey SharapovLidl
Data Scientist
Lidl
Sessions are held in English.
Part 2
The Session Description will be available shortly.
Session description
Speakers
Daniel TröndleMARKANT Gruppe
Data Scientist
Markant
Dr. Sebastian WernickeOne Logic
Chief Data Scientist
One Logic
Room: Estrelsaal C1&C2
Sessions are held in English.
Track 2: Deep Dive Session Data Management & Strategy

During 2017, Tom worked with data from Smart TV, Set-top-boxes, Connected cards, and medicines. What strikes him is that although the applications of the data are very different, the processes we use are very similar. The business problems are also similar: convincing people that imperfect census level datasets are more accurate than historical market research approaches.

With interesting, and sometimes amusing, examples from the three sectors, Tom will talk through the similarities and differences of the datasets and how the consistent using of pragmatic data cleansing, Bayesian segmentation, and representative modelling can lead to acceptance of new datasets.

Session description
Speaker
Tom Weiss
CTO and Chief Data Scientist
Dativa
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Session Machine Learning

While analyzing structured data (even tremendous amounts of it) is a solved mystery nowadays, retrieving actionable insights from unstructured data (i.e. text) is the new challenge to be met. This talk even goes one step further and places this challenge in a streaming data setting. A reference architecture that works across industries will be shown to illustrate how to process text immediately after being written, how to analyze it, how to gather its meaning, and eventually visualize the results to provide actionable insights. This architecture will be composed of several open source projects. When combined, these tools are capable of accomplishing this ambitious task of analyzing streaming unstructured data. The talk will be completed by a live demo that showcases how real-life customer reviews can be processed in real-time to do sentiment analysis on unstructured data and display the results on a dashboard to provide actionable insights.

The demo and the reference architecture are mainly based on the following open source components which are widely regarded standards in their corresponding field of application: Beats, Elasticsearch, Logstash, Kibana, Spark, Kafka.

Session description
Speaker
Daniel WrigleySHI
Senior Consultant Search & Analytics
SHI GmbH
5:00 pm
Session Change for Attendees with a Combo-Pass
5:05 pm
Room: Estrelsaal A
Sessions are held in German.
Track 1: Data-Driven Marketing, Sales & Service
Part 1

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speakers
Ralf Jäger
Vice President Customer Analytics
Unitymedia NRW GmbH
Oliver James
Senior Data Scientist
Unitymedia NRW
Sessions are held in German.
Part 2

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speaker
Dr. Jonathan MallNeuro Flash
Founder & CEO
Neuro Flash
Room: Estrelsaal C1&C2
Sessions are held in English.
Track 2: Deep Dive Session Data Management & Strategy

If a company wants to be data driven, it has to leverage data as a strategic asset. Precisely, it has to come up with a clear vision around the data itself - who owns it, what it means, how it should be managed, how it can be monetised and how to deliver data-driven growth and innovation that matters. And there has to be an evangelist, who makes noise about it and fosters a culture of data sharing and the importance of data quality. This talk outlines how to implement a holistic data strategy that serves the needs of a data driven business.

Session description
Speaker
Georgina Neitzel
Senior Data Scientist
BCG Digital Ventures
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Session Machine Learning

In customer behavior analysis it is very important to understand the which products ate substitute from customer perspective. In general, if two products are related they can be either substituted or complementary. Association rules mining is the main technique to derive complementary product and there are considerable amount of efforts in the literature for it. Substitute rules mining are mostly based on negative association rules and there are two main difficulties in recognizing these rules. Firstly, mining negative association rules are computationally very expensive. Moreover, negative association rules usually generate a lot of redundant rules. In this presentation we introduce an innovative approach to discover substitute product by deriving the similarities of products based on corresponding association rules. During this deep dive session, we will go through the detail of proposed methodology and its implementation with some real world examples.  

Session description
Speaker
Dr. Amir Meimand
Director of Science, Research and Development
Zilliant
6:05 pm
End of First Conference Day
6:30 pm
Shuttle buses depart
7:00 pm

Evening event:

DDB Networking Lounge

Predictive Analytics World for Business - Berlin - Day 2 - Wednesday, 14th November 2018

8:00 am
Registration
9:10 am
Room: Estrelsaal A
Sessions are held in English.
EXPO+
Keynote:

Data science and machine learning continue their growth in nearly every vertical industry. Python, R, and other open source tools have made the barrier to entry very low, enabling a broad spectrum of analysts to participate in this growth and build production predictive models. However, algorithms have differing strengths and weaknesses depending on the mathematical framework on which they are based.

This talk connects algorithm strengths and weakness with these five parts of the model building process—data cleaning, feature creation, sampling, model interpretation and deployment--and describes why thinking about these matters is critical to building effective models. 

Session description
Speaker
Dean AbbottAbbott Analytics
President
Abbott Analytics
9:55 am
Room: Estrelsaal A
Sessions are held in German.
Solution Session:
The Session Description will be available shortly.
Session description
Sponsored by
b.telligent
10:00 am
Session Change for Attendees with a Combo-Pass
10:05 am
Room: Estrelsaal A
Sessions are held in German.
Track 1: Data-Driven Processes & Products
Part 1

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speaker
Dr. Markus RotterVodafone
Head of Network Analytics
Vodafone
Sessions are held in English.
Part 2

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speakers
Marcelo Boeiraheycar
Senior Backend Engineer
heycar
Jonathan Greveheycar
Machine Learning Engineer
heycar
Room: Estrelsaal C1&C2
Sessions are held in English.
Track: Deep Dive Marketing Analytics

Buzzwords like Predictive Analytics, Big Data, Customer Journey, Customer Centricity etc. are often used in marketing and sales. 

The big question is, how to extract relevant information from the huge amount of data available in order to get an in-depth and holistic understanding of your customer. The key for Predictive Analytics is to use the right methods as well as the right combination of methods. This session shows how to set-up a holistic customer value management system by the use of Predictive Analytics. The system consists of four-dimensional strategic customer segmentation which interacts with the operative marketing and sales management. The approach allows anchoring customer centricity as well as long-term maximization of customer equity. 
All methods and techniques of supervised and unsupervised learning as well as the interplay between the methods will be shown in detail.

Session description
Speaker
Prof. Dr. Klaus Thiel
Professor für Mathematik, insb. Wirtschaftsmathematik, Statistik und Marktforschung
Westfälischen Hochschule, Campus Bocholt
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Deep Learning

The vision of Artificial Intelligence was formulated 1955 but the mathematics and computing power of this time was far away from practical applications. A major step forward in the second half of the eighties was the insight in the learning of neural networks from data for regression and classification. In the following years this could be successfully extended to the analysis of dynamical systems and image recognition. Data analytics fits perfectly to the above formulation because it focuses on the use of observations instead of engineering knowledge for system identification and optimal action planning. Forecasting is an important application field: it’s a challenging task and it is the basis for rational decision making. This learning from data is sometimes so successful, that some people are in fear that Artificial Intelligence will beat Human Intelligence in the future. The speaker does not share this view and we will discuss counter arguments.

Session description
Speaker
Dr. Hans-Georg ZimmermannFraunhoder IIS
Senior Research Scientist
Fraunhofer Gesellschaft
11:00 am
Coffee Break
11:30 am
Room: Estrelsaal A
Sessions are held in German.
Track 1: Data-Driven Processes & Products
Part 1

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speaker
Dr. Marcel Spehr
Senior Data Scientist
T-Systems International
Sessions are held in German.
Part 2

This session will be held in German. If you wish to see the German session description, kindly switch to the German version of the website by clicking on the German flag in the upper right hand corner.

Session description
Speaker
Dr. Stefan Schulte
Planet Home Group
Room: Estrelsaal C1&C2
Sessions are held in English.
Track 2: Deep Dive Marketing Analytics

How do I estimate the value of marketing channels and how do I allocate budgets correctly? As all static attribution models are based on simplified assumptions missing real data information, this session focuses on data-driven models mapping relevant parameters realistically. This deep dive session demonstrates different approaches such as Markov chains and regression analysis briefly and presents a powerful Shapley game theory approach in detail. It will be shown how different parameters such as chain length and device type can be included and how the results can be used for intelligent channel validation and budget allocation.

Session description
Speaker
Dr. Christoph KaronintelliAd Media
Director Data Science & Project Management
IntelliAd Media
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Deep Learning

Deep Learning currently has its greatest success in areas like image, video and natural language processing. Applications working with strongly structured data (like churn and response modelling or customer lifetime value) are still dominated by ensemble models. Neural networks used to have no really compelling advantages in these areas. Theoretically, so-called dense feed forward networks would have been best suited for these tasks. But this kind of network was so hard to train that its practical utility was very limited.

This deep dive shows how to make dense feed forward networks fit for practical use. We will demonstrate why and how to introduce deep learning to new applications, especially classical marketing problems. For practitioners who have worked with other methods so far, the deep dive serves as a highly accelerated introduction. Deep Learning experts on the other hand may be interested to see how to solve the problem of exploding or vanishing gradients in a reliable way (which is even provably correct!). Code examples in PyTorch will make everything reproducible, and serve as an entry point when you later try these methods on your own data.

Session description
Speaker
Dr. Michael Allgöwerb.telligent
Management Consultant Data Science
b.telligent
12:30 pm
Lunch Break
1:30 pm
Room: Estrelsaal A
Sessions are held in English.
EXPO+
Keynote:

Who gets to call themselves a Data Scientists? An Analytics Professional? Almost every company in the industry has a unique way of defining roles and assigning titles in data analytics related positions. This has resulted in a chaotic market that is confusing to employers, academic and training institutions, recruiters, and candidates. This presentation will share the main outcomes and learnings of a global research study to understand standards on definitions of analytics roles, skill-sets and career paths in the data science industry. Study reaches out to several hundred analytics leaders globally and is managed by an executive committee including academicians and industry leaders.

Session description
Speaker
Dr. Usama Fayyad
Founder
Open Insights
2:10 pm
Session Change for Attendees with a Combo-Pass
2:15 pm
Room: Estrelsaal A
Sessions are held in English.
Track 1: Data-Driven Processes & Products

HP Inc's Supplies Organization have been exploring & piloting predictive forecasting as part of an overall system convergence towards Industry 4.0. This presentation will share how HP’s integration of predictive forecasting algorithm within overall system automation architecture drove productivity through better predictability, optimization and reduced human touch processes. It will also share how employee upskilling and ‘Small IT’ approach was critical to our rapid progress.

I am sharing a journey my organization took to transform into the future. Turning challenges of complexity and work load into opportunities with early success implemented. This approach look not just a technical solutions but a holistic approach with process, tool, IT and people.

Session description
Speaker
Imam WidjajaHewlett-Packard
Director of Business Operations / Global Supply Chain and Post Factory Operations
Hewlett Packard
Room: Estrelsaal C1&C2
Sessions are held in English.
Track 2: Deep Dive Marketing Analytics

Networks are powerful data structures for understanding many important phenomena but they have required programming skills to use effectively. New software for simplifying the process of getting network data sets, storing and analyzing them, and visualizing and reporting on them is now available. If you can make a pie chart, you can now make a network chart. In this Deep Dive, get a hands on step by step guide to network analysis. We will use live social media data related to the topics that matter to you to demonstrate the ways network methods quickly bring social media (and more) into focus. Participants will receive a free trial license to NodeXL Pro.

Session description
Speakers
Harald MeierDigital Space Lab
Network Analyst
Digital Space Lab
Dr. Marc Smith
Chief Social Scientist
Social Media Research Foundation
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Deep Learning

Automatically understanding text is a challenging problem and at its core often builds upon a process called Named Entity Recognition (NER). Prominent examples of NER are extracting all locations or persons present in a text. 
In this session we will give an overview of the development of NER systems from conditional random fields towards their modern DL variants. Combing recurrent neural networks with pre-trained word embeddings (word2vec, fastText) boosts the performance of NER systems to be useful for many industry applications.
Labeled data needed for training these DL systems are often not available within niche applications like detecting chemicals or company specific products. Addressing this, we will introduce Snorkel, an open source framework for weak supervision developed at Stanford.

Session description
Speaker
Malte Pietsch
Co-Founder
deepset
3:00 pm
Coffee Break
3:30 pm
Room: Estrelsaal A
Sessions are held in English.
Part 1
Track 1: Data-Driven Processes & Products

Digital, object-orientied Piping and Instrumentation Diagrams (P&ID) are the backbone of every process plant documentation. But the digitization of P&ID´s is costly both in terms of time and money. Bilfinger aims to automate this process with PIDGraph. PIDGraph reads P&ID´s, for example, as an image file and subsequently disassembles it into nodes and edges. Neural networks trained to pattern recognition identify the symbols that are used and put together an overall image of the diagram. PIDGraph also remembers corrections made by the user and adapts its recognition accordingly. Errors can thus be minimized quickly. Where it was previously necessary to re-create the P&IDs manually, PIDGraph can work with the existing material as a basis, leading to a cost reduction of at least 50 percent.

Session description
Speaker
Martin BergmannBilfinger Digital Next
Product Manager
Bilfinger Digital Next
Sessions are held in English.
Part 2
The Session Description will be available shortly.
Session description
Speaker
Philipp SchlunderRapidMiner
Data Scientist
RapidMiner
Room: Estrelsaal C1&C2
Sessions are held in English.
Track 2: Deep Dive Marketing Analytics

Using a target behavioral customer survey and internal customer records, we leveraged latent class analysis to create an observation-level behavioral customer segmentation model. As part of the initial validation process, and to confirm the model’s predictive power, we analyzed the data’s explanatory value by comparing its Marchenko–Pastur distribution to artificially-generated baseline data. In addition, we leveraged NLP to explain the model’s principal components to make the results accessible to a non-technical audience. Using cloud resources (e.g., EC2 GPU clusters), and open-source frameworks (e.g.., Google Tensorflow), we trained, and eventually extrapolated the model to a 5m+ customer base.

Session description
Speaker
Daniel Hellwig
Head of Digital
Kepler Canon
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Deep Learning

The rise of AI products has enabled new attack surfaces for malicious actors, therefore both data practitioners and leaders must not just see AI’s benefits for the customer, but take care to secure their AI product from attacks. For example, an auto-complete trained on customer’s texts could learn a customer’s bank details, letting an attacker trick the AI into revealing that personal information. I will give high level examples of common attacks on AIs (training data extraction, data poisoning, adversarial examples…), discuss defense strategies and will conclude by comparing and contrasting AI security with other fields of Computer Security.

Session description
Speaker
Calvin SewardZalando
Research Scientist
Zalando SE
4:30 pm
Session Change for Attendees with a Combo-Pass
4:35 pm
Room: Estrelsaal A
Sessions are held in German.
Track 1: Featured Session

Digitalisierung und Achtsamkeit sind zwei Trends, die unsere Gesellschaft und unsere Unternehmen beeinflussen. Im Rahmen der Digitalisierung und insbesondere mit der zunehmenden Nutzung von Daten, erzielen wir seit vielen Jahren große Fortschritte. Der Achtsamkeitstrend hingegen ist in den Unternehmen heute noch kaum spürbar. Dabei gibt es mittlerweile zahlreiche empirische Belege für die positiven Effekte eines achtsamen Arbeitsalltags und es wird Zeit, auch diesen Hebel zur Optimierung unseres digitalisierten Geschäfts zu nutzen.
In dem Vortrag werden grundlegende Konzepte der Achtsamkeit und Möglichkeiten zu deren Integration in den Arbeitsalltag gezeigt. Im Detail wird das Achtsamkeitsprinzip des „Nicht Bewertens“ mit Blick auf „Predictive Analytics“ analysiert. Außerdem werden die positiven Wirkungen der Achtsamkeit auf unsere täglichen und ganz praktischen Probleme der zunehmend datengetriebene Unternehmenskultur aufgezeigt.

Session description
Speaker
Dr. Andreas StadieYello Strom GmbH
Yello Strom GmbH
Room: Estrelsaal C1&C2
Sessions are held in English.
Track 2: Deep Dive Marketing & Analytics

In this talk a data scientist and a data engineer will show how working together enables them to solve their stakeholders’ problems. They examine an approach for value-based customer segmentation in the very early stages of a customer relationship along the steps of a typical CRISP-DM cycle. 

Bringing such a scientific models into real-world scenarios often creates more problems that it set out to solve. Dealing with the typical data scarcity and quality is one challenge. But it can be just as difficult to turn proof-of-concept-type models into real production workloads. In sum, this deep-dive session provides a real use-case as well as tips, tricks for implementing a data-driven customer model, and gives a view into the collaboration between data science and engineering.

Session description
Speakers
Dr. Tim HasenpuschTrakken Web Services GmbH
Data Scientist
Trakken Web Services
Dr. Christian PrahlTrakken Web Services GmbH
Technical Consultant
Trakken Web Services
Room: Estrelsaal C5&C6
Sessions are held in English.
Track 3: Deep Dive Deep Learning

Denis will present the structure of a neural network (NN) that is capable of generating poems. Neural networks are the technology standing behind deep learning, which is part of the machine learning discipline. The main value of this article is not to present you with the best possible artificially generated poems, or the most advanced state of the art NN architecture for generating poems, but rather presenting a relatively simple structure that performs surprisingly well in a quite complicated natural language processing (NLP) task.

Session description
Speaker
Denis Krivitski
CTO
Avoncourt Partners
5:15 pm
End of Predictive Analytics World for Business Berlin 2018
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