Advanced Analytics Infrastructure Dialog, 4th-5th December 2017

This challenge is not an easy task to master in an environment of many new and innovative vendors, constantly changing management paradigms and hard-to-predict innovations in areas like Big Data, Artificial Intelligence or High Performance Computing.

With very efficient pre-matched one-on-one and group meetings the Advanced Analytics Infrastructure Dialog offers many opportunities to exchange ideas, strategies and experiences with colleagues, consultants and solution experts. Furthermore corporate IT leaders will present their specific strategies and outlooks.

Some Topics for discussion:

Role of Data Science
Role of BI
Database Management
Unstructured Data
Data Architecture
Data Governance
Creating actionable data
Reactive vs proactive approach
Hadoop
Spark
In-Memory Analytics
In-Memory Database Management Systems
No SQL Databases
Data Lakes
Deep Learning / Machine Learning
Artificial Intelligence
Real-Time Analytics
Predictive Analytics
Graph Analysis
Self Service Data Analytics
Event Stream Processing
Model Management
Linked Data
Criterions & Anomalies
Social Intelligence
Text Analytics
Video Analytics
Behavioral Data
Natural Language Processing
Ensemble Learning
Analytics Marketplaces
Data Center Infrastructure
Data Center Management
High Performance Computing
Bandwith Management
Virtualisation Strategy
Data Security

Attendees List (Excerpt)

Company	Role
CSC Insurance	Head of Operational Auditing
Burda Publishing House	Director Analytics
Cornelsen Publishing House	Head of Data & Analytics
Telefónica Germany	Senior Expert Media Technology
Robert Bosch GmbH	Head of HR Controlling
BMW Group	Head of Big Data Platform & Architecture
Experteer GmbH	Director Data Services
Nokia Bell Labs	Manager Research & Technology
WSW Wuppertal Municipal Utilities	Head CoC Market and Customer Data
Deggendorf Institute of Technology	Head of Research Big Data Analytics
Siemens Schweiz AG, Division Rail Systems, Mobility and Logistics	Head of Process, Application and Infrastructure
Merck KGaA	Director Global Technology Marketing / Business Development
Deutsche Post DHL Group	Team Lead Data Analytics and Data Lake
Deutsche Telekom AG	Group Head of Internal Control Systems
Credit Suisse Services AG	Global Head TSS Delivery & Program Management
City of Mannheim	Head of IT
A1 Telekom Austria AG	Head of Business Intelligence

Day 1

Time	Activity
8:00	Visitor Registration
9:00	Opening
9:15	Corporate Big Data Analytics: Strategies, Best Practices and Methods Strategies for successful implementations of data analytics projects in large companies Case studies Types of data analysis problems, typical challenges and analytics methods Dr. habil. Robert Hable, Head of Research Big Data Analytics, Deggendorf Institute of Technology
10:00	The Role of Data Science and Big Data in Service Management Christoph Rieder, Head of Process, Application and Infrastructure, Siemens Schweiz AG, Division Rail Systems, Mobility and Logistics
10:45	Coffee Break
11:15	Networking Session 1 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:45	Networking Session 2 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:15	Networking Session 3 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12.45	Networking Session 4 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
13:15	Lunch with Networking
14:15	Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle (until 15:15): Big Data - Game Changer in Innovation Management Is it possible to automate innovation management? Global idea scouting Potential data sources Cultural prerequisites Dr. Markus Czanta, Director Global Technology Marketing / Business Development, Merck KGaA
14:45	Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
15:15	Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
15:45	Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:15	Coffee Break
16:45	BMW's Big Data Architecture Big Data architecture overview Hybridization Selection of Big Data infrastructure options for several scenarios Dr. Tobias Bürger, Head of Big Data Platform & Architecture, BMW Group
17:30	Enterprise Mobility and Cognitive Computing – Key Trends for Employee Portals and Knowledge Management Heinz Korten, Senior Expert Media Technology, Telefónica Germany
18:15	Networking Dinner Lounge - Chill Out After an Exciting Day

Day 2

Time	Activity
8:30	The Data Science Revolution in a Traditional Company: How Much Acceleration Can We Handle? Paul Hellwig, Head of Data & Analytics, Cornelsen Publishing House GmbH
9:15	Advanced Analytics Application in the Recruiting Business Machine learning and AI Technologies and organisational structures Results: lower cost and higher productivity Alexander Chukovski, Director Data Services, Experteer GmbH
10:00	Networking Session 9 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
10:30	Networking Session 10 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:00	Coffee Break
11.30	Networking Session 11 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:00	Networking Session 12 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:30	Networking Session 13 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
13:00	Lunch with Networking
14:00	Network Data Intelligence - Big Data Use Cases in the Telco Industry Usage of Big Data, Data Mining and Machine Learning How to gain gain knowledge out of a telco network's data Optimized network operations Increased customer satisfaction Norbert Kraft, Manager Research & Technology, Nokia Bell Labs
14:45	Lessons Learned from Building a Big Data Infrastructure at BurdaForward How and were do we store the raw data? How do we make this data accessible for BI and data science teams? How do our data science models become usable in operative business? Dr. Christian Essling, Director Analytics, BurdaForward GmbH
15:30	Wrap-up and Closing Ceremony

Types Of Projects to be Discussed (Excerpt)

Digitizing sign-off processes

Front end assistants

Bots

Automation of control processes

Data Analytics

Sustainable Advanced Analytics environment

EU compliance (Data protection)

Advanced reporting (R, Predictive, Text Mining)

How to deal with market and customer data

Visualizing analysis

Creating a data landscape for analysis

Building group wide data infrastructure

Data governance for a global player

Data protection and information security in a data lake

Data lake architectures

Meta data management in a data lake like infrastructure

Smart City

You can apply and attend if you are a c-level decision maker and budget owner from a major buying company and want to discuss projects, ideas, solutions and strategies with suppliers and peers in one-on-one and group meetings. Participation is free of charge. Please only apply when you are sure you can make the date. With your registration we start the matching process and other participants will look forward to meeting you. This registration is not for suppliers.

I will attend the dialog.

Both DaysDay 1Day 2

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This registration is only valid if confirmed by Cintona Ltd. by e-mail.

We book the following package:

Premium: 3 representatives, 20 meetings, 10,000 Euro + VATElaborated: 2 representatives, 15 meetings, 8,000 Euro + VATAdvanced: 2 representatives, 10 meetings, 6,000 Euro + VATBasic: 1 representative, 5 meetings, 4,000 Euro + VAT

Please find details on the comprehensive services included in the packages below the booking form.

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By clicking the "Book now" button I accept the terms & conditions stated below:

All solution partner packages include the following services:

Invitation of corporate decision makers who are interested to meet with suppliers to discuss projects.
Matchmaking between the parter’s solutions and the interests and projects of the invited coporate decision makers.
Documentation of individual matching results with opportunities to select meeting partners.
Exclusive space at event venue for confidential one-on-one meetings.
Appointed meetings with pre-qualified decision makers, max. 30 miuntes each, pre-arranged with advanced business matching methods and approved by both sides.
Delegates and project profiles of all decision makers prior to the event.
Full event participation for every person booked.
High standard catering for every person booked.
Presentation of the partner’s solutions in invitation calls, newsletters and on the event website with logo and links to partner web resources.
Invitation of companies and managers named by the partner if desired by the partner and in accordance with the event character.

Terms & Conditions (all we need indeed):

The booking becomes valid when confirmed by Cintelligence.
Cintelligence guarantees for the services stated above.
Payment is due prior to the event after booking, because Cintelligence starts to work for the client immediately after booking (presentation of solutions, research etc.) and needs to pay servcies in advance herself.
Cintelligence is not liable for damages caused by technical malfunctions or force majeure like e.g. acts of God, war, riots, terrorist threats or activities, political constraints or trade disputes.
The regular cancellation fee is 25% of the invoice. In a period starting 4 weeks before the event the fee is 100% of the invocie.
The solution partner bears expenses for damages caused by the partner’s representatives during the event.
Place of jurisdiction shall be Potsdam (close to Berlin), Germany

Business Matching

How it works

Cintelligence was founded by leading experts for networking and business development events.

Our invitation and admissions strategy creates qualified high level experts groups to assure meaningful networking.
As attendee you’ll receive an online questionnaire for your interests and competencies you’d like to share.
Your profile based on the questionnaire will be matched with the profiles of peers and solution partners.
The results of this matchmaking will be documented prior to the event in our online platform, i.e. you’ll see how other members can help you with your challenges or how you can help them.
Results are being sorted by relevance.
Based on these results you can ask for and prioritize meetings or be asked by others within the online platform.
Based on these wishes we’ll propose meeting schedules with individual agendas for you to make the most out of limited time.

According to our experiences self service systems do not work properly for high level business networking since decision makers simply don’t have the time and focus outside their core business. This is why we proactively help our customers to find their meeting partners. Our system guarantees maximum networking results in the most efficient way for decision makers.

Advanced Analytics Infrastructure Dialog, 4th-5th December 2017

Value

Experts

Suppliers

Programme

Projects

Register

When deciding on the infrastructure for Big Data and Smart Analytics applications IT Managers have to consider return on invest, performance and sustainability as well as current and planned business models

This challenge is not an easy task to master in an environment of many new and innovative vendors, constantly changing management paradigms and hard-to-predict innovations in areas like Big Data, Artificial Intelligence or High Performance Computing.

Business Matching