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

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

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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.

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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

Dr. Christian Essling 
Director Analytics

BurdaForward GmbH

Lessons Learned from Building a Big Data Infrastructure at BurdaForward

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  • 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?

Paul Hellwig
Head of Data & Analytics
Cornelsen Publishing House GmbH

The Data Science Revolution in a Traditional Company: How Much Acceleration Can We Handle?

Heinz Korten
Senior Expert Media Technology
Telefónica Germany

Enterprise Mobility and Cognitive Computing – Key Trends for Employee Portals and Knowledge Management

Dr. Tobias Bürger
Head of Big Data Platform & Architecture
BMW Group

BMW's Big Data Architecture

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  • Big Data architecture overview
  • Hybridization
  • Selection of Big Data infrastructure options for several scenarios

Alexander Chukovski
Director Data Services
Experteer GmbH

Advanced Analytics Application in the Recruiting Business

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Advanced Analytics Application in the Recruiting Business
  • Machine learning and AI
  • Technologies and organisational structures
  • Results: lower cost and higher productivity

Norbert Kraft
Manager Research & Technology
Nokia Bell Labs

Network Data Intelligence - Big Data Use Cases in the Telco Industry

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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

Dr. habil. Robert Hable
Head of Research Big Data Analytics
Deggendorf Institute of Technology

Corporate Big Data Analytics: Strategies, Best Practices and Methods

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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


Christoph Rieder
Head of Process, Application and Infrastructure
Siemens Schweiz AG, Division Rail Systems, Mobility and Logistics

The Role of Data Science and Big Data in Service Management

Dr. Markus Czanta
Director Global Technology Marketing / Business Development
Merck KGaA

Workshop: Big Data - Game Changer in Innovation Management

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Workshop: Big Data – Game Changer in Innovation Management

  • Is it possible to automate innovation management?
  • Global idea scouting
  • Potential data sources
  • Cultural prerequisites

Attendees List (Excerpt)
CompanyRole
CSC InsuranceHead of Operational Auditing
Burda Publishing HouseDirector Analytics
Cornelsen Publishing HouseHead of Data & Analytics
Telefónica GermanySenior Expert Media Technology
Robert Bosch GmbHHead of HR Controlling
BMW GroupHead of Big Data Platform & Architecture
Experteer GmbHDirector Data Services
Nokia Bell LabsManager Research & Technology
WSW Wuppertal Municipal UtilitiesHead CoC Market and Customer Data
Deggendorf Institute of TechnologyHead of Research Big Data Analytics
Siemens Schweiz AG, Division Rail Systems, Mobility and LogisticsHead of Process, Application and Infrastructure
Merck KGaADirector Global Technology Marketing / Business Development
Deutsche Post DHL GroupTeam Lead Data Analytics and Data Lake
Deutsche Telekom AGGroup Head of Internal Control Systems
Credit Suisse Services AGGlobal Head TSS Delivery & Program Management
City of MannheimHead of IT
A1 Telekom Austria AGHead of Business Intelligence

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datamart

Day 1
TimeActivity
8:00Visitor Registration
9:00Opening
9:15Corporate 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
  • 10:00The 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
    10:45Coffee Break
    11:15Networking Session 1
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    11:45Networking Session 2
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    12:15Networking Session 3
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    12.45Networking Session 4
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    13:15Lunch with Networking
    14:15Networking 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

  • one-on-one-meeting
    group meeting
    14:45Networking Session 6
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    15:15Networking Session 7
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    15:45Networking Session 8
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    16:15Coffee Break
    16:45BMW'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
  • 17:30Enterprise Mobility and Cognitive Computing – Key Trends for Employee Portals and Knowledge Management

    Heinz Korten, Senior Expert Media Technology, Telefónica Germany
    18:15Networking Dinner Lounge - Chill Out After an Exciting Day
    Day 2
    TimeActivity
    8:30The Data Science Revolution in a Traditional Company: How Much Acceleration Can We Handle?

    Paul Hellwig, Head of Data & Analytics, Cornelsen Publishing House GmbH
    9:15Advanced 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
  • 10:00Networking Session 9
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    10:30Networking Session 10
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    11:00Coffee Break
    11.30Networking Session 11
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    12:00Networking Session 12
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    12:30Networking Session 13
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    13:00Lunch with Networking
    14:00Network 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
  • 14:45Lessons 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
  • 15:30Wrap-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

    ktc-konigstein

    KTC Königsstein, Ölmühlweg 65, 61462 Königstein, Germany
    Phone: +49 6174 295 0

    Register as Decision Maker

    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.

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

    Register as Solution Partner

    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.

    Company (required):

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    Competencies we plan to present on the dialog:

    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.