Big Data Excellence Forum

Big Data Excellence Forum is an opportunity for most dynamic professionals in their industries to get engaged in for 2 productive days of experience & knowledge sharing, taking a closer look at best practices and emerging trends and developments across different industries. This senior level industry leaders gathering will take you to the journey of powerful debates, expert discussions, exclusive peer to peer networking and high level insights.
This worldwide big data community At BDEF’17 aims to focus on how to effectively engage and retain consumers as dominant platforms are increasingly reshaping the media landscapes and the challenges organizations will face in this world of Artificial intelligence (AI), Internet of things (IoT), Virtual reality (VR), augmented reality (AR) and many more.
The Best place to hear the Modern Big data Experts and Professionals sharing their first hand experiences on the do’s and don’ts of fully exploiting new trends and emerging technologies to deliver a seamless customer experience
Networking Hours
Attendees
Keynote Speakers
WORKSHOPS & CASE STUDIES

Programmer Day One

08:00 – 08:45

Registration and Itinerary Collection

08:45 – 09:00

Chairman’s Opening Remarks

09:00 – 09:30

Presentation 1:Integrating Big Data and Machine Learning in the cloud for scale, agility, and realtime insightsBig Data Analytics empowering innovation and its implementation in the automotive industry

Robert Kubis
Senior Developer Advocate, Google Cloud Platform

09:30 – 10:00

Presentation 2: Partner Presentation

10:00 – 10:30

Presentation 3: Partner Presentation

10:30 – 11:30

Networking Coffee Break

11:30 – 13:30

Workshop: Integrating Big Data and Machine Learning in the cloud for scale, agility, and realtime insights

Ramshanker Krishnan
Director – Enterprise Services Delivery Data Insights

  • Digital Transformation pillars
  • Building data culture and sustainable analytics capabilities
  • Tailored Solutions for industries
  • Remote Monitoring and predictive maintenance
  • Fraud Analytics
  • Customer Analytics and Next Best Action
  • Student Analytics

13:30 – 14:30

Networking Lunch & Exhibition

14:30 – 16:30

Workshop: Customer Life-cycle management: Understand the customer through big data insights

Hellmar Becker
Solutions Engineer
Georgios Gkekas
Architect in Advanced Analytics

  • Building an enterprise ready security architecture around an open source platform
  • Data Governance – Metadata management as the backbone of a data architecture
  • Cooperation between vendor and banking client to deliver an advanced analytics platform
  • Moving towards a strategic partnership
  • Challenges and requirements of a modern data platform
  • Build a platform that is fluid in all forms of data and analytics
  • Business model of a Hadoop-based data platform (projects, on-boardings, democratization of resources e.t.c.)
  • User experience Data science tools
  • Customer analytics and next best action
  • From prototypical data science models to production

16:30 – 17:00

Presentation 4: Partner Presentation

17:00 – 17:30

Presentation 5: Big Data Analytics empowering innovation and its implementation in the automotive industry

Poli Changdar
Big Data Engineer

17:30 – 18:00

Networking Coffee Break

Chairman Closing Remarks & End of Day 1

Conference Day 2

Programmer Day Two

08:00 – 08:45

Registration and Itinerary Collection

08:45 – 09:00

Chairman’s Welcome Remarks

09:00 – 09:30

Presentation 1: Big Data Analytics empowering innovation and its implementation in the automotive industry

Poli Changdar
Big Data Engineer

09:30 – 10:00

Presentation 2: The promise of Big Data Analytics in Cyber Defense.

Puneet Kukreja
Partner @ Deloitte Cyber | Board Advisor

10:00 – 10:30

Presentation 3: European and Global Initiatives which are driving ICT Standards and in particular the Big Data Reference Architecture (BDRA) Standard

Ray Walshe
Science Foundation Ireland Funded Investigator

10:30 – 11:30

Networking Coffee Break

11:30 – 12:00

Presentation 4: Integrating Big Data and Machine Learning in the cloud for scale, agility, and realtime insights

Robert Kubis
Senior Developer Advocate, Google Cloud Platform

12:00 – 12:30

Presentation 5: Using data to build Category strategies and Channel strategies, together with some of the internal barriers in a big organisation to making these a reality.

Dale Nuttall
Big Data Manager

12:30 – 13:00

Presentation 6: Your Digital Assistant – understanding, qualifying, and satisfying customer needs in the age of Digital Transformation

Moritz Winzig
Solution Specialist for Azure App/IoT

13:00 – 13:30

Presentation 7: Business Use Cases for Big Data & Machine Learning

Paul Brook
EMEA Big Data Analytics Team Lead

13:30 – 14:30

Networking Lunch & Exhibition

14:30 – 15:00

Presentation 8: Customer Life-cycle management: Understand the customer through big data insights

Rocio del Carmen Molina
Marketing & Sale : Data Sciences

15:00 – 15:30

Presentation 9: TBA

Dorota Tomas
Research Manager,Global Markets, CEMA

15:30 – 16:00

Presentation 10: Big Data and Mixed Reality: Data Visualization Challenges streaming

16:00 – 17:00

Networking Coffee Break

17:00 – 17:30

Panel Discussion: The Future of Marketing, Combining Big Data With Human Intution: How marketing Can Use Data to Win Back Users?

Chairman Closing Remarks & End of Day 2

Our Partners

Delegates

Attendee Breakdown

       Region

  • Europe
  • USA
  • Asia

Job Titles

  • Directors,Vp's & C level Executives
  • Manager & Department Heads
  • Others(IT big data professionals)

    Job Functions

  • Investment experts & decision makers
  • Data analysis & visualizations
  • Data handling, quality assurance & data integrity

Job Title Analysis

VPs, Directors, Managers and Heads of:

  • CIO’s and Head of IT
  • Chief Technology Officers
  • CFO’s and Finance Directors
  • Heads of Data Analytics,Modeling and Mining
  • Heads of Marketing
  • System and Business Analyst
  • Customer & Business Intelligence Specialists
  • Market Researchers & Consultants
  • Database Administrators
  • Project Managers
  • Data Architects & Scientists
  • Chief Data Officers
  • Heads of Customer Loyalty
  • Product Marketing Analyst
  • Heads of Customer Insight
  • Heads of Loyalty
  • Heads of E-commerce
  • Heads of Online Experience
  • Social Media Managers
  • Data Scientists
  • Director Marketing Analytics

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Contact Info