Pharma Big Data Innovation Conference

Pharma Big Data Innovation Conference (PBDIC) 2017 is the strategic opportunity knocking at the doors of Life-sciences industry, and the advantages of this may soon be caught by all partners and society. Catching, putting away, keeping up information stream, organizing untidy information, and enhancing the examination of data rich procedures can offer profound experiences for life science specialists, especially the revelation, clinical and late-stages.

Big Data and Analytics for Pharma has developed into the largest amount, and with the passage of time enormous data and investigations are a necessary piece of basic medical movements and being out of the lab or office can be a burden. It’s for this very reason you have to stay informed concerning the business’ most recent improvement and developments — and this conference bring you right up to date. Need to Know Basis? We cover the subjects that matter most to today’s pharmaceutical and biotech leaders and afterward finish everything off with a healthy dosage of imagination upgrading motivation and inventive activity focuses.

Pharma Big Data Innovation Conference (PBDIC) 2017 is a must go event in Pharmaceutical and health sector industry. This means impactful networking opportunities for our participants, in addition to valuable substance that can be taken back to the workplace or lab and executed for the future, Great Chances for Networking Big Data & analytics leaders working in the leading pharmaceutical and biotech Companies descending on Berlin for the event, this meeting gives unparalleled networking chances of both an organized and casual nature.

The Conference covers points that matter the most to today’s big data and analytics leaders working in the pharmaceutical business. Hear the creative arrangements from the best names in biotech and Pharma. The most compelling speakers fly in from around the globe to show their aptitude!


Workshop 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 & Advanced Analytics : Revolutionizing Marketing and sales in Pharma Industry

Anne-Toni Rodgers
Global Head Operations Payer & Real World Evidence

09:30 – 10:00

Presentation 2: RWE & Lifecycle Management: It Starts With a Question….

Nigel Hughes
Scientific Director

10:00 – 10:30

Presentation 3: Case Study – Cloud-based Modelling and Simulation of Virtual Patients in Clinical Science

Jobst Löffler
IT Project Manager R & D

10:30 – 11:30

Networking Coffee Break

11:30 – 12:00

Presentation 4: Collection of Citizen/Patient Data

John Peter Mary Wubbe
Secretary General

12:00 – 12:30

Presentation 5: Good Data or Bad Data: Pharma Big data usability and its role in R&D innovations

12:30 – 13:00

Presentation 6: Smart Data Analytics in Pharma Innovation, R&D and Manufacturing

Julian Morris
Technical Director

13:00 – 13:30

Presentation 7: Using Secondary Data for Clinical Trails: Overcoming Challenges While Combining Clinical and Specimen derived molecular data

Omoseebi Issac
Data Management Lead

13:30 – 14:30

Networking Lunch & Exhibition

14:30 – 15:00

Presentation 8: Practical Approach to Big Data Quality Issue in Pharma Industry

Lawrence Wee
Chief Data Scientist

15:00 – 15:30

Presentation 9: Rising of Big Data: Understanding Cost Effectiveness of Advanced Analytics for Drug Discovery and Development

15:30 – 16:00

Presentation 10: Importance of understanding smart data analytics in Pharma for accurate decision making

Modest von Korff
Chief Data Scientist

16:00 – 17:00

Networking Coffee Break

17:00 – 17:30

Panel Discussion: Creating A Roadmap for Pharma Digital Transformation through Artificial Intelligence Smart analytics and Advanced maching Learning

Chairman Closing Remarks & End of Day 2

Attendee Breakdown


  • 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
  • Clinical trials & Real world data operations
  • Future oriented modeling of data

Job Title Analysis

VPs, Directors, Managers and Heads of:

  • R&D
  • Translational Sciences & informatics
  • Analytics
  • Data Management, Operations
  • Artificial intelligence
  • Real-World Data
  • External Innovation
  • Bioinformatics
  • External Innovation
  • Clinical IT
  • Enterprise Architecture & Technologies
  • IT Systems

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Contact Info