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Main Conference Day Two

8:30 AM - 8:50 AM Registration and Coffee

8:50 AM - 9:00 AM Chairman's Opening Remarks

9:00 AM - 9:35 AM Keynote Address: Turning SmartLab Science Fiction into SmartLab Science Fact

  • Determine how mobile data, shared instruments and IoT censoring will future proof your lab
  • Explore digitalisation in the lab and incorporate this in your future strategy for R&
  • Plan for the future in identifying the right technologies whilst remaining compliant

9:35 AM - 10:10 AM Ensuring Software Is Adapted For The Future

  • Evaluate how different instruments and software can integrate with one another efficiently
  • Understand how to avoid updates in the future affecting archived information
  • Debate the different approaches to standardising resources to allow for technology developments

10:10 AM - 10:40 AM Coffee Break

10:40 AM - 11:15 AM Roundtable Discussion: What Really Is The Lab Of The Future And How Can I Prepare For The Lab Automation Revolution?

1. Using technology to blur the physical and digital applications and processes
2. The role of the scientist in a fully automated lab
3. Repurpose and Recycle: Retrieve all the information you need from archived data
4. Compare and Contrast: Internal data quality v External Data Quantit
5. Will Cognitive Computing Release R&D restraints
6. The Importance Of the FAIR Principles For Future Proof Lab Automation

11:15 AM - NaN:NaN AM Informatics Based Approach To Map Your Strategy Towards A Smarter Lab

  • Combine software, algorithmic tools and databases to assist unification of information
  • Determine related, structural and analytical data to allow cross functional access and assist rapid informed decision making
  • Plan for the future in simpler, faster information mapping

12:00 PM - 1:00 PM Lunch

1:00 PM - 1:35 PM A Data Mining & predictive analytics approach: The Most Efficient Use of Data Lakes

  • Definition of a data science strategy in an automated pharmaceutical environment
  • Data normalization strategies in a fast changing biologics environment - across departments
  • Application of Hadoop and predictive analytics on pharmaceutical data

1:35 PM - 2:10 PM Data Integrity: The Holistic Approach

  • Determine how you will be challenged through different regulatory approaches
  • Secure your instruments around the different ELN updates, keeping your information secure
  • Establish how to keep data central with the most efficient and holistic access

2:10 PM - 2:45 PM Panel Discussion: Data Security - Is This the Responsibility of Yourself or Your Solution Provider?

  • Address the discussions surrounding the security of your informatics data
  • Challenge both sides of the coin to see who’s responsibility it is to control data security
  • Ensure you know the right measures to take to ensure your data is safely stored

2:45 PM - 3:15 PM Coffee Break

3:15 PM - 3:50 PM Case Study: Reinvent Data Alignment to Broaden Intercompatibility

  • Focus on how additional systems will still allow enhanced interoperability
  • Plan your informatics architecture can progress rather than be halted with the introduction of new technologies and digitalisation
  • Understand the relationship between creating a smart lab and correct data alignment

3:50 PM - 4:25 PM How to Reach Innovation in R&D Informatics Software and User Experience

  • Identify new methods to integrating LIMs processes in R&D Facilities
  • Determine the role of user experience when inputting new technologies
  • Gain insight on what future capabilities of new technology means for new informatics software and IoT experience

4:25 PM - 4:30 PM Chairman's Closing Remarks