david cockers key note, Washington Bigdata Conference 2016.

1. Knowledge engineering

2. Exabyte

3. Expect
450 patients
Pharma HQ
Pharma Affiliates/CROs
Experience based
40
patients
10
patients
100
patients350
patients
500
patients
700
patients
We built failure into out predictions

4. Expect
450 patients
Pharma HQ
40
patients
10
patients
100
patients350
patients
500
patients
700
patients
My Enterprise
Socket

5. Hi David,
Say nice things about us -- and how excellent our XML is....
14,000,000 visitors in 2016
2,600,000,000 page views in 2016
That’s to view about half a GB of
data

6. Even way back then, data
was still all about patterns

7. simply storing and presenting
information in the legacy database
fashion
Developers: National Center for Supercomputing
Release date: January 23, 1993
U resource L
Hype text

8. Making better decisions in less time
Increase efficiency while aiming to manage/reduce cost
Optimize performance
We need to be on the right side of right in terms of the Decision equilibrium
Data:Skill+Tools
Time taken for a decision
Job
Job
Job
(Gartner “for every $1 marked for innovation
requires additional $7 to make a reality”
Knowledge engineering

9. “Yeah, but you still don’t
understand what I need”
“I write great software”

10. Corporate IT spend $3.4 trillion Globally…
Put into perspective that’s > than the GDP of the UK
Despite this… productivity remains elusive in big corporations across all sectors
Desire to make ambitious cross-functional IT business objectives
Source: Gartner Research Forecasts

11. It designates the ever-growing interconnectedness of data, an explosion of detailed marketplace data new computational methods, hardware/software
you can combine data practically in unlimited combinations,
and if you do it intelligently, you will discover new insights about your business process and your market

12. Value based Medicine, shift to prevention
Payers, Healthcare constraints
Move from Mass to Personal
Must demonstrate value
Transparency (availability of data)
Our industry a Mosaic of challenges and opportunities

13. Footprint in cardiovascular trials is
decreasing to almost 0.

14. These companies have removed 25%
of their global footprint away from the
US.

15. Active Data Sources

16. The healthcare system is becoming ”wired”
Wealth of data from wearables empowering individuals to control their day-to-day health
(estimate: 40% of workers can reduce healthcare costs by 2020)
Reduce noise and complexity of data
Seamlessly integrate multiple data sources to develop better more efficient healthcare

17. Pharma HQ
Clinical Intelligence Analytics1 Database
+Public Data Private Data

18. Leverage existing data
Cleaning of messy/noisy data to derive meaningful insights
Data integration with alternative and in-house silo data
More focus on the changing disease landscape
Expand on data points - genomics, patient stratification, imaging and biomarkers
Capitalize on the abundance of data
Direct data sourcing (Hospital of things)
Living data (Internet of things)

19. computational
methods
Start here with
the right question

20. Booth 1