1. Exponential growth in data created, collected, and stored has led to a 10x increase in "situation awareness" with big data, requiring rethinking of decision-making processes. 2. Big data is not a "silver bullet" but a new problem-solving philosophy that seeks evidence-based decisions to increase the tempo and speed of decisions in both the private sector and government. 3. Big data will have top-line and bottom-line implications for companies and far-reaching effects on the economy through increased use of analytics, machine learning, and data visualization techniques on large datasets.

1. Is the New
We need to find it,
Extract it, Refine it, Distribute it and
use it to drive Economic Prosperity Dr Andrew Seit

2. Healthy dose of Scepticism is always good in the mix.
Is the New
Or

4. Insight &
Action
Wisdom
Knowledge
Information
Data
ValueofData

5. Insight
& Action
Wisdom
Knowledge
Information
Data
ValueofData
Big Data

6. Insight
& Action
Wisdom
Knowledge
Information
Data
ValueofData
Big Data

7. Agenda
#1. Impact and Opportunity Big Data has created.
#2. Big Data Value Creation in Enterprise & Consumer
#3. Value Capture in Big Data for Government

8. Impact and Opportunity of Big Data
Start of the Revolution
Source: Mckinsey

9. Attack of The Exponential Age (Hockey Stick)

10. Attack of The Exponential Age (Hockey Stick)
Delta Cost has decrease:
• Storage
• Computation
• Mobile
• Cloud (New Models)
• SaaS, PaaS, IaaS
• Do More with Less …

11. The Hype Curve for Innovation

13. The internet of Things

14. Wearables

15. Australian burn 1,800 calories per day
These Data has gone from being highly macro …

16. … to very personal
Nick burns 1982 calories per day

17. .…to very Geospatially localized & Situational Aware

18. Big Data Just got Bigger …
Recognised any of these Social Network?

19. Big Data Just got Bigger …
Recognised any of these Social Network?

20. Big Data awareness goes all the way to the top:

21. Big Data awareness goes all the way to the top:
• Big Data Opens up new possibilities
• Privacy and securities needs to be revisited
• Talents and knowledge is short in supply

22. Key Questions C-Level asked most
Are we getting left behind
by our competitors?
Can we use
technology-enabled
trends to change the
game?
What can we learn from
other industries?
What is a good place to
start in building this BD
technology position?
How can we
sustain a pipeline
of opportunities
over time?
How can our Company
Win
With Technology?
2
3
4
5
1

23. The ease of capturing big data’s value , and the magnitude of
its potential, vary across sectors.
Source: Mckinsey

24. All Top Tier Consultants have their “Big Data Gigs”

25. When Big Data meets Analytics
Values
&
Insights
Analytics
Attribution
Algorithm
3A’s
Volume
Velocity
Variety
Veracity
4V’s

26. From Data to Analytics to Result
Analytics
DeploymentCapture & ETL

29. Use case for Big Data
3.
4.
5.
1.
2.

30. Real-time Common Operating Picture & Analytics
NSW RFS
Common Operating Picture

31. Insurance (Flood, Fire, Hail, Earthquake)

32. Value Creation of Big Data in Enterprise & Consumer
Visualization of Business Outcome

33. Search and Recommendation is about to get
a whole lot smarter ….
SocialVoiceMobile Search MAP (GIS)

34. Relevant Relevant
Profile, Preference
Personalization
Recommendation
social Behaviour
Targeted Ads, Geospatial
SEARCH & Discovery
Foundation Capabilities for Big Data
Matching Engine
Search And Discovery (Big Data scale)

35. Search And Discovery (Big Data scale)

36. • When Big Data Meet Machine Learning
= Deep Learning
• Google = Google Brain $$$$$
• Microsoft = Microsoft ML $$$$
• IBM = Watson (7 years) $$$$$$$
• LinkedIn = Image Machine learning $$
• Facebook = Deepface AI $$$
• DARPA = NLP (mixed languages) $$$$$
Deep Learning: Intelligence from Big Data

37. Augmented Intelligence (Watson) Computing

38. Augmented Intelligence (Watson) Computing

39. Visualization of Export Opportunities?

40. Visualization of Historical & Cultural Data

41. Visualisation & Interaction of Economic Complexity

42. Summary
1. Exponential Growth in Data Created, Collected and Stored.
X10 increase in “Situation Awareness” with Big Data. Rethink
intuitional approaches to decision process.
2. BD is not a “Silver Bullet” but a new philosophy of problem
solving. It is not just a technology answer but a holistic
approach we should be seeking.
3. Private sector and Enterprise are attacking this “Fog-of-Data”
with “Evidence-Based Decisions” , increasing both the tempo
and speed of decisions.
4. Big Data will have Top-line and bottom-line implications for
companies and far reaching effects on the economy.

43. Key Issues need to be addressed
• Privacy concerns
• Data security issues
• Intellectual ownership and liability issues
Big Data
Policies
• Deployment of Technologies
• Legacy system or inconsistent data formats
• Ongoing innovation (Collaborative & Open)
Technology and
Technique
• Access to “Foreign” data
• Integrating with own proprietary data
• It’s Social, IOT, mobile, Cloud,
Data Available
(Real-time)
• Talent Shortage, Stop looking start Grooming
• Leadership that understands Big Data
• Align workflows and Incentives
Organization
Change and
Talent

44. Conclusion/Next steps
1. Big Data is the New Oil. Secret-sauce is in the extraction
process
2. From Data to Wisdom, that journey is gain through
learning, trying and experimenting.
3. Big Data offers New possibilities and enrichment of
current opportunities while creating new ones.
4. Start Now, Start Small, Iterate Fast (not to lose sight on
the Privacy and security issues)
(Democratization of tools, data, technology)

45. Andrew.Seit@gmail.com
Q&A