algorithms ● intelligence ● optimisation

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Satalia (NPComplete Ltd) www.satalia.com

algorithms ● intelligence ● optimisationDaniel Hulme ● daniel@satalia.com@TheSolveEngine ● 07773765097

• Masters (Msci) in Computer Science with Machine Learning @ UCL• Doctorate (EngD) in Computational Complexity @ UCL• Research Scientist in Optimisation & Innovation @ UCL• Impact Associate for Dept. of Computer Science @ UCL• Lecturer New Venture Analytics // Software Engineering @ UCL

Entrepreneurship // Decision Making // Communications @ Pearson• Founder & CEO of Satalia (NPComplete Ltd) @ UCL• Recipient of a Kauffman Global Scholarship• Visiting Fellow in BigData @ The Big Innovation Centre• Board Director and Advisor to various UK and US companies

BIG WISDOM

BIG UNDERSTANDING

BIG KNOWLEDGE

BIG INFORMATION

BIG DATA

DIKUW Pyramid

• Optimisation Algorithms• Decision Making• Decision Science

• Machine Learning• Analytics & Visualisation• Data Science

• Aggregation & Visibility• Access & Storage• Security & Resilience

ACTION

INSIGHT

Beyond BigData

What is BigData?

Giving Meaning to DataStructured Databases Siloed Migrating from Storage Corruption Security Mining

Unstructured Internet Trawling Mining Language Privacy Cleaning Authenticity

Semi-structured Semantic Web Tagging Querying Provenance Mining Storage Migrating to

Pretty Pictures & Data Scientists

Why?Machine Learning Mature subject Complex Correlations Open-source Tools Mining Prediction Hard

Semantic Inference Reasoning New research area Semantic Web Emerging Tools

The Use of Knowledge

Wisdom - Buy John a dog bowl for his birthday and he'll be very happy

Understanding - John's birthday is on April 27th. If John Smith likes Dogs then he probably has one

Knowledge - 1979-04-27 is John Smith's date of birth, and John Smith likes Dogs

Information - 1979-04-27 is a Date, John Smith is a Person, Dog is an Animal (data in context)

Data - "19790427", "John Smith", "Dog" (raw groups of symbols)

BigQuestions What problem are you

trying to solve?

Objectives, Variables and Constraints

POINTS ROUTES MEGA OPS /S

10 3,628,800 4 seconds11 39,916,800 1 minute13 6,227,020,800 2 hours14 87,178,291,200 1 day16 20,922,789,888,000 1 year20 2,432,902,008,176,640,000 77,000 years22 1,124,000,727,777,610,000,000 36 millennia24 620,448,401,733,239,000,000,000 20 billion years

Odd or Even: O(1)Ordered Search: O(log n)Sorting Items: O(n2)Travelling Salesman: O(n!)

Satalia (NPComplete Ltd) www.satalia.com8

Odd or Even: O(1)Ordered Search: O(log n)Sorting Items: O(n2)Travelling Salesman: O(n!)

POINTS ROUTES MEGA OPS PER SECOND

10 3,628,800 4 seconds

11 39,916,800 1 minute

13 6,227,020,800 2 hours

14 87,178,291,200 1 day

16 20,922,789,888,000 1 year

20 2,432,902,008,176,640,000 77,000 years

22 1,124,000,727,777,610,000,000 36 millennia

24 620,448,401,733,239,000,000,000 20 billion years

The Big “O”

Optimisation-as-a-Service

Community Industry

Next Generation IP Disruptive Innovations

Data and Rewards Royalty Mechanism

Exchange

Innovation Model

Knowledge, Power, Responsibility

Questions & Discussions

satalia algorithms ● intelligence ● optimisation

Daniel Hulme ● daniel@satalia.com@TheSolveEngine ● 07773765097

Algorithm Scoping & Optimisation Insights

Modelling & Algorithm Design

Seamless Integration& Future-Proofing

Web-portal and Services

algorithms ● intelligence ● optimisation

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