Advanced Algorithms and Optimisation Strategies in Big Data at Satalia
Daniel Hulme, a research scientist specializing in optimization and innovation at UCL, and CEO of Satalia, explores the complexities of algorithms and artificial intelligence in the realm of big data. With extensive experience in machine learning, computational complexity, and strategic decision-making, Daniel addresses the challenges of data management, including storage, security, and semantic understanding. By leveraging cutting-edge tools and methodologies, Satalia aims to provide insights that empower organizations to harness big data effectively and sustainably.
Advanced Algorithms and Optimisation Strategies in Big Data at Satalia
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Presentation Transcript
algorithms ● intelligence ● optimisation Daniel 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 @ UCLEntrepreneurship // 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
Beyond BigData • ACTION • BIG WISDOM • BIG UNDERSTANDING • INSIGHT • BIG KNOWLEDGE • BIG INFORMATION • DATA • BIG DATA DIKUW Pyramid
Giving Meaning to Data Structured • 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
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 BigQuestions • What problem are you trying to solve? • Objectives, Variables and Constraints 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) Odd or Even: O(1) Ordered Search: O(log n) Sorting Items: O(n2) Travelling Salesman: O(n!)
The Big “O” Odd or Even: O(1) Ordered Search: O(log n) Sorting Items: O(n2) Travelling Salesman: O(n!)
Innovation Model Next Generation IP Disruptive Innovations Exchange Community Industry Data and Rewards Royalty Mechanism
sataliaalgorithms ● intelligence ● optimisation Daniel Hulme ● daniel@satalia.com @TheSolveEngine ● 07773765097
Web-portal and Services • Algorithm Scoping & Optimisation Insights • Modelling & Algorithm Design • Seamless Integration& Future-Proofing
