Jisc Digifest 2017 - plenary session with keynote from Geoff Mulgan
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Host: Paul Feldman, chief executive, Jisc. Keynote speaker: Geoff Mulgan, chief executive and CEO, Nesta. Nesta is the UK's innovation foundation and runs a wide range of activities in investment, practical innovation programmes and research.
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Jisc Digifest 2017 - plenary session with keynote from Geoff Mulgan
- 1. Welcome to Digifest: Plenary and keynote
- 2. Paul Feldman, Chief executive, Jisc 2
- 3. Geoff Mulgan,Chief executive, Nesta 3
- 4. Digifest Geoff Mulgan, Birmingham March 2017
- 6. Promise
- 10. Nov 2016, Google Translate adopts a neural machine translation engine that can translate whole sentences.
- 11. In Jan 2017, a machine-learning-powered poker bot outcompeted 20 of the world’s best. Source: Tribune Review, 30 Jan 2017, http://bit.ly/2kW1aj6
- 14. Pitfalls
- 15. • What works? • Where’s the learning about learning? • Top down + social/peer? Online plus offline? • Missing business models?
- 18. UK, 2000-2015 Source: Deloitte LLP
- 19. Fit for the future?
- 20. Possibility
- 23. Offices of Data Analytics (and data marketplaces)
- 24. ARLOESIADUR: turning big data into policy action
- 27. What works centres 1. NICE (health and care) 2. Education Endowment Fund 3. Early Intervention Foundation 4. Centre for Ageing Better 5. College of Policing (crime reduction) 6. Centre for Local Economic Growth 7. What Works Well-being 8. Universities …?T h e n e w g l o b a l l a b o r a t o r y f o r i n n o v a t i o n a n d g r o w t h p o l i c y
- 29. What to lobby for?
Hinweis der Redaktion
- Deepmind Alphago – Mustafa Suleyman at FutureFest 2016 explaining the branching thinking needed to create the algorithm to play Go (with sound) Credits: Courtesy of Nesta http://www.nesta.org.uk/mustafa-suleyman-futurefest-2016
- google translate: 200 billion words from UN, In November 2016, Google announced that Google Translate would switch to a neural machine translation engine, which translates "whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar" What does machine learning mean in this context: learning relative to look-up: where is the smart The richness comes from the richness of the dataset and *uncertainty* Not a static set of rules Dealing with uncertainty
- Sightcorp – scanning a crowd (no sound) Credits: Courtesy of Sightcorp https://www.youtube.com/watch?v=7V8jrdH5tAQ
- In the last 15 years, occupations classified by Osborne and Frey in 2014 as having the lowest probability of computerisation have created approximately 3.5m jobs while higher probability occupations have lost over 800k jobs