Creating an Ecosystem of Innovation R&D and Entrepreneurship

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  • 1. Table of Contents 1. Latin, Greek and Science 2. NASA and DARPA business model on innovation 3. Europe falling behind in 450mm wafer (11nm semiconductor technology) 4. Silicon Valley Innovation Technology Ecosystem 5. Language Technology Innovation Systems 6. Data Science 7. Recommendations 2
  • 2. Language and Innovation: Context • Historically, Latin and greek were the predominant languages of science and innovation – They were the international lingua franca in matters diplomatic, scientific and philosophic, until the 17th century • Classicists argue that these two languages fell behind the curve of innovation, explaining why they are now ‘dead tongues’ 4
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  • 4. Changing business models • Government owned research entities have started outsourcing their R&D • National Aeronautics and Space Administration (NASA) which oversees space science research in the United States is at the forefront of this: – A new digital paradigm exists with the relationship between NASA and google (google maps and quantum computing, which is attempting to simulate the human brain); and – Space Exploration Technologies (SpaceX) is an American company that designs, manufactures and launches American rockets and spacecraft. It has developed launch vehicles intended to reduce the cost and increase the reliability of access to space
  • 5. Changing business models • Internationally, government institutions are funding start ups and making use of the innovation that stems from there – An example is the ongoing relationship between In-Q-Tel and Palantir Technologies – In-Q-Tel is a not-for-profit venture capital firm that invests in high-tech companies for the sole purpose of keeping the Central Intelligence Agency, and other intelligence agencies, equipped with the latest in information technology – Palantir Technologies builds software that allows organizations to make sense of massive amounts of disparate data (analytics of big data) – Its dynamic ontology software allows for effective analysis of unstructured data • What lessons are there to be learnt by South Africa’s Science Councils and parastatals from these changing business models?
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  • 8. Changing innovation landscape • South Africa needs the public and private sector to embark on a joint R&D strategy – It needs to create and support its own innovation ecosystem, so it doesn’t end up in a similar position to the one Europe currently finds itself • Europe has fallen behind in innovation – Taiwan, South Korea and others are now pioneers in innovation, as shown in semiconductor technologies • Large technology firms are now purchasing innovation from incubator start ups, rather than running their own expensive R&D labs