h y p e r s c a l a r
collective intelligence...
h y p e r s c a l a r
collective intelligence...
h y p e r s c a l a r
collective intelligence...
h y p e r s c a l a r
collective intelligence...
h y p e r s c a l a r∆
What we do: research & development in emerging technologies, focussing on disruptive applications of machine learning, cybersecurity, blockchain, and intelligent automation; working with high scale distributed systems. We also offer technology due diligence, IP assessment, advanced prototypes, and scale-up advice - both for private equity and for fast growing startups. Examples of our recent work can be found here.
See our research page for the latest publications; for contact information see here.
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AI Market Growth: Annual global AI software revenue is forecast to grow from
$10.1 billion in 2018 to $126.0 billion by 2025, with deep learning based human
perception derived from vision and language as a bigger driver for AI in the long run.
-- Tractica, Q4 2019
Blockchain Adoption : Deloitte’s 2018 global survey of more than 1,000
blockchain-aware executives
is a strong indicator of where blockchain is headed. While blockchain is not quite
ready for primetime, it is getting closer to its breakout moment. Real projects are
now emerging in infrastructure, with major players stepping up.
--Deloitte, 2019
AI Market Share: Software led the artificial intelligence market and accounted
for more than 39.0% share of the global revenue in 2019.
-- Grand View Research Report, Q2 2020
Cybersecurity Trends: Several experts predict economic espionage will
reawaken because of a US-China trade war.
More targeted malware hitting more devices than ever from smart home devices to more
business functions at work. The cybersecurity skills talent gap gets worse, while
cybercriminals compete for dominance.
--GovTech, 2019
AI Deployment: 58% of business say less than 10% of their current
organisation’s technology budget goes toward AI, however 71% expect AI investments will
increase in the next few years.
-- McKinsey
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Recent R&D work includes: • AI model integrity with blockchain • enterprise identity/multi-party consent, GDPR • applied ML for healthcare • distributed ledger in marine insurance • cloud workflow automation • supply chain integrity • privacy and security in cyber-physical systems • research briefings on federated learning, and bias, ethics and fairness • research on public intrusion datasets • applied deep learning with GANs in cybersecurity Recent Technology DD work includes: projects in retail, pharma, finance, insurance, heathcare, workflow automation, mobile image scanning, test automation, crypto-exchange, and logistics - many leveraging applied ML. For further information email here.
machine learning
blockchain
automation
cybersecurity
