Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

Artificial Intelligence, IoT and BigData for Driving Innovation

440 vues

Publié le

Slides from the lecture given on Artificial Intelligence, IoT and BigData for Driving Innovation in Victoria University of Wellington. This slides contains some of the basic concepts and business models of emerging technologies.

Publié dans : Technologie
  • Soyez le premier à commenter

Artificial Intelligence, IoT and BigData for Driving Innovation

  1. 1. Internet of Things, Big Data and Artificial Intelligence For Driving Innovation Management by Abdul Wahid
  2. 2. Who AM I Abdul Wahid Founder GleeTech Co-Founder Polanyio and PeopleSonic • 13 years of Experience in IT • PhD (Machine Learning). • 2016, Victoria University of Wellington • Develops intelligent digital products. • Passionate about • AI/Machine Learning/IoT/BigData • Tech Startups/Businesses
  3. 3. Content • Internet of Things (IoT) • Introduction • IoT Business Models • Big Data • Introduction • Big Data Business Models • Artificial Intelligence • Introduction • What AI can do • AI Approaches • AI first Business Model • Conclusion
  4. 4. Internet of Things
  5. 5. Internet of Things (IoT) A network of internet-connected objects able to collect and exchange data using embedded sensors. - BusinessInsider (http://www.businessinsider.com/what-is-the-internet- of-things-definition-2016-8)
  6. 6. Sensing as a Service - New Business Model
  7. 7. Internet of Things - Business Models • Data as a driver • Real time data decisions • New alliances • competitor outsourcing • distributors • New Services • self driving taxis • Pay per use • Asset tracking/monitoring • Others
  8. 8. Big Data
  9. 9. Artificial Intelligence
  10. 10. Artificial Intelligence • “The science and engineering of making intelligent machines.” - John McCarthy, 1956. • Weak AI • intelligent system but designed and trained for a particular task. • Strong AI • intelligent system designed with generalized human like cognitive abilities.
  11. 11. What AI can do INPUT A RESPONSE B APPLICATION Picture Are there human faces? (0 or 1) Photo tagging Loan Application Will they repay the loan? (0 or 1) Loan approvals Ad plus user information Will user click on ad? (0 or 1) Targeted online ads Audio clip Transcript of audio clip Speech recognition English Sentence French Sentence Language translation Sensor from plane engine, etc Is it about to fail? Preventive maintenance Car camera and other sensors Position of other cars Self-driving cars X Y ...
  12. 12. Human vs AI When AI surpasses human performance, the progress slows down. Performance Time
  13. 13. AI First Business Model? AI research is open, anyone can download/develop stat-of-the-art algorithms. How to protect your business and get competitive advantage? Data Product Users Vestibulu m nec congue tempus
  14. 14. AI first Business Model - Scarcities • Data • Capture more data, • Capture Unique data • Talent • AI Experts who can customize AI solutions according to the business • Category Leadership • Create better products, thereby becoming leaders in product adoption • Optimize processes by augmenting humans, thereby becoming leaders in product pricing • Reduce costs by replacing humans, thereby becoming leaders in workforce efficiency
  15. 15. Conclusion - Analysis of Things - Data Science as Service - Big Data Empowering AI - End to End solution providers AI Artificial Intelligence, Deep Learning, Chatbots, Data Science, Analytics Platforms Big Data Twitter, Blogs, News, Websites, Internet IoT Sensors, Smart Phones, Devices Data Enterprise level data, 3rd Party application data
  16. 16. Notes Reference: https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=GBE03 595USEN https://medium.com/element-ai/the-ai-first-business-model-fcc41c069 440 https://medium.com/@Synced/artificial-intelligence-is-the-new-electri city-andrew-ng-cc132ea6264 https://arxiv.org/pdf/1702.02380.pdf

×