new qldaihub- webinar 1 kelvin ross · 2020. 6. 10. · injest refine models products data is the...
TRANSCRIPT
AI State-of-the-ArtDr Kelvin [email protected]@kelvinjross
Practice
Dr Kelvin Ross is an entrepreneur, technologist and researcher. He currently holds a number of roles, including Founder & Chairman of KJR, a mid-tier IT consultancy, Adjunct Associate Professor in Intelligent and Integrated Systems at Griffith University, and Director at IntelliHQ, a non-profit innovation Centre focused on Artificial Intelligence in healthcare at Gold Coast University Hospital, and Director at the Queensland AI Hub.
He has over 25 years of experience in advanced technology commencing with safety-critical systems in the military, then moving on to transportation, banking, financial markets, government and healthcare systems. He has participated in several successful (and unsuccessful) technology startups, as well numerous technology implementation programmes in medium and large enterprises.
CONNECTING QUEENSLAND’S ARTIFICIAL INTELLIGENCE ECOSYSTEM
CONNECTING QUEENSLAND’S ARTIFICIAL INTELLIGENCE ECOSYSTEM
AI CONSORTIUM PTY LTDFOUNDING SHAREHOLDERS
FOUNDING PARTNERS
§ $5.5m funding / 4 years from Advance Queensland to operate the Queensland AI Hub
§ Deep AI capability and experience
§ Extensive industry expertise
§ Healthcare, Government, Defence, Education, Agriculture, Environment
§ Strong links to key industry ecosystem partners
§ Startups, SMEs, corporates, government, universities
§ Track record of AI events, promotion and education
§ Global, national and regional connections
CONNECTING QUEENSLAND’S ARTIFICIAL INTELLIGENCE ECOSYSTEM
THE COMPONENTSThe Precinct Centre
Industry Development
Skills & Capabilities
Policy & Advisory
Location for industry collaboration, education (both business and community), a technology demonstrator, AI vendor/partner residents and regional activity coordination.
Build an ecosystem of partners across the state, leveraging the IntelliHQ model for Healthcare AI, and extending into other priority industry segments.
Build upon our model in AIkademi in community meetups, school engagement, cadetships and the Women in AI program. Leverage the Max Kelsen consulting and delivery excellence including engagement with the grass roots AI industry.
Assist with community policy, supporting Experts in Residence, international collaboration and delegations.
INSIGHTS PREDICTIONS ACTIONS
DATASCIENCE
MACHINELEARNING
ARTIFICIALINTELLIGENCE
What is AI?
Source: Sinovation Ventures, https://pandaily.com/kai-fu-lee-9-years-of-sinovation-ventures-parallel-tech-universes-and-vc-ai/
Four Waves of Artificial Intelligence
What is Machine Learning?
Source: zeiss.com
More info: https://hbr.org/cover-story/2017/07/the-business-of-artificial-intelligence
Humans
What’s Driving Progress
IoT Super Sensor
http://www.computerworld.com/article/3197685/internet-of-things/google-a-i-and-the-rise-of-the-super-sensor.html
Deep Learning
Class Truth Infer Loss
Chihuahua 1.0 0.214 +0.786
Labrador 0.0 0.769 -0.769
inference
back propagation
Machine Learning Datasets
Chihuahua or Muffin
Types of Machine Learning
Injest Refine Models Products
Data Is The New Oil, AI Is The New Electricity
Data is ingested from hospitals. Hospital contribute to a data consortia, joining their data with many others to provide a richer data set.
Consolidating, cleaning and de-identifying data is the first step.
Value adding to the data sets, such as labelling, augmentation, and quality assurance enhances data sets for optimised model creation.
Machine learning models are constructed from the data sets. Rich data sets provide the underlying basis for powerful models.
Machine learning models are incorporated within AI products to deliver value, translating decisions into actions, capturing more data into the machine learning feedback loop.
AT SC
ALE
Source: ARTIFICIAL INTELLIGENCE THE NEXT DIGITAL FRONTIER?, McKinsey Global Institute, June 2017, http://www.mckinsey.com/mgi
Growing Use Of Deep Learning at Google
https://www.slideshare.net/AIFrontiers/jeff-dean-trends-and-developments-in-deep-learning-research
Across Many Products/Areas:• Android• Apps• drug discovery• Gmail• Image understanding• Maps• Natural language• understanding• Photos• Robotics research• Speech• Translation• YouTube• … many others ...
AI Titans
https://www.forbes.com/sites/forbestechcouncil/2017/12/05/these-seven-countries-are-in-a-race-to-rule-the-world-with-ai/
Race To Rule The World
CONNECTING QUEENSLAND’S ARTIFICIAL INTELLIGENCE ECOSYSTEM
PRIORITY INDUSTRY SEGMENTS – CUSTOMER LEDHEALTH & BIOTECHNOLOGY ENERGY & UTILITIES NATURAL RESOURCES
SUPPLY CHAIN PUBLIC SAFETY
EnvironmentAgricultureMining
TransportLogisticsProvenance
DATAInterventions
SensorsOutcomes
Driverless CarJourney
Data
Actions
Goals
https://www.youtube.com/watch?v=Ucp0TTmvqOE&t=1h51m05s
Tesla Data Engine
DATAInterventions
Bio-signalsOutcomes
Precision MedicineJourney
Data
Actions
Goals
ICU – a data science treasure trove
DATA
MODELS
INSIGHTS
ACTIONSOUTCOMES
AI Investment–hot and getting hotter
https://www.cbinsights.com/research-artificial-intelligence-startup-deals
https://www.youtube.com/watch?v=Ucp0TTmvqOE&t=1h51m05s
Corner Cases
Super-Human Model
Sample Bias
Overfitted DataTraining
optimised
with sample
biased data
• 50 Petabytes per Hospital• 90% Imaging Data• 97% Unused or Unanalyzed• Doubling Every 2 Years
HospitalBig Data
https://www.science-entrepreneur.com/blog-1/digital-revolution-part-1
Problems with Health Data Silos
1. Distributed, Disparate
2. Seeking access is onerous
3. Needs cleaning and enrichment
4. Different clinical environments
https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007
Product Lifecycles
Innovation
AI/ML Development
Evidence
https://www.fda.gov/media/122535/download
FDA: Proposed Regulatory Framework for Modifications to AI/ML based SAMD
Source: http://readwrite.com/2014/01/01/three-reasons-your-startup-needs-devops-or-else
Ecosystem
Data Talent
Evidence
Healthcare AI Innovation Pillars
IntelliHQ 5 Year Vision
GlobalTop 5Healthcare AI
Globally Connected
30+VenturesAccelerated
$250mInvestment Fund
800+People AI Upskilled
400+Healthcare AI Jobs
50+IndustryPartners
InternationalLeadershipTo FosterTrusted AI
AccelerationPathways ToOptimiseSuccess
Access toHealth DataTo Build AI
DemonstratedHealth SystemBenefits From AI
CollaborationAcrossProviders,Industry, Entrepreneurs,Researchers
$200mLocal Economic Value
CONNECTING QUEENSLAND’S ARTIFICIAL INTELLIGENCE ECOSYSTEM
GET IN TOUCHSTAY CONNECTEDKelvin Ross | [email protected] 505 910
Visit
qldaihub.com
Follow us onQueensland AI Hub
@QLD_AI_Hub
@QueenslandAIhub