new qldaihub- webinar 1 kelvin ross · 2020. 6. 10. · injest refine models products data is the...

AI State-of-the-ArtDr Kelvin Rosskelvin.ross@qldaihub.comwww.qldaihub.com@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 | Chairkelvin.ross@qldaihub.com0414 505 910

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