ai lv 2017 presentation
TRANSCRIPT
Artificial Intelligence Cognitive DesignReal World In Demand Applications from AI Cognitive Design
Rob Smith Director Artificial Intelligence and Cognitive Design @ Riskstream
Large Organizations are Spending Billions on Developing Artificial Intelligence
And lots and lots of others – first to market race is on
So are many governments (in order of spending)
China
USA
UK
Australia
Canada
Japan
Germany
Using forecasted AI technological breakthroughs, revenues could surpass
$125 Billion by 2020.
AI revenues are expected to surpass $47 Billion by 2020*
But this is based on 'current technology' implementations.
*IDC
But efficiency gains could generateup to $500 Billion in benefits.
Efficiency gains will be derived from:
Reduced cost from high efficiency operations
New technological innovations
Reduced costs in labor and production
Improved use of resources, health care and gains in education
Demand for AI technology will grow significantly in specific areas
Health Care
Security
Finance
Services
Research
Health Care
Services for patient and elderly in care andIn home settings including mobility and care.
Health research
Therapies
Daily living assistance
Assistive technologies
Medical devices
Security
Defense
Policing
Emergency Response
Prevention and Risk
Cybersecurity
Incarceration
Finance
Improved algorithm trading
Improved allocation of resources
Reduced fraud
General banking and insurance services
Digital cash
Services
Personalized assistants
Education
Daily assistance
Self driving vehicles
Government services
Corporate services
Research
Faster analysis
New innovations
Faster and more complex analysis and modeling
New theoretical principles
Big data analysis
Forecasted Technological Breakthroughs (add the values)
Significant advancements in assistive devicesincluding replacing device motorization with
transformative tech in exoskeletons
Immediate translation
Disaster anticipation and mitigation as well as mitigation modeling
Technological development in molecular technologyand transformative technology
Navigation and sensory detection
Private development of AI requires near term delivery of usable technology as a target.
We need to branch off foundational designsto deliver functionality to meet current demands by
adding near term functionality to the development roadmap.
Some of the demand is not well 'acknowledged' such as improved policing or even emergency response.
Demand will need to be grown or marketed but it already exists.
Two options that we have chosen to focus on for our cognitive designs are emergency management
and assistive technologies.
Observation, Interface &
Raw Filtration
Data InterpretationPackage
Define / Recall Input Data Structure ETL Interface
Package
SensorIdentification
Package
Implement data Identification
packageImplement Data
Tracking / AnalysisPackage
Context and Relevance Recovery
Second Layer Tagging &
Multidimensional Storage
ImplementInterpretation and
Risk Tracking Package
Stream Analysis Package
Decision Machine
Ontology Package
AI Design Part 1 – Partial Sensory Integration Component - Cognitive Decision Machine
AI Design Part 2 – Partial Context / Relevance Instantiation - Cognitive Decision Machine
Context RecoveryStaging Package
RelevanceStaging Package
Create ContextMap
Create RelevanceMap
Detail Data and Environment Interpretation
RelevanceMetrics Package
Context/RelevanceOverlay Package
Data Enhancement Storage
Determination
Enhanced AnalysisPackage
Data DeliminationFlagging Package
Delta Relevance &Context Reset
Context &Relevance Metrics
Delivery
AI Design Part 3 – Partial Decision Trigger - Cognitive Decision Machine
Anticipation & ARE Package
Delta InterpretationDecision Setup
PackageRisk Evaluation
Package
Delta Update andStorage Package Instruction Delivery
Mitigation ActionPackage
Delta Metrics Package
AnticipationDelta Package
Delta Deliminationand Flagging
Package
Decision PackageRelevance and
Context Interpreter Package
External SupportInput Package
Sensors
Sensors
Sensors
SensorsNetwork
CognitiveAnalysis
CognitiveDecisionMaking
Anticipation
Analysis
RiskAnalysis
AnticipationAnalysis
Mitigation Response
AI
Sensory Interpretation
ContextProcessing
RelevanceProcessing
OntologyProcessing
DecisionDeliveryActions
Response Systems
We need to close the gap between sensory perception and response
Key Deliverables Include:
Part 1 - Sensory acceptance and interpretation
Part 2 - Data processing, context and relevance
Part 3 - Decision machine - response delivery mechanism
Policing – Using video and security systems and big data to track, arrest, prosecute offenders and manage/improve incarceration/rehabilitation.
Emergency Response and Mitigation – Modeling and responseplanning including rapid resource allocation and co-ordination
Heath Care & Assistive Technology – Response to human interface devices such as physical assistive devices for health care and aging
IoT – Internet of things sensory input and distributed device management
Self driving vehicles – Rapid sensory response to changing environments
New tech and research – Application of big data and modeling
Finance and customer service – Investments, banking and CRM
High Growth / High Value Demand Areas for AINear Term Functional Targets
Building Artificial Intelligence privately requires a balance between foundational designs for future development to deliver AI leadership while creating technology that can
provide a near term return to ensure first to market advantage and critical mass.
Artificial Intelligence Cognitive DesignReal World In Demand Applications from AI Cognitive Design
Rob Smith Director Artificial Intelligence and Cognitive Design @ Riskstream