AI LV 2017 Presentation

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