Demystifying AI the framework counts

Uwe Weber, Martin Mitev

München, 29. October 2019

28:0AlphaZero Stockfish

THE POTENTIAL OF AI

(72 drawn games)

THE NEW TECHNIQUE WILL CHANGE THE WORLD…

Mathematic Cubes

Watson AI

+ Contextsensitive Semantic Analysis+ Basic Semantic Operations

(Transformation und Assotiation)+ Formal Logic+ NLP + Non-linear Simulation+ Reflection: „Decision Traceability“ + Output Generation: Text, Graph,

Audio and Video

Strong, awareness based AI

+ Consecutive Space-Time-Simulation+ Recursive Modeling+ Multy-Layer Deduction+ Number Teory enabled Thinking+ Humanoid behavior+ Non-Restricted

context/environmental Perception

+ Pattern Recognition+ Object Typing+ Abstraction+ Complex Imitation

(Deep) Neuronal Networks▪ Static Neuronal Networks▪ Preconfigured Network

Layers▪ Preconfigured Activation

Functions

▪ Quantum Logic▪ Artificial Self-Awarness

Self-Learning AI

+ No Dataset for learning required+ Learning Process based on Analysis

and Deduction+ Non-linear Simulations, the Basics of

the Set Theory and the Probability Theory are an Integral Part of the Thinking Process

▪ Learning Process Based on an Affine Functional Analysis

▪ Dynamic DNN Optimization

▪ AI-Platform▪ Extensible Neuronal

Networks▪ Logic und Statistic

Components▪ Linear Optimiser▪ Rich Compoonent Set

for Data Transformation and Output Generation

TensureFlow

+ Novel Thought Patters+ Negotiation Skills+ Complex Deduction

▪ Stream Processing▪ Learning and Processing

based on Function Theory▪ Dynamic Activation Functions▪ Basic Self Optimization

Functionality

AnwendungEigenschaften

Now

▪ Approximation▪ Monte-Carlo-Simulation▪ Hierarchical Rule Sets▪ Function Theory

+ Scalar Optimization+ Stochastic Analysis+ Convex Programs+ Geometry-Problems

+ Vector-based Optimization+ Linear Optimization+ Integer Optimization+ Non-Linear Optimization

+ Lagrange-Multiplication+ Quasi-Newton-Procedure+ …

THE BASIC BUILDING BLOCKS OF AI TODAY

Decision Traceability (Reflection)

Causality / Rule Based Validation

Data Quantity and Quality

Information Flows and Data Logistics

Solution Complexity

Context-aware Control (based on Markov Chains)

Fog Computing, Latency, Connectivity

THE CHALLENGES OF ACTUAL AI PROJECTS

DE

LIV

ER

Y M

OD

EL

S

ALADIN – DIGITAL REAL ESTATE LIFE CYCLE MANAGEMENT

ALADIN is a commercial digital business platform for holistic real estate management.

It provides looped and seamless information along the entire lifecycle in a common source.

Therefore it is the foundation for information-based collaboration within the ecosystem.

It is the enabler for lean processesand a rationalized technology infrastructure.

WHAT IS ALADIN?

SOLUTION

Illustration: pikisuperstar on freepik

8

Model-based approach for collaboration betweenstakeholders at any time.

New technologies and standards as enabler for a Digital Building Twin to integrate information, processes and organizations.

Therefore, a digital business platform is the ideal foundation for a lean and holistic management of a complex real estate ecosystem.

FUNCTIONAL ARCHITECTURE

9

Feedback – Learn – Apply

Sensors (IoT)

Enterprise IT (CAFM, ERP, CRM, BMS, SRM, CAD, PLM, MES,

MOM, SCM, CAE, etc.)

Geo Data

Weather Data

Traffic Data

…

Digital Building Twin(Ecosystem of 3D Models)

Cloud-Service (Data Lake)

Security

Monitoring

Analytics

Simulations

Planning Tools

Partner Value Services

Building (Physical Business)

SOURCE

Platform

INTEGRATION

Marketplace forApplications, Services & Data

SERVICES ROLE-BASED APPLICATIONS

Planner, Facility Manager, Asset Manager etc.

B

A

C ….

Real Estate Mgmt

Financial Mgmt

DriveabilityAnalysis

Analyze the behavior of a car driver to

check policy conditions

Vehicle, Water, Fire, Glass, Roof

Damages

Mobile App or drone photographs/films and calculates the amount of damage

Surveillance Camera Analysis

Ensure correct patrol of security staff in company

buildings and areas

Burglar Alarm

Use CCTV to alert public bodies in case of a burglar

Fraud Detection

Predict and prevent fraudulent activities

in claims, transactions, internal

activities, IT and security

Risk Management & Analysis

Analyses of mass information &

prediction of future situations based on historic decisions

and past trends and their implications

Supply Chain Risk Analysis

Derive risk assessment of

supply chains to enhance insurance

rates

Cognitive Assistants

Digital call center agent, based on AI

enabling insurances to fully automate simple processes

Communication Compliance

Monitor outbound communication, for

statements not compliant to

company regulations, like

profanity, company internal information,

secrets, etc. Contact Centeror Inbound

Management

Inbound IndexingEmail Management

Routing

Procurement

Data Extraction from offer requests, offers, orders

Master data change

Automate the change of banking detail, address on customer request

First Notification of Loss

Metadata extractionClassification

Anonymization

Allow storing or 3rd

party evaluation by removing person

related data

NDA Compliance Testing

Extract attributes from contracts

Work SafetyReal-time sensor

data helps identifying work safety threads in labor intensive

processes

Underwriting

Identify known risks

Pseudo-nymization

Like anonymization but replacing a

removed data by a suitable pseudonym

Ontology Learning

Automatic extraction of a W3C SKOS Model from text

Document Classification

Categorize documents based

on their content and simplify routing by

extracting factsSelf Service

Opportunities

Identify top issues from your customers

and move them to self service

Natural Language Processing

Text Analytics

Computer Vision

Predictive & Prescriptive Analytics

Predictive Pricing

Predict risk and dependencies

based on patterns in historical and real

time data

AI-REFERENCES OF T-SYSTEMS (FEW EXAMPLES)

DEUTSCHE TELEKOM'S NINE GUIDELINES FOR ARTIFICIAL INTELLIGENCE (AI)

We Care

We set the framework

We maintain control

We foster the cooperative model

We share and enlighten

We are secure

We are transparent

We put our customers first

We are responsible