Amplifying Human ngenuity - WKO.at
Transcript of Amplifying Human ngenuity - WKO.at
Amplifying Human Ingenuitywith Intelligent Technology
DI. Harald LeitenmüllerChief Technology OfficerMicrosoft Österreich GmbH.
www.Microsoft.com/AI
Breakthrough intelligence capabilities, in the cloud and at the edge
Digitalization - “Survival of the most Scalable”
t
2020
Harnessing signals from sensors and devices, managed centrally by the cloud
Intelligence offloaded from the cloud to IoT devices
Cloud
IoT (Industry 4.0)
Edge
AI
Globally available, unlimited compute resources
2022$1.9T $2.6T $3.3T $3.9T*
* “Forecast: The Business Value of Artificial Intelligence, Worldwide, 2017-2025”, Gartner, April 2018.
Stan
dard
izat
ion
Aut
omat
ion
Self
Serv
ice
Promise
85%of Enterprises using AI
by 20201
25%Have started or are
planning to start their AI initiatives in the near
term2
1.Source: Gartner, Smarter with Gartner, 2017.2. Source: Gartner, CIO Report, 2017.3. Source: Gartner, Top challenges to the adoption of AI within your organization
Identifying use cases for AI
Defining AI strategy
Lack of skills
Top challenges for Enterprise3
Machine LearningDeep Learning
Neural Networks
1950 1960 1970 1980 1990 2000 2010
2 + 3 = 5DataProgram/Rules
Output
TRADITIONAL PROGRAMMING
Classic Programming vs. ML
2 + 3 = 5Easy
Not Easy
DataProgram/Rules
Output
TRADITIONAL PROGRAMMING
Classic Programming vs. ML
2 + 3 = 5Easy
Not Easy
DataProgram/Rules
Output
TRADITIONAL PROGRAMMING
Classic Programming vs. ML
For each photo: Cat ? Yes/No
MACHINE LEARNING
DataOutput/Labels
Program
DataProgram/Rules
Output
TRADITIONAL PROGRAMMING
Training Data
Engine
Model(z.B. ResNet 50)
Standard Deep Neural Networks
http://scs.ryerson.ca/~aharley/vis/conv/
Data Input OutputDigit
Deeper learning = representation learningDeep learning network
Inputlayer
Hiddenlayer 1
Hidden layer 2
Hidden layer 3
Output layer
Source: Graphcore, ResNet-50 conv2
Vision Speech Language
Microsoft AI breakthroughs
Vision Analysis Decisions
Analysis DecisionsSpeech
Language
Learning
Microsoft’s AI Capabilitieswww.Microsoft.com/AI
AI Platform
Businesssolutions
Infusing AI
Microsoft Azure Cognitive Services AI Platform
The Microsoft Intelligence Platform
InfrastructureIntelligence ON DATA
Cosmos DB
Intelligence COMPUTE
SQL DB
SQL DW Data Lake Spark DSVM Batch AI ACS
CPU, GPU, FPGA+
Edge
Services
Bot Framework
CUSTOM SERVICES
Azure Machine Learning
CONVERSATIONAL TRAINED SERVICES
Cognitive Services
Tools
VS Tools for AI
Azure ML Studio
CODING & MANAGEMENT TOOLS
Azure ML Workbench
DEEP LEARNING FRAMEWORKS
Cognitive Toolkit TensorFlow Caffe
Others (Scikit-learn, MXNet, Keras, Chainer, Gluon…)
3rd Party
Others (PyCharm, Jupyter Notebooks…)
AI Platform
Ethical AI Decision Framework
Let’s create a People First World with Intelligent Technology and without barriers!
Thank You!
https://www.microsoft.com/en-us/ai/ai-for-good