This document discusses opportunities within an open ecosystem for artificial intelligence. It outlines how predictive analytics, object recognition, and conversational agents are used in various industries. It also covers benchmarks for AI performance by country, guidelines for responsible development of AI, and the need for hardware and software choices to support an open ecosystem.
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Alles offen = gut(ai)
1. Alles offen = gut?
Möglichkeiten in einem
Eco-System
T-Systems, Max Guhl| July , 2019
2. Science &
Simulation
Max Guhl
Mobile: +49 1708507516
E-Mail: max.guhl@t-systems.com
Super
Computing
Quanten
Computing
AI HPC
PUBlic
Cloud
Alles offen = gut? - Möglichkeiten in einem Eco-System
3. 3July 15, 2020
How our
world changes
How can
I help you?
Service Hotline - Chatbots
Made by min G max
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Edmond de Belamy, Obvious – Artificial art
Users who purchased this article, …
Amazon – Product recommendation machines
Your train will
be delayed
by 13 minutes
Deutsche Bahn App –
Predictive Analytics
Press OK
to enable automated driving
vision of autonomous driving
This product doesn’t fulfil
the set production standards
Any production line – video analysis/Image recognition
Alles offen = gut? - Möglichkeiten in einem Eco-System
4. PREDICTIVE
ANALYTICS
▪ Accurate delay prediction to the exact minute
▪ Planning the operation of trains and
maintenance teams
▪ 24/7 customer information on all platforms
▪ https://www.youtube.com/watch?v=icj4ISUl5qo
6. say “Hi” to Edmond
by
min G max
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7. AI PERFORMANCE BENCHMARK BY COUNTRY
• Personnel indicators:
➢ number of AI specialists
➢ number of AI related job offerings
➢ average years of experience in AI
• Monetary impact indicators:
➢ expected size of the data market in 2020
➢ percentage of share of IT of total GDP
• Competitiveness indicators:
➢ Ranking of cloud computing usage of a country
• Research & Education indicators:
➢ number of papers published on Artificial Intelligence
➢ the number of universities seen as the best in this field
• Technology indicators:
➢ robot density in a country
➢ operation stock of robots
Alles offen = gut? - Möglichkeiten in einem Eco-System
9. TELEKOM AI GUIDELINE
9. We share
and enlighten
4. We are
transparent.
5. We are
secure.
7. We maintain
control
6. We set the
framework
8. We foster the
cooperative model
1. We are
responsible.
2. We care.
3. We put our
customers first.
https://www.telekom.com/en/company/digital-responsibility/details/artificial-intelligence-ai-guideline-524366
Alles offen = gut? - Möglichkeiten in einem Eco-System
10. AI AS PART OF A ECO-SYSTEM
10Alles offen = gut? - Möglichkeiten in einem Eco-System
AI
Deep Learning
ModelArt
Machine Learning
Data Warehouse
Data Lake
MapReduce
LogTank
Data Ingestion
Analytics
Elastic Search
AI Model
Monitoring
Data
Enterprise Intelligence
11. BUILD A BETTER MULTI ROLE ECOSYSTEM WORLD
11Alles offen = gut? - Möglichkeiten in einem Eco-System
ResNet50, Faster-
RCNN, VGG_16,
SegNet_VGG…
BUILT-IN ALGOS & TOOLS
BETTER CODING EXPERIENCE
TensorFlow, MXNet,
Caffe, Spark ML, Scikit,
XGBoost…
▪ Built-in training code with Moxing APIs
▪ Pre-configured hyper-parameters
▪ No need to code from scratch
▪ MoXing SDK, making DL coding simpler
▪ Built-in Notebook
▪ Pre-installed popular AI frameworks
I just want to build a
model quickly
I love coding
▪ Managing compute
▪ Auto containerizing
ONE-CLICK TRAINING
I just want to use a
model
▪ Pre-trained ready to use models
▪ Simple retain with your data
▪ No need to code
READY-TO-USE MODEL
15. 15
dfdf
AI ist hier uns jetzt.
Wir brauchen Bäcker!
Er braucht eine Auswahl an
Werkzeugen und Marktplätzen.
AI Whitepaper
https://www.t-systems.com/de/de/cloud-und-infrastructure/it-
effzient-managen/open-telekom-cloud/ki
Alles offen = gut? - Möglichkeiten in einem Eco-System
16.
17. BENEFITS OF CLOUD COMPUTING FOR AI DEVELOPMENT
17Alles offen = gut? - Möglichkeiten in einem Eco-System
New IT Paradigm
Cloud computing Benefits
Ai needs a high amount of data and compute power (Training burst) which is the pure/ultimate cloud (use) case
Existing Deployment Model
ResourceDemand
Idle Capacity = Inefficient Use of Capital
Unserved Demand =
Missed Out Business Opportunities
Capacity
Idle Capacity = Inefficient Use of Capital
ResourceDemand
Capacity
Time Time
GPUBurst
GPUBurst