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“Our mission is to empower every person and every organization on the planet to achieve more. ”
Microsoft Sustainability & KI
Thomas Treml
Senior Account Technology Strategist
Microsoft Deutschland GmbH
https://aka.ms/nachhaltige-hochschule
https://www.microsoft.com/en-us/corporate-responsibility/sustainability
Lorenz Kupfer
Industry Advisor Higher Education
Microsoft Deutschland GmbH
© Copyright Microsoft Corporation. All rights reserved.
“At a time when many are calling
attention to the role technology plays in
society, our mission remains constant.
It grounds us in the enormous
opportunity and responsibility we have
to ensure that the technology we create
always benefits everyone on the planet,
including the planet itself.”
- Satya Nadella
Our approach Employees
Operations
Align with science and
international goals
Products
& Services
Preferred platform
and products for
environmental
solutions
Customers
& Partners
Trusted partner for
customers’
sustainability journeys
Policy
Advocate for policies to
achieve corporate and
societal goals
Our Sustainability journey
2009 2012 2013 2016 2017 2018 2019 2020
First carbon
emission
reduction goal
100% carbon neutral
+ carbon tax
First renewable energy PPA
Smart Building
solution deployed
Set first renewable energy
target of 60% by 2020
Zero-waste campus
certification
Launched AI for Earth
LEED Gold certification
for new datacenters
Launched supplier carbon
engagement in China
Advocated to establish an
economy wide carbon fee in
Washington State
$15 carbon tax
Set goal of 70% renewable
energy by 2023
2021
Set goal of being carbon
negative by 2030
Set goal of 100%
renewable energy by
2025 (100/100/0)
Launched Climate
Innovation Fund
Announced building of
Planetary Computer
Set goal to protect more
land than we use by 2025
Set goal to be zero
Released first company-
wide Sustainability Report
Purchased over 1 million
tons of carbon removal
https://aka.ms/MSFTSustainabilityReport
How our carbon tax works
The three primary components of our carbon fee model
1 Organizational carbon reduction policy
%
Human resources
Accounting & finance
Legal
Product development
Sales & marketing
Customer service
mtCO2e
emissions
allocated by
group
2 Price on carbon
Energy emissions X carbon price for energy emissions =
Other emissions X carbon price for energy emissions =
Central
fund
3 Carbon fee fund investment strategy
Internal efficiency initiatives
Green energy (PPA)
Carbon offset projects
White Paper: Sustainable Procurement
How Microsoft is using an internal carbon
fee to reach its carbon negative goal -
Microsoft Industry Blogs
Carbon scopes, defined
Scope 1
Direct emissions created
by your activities, like
exhaust from company
vehicles or diesel
generators
Scope 2
Indirect emissions from
the production of
electricity or heat you use
to power buildings or
processes
Scope 3
Indirect value chain
emissions from all other
activities in which you’re
engaged, including all parts
of your supply chain, from
materials in buildings,
business travel, and product
lifecycle to the electricity your
customers consume
BURN BUY
BEYOND
KI und Nachhaltigkeit
Transformative
technologies
democratized
Intelligent Cloud
Smartphones
2% of 2007 Cost
Solar
.5% of 1984 Cost
Mixed Reality
1% of 2007 cost
DNA Sequencing
.01% of 2007 Cost
Industrial Robots
3% of 2007 Cost
3D Printers
1% of 2007 Cost
Sensors
.3% of 2007 Cost
Drones
1% of 2007 cost
Intelligent Cloud
Intelligent Cloud
Smartphones
2% of 2007 Cost
Solar
.5% of 1984 Cost
Mixed Reality
1% of 2007 cost
DNA Sequencing
.01% of 2007 Cost
Industrial Robots
3% of 2007 Cost
3D Printers
1% of 2007 Cost
Sensors
.3% of 2007 Cost
Drones
1% of 2007 cost
 Datenstrategie der Bundesregierung
Die Zukunft der Arbeit in der digitalen Transformation (bmwk.de)
Beispiele
Beispiel: Ganganalyse zur optimalen Anpassung einer Prothese
Microsoft Customer Story-Digital mobilisieren: Prothesen und digitale Lösungen von Ottobock mit Data Analytics und Microsoft Azure
https://www.microsoft.com/de-de/ai/responsible-ai?rtc=1&activetab=pivot1%3aprimaryr6
Responsible AI/ Verantwortungsvolle KI in der Praxis
Big
Data
Leistungsstarke
Algorithmen
Enorme
Rechenleistung
Warum jetzt?
https://innovation.microsoft.com/de-de/ai-at-scale
Die größte Herausforderung
Was wissen wir über die Daten, die wir haben?
„Dunkle
Daten“
Projektdaten
Kundendaten-
sätze
Aktuelle
Projektdateien
Aktuelle Dokumente
70 % - 80 % der Daten, die an
Unternehmensdatenstandorten
aufbewahrt werden, werden
nicht verwaltet.
Was Sie
verwenden.
Was Sie behalten müssen.
Highly distributed
Frameworks
• Open Source frameworks for massive model training
(20x bigger/10x faster)
• DeepSpeed: Distributed framework enabling
massive models training (200B parameters)
• Azure Machine Learning: Orchestrator via new ONNX
distributed training. Azure Machine Learning recipes for training
• The 5th largest supercomputer in the world
• 300,000 CPU cores, 10,000 GPUs
• 1st cloud based, designed for massive AI training
• Built in partnership with OpenAI
AI Supercomputer
How we use these models
Out-of-the-box Customized
AI across the
organization
Everyday
employees
Business employees
in core functions
Advanced
business roles
Developers and
data scientists
Machine Learning Operations (MLOps)
+ Common Data Platform
MLOps
Engineering + Data Science
Machine learning operations (MLOps) framework to upscale machine learning lifecycle with Azure Machine Learning
- Azure Architecture Center | Microsoft Docs
Big
Data
Leistungsstarke
Algorithmen
Enorme
Rechenleistung
Warum jetzt?
To cool datacenter servers, Microsoft turns to boiling liquid
Learnings
 True “lights out”
operation
 No maintenance for years
 Better server environment
 Consistently cool, with reduced
thermal cycling for increased
reliability
 No oxygen, low moisture nitrogen
atmosphere to reduce corrosion
 No risk from external gaseous or
particulate contaminants
DATA INGEST STORE AI SERVE
Azure Blob Storage
Live Underwater
Video Stream
Azure
Machine
Learning
AI App
Monitoring
underwater
wildlife
VoTT Tagged
Data
(training)
Machine
Learning
VM
Azure Media Services
AI for Earth pipeline classifies and counts sea life to understand impact
Project Natick Using AI Earth
Real-time streaming from
external cameras to app
Training
Deployed to
Natick VMs
Object Detection
Model
Increase access Provide education Fuel innovation
AI for Earth
430+
Grantees
70+
Countries
Monitor | Model | Manage
Biodiversität
Wild Me
Project 15 – A Story
in Five Parts
University of Tuebingen
Detection and classification of roads in satellite images (GitHub)
Dida
"AI for good" - dida wins
international "Microsoft AI for
Earth" award for regulation of
informal gold mining | dida
Machine Learning
Breeze Technologies
Air quality explorer
Big
Data
Leistungsstarke
Algorithmen
Enorme
Rechenleistung
Warum jetzt?
Die größte Herausforderung
Was wissen wir über die Daten, die wir haben?
„Dunkle
Daten“
Projektdaten
Kundendaten-
sätze
Aktuelle
Projektdateien
Aktuelle Dokumente
70 % - 80 % der Daten, die an
Unternehmensdatenstandorten
aufbewahrt werden, werden
nicht verwaltet.
Was Sie
verwenden.
Was Sie behalten müssen.
Building planetary insight
Train
models
Curate
datasets
Deploy
APIs +
Host apps
Provide
infrastructure
Conservation
organizations
Data scientists
App developers
Academia, research
environmental scientists
Education
Citizen scientists
Local governments
Policy and advocacy
Consumers
Data Catalog | Planetary Computer (microsoft.com)
Home | Planetary Computer (microsoft.com)
Measure = Manage
Delivering intelligence to
help you accelerate every
stage of your organization’s
sustainability journey
Comprehensive
Integrated
Automated
Microsoft
Cloud for
Sustainability
DATA
Record
INSIGHTS
Report
ACTION
Reduce
One platform for integrating and accelerating your journey
Connect your data and
calculate your impact
View data analysis
and insights
Take action to accelerate
your sustainability journey
DATA
Record
INSIGHTS
Report
ACTION
Reduce
Microsoft Cloud for Sustainability
Coming: First half of 2022
Connection
catalog
Partner
solutions
Reporting
Data
visualization
Dynamic
calculation
Common
data model
Actionable
insights
Goal tracking
Solution view
Sales
Procurement
Manufacturing
Farms
Logistics
Facilities
Assets
Travel
Operations Sources
Trading
partners
Other
data sources
ERP providers
Cloud
providers
Agriculture
Microsoft Cloud for Sustainability
Carbon Waste
Water
Microsoft Azure
Dataverse Synapse
Data Lake
Data capture
service
Calculation
service
Reporting
service
Sustainability Common Data Model
Power Platform
Power
Apps
Power
Automate
Power BI
Report providers
Partner solutions
Ecosystem
Governance
partners
AI Business School
1.9M+ visitors
190+ countries
640% engagement
4.7/5.0 average rating
aka.ms/aibs
In partnership with
Innovation Lectures
Inspire Exchange Connect
We at Microsoft are enthusiastic
about new technologies and
innovative ideas.
Our Innovation Lectures are
giving you impulses for future-
oriented trends, services,
software. They also give you an
insight into current and future
economy challenges focusing
on Sustainability, Responsible AI
and Diversity and Inclusion.
Every day, every hour, every
minute we learn from each
other. So, let’s learn together!
We’d like to hear your thoughts,
your ideas and your needs in
order to create a future-proofed
journey together with us.
Be creative, be innovative, be
vocal and give us your feedback.
Our joint journey does not end
here, it just began!
We will join you on your career
path. Focusing on interactive
trainings leading to valued
certifications, hosting
networking events or
connecting you to our or one
of our partner's recruiting team.
We need your Feedback!
https://aka.ms/HAM-Feedback
More resources
Workforce of the
Future
https://aka.ms/WOF
Microsoft Virtual
Training Days
https://aka.ms/MVTD
Microsoft Learn –
Student Ambassador
Microsoft Learn Student
Ambassadors
A guided journey
into AI
(microsoft.com)

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Sustainability & AI Lecture Lorenz Kupfer Thomas Treml HAM 30. Mai 2022.pdf

  • 1. “Our mission is to empower every person and every organization on the planet to achieve more. ” Microsoft Sustainability & KI Thomas Treml Senior Account Technology Strategist Microsoft Deutschland GmbH https://aka.ms/nachhaltige-hochschule https://www.microsoft.com/en-us/corporate-responsibility/sustainability Lorenz Kupfer Industry Advisor Higher Education Microsoft Deutschland GmbH
  • 2. © Copyright Microsoft Corporation. All rights reserved.
  • 3. “At a time when many are calling attention to the role technology plays in society, our mission remains constant. It grounds us in the enormous opportunity and responsibility we have to ensure that the technology we create always benefits everyone on the planet, including the planet itself.” - Satya Nadella
  • 4. Our approach Employees Operations Align with science and international goals Products & Services Preferred platform and products for environmental solutions Customers & Partners Trusted partner for customers’ sustainability journeys Policy Advocate for policies to achieve corporate and societal goals
  • 5. Our Sustainability journey 2009 2012 2013 2016 2017 2018 2019 2020 First carbon emission reduction goal 100% carbon neutral + carbon tax First renewable energy PPA Smart Building solution deployed Set first renewable energy target of 60% by 2020 Zero-waste campus certification Launched AI for Earth LEED Gold certification for new datacenters Launched supplier carbon engagement in China Advocated to establish an economy wide carbon fee in Washington State $15 carbon tax Set goal of 70% renewable energy by 2023 2021 Set goal of being carbon negative by 2030 Set goal of 100% renewable energy by 2025 (100/100/0) Launched Climate Innovation Fund Announced building of Planetary Computer Set goal to protect more land than we use by 2025 Set goal to be zero Released first company- wide Sustainability Report Purchased over 1 million tons of carbon removal https://aka.ms/MSFTSustainabilityReport
  • 6. How our carbon tax works The three primary components of our carbon fee model 1 Organizational carbon reduction policy % Human resources Accounting & finance Legal Product development Sales & marketing Customer service mtCO2e emissions allocated by group 2 Price on carbon Energy emissions X carbon price for energy emissions = Other emissions X carbon price for energy emissions = Central fund 3 Carbon fee fund investment strategy Internal efficiency initiatives Green energy (PPA) Carbon offset projects White Paper: Sustainable Procurement How Microsoft is using an internal carbon fee to reach its carbon negative goal - Microsoft Industry Blogs
  • 7. Carbon scopes, defined Scope 1 Direct emissions created by your activities, like exhaust from company vehicles or diesel generators Scope 2 Indirect emissions from the production of electricity or heat you use to power buildings or processes Scope 3 Indirect value chain emissions from all other activities in which you’re engaged, including all parts of your supply chain, from materials in buildings, business travel, and product lifecycle to the electricity your customers consume BURN BUY BEYOND
  • 9. Transformative technologies democratized Intelligent Cloud Smartphones 2% of 2007 Cost Solar .5% of 1984 Cost Mixed Reality 1% of 2007 cost DNA Sequencing .01% of 2007 Cost Industrial Robots 3% of 2007 Cost 3D Printers 1% of 2007 Cost Sensors .3% of 2007 Cost Drones 1% of 2007 cost Intelligent Cloud Intelligent Cloud Smartphones 2% of 2007 Cost Solar .5% of 1984 Cost Mixed Reality 1% of 2007 cost DNA Sequencing .01% of 2007 Cost Industrial Robots 3% of 2007 Cost 3D Printers 1% of 2007 Cost Sensors .3% of 2007 Cost Drones 1% of 2007 cost
  • 10.
  • 11.  Datenstrategie der Bundesregierung Die Zukunft der Arbeit in der digitalen Transformation (bmwk.de)
  • 13. Beispiel: Ganganalyse zur optimalen Anpassung einer Prothese
  • 14. Microsoft Customer Story-Digital mobilisieren: Prothesen und digitale Lösungen von Ottobock mit Data Analytics und Microsoft Azure
  • 18. Die größte Herausforderung Was wissen wir über die Daten, die wir haben? „Dunkle Daten“ Projektdaten Kundendaten- sätze Aktuelle Projektdateien Aktuelle Dokumente 70 % - 80 % der Daten, die an Unternehmensdatenstandorten aufbewahrt werden, werden nicht verwaltet. Was Sie verwenden. Was Sie behalten müssen.
  • 19. Highly distributed Frameworks • Open Source frameworks for massive model training (20x bigger/10x faster) • DeepSpeed: Distributed framework enabling massive models training (200B parameters) • Azure Machine Learning: Orchestrator via new ONNX distributed training. Azure Machine Learning recipes for training • The 5th largest supercomputer in the world • 300,000 CPU cores, 10,000 GPUs • 1st cloud based, designed for massive AI training • Built in partnership with OpenAI AI Supercomputer
  • 20. How we use these models
  • 21. Out-of-the-box Customized AI across the organization Everyday employees Business employees in core functions Advanced business roles Developers and data scientists Machine Learning Operations (MLOps) + Common Data Platform
  • 22. MLOps Engineering + Data Science Machine learning operations (MLOps) framework to upscale machine learning lifecycle with Azure Machine Learning - Azure Architecture Center | Microsoft Docs
  • 24.
  • 25. To cool datacenter servers, Microsoft turns to boiling liquid
  • 26.
  • 27.
  • 28. Learnings  True “lights out” operation  No maintenance for years  Better server environment  Consistently cool, with reduced thermal cycling for increased reliability  No oxygen, low moisture nitrogen atmosphere to reduce corrosion  No risk from external gaseous or particulate contaminants
  • 29. DATA INGEST STORE AI SERVE Azure Blob Storage Live Underwater Video Stream Azure Machine Learning AI App Monitoring underwater wildlife VoTT Tagged Data (training) Machine Learning VM Azure Media Services AI for Earth pipeline classifies and counts sea life to understand impact Project Natick Using AI Earth Real-time streaming from external cameras to app Training Deployed to Natick VMs Object Detection Model
  • 30. Increase access Provide education Fuel innovation AI for Earth 430+ Grantees 70+ Countries Monitor | Model | Manage
  • 32.
  • 33.
  • 35.
  • 36. Project 15 – A Story in Five Parts
  • 37.
  • 38. University of Tuebingen Detection and classification of roads in satellite images (GitHub)
  • 39. Dida "AI for good" - dida wins international "Microsoft AI for Earth" award for regulation of informal gold mining | dida Machine Learning
  • 42. Die größte Herausforderung Was wissen wir über die Daten, die wir haben? „Dunkle Daten“ Projektdaten Kundendaten- sätze Aktuelle Projektdateien Aktuelle Dokumente 70 % - 80 % der Daten, die an Unternehmensdatenstandorten aufbewahrt werden, werden nicht verwaltet. Was Sie verwenden. Was Sie behalten müssen.
  • 43.
  • 44. Building planetary insight Train models Curate datasets Deploy APIs + Host apps Provide infrastructure Conservation organizations Data scientists App developers Academia, research environmental scientists Education Citizen scientists Local governments Policy and advocacy Consumers
  • 45. Data Catalog | Planetary Computer (microsoft.com)
  • 46.
  • 47. Home | Planetary Computer (microsoft.com)
  • 48.
  • 49.
  • 51. Delivering intelligence to help you accelerate every stage of your organization’s sustainability journey Comprehensive Integrated Automated Microsoft Cloud for Sustainability DATA Record INSIGHTS Report ACTION Reduce
  • 52. One platform for integrating and accelerating your journey Connect your data and calculate your impact View data analysis and insights Take action to accelerate your sustainability journey
  • 53. DATA Record INSIGHTS Report ACTION Reduce Microsoft Cloud for Sustainability Coming: First half of 2022 Connection catalog Partner solutions Reporting Data visualization Dynamic calculation Common data model Actionable insights Goal tracking
  • 54. Solution view Sales Procurement Manufacturing Farms Logistics Facilities Assets Travel Operations Sources Trading partners Other data sources ERP providers Cloud providers Agriculture Microsoft Cloud for Sustainability Carbon Waste Water Microsoft Azure Dataverse Synapse Data Lake Data capture service Calculation service Reporting service Sustainability Common Data Model Power Platform Power Apps Power Automate Power BI Report providers Partner solutions Ecosystem Governance partners
  • 55. AI Business School 1.9M+ visitors 190+ countries 640% engagement 4.7/5.0 average rating aka.ms/aibs In partnership with
  • 56. Innovation Lectures Inspire Exchange Connect We at Microsoft are enthusiastic about new technologies and innovative ideas. Our Innovation Lectures are giving you impulses for future- oriented trends, services, software. They also give you an insight into current and future economy challenges focusing on Sustainability, Responsible AI and Diversity and Inclusion. Every day, every hour, every minute we learn from each other. So, let’s learn together! We’d like to hear your thoughts, your ideas and your needs in order to create a future-proofed journey together with us. Be creative, be innovative, be vocal and give us your feedback. Our joint journey does not end here, it just began! We will join you on your career path. Focusing on interactive trainings leading to valued certifications, hosting networking events or connecting you to our or one of our partner's recruiting team.
  • 57. We need your Feedback! https://aka.ms/HAM-Feedback
  • 58. More resources Workforce of the Future https://aka.ms/WOF Microsoft Virtual Training Days https://aka.ms/MVTD Microsoft Learn – Student Ambassador Microsoft Learn Student Ambassadors A guided journey into AI (microsoft.com)