Sustainability & AI Lecture Lorenz Kupfer Thomas Treml HAM 30. Mai 2022.pdf
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Sustainability & AI Lecture Lorenz Kupfer Thomas Treml HAM 30. Mai 2022 Hochschule für angewandtes Management
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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
- 11. Datenstrategie der Bundesregierung Die Zukunft der Arbeit in der digitalen Transformation (bmwk.de)
- 12. Beispiele
- 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
- 15. https://www.microsoft.com/de-de/ai/responsible-ai?rtc=1&activetab=pivot1%3aprimaryr6 Responsible AI/ Verantwortungsvolle KI in der Praxis
- 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
- 25. To cool datacenter servers, Microsoft turns to boiling liquid
- 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
- 31. Biodiversität
- 34. Wild Me
- 36. Project 15 – A Story in Five Parts
- 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
- 40. Breeze Technologies Air quality explorer
- 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.
- 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)
- 47. Home | Planetary Computer (microsoft.com)
- 50. Measure = Manage
- 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)