A world after cloud computing by Gunter Dueck

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The document discusses several topics related to the changing nature of work and skills in the digital age: 1) It mentions cloud computing and how work is being transformed by new technologies like synthetic biology, 3D printing, big data, and robotics. 2) It emphasizes the need for workers to constantly reinvent themselves and upgrade their skills to avoid being made obsolete. Generic low-skill jobs are being replaced while demand grows for roles like "machine whisperers" and professionals who can create solutions. 3) The document lists several competencies that will be important for future success, including social skills, creativity, communication, leadership, and the ability to adapt to constant change.

Technologie

Die Welt nach Cloud Computing
Prof. Dr. Gunter Dueck
dueck@omnisophie.com
www.omnisophie.com
Wilddueck@Twitter

Who Moved
My Cheese?
An Amazing Way to Deal With Change In Your Work & In Your Life
DR SPENCER JOHNSON

Informatik ! Engineering?
•  Computers
•  Networks
•  Operating Systems
•  Self-Learning Infrastructures
•  Cyber Physical Systems
•  Robot Society
•  …

Big Data ! Engineering?
•  Spreadsheets, Bean Counting, Controlling
•  Data Mining & „Business Intelligence“
•  Forecasting & Strategy
•  Big Data enabling Smart Systems
•  Self Learning Infrastructures
•  Robot 2.0 (Robotbook, …)
•  …

IT-Professionals ! Real Life?
Integration vieler Welten

„Work hard to stay near to the top –
by much more frequent and quicker
re-invention than in the good old
times.“

Multi-competencies: which ones do you think you
have resp. should have?
Social competency, communication competency, cooperation competency and
team work, competency in conflict resolution, expertise in your job, skill in
your job, leadership competency, competency in methods, self-competency,
competency to grow your personality, intercultural competency, inter-
disciplinary thinking, competency to lead, competency to teach, creativity,
innovativity, courage, analytical competency, competency to build processes,
„process-empathy“ (ability to know what happens), competency in body
language, mathematical competency for good jugdement and decisions,
language competency, internet & computer literacy, selling competency (able
to understand wishes and motives of clients, ability to listen, empathy, ability
to establish trust, ability to be „loved“ by other people right away – on the
phone, too)

Professional Intelligence -
Keep things done
•  IQ – Structure, Plan, Organization
•  EQ – Understanding & „Team“ („Empathy“)
•  CQ – Creativity, Openness, Curiosity
•  AQ - Talent for Attraction („Intropathy“)
•  VQ – Vitality, Will Power, Energy, Passion
•  MQ – Sense for „Meaning“
•  PQ – Integrated Professionality

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Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

Igalia

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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3. Who morphed my cheese?

8. 3D Revolution and Injection molding

10. Synthetic Biology (Solazyme / Amyris )

11. Informatik ! Engineering? •  Computers •  Networks •  Operating Systems •  Self-Learning Infrastructures •  Cyber Physical Systems •  Robot Society •  …

12. Big Data ! Engineering? •  Spreadsheets, Bean Counting, Controlling •  Data Mining & „Business Intelligence“ •  Forecasting & Strategy •  Big Data enabling Smart Systems •  Self Learning Infrastructures •  Robot 2.0 (Robotbook, …) •  …

13. IT-Professionals ! Real Life? Integration vieler Welten

14. „Work hard to stay near to the top – by much more frequent and quicker re-invention than in the good old times.“

15. Upgrade for your future or be industrialized „industrialized“ Part changer eShop Coder Just cheap Call-Center Low skill, Minimum wage „job today Mechanic Sales Rep Softwaredesign Quality Brand Bank clerk Expert „Wanted: Upgrade“ „Machine whisperer“ „Fulfill dreams“ „Solution“ „Life-Style Feeling“ Real professional Creating Professional

16.

17.

18. „Future“ Key Competencies?

19. Multi-competencies: which ones do you think you have resp. should have? Social competency, communication competency, cooperation competency and team work, competency in conflict resolution, expertise in your job, skill in your job, leadership competency, competency in methods, self-competency, competency to grow your personality, intercultural competency, inter- disciplinary thinking, competency to lead, competency to teach, creativity, innovativity, courage, analytical competency, competency to build processes, „process-empathy“ (ability to know what happens), competency in body language, mathematical competency for good jugdement and decisions, language competency, internet & computer literacy, selling competency (able to understand wishes and motives of clients, ability to listen, empathy, ability to establish trust, ability to be „loved“ by other people right away – on the phone, too)

20. Professional Intelligence - Keep things done •  IQ – Structure, Plan, Organization •  EQ – Understanding & „Team“ („Empathy“) •  CQ – Creativity, Openness, Curiosity •  AQ - Talent for Attraction („Intropathy“) •  VQ – Vitality, Will Power, Energy, Passion •  MQ – Sense for „Meaning“ •  PQ – Integrated Professionality

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