Readiness of Organisation for AI Adoption
Tags: azure, ai, learning, community
Published: 2024-05-12 20:01:22

Greetings my fellow Technology Advocates and Specialists.

This is __Chapter #4__ of my __Data & AI__ Series based on __Microsoft Build AI Day, Switzerland, 2024.__

In this Session, I will provide readers, my views on __Readiness of Organisation for AI Adoption.__ 

| __CODE REPOSITORY:-__ |
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{% github arindam0310018/09-May-2024-Data-And-AI__All-In-One %}

| __READINESS OF ORGANISATION FOR AI ADOPTION:-__ |
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| 1. Build the right team to bring the right motivation and productivity:- |
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| This is the most important step but giving the benefit of doubt, it may happen that organizations are not clear on requirement or the right information from the source is lost into the translation from ear to ear. |
| Check the excerpt from Microsoft learn, DP-100 - __Designing and Implementing a Data Science Solution on Azure.__ Here you will observe, how Microsoft defines __who should do what.__ This is just an example for ease of understanding. |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ajki0ph95mo560kuj50t.jpg) |

| 2. Individual productivity with the use of AI Toolings. |
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| 3. Team productivity with the use of AI Toolings. |
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| 4. Put AI capability in the tool chain. |
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| 5. Use Frameworks and not writing code from scratch:- |
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| Concept is simple - |
| If you are learning, write code as much as possible. | 
| If you are working, use frameworks and contribute to useful frameworks. |

| 6. Enterprise Landing Zone for AI Apps:- |
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| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6qn12ow6blgff7x74wfg.jpeg) |

| 7. Use of Azure services which are AI READY for enterprise application :- |
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| Below is just one of many example. |
| ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7qtc1lcon6eagi9f4evj.jpeg) |

| 8. Talking to organisation who are ahead of learning curve with their use cases. | 
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| On the AI Day, Microsoft presented 3 short talk on Real world AI Use cases. |

| __(A.) Andreas Korczac, Group SVP digital, Adecco group__ |
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| __Connect over Linkedin:__ https://www.linkedin.com/in/andreaskorczak?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app |
| Adecoo Group created __Global data platform__. They are the __early adopters for Microsoft Fabric__ and have build __Custom orchestrator with LLM and container apps.__ | 

| __(B.) Satvinder Singh, Group head (Data and Analytics), LSEG (London Stock Exchange Group)__ |
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| __Connect over Linkedin:__https://www.linkedin.com/in/satvinder-s-singh?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app |
| __Read the Lessons learned from LSEG and Microsoft:__ https://www.microsoft.com/en-us/industry/blog/financial-services/2024/05/09/3-lessons-in-financial-services-ai-transformation-from-the-lseg-microsoft-partnership/ |
| The Data quality and governance process is Powered by __Microsoft Fabric__ and __Microsoft Purview__ with __"Responsible AI Principles"__. |

| __(C.) Ericson Chan, CIO, Zurich Insurance__ | 
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| __Connect over Linkedin:__ https://www.linkedin.com/in/ericsonchan?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app |
| Zurich Insurance built AI assurance framework (RESTT: Reliability, explainability, safety and security, transparency)
| With the use of Copilot, Zurich Insurance is reshaping insurance company. | 

| 9. AI Security Maturity:- |
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| This must include below. |
| i) Understanding of Generative AI Threat Map. |
| ii) Security controls within AI Systems. |
| iii) Threat Modelling Scenarios. |
| iv) Threat Mapping Template. |
| v) Understanding of End to End Secure AI. |
| __Important to Note:__ Security for AI is an __ever-evolving process__ | 

| 10. Organisation & Cultural Change:- |
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| a.) Unlike Platform Team (Cloud, Devops and Containers) serving needs of Organisation horizontally, So should Data and AI. |
| b.) Use Artificial Intelligence, with intelligence. |
 
| 11. An crisp and clear TOM (Target Operating Model) to better handle data to day business. | 
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| 12. DevRel: Developer relationship:- | 
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| It is the Communication between organizations and developers to ensure a better information flow and feedback loop. 
| __More on DevRel:__ https://www.whatisdevrel.com/ |

| 13. Participating in meetups and conferences. |
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| Sharing is caring and presenting your Solution in front of unknown audiences with their unexpected questions always results into learning and further development. |

__Hope You Enjoyed the Session!!!__

__Stay Safe | Keep Learning | Spread Knowledge__