Ioanna Papatriantafyllou

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

How many people use connected devices? #uom_is23

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

Technology and harm in the environment #uom_is23

https://t.co/TmjT5rwKgU

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Google Workspace @GoogleWorkspace]

#GoogleWorkspace client-side encryption (CSE) now supports PIV and CAC smart cards to protect sensitive messages in #Gmail. Learn more → https://t.co/DmfEtWo28y

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Alex Xu @alexxubyte]

Symmetric encryption vs asymmetric encryption

Symmetric encryption and asymmetric encryption are two types of cryptographic techniques used to secure data and communications, but they differ in their methods of encryption and decryption.

🔹 In symmetric encryption, a single key is used for both encryption and decryption of data. It is faster and can be applied to bulk data encryption/decryption. For example, we can use it to encrypt massive amounts of PII (Personally Identifiable Information) data. It poses challenges in key management because the sender and receiver share the same key.

🔹 Asymmetric encryption uses a pair of keys: a public key and a private key. The public key is freely distributed and used to encrypt data, while the private key is kept secret and used to decrypt the data. It is more secure than symmetric encryption because the private key is never shared. However, asymmetric encryption is slower because of the complexity of key generation and maths computations. For example, HTTPS uses asymmetric encryption to exchange session keys during TLS handshake, and after that, HTTPS uses symmetric encryption for subsequent communications.

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[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Alex Xu @alexxubyte]

How do companies ship code to production?

The diagram below illustrates the typical workflow.

Step 1: The process starts with a product owner creating user stories based on requirements.

Step 2: The dev team picks up the user stories from the backlog and puts them into a sprint for a two-week dev cycle.

Step 3: The developers commit source code into the code repository Git.

Step 4: A build is triggered in Jenkins. The source code must pass unit tests, code coverage threshold, and gates in SonarQube.

Step 5: Once the build is successful, the build is stored in artifactory. Then the build is deployed into the dev environment.

Step 6: There might be multiple dev teams working on different features. The features need to be tested independently, so they are deployed to QA1 and QA2.

Step 7: The QA team picks up the new QA environments and performs QA testing, regression testing, and performance testing.

Steps 8: Once the QA builds pass the QA team’s verification, they are deployed to the UAT environment.

Step 9: If the UAT testing is successful, the builds become release candidates and will be deployed to the production environment on schedule.

Step 10: SRE (Site Reliability Engineering) team is responsible for prod monitoring.

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Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): https://t.co/uc5M7CdXXC

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Android Developers @AndroidDev]

🔓 Is your app compatible with every device?

Check for explicit and implicit feature requirements, make them optional, and automate checks to prevent regressions in availability! 👏 Ensure that your app can be downloaded on all devices and by all users → https://t.co/uuQKlGZGLE

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Windows @Windows]

Do you ever wish you had a personal assistant? Wish granted! AI in Windows 11 is here to make the everyday easier.

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Google AI @GoogleAI]

Join Ret. Admiral William McRaven & Google’s SVP of Research, Technology & Society, James Manyika, as they discuss the future of AI, its potential to benefit society, & the crucial role of leadership in its responsible development. Watch the full video → https://t.co/cTllm7nzzw

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

Ethics of AI according to UNESCO #uom_is23
https://t.co/1LuQ6XR3kB

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

What are Information systems? #uom_is23
https://t.co/0FZt6lzDcW

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Google AI @GoogleAI]

Introducing StyleDrop, a model that allows a significantly higher level of stylized text-to-image synthesis by using a few style reference images that describe the style for text-to-image generation, bypassing the burden of text prompt engineering. More→ https://t.co/F3Rw3QlbtP

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[IntelliJ IDEA, a JetBrains IDE @intellijidea]

Naming things is hard! 💡 Use AI Assistant for even better naming suggestions. 🛠️ Open Refactor | Rename (⇧F6 | Shift+F6). If you are logged into AI Assistant, you'll see its naming suggestions at the bottom of the list. 🚀 #IntelliJIDEATips

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

The uses of AI: #uom_is23

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

What is AI? #uom_is23

[Ioanna Papatriantafyllou @IOANNA_PAPA30]

#uom_is23

[OpenAI @OpenAI]

We're rolling out new features and improvements that developers have been asking for:

1. Our new model GPT-4 Turbo supports 128K context and has fresher knowledge than GPT-4. Its input and output tokens are respectively 3× and 2× less expensive than GPT-4. It’s available now to all developers in preview.

2. Assistants API and new tools (Retrieval, Code Interpreter) will help developers build world-class AI assistants within their own apps.

3. The platform is becoming multimodal. GPT-4 Turbo with Vision, DALL·E 3, and text-to-speech are all now available to developers.

Oh… and we’re doubling GPT-4 rate limits. https://t.co/BMnsBAHorI