Can you trust synthetic data?

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Күн бұрын

• Learn more about the technology behind synthetic data generation → ibm.biz/learn_...
• Learn more about how generative AI play a role in synthetic data generation → ibm.biz/AI-and...
Synthetic data can be created with generative AI to help shape decision making. Learn about why synthetic data exists and how data quality, data privacy, and deployment set up and are pivotal to being able to trust it.
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#syntheticdata #generativeAI

Пікірлер: 20

@lekanfagbuyi7963 10 ай бұрын

Working on a project using synthetic data meaning this video came at the right time. 👌🏾

@jackfana0403 2 ай бұрын

Thank you, man. Please do more videos. I appreciate that.

@sk3ffingtonai 10 ай бұрын

Since AI is "all about the data", more and more videos about data integrity and privacy best practices would be well appreciated. Thank you.

@BooleanDisorder 10 ай бұрын

I was thinking that these hosts are really good at writing backwards, but then I realized the video is probably mirrored. 😂

@jessetwumboafo 10 ай бұрын

It’s not mirrored, they are using a lightboard

@michaelcharlesthearchangel 10 ай бұрын

AI can be used to reverse a mirror effect.

@ustuff247 10 ай бұрын

They're using lightboard: kzbin.info/www/bejne/i6DdkKKpe9mqbJo

@mohamedfouad1309 2 ай бұрын

great vid, thanks

@yvanbarbeau2999 10 ай бұрын

Fantastic job ! Hats off !

@Alice8000 10 ай бұрын

How do you guys write backwards like that??

@MrRaja 10 ай бұрын

Practice

@ranggayogiswara5148 10 ай бұрын

Can you explain that new york, texas thing to non-American? I don't understand.

@LeeYeon-qv1tz 10 ай бұрын

When creating Synthetic data, we make sure that city, state, and country are not shuffled. They cannot be shuffled. For a customer, we cannot have new york in a column and alaska in another column since they are geographically far from each other.

@SiegelBantuBear 9 ай бұрын

🙏🏼

@shehab9487 10 ай бұрын

but how data is synthesized from the original real data ?

@MrRaja 10 ай бұрын

By looking at and using the private data 🤣

@RomansProkopjevs 9 ай бұрын

One approach is to initialise a neural network with random junk as parameters and adjust these parameters to fit well the real-world data but not overfit. The output will be similar to the real-world data but not the same. Another approach is to use classical statistical methods and extend them with an overfitted neural network. For example, an ARIMA model can generate artificial residuals, which the neural network can augment.