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Raymond #2 Post
This is the body of my new post.
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AI 2024 vs 2040
2024 Artificial Intelligence (AI) is a rapidly growing field with many potential business applications. Here are a few examples of how AI could be used in business in 2024: It’s important to note that AI is a rapidly evolving field and new business opportunities are constantly emerging. Businesses that want to be successful in the…
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Federated Learning Business Model
Federated Learning (FL) is a machine learning technique that allows multiple parties to train a shared model on their data while keeping it private and secure. It can be used in the financial services industry to improve the accuracy and performance of predictive models while also addressing privacy concerns. Here are a few examples of…
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Data Security – Decentralized Identifier
Decentralized Identifiers (DIDs) are a new type of digital identifier designed to be self-sovereign and decentralized, meaning they are not controlled by any central authority or organization. They can secure data in various ways, depending on the specific use case. Here are a few examples of how DIDs could be used for data security in…
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Customer Data Enrichment
By Federated Learning Federated learning is a machine learning technique that allows multiple parties to train a model on their data while keeping it private and secure. In the context of data enrichment for lead conversion, federated learning can be used to improve the performance of a model by allowing multiple organizations to contribute their…
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Causal Inference
Causal inference is the process of determining the cause-and-effect relationship between different variables. In AI, causal inference refers to using machine learning algorithms to infer causality from data. This can be done using a variety of techniques, such as: AI causal inference is essential as it can identify the underlying causal relationships in complex systems…
