Tag: machine learning

Data, Data Products & Innovations

How Microsoft Enhances ML with Synthetic Data Techniques

Unlocking Synthetic Data: Microsoft’s Path to Privacy-Preserving ML The rise of synthetic data generation marks a pivotal shift in how machine learning (ML) models are trained, especially in sensitive fields like healthcare. By creating data that mimics the properties of real datasets, synthetic data enables organizations to train models without exposing sensitive information. Microsoft has been at the forefront of this innovation, exploring its use … Continue reading How Microsoft Enhances ML with Synthetic Data Techniques

Unknown's avatarBidya Bhushan Bibhu1 Comment
Data

Federated Learning: A Privacy-Preserving Approach to AI

Data privacy is becoming an increasingly critical aspect of analytics and machine learning. Organizations face challenges balancing data utility and privacy, especially with strict regulatory requirements such as GDPR and CCPA. In response, companies like Google have pioneered advanced privacy-preserving techniques, such as federated learning and differential privacy, which enable robust data insights while maintaining privacy. Let’s explore these methods and how they redefine data … Continue reading Federated Learning: A Privacy-Preserving Approach to AI

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Data, Databases

What is the Data Lakehouse Model?

As data evolves, so must our architecture. The lakehouse is the future—a system built for the demands of speed, scale, and diverse data types — Bidya Bhushan Bibhu Introduction: In recent years, the explosion of data and increasing demand for real-time analytics have led to significant evolution in data architectures. Traditionally, organizations relied on data warehouses for structured, transactional data and data lakes for large … Continue reading What is the Data Lakehouse Model?

Unknown's avatarBidya Bhushan Bibhu1 Comment