Tag: data security

India, Risk & Fraud Management

Insights from Gartner Risk & Security Summit 2025: What You Need to Know

By Bidya Bhushan Bibhu | March 2025 I recently attended the Gartner Risk and Security Summit 2025, and the experience was eye-opening. Gartner experts and industry leaders gathered to discuss the future of security, risk management, and compliance, highlighting critical changes and trends impacting businesses globally. If you’re someone who thinks risk management is only for technical teams, think again. The conference clearly showed how … Continue reading Insights from Gartner Risk & Security Summit 2025: What You Need to Know

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Data, Data Products & Innovations

How Facebook Democratizes Data Access?

Empowering Teams While Ensuring Security Data is the lifeblood of innovation, but its true power is unlocked when it is accessible to those who need it most. – Bidya Bhushan Bibhu Introduction Facebook’s approach to democratizing data access emphasizes enabling teams to make data-driven decisions without compromising sensitive information or regulatory compliance. This post explores the platform’s initiatives, focusing on how tools like FBLearner Flow … Continue reading How Facebook Democratizes Data Access?

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Data, Data Products & Innovations

Mastering Data Observability for ML Success at LinkedIn

Ensuring Reliable ML Pipelines with DataHub What to Expect in the Blog?Explore LinkedIn’s approach to data observability and metadata management with DataHub, focusing on proactive monitoring, data lineage, and data quality enhancement across ML pipelines. Tags: LinkedIn, DataHub, data observability, metadata management, ML pipeline reliability, data lineage, data quality, proactive monitoring Data Observability at LinkedIn Keeping ML Pipelines Reliable with DataHub Maintaining reliable machine learning … Continue reading Mastering Data Observability for ML Success at LinkedIn

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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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