#mlops

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fromHackernoon
1 year ago

The TechBeat: 6 Crypto Trends You Can't Ignore in 2025 (6/1/2025) | HackerNoon

"Decentralized Identity (DID) is transforming Know Your Customer (KYC) protocols in blockchain gambling, leveraging Zero-Knowledge Proofs (ZKPs) and real-world pilots to enhance privacy without compromising compliance."
Growth hacking
Marketing tech
fromHackernoon
1 year ago

The TechBeat: Decentralized Identity (DID) and KYC in Blockchain Gambling: Privacy vs. Compliance (5/30/2025) | HackerNoon

The importance of automation in MLOps workflows using tools like Databricks and MLflow.
Decentralized Identity is revolutionizing KYC processes in blockchain gambling.
AI agents are expected to dominate the tech landscape by 2025, driven by advancements in handling hallucinations.
GitHub's MCP server offers enhanced functionality for developers and agents.
DevOps
fromInfoWorld
2 months ago

Bringing DevOps, DevSecOps, and MLOps together

EveryOps integrates DevOps, DevSecOps, and MLOps for a unified approach to software development.
The software development landscape is evolving towards more complex applications influenced by AI.
Environment
fromDevOps.com
3 months ago

MLOps for Green AI: Building Sustainable Machine Learning in the Cloud - DevOps.com

MLOps integrates sustainability into AI operations, reducing environmental impact while enhancing efficiency.
Artificial intelligence
fromInfoQ
3 months ago

Announcing QCon AI: Focusing on Practical, Scalable AI Implementation for Engineering Teams

QCon AI is a new conference focusing on the practical challenges of AI implementation in enterprises.
fromInfoWorld
4 months ago

JFrog unveils JFrog ML for MLOps

JFrog ML integrates MLOps with devsecops practices to facilitate enterprise-grade AI application development.
DevOps
fromInfoQ
5 months ago

Flawed ML Security: Mitigating Security Vulnerabilities in Data & Machine Learning Infrastructure with MLSecOps

Security in machine learning is crucial and often neglected, while MLSecOps integrates security into ML operations processes.
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