Protecting ML Models from Adversarial Attacks
Adversarial Machine Learning (AML) sits at the intersection of cybersecurity and artificial intelligence, representing both the threat from malicious actors and the need to protect AI systems.
Automate 2024: A CTO’s Perspective on the Future of Tech
Our goal at Xorbix is to help businesses optimize their operations, improve accuracy, and drive innovation.
Data Sharing with Databricks Delta Sharing: A Complete Guide
Databricks Delta Sharing emerges as a transformative solution, offering a streamlined platform for sharing and accessing data across diverse computing environments.
A Guide to Databricks Lakehouse Monitoring
Databricks Lakehouse Monitoring emerges as a powerful solution designed to empower organizations in monitoring and ensuring the integrity of their data assets, utilizing the capabilities of Databricks technology.
How Implementation of IoT is Changing the eCommerce Industry?
The growing use of the Internet of Things (IoT) is changing industries worldwide.
Influence of AI on eCommerce Data Streaming
AI is changing how eCommerce handles data streaming, allowing for quick decision-making.
Databricks Omni Channel Data Collection in eCommerce
Databricks plays a vital role in transforming how eCommerce businesses collect data from multiple channels.
The Impact of Data Quality on AI: A Comprehensive Guide
Data quality significantly influences the performance and dependability of Artificial Intelligence models.
Data Collection Strategies for AI and ML Models
Data serves as the lifeblood of Artificial Intelligence (AI) and Machine Learning (ML) models, powering their development, refinement, and performance.
Navigating Data Privacy & Security Challenges in AI
With the rise of artificial intelligence (AI), new methods for protecting data are emerging. AI has the potential to greatly improve data privacy and security.