In light of Paril Ghori’s experience and future goals, he thinks machine learning-based anomaly detection has the potential to reinvent the sector. “The future of financial oversight will ...

Ghori's expertise also extends into predictive modeling, specifically for lead forecasting, which has proven invaluable for ...

Traditional computers are rule-based - when X is triggered ... One of the most advanced types of AI today is machine learning (ML), which allows computers to learn from experience, much like ...

However, existing methods for log anomaly detection face several challenges, including limitations in recognizing current types of anomalous logs and difficulties in performing online incremental ...

Microsoft has introduced a new provisioning-based payment model for its Azure Files HDD-based file storage. This model replaces the previous pay-as-you-go model based on actual usage for this ...

Therefore, anomaly detection in blockchain data becomes an important approach for identifying suspicious activities, system errors, or other unusual behaviors. This article deals with the application ...

This article will be updated as and when changes are made to the above and anything else of relevance for Enterprise Scale/Azure Landing Zones. Make sure to check back here often to keep up with new ...

This repository contains the implementation for PatchCore as proposed in Roth et al. (2021), https://arxiv.org/abs/2106.08265. First, clone this repository and set ...

You will cover topics like machine learning, augmented reality and data analytics ... Industry placements, company sponsored hackathons and project based learning form a core part of the curriculum ...

Founded in 1995, TopSec ostensibly offers services such as Endpoint Detection and Response (EDR) and vulnerability scanning. But it's also providing "boutique" solutions in order to align with ...