Tag: Machine Learning
Using Deep Learning for Anomaly Detection in Cybersecurity

Using Deep Learning for Anomaly Detection in Cybersecurity

In today's interconnected world, cybersecurity has become a critical concern, demanding the need to identify unusual and potentially malicious activities within networks, user behaviors, and system operations. Traditional rule-based methods for anomaly detection in...

What a Wonderful Week at DSSNYC

What a Wonderful Week at DSSNYC

What an amazing experience at #DSSNYC! Day one focused on AI and Machine Learning in the FinTech space, and in every presentation, our speakers shared real-world examples of how AI and ML are making a positive impact across the industry. From longstanding government...

What AI means to Media & Advertising in 2023

What AI means to Media & Advertising in 2023

Artificial Intelligence (AI) is revolutionizing every industry, including media and advertising. AI-driven tools and technologies are reshaping the way media and advertising professionals work, making their jobs more efficient, targeted, and personalized. With the...

The Significance of AIOps

The Significance of AIOps

Many enterprises are either on the path of becoming data-first or already leveraging their data assets. Such a digital journey gets fuelled with data – an enormous amount of it, that is generated daily to empower such data-powered insights. But maintaining data assets...

Experimental Unsupervised Log Anomaly Detection

Experimental Unsupervised Log Anomaly Detection

Unsupervised log anomaly detection is a technique to detect anomalies in logs and can be more effective than supervised log anomaly detection which requires a lot of labeled data. The idea is to be able to do this from the command line interface using a pip install...

9 Things We Learned at Data Science Salon NYC 2022

9 Things We Learned at Data Science Salon NYC 2022

On December 7, 2022, we got the chance to bring the data science community in NYC back together with the Data Science Salon NYC. The last in-person event we had hosted in the Big Apple was in 2019 and we had missed seeing everybody face-to-face so much!   The...