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5 Ways to Use Log Analytics and Telemetry Data for Fraud Prevention

As fraud continues to grow in prevalence, SecOps teams are increasingly investing in fraud prevention capabilities to protect themselves and their customers. One approach that’s proved reliable is the use of log analytics and telemetry data for fraud prevention. By collecting and analyzing data from various sources, including server logs, network traffic, and user behavior, enterprise SecOps teams can identify patterns and anomalies in real time that may indicate fraudulent activity.

The rise of Realtime Collaboration

The past few years—accelerated by the pandemic—have seen people move more of their work and personal lives online. There’s a huge growth in teams working remotely, either on a full or part-time basis. And many companies have embraced the remote-first model - offering remote-first or hybrid positions as standard. However this shift to remote, online-first interaction brings challenges. For remote workers, one of the biggest impacts has been in the way that they work together.

Running Ray in Cloudera Machine Learning to Power Compute-Hungry LLMs

Lost in the talk about OpenAI is the tremendous amount of compute needed to train and fine-tune LLMs, like GPT, and Generative AI, like ChatGPT. Each iteration requires more compute and the limitation imposed by Moore’s Law quickly moves that task from single compute instances to distributed compute. To accomplish this, OpenAI has employed Ray to power the distributed compute platform to train each release of the GPT models.

A Comprehensive Guide to Integrating Product Analytics With Other Data Sources and Systems

In today's data-driven world, product analytics is crucial in understanding user behavior, improving product features, and driving business growth. However, product analytics alone may not provide a complete picture of user interactions and business performance. Integrating product analytics with other data sources and systems is essential to gain deeper insights and make more informed decisions.

Insights from the State of Software Quality Report 2023 with Katalon, Cigniti, and Deloitte

In the rapidly changing software development industry, enterprises must keep up with the latest trends or risk falling behind. The State of Software Quality Report 2023, with insights from over 3000 QA teams, provides a comprehensive view of the software quality landscape. Experts from Katalon, Deloitte, and Cigniti recently participated in a webinar. They shared their real-world experiences and discussed best practices and strategies to enhance software quality and achieve business success.

Deploying Machine Learning Models for Real-Time Predictions Checklist

Deploying trained models takes models from the lab to live environments and ensures they meet business requirements and drive value. Model deployment can bring great value to organizations, but it is not a simple process, as it involves many phases, stakeholders and different technologies. In this article, we provide recommendations for data professionals who want to improve and streamline their model deployment process.