OpenAI is now turning its Daybreak initiative into a defensive cybersecurity program that combines Codex updates, the GPT-5.5-Cyber release and partner access for approved organizations. As OpenAI ...

OpenAI Group PBC today expanded its Daybreak cybersecurity program with a new open-source patching initiative called Patch ...

We are looking for a highly technical and hands-on Lead Data Engineer to lead the design, development, and modernization of enterprise data platforms. The successful candidate will be responsible for ...

ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

In 2026, business intelligence(BI) has become a critical capability for enterprises that want to compete in data-driven markets. Organisations are no longer struggling to collect data; they are ...

Every real estate agent faces the same dilemmas: How do you showcase a property’s potential if the current owner’s clutter fills every room? And how do you create professional marketing materials ...

Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.

The platform is slated for an official launch by mid-2026. For the first time since releasing GPT-2 over five years ago, OpenAI has introduced two open-weight AI models to the public. Named GPT ...

Python, R, or SQL: Which reigns supreme in 2025's data science landscape? Compare trends and use cases to choose best language for your data science projects. The data science industry is booming, ...

Rajkumar Kyadasu is a Lead Data Engineer with over 9 years of experience in data engineering, cloud infrastructure, and automation. Currently employed as a Lead Data Engineer, Rajkumar focuses on ...

Cloud-based notebooks have become crucial tools for data analysis, building machine learning models, and peer collaboration. These platforms provide flexibility, scalability, and accessibility, ...