Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Embedded AI combines machine learning with edge devices for local, real-time intelligence.Courses range from beginner to advanced, covering TinyM ...

In his second research effort, "Real-Time Analytics Optimization Using Apache Spark Structured Streaming: A Lambda ...

Meta is pouring up to $100 million into top AI talent from OpenAI, DeepMind, and Anthropic. Here's more about their education ...

The NSM Career Center is not just another campus career office. It is a first-of-its-kind, student-driven talent development ...

In an era driven by data-intensive ecosystems and cloud-native software innovation, the need for robust, secure, and ...

Skywork continues to open-source the second-generation reward models - the Skywork-Reward-V2 series, comprising 8 reward ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

In an enterprise world drowning in dashboards, one truth keeps surfacing: Data isn’t the problem—product thinking is.

Vishakha Agrawal is an AI engineer with nearly a decade of experience developing the infrastructure that supports modern machine learning.