Systems | Development | Analytics | API | Testing

Top 5 Resources to Understand the Role of AI/ML in Embedded Analytics

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Together, predictive analytics and AI can help application teams by streamlining processes, generating personalized recommendations, and creating a more intuitive and efficient user experience.

The Best Resources to Learn Android Development

Android has surged past iOS to dominate the world’s smartphone market, but its ecosystem is growing at an exponential rate. There were more than 24,000 different Android devices at the last count, which places major strains on devs. To learn Android development, you have to learn how to optimize for hundreds of different devices. So you need a clear learning plan that can be applied to the entire Android ecosystem.

Building a global deployment platform is hard, here is why

If you ever tried to go global, you have probably faced a reality check. A whole new set of issues starts to appear when you start to operate a workload over multiple locations across the globe: So it looks like a great idea in theory, but in practice, all of this complexity multiplies the number of failure scenarios to consider!

Transforming Telco with Trusted AI Everywhere

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs.

Optimizing Test Automation for Better Results | Moving Automation Testing to Cloud | Ashwini Lalit

In this insightful video, Ashwini Lalit explores the world of test automation, providing expert guidance on how to optimize automation for superior results. Ashwini also delves into the advantages and practicalities of moving your automation testing to the cloud.