Operations | Monitoring | ITSM | DevOps | Cloud

A study of 4 major use cases of AI in cars In this fast-paced age of technological evolution, Artificial Intelligence (AI) emerges as the key catalyst driving profound shifts in the automotive sector. From smart vehicle design to customised in-car interactions, AI is reshaping every aspect of transportation, ensuring safer, more effective, and environmentally friendly journeys for both drivers and passengers.

I recently wrote about how AI can support unified communications in the enterprise, but its applications are much broader than that, and communications service providers also have the opportunity to benefit. In a recent Gartner survey, 95% of telecom CIOs said they plan to implement AI/ML technologies by 2026 and 79% said they plan to increase their AI/ML investments.

Compliance as a Service (CaaS) can help you tackle some of your biggest compliance challenges like quick policy changes, evolving security risks, and talent shortages. In this blog, we’ll give you options for handling compliance (and ultimately, security) based on your current needs, and help you assess next steps toward a more compliant and secure infrastructure.

Whether you're building the next massive AI platform, encoding thousands of images, or a hundreds of other use cases, the ability to quickly create ephemeral tasks can be a game changer for engineers solving complex tasks.

In the ever-evolving landscape of technology, engineers are the architects of the digital world. Their expertise shapes the platforms, applications, and services that define our daily interactions with technology. Yet, in the pursuit of innovation and functionality, there's one crucial aspect that often takes a backseat—site reliability. Site reliability engineering (SRE) has emerged as a critical discipline in the realm of software development and operations.

Outsourced engineering teams are gaining in popularity and many investors have started to treat them as a requirement.