The answer is simple. Start with boring. Boring projects make money. Clients who address these three elements are more likely ...

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain ...

As part of the project, SynaXG used its complete AI-RAN software stack, including Layer 1, Layer 2, and Layer 3 microservices ...

We are living through one of those rare moments when an entire industry cycle is being reimagined. Like the internet revolution of the 1990s, artificial intelligence is fundamentally reshaping how ...

Forbes contributors publish independent expert analyses and insights. Aleksandra Bal covers indirect tax and technology developments. The promise of AI in the world of tax is compelling: streamlined ...

There's a big mismatch between what organization's priorities are and what they should be and how they are handling their operations.

To make cloud or AI projects successful and complete them on time, you need a clear understanding of business goals and technology capabilities, and that understanding needs to be kept current and ...