Rahul Kasanagottu is an engineer at Google who pivoted to an AI role at the company after a 2.5 year upskilling journey.

AI and ML are the driving forces behind various industries across the globe. The Professional Certificate course of Purdue ...

Most AI projects fail because companies automate noise instead of value. The five percent that succeed treat AI as ...

To support professionals in overcoming this gap, we have selected five university-backed AI programs that emphasise ...

Great Learning, a global edtech firm, has introduced the AI in Healthcare program in partnership with Johns Hopkins ...

A true generative AI (Gen AI) learning culture transcends mere training programs, and should weave a deep appreciation for ...

Discover Taiwo Feyijimi's work at the crossroads of AI, engineering, and learning. Explore his innovative frameworks shaping ...

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

Network automation is becoming a must-have for enterprises as networks get more complex and AI projects multiply. Traditional ...

SDG Group, a global leader in Data, Analytics, and Artificial Intelligence, announced the release of its annual strategic ...

A final sweep of 60 years of evidence reveals durable truths about how development succeeds and fails.

Somewhere in your organization, an AI project is dying. Perhaps it's the recommendation engine that was supposed to boost sales by 30%. Maybe it's the predictive maintenance system that promised to ...