Telecom companies monitor their network using a variety of monitoring tools. There are separate fault management and performance management platforms for different areas of the network (core, RAN, etc.), and infrastructure is monitored separately. Although these solutions monitor network functions and logic – something that would seem to make sense — in practice this strategy fails to produce accurate and effective monitoring or reduce time to detection of service experience issues.

One of the most leading questions we often receive is, “How does ClearML Compare to..”. I am sure this is the same for any Open Source product. People always want to find the best. The sad truth is, of course, there usually is no “right answer”. What one person needs, another may not. I am sure that, whichever language you speak natively, there is some saying. In English it would be “one mans rubbish, is another mans gold”.

Few people can understand the difference between theory and practice more clearly than a chess Grandmaster. Our little 64-square laboratory has space for centuries of ideas. With more moves than atoms in the solar system, my ancient boardgame has limitless complexity for the human mind—and was even enough to stump the world’s fastest computers for decades.

Artificial Intelligence is in the news a lot, and it’s hyped as a cure for all ills in the same breath it’s suspected of spelling doom for us all. What’s the truth behind all the noise? What does artificial intelligence do, seeing as it is simply everywhere. The truth of the matter is that whatever the would-be prophets say, artificial intelligence and machine learning is here, now, and has applications to your day-to-day.

How was that credit application declined? Why was that person denied parole? How were disability benefits cut for those constituents? And why do computers learning from humans automatically see certain occupational words as masculine and others as feminine? It’s hard to explain how the most advanced algorithms make decisions. But as predictive systems proliferate, there are signs we’ve become more wary of their use in making critical decisions.

There’s a lot of hype out there about artificial intelligence (AI) and how it’s revolutionizing this or transforming that. But in this timely remix of a previously published post, AI expert Joanna Bryson (@j2bryson) calls out AI hyperbole and helps us cut through the smoke and mirrors on: Note: Bryson is Professor of Ethics and Technology at the Hertie School of Governance in Berlin where she educates future technologists and policymakers on digital inclusion and AI governance.