Category Archives: AI

Artificial Intelligence

Google is using AI to predict floods in India and warn users

“A variety of elements — from historical events, to river level readings, to the terrain and elevation of a specific area — feed into our models,” writes Matias. “With this information, we’ve created river flood forecasting models that can more accurately predict not only when and where a flood might occur, but the severity of the event as well.”

The great AI duopoly By Nathan Gardels

Kai-Fu Lee is the chairman of Sinovation Ventures and the president of its Artificial Intelligence Institute: “The AI revolution will have two engines — China and the United States — pushing its progress swiftly forward. It is unlike any previous technological revolution that emerged from a singular cultural setting. Having two engines will further accelerate the pace of technology.”

Announcing AI for Humanitarian Action, a new $40 million, five-year Microsoft program

“The initiative will harness the power of AI to focus on four priorities – helping the world recover from disasters, addressing the needs of children, protecting refugees and displaced people, and promoting respect for human rights. Our AI for Humanitarian Action program is part of Microsoft’s AI for Good suite – a growing $115 million, five-year commitment to work to unlock solutions to some of society’s biggest challenges with artificial intelligence.”

Artificial intelligence hates the poor and disenfranchised

Machine learning algorithms, whether in the form of “AI” or simple shortcuts for sifting through data, are incapable of making rational decisions because they don’t rationalize — they find patterns. That government agencies across the US put them in charge of decisions that profoundly impact the lives of humans, seems incomprehensibly unethical.

AI in Contact Centers: Bringing Real-Time Intelligence into the Conversation

Using real-time transcription overcomes this challenge, allowing businesses to capture the entirety of the conversation and take actions on it, for instance searching for keywords or terms. With this information in hand brands can hone in on what worked and what didn’t. Is there a messaging strategy that needs adjustment? How can we change our call scripts? And so on.