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It’s changing our world: in 2008, more things were connected to the internet than there are people on the planet. ArtificialIntelligence: a branch of computer science dealing with the simulation of intelligent behavior in computers or the capability of a machine to imitate intelligent human behavior.
The 2008 financial crisis was decisive. Numerous experts point to the 2008 global financial crisis as an epicenter. They use emerging technologies like BigData and ArtificialIntelligence to optimize customer experience and fill system gaps. And at the base of this are the financial startups.
Thinkers360 In-Depth Profile & Portfolio: Maribel Lopez Social Media: LinkedIn | X Book: Right-Time Experiences: Driving Revenue with Mobile and BigData. After several technology marketing and market research industry analyst roles, I took the leap and created my own independent analyst practice in 2008.
Every few months it seems another study warns that a big slice of the workforce is about to lose their jobs because of artificialintelligence. Between 34% and 44% of global companies surveyed are using AI in in their IT departments in these four ways, monitoring huge volumes of machine-to-machine activities.
’” - Chris Anderson, Wired Magazine, June 23, 2008. The sentiment expressed by Chris Anderson in 2008 is a popular meme in the BigData community. “Causality is dead,” say the priests of analytics and machinelearning. When working with BigData, sometimes correlation is enough.
This movement is being further fueled by the promise of artificialintelligence and machinelearning, and by the ease of collecting and storing data about every facet of our daily lives. But what about the “bigdata, little brain” problem? But is the pendulum starting to swing too far?
Cross-border flows of digitally transmitted data have grown manifold, accounting for more than one-third of the increase in global GDP in 2014, even as the free-flow of goods and services and cross-border capital have ebbed in the aftermath of the 2008 recession. Digital technologies are poised to change the future of work.
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