New Industrial Revolution

Key Takeaways
•Artificial intelligence is a potent new weapon in the fight against financial fraud, which is on the rise
•One insurer used artificial intelligence to find a fraud ring that was bilking it out of $10 million a year 1
•New forms of AI are keeping pace with the changing tactics of fraudsters
Shortly after leaving the San Diego Sheriff’s Department over a decade ago, Pat Beaty became a certified fraud investigator.
.“Fifteen to 20 years ago, large banks, financial institutions, insurers, and credit unions would have 15-20 people analyzing raw data,” he says. Since then, a lot has changed. “We’re still making calls, interacting with people, verifying members and their transactions by telephone. But looking at a lot more data.”Yet despite the exponential increase in information for his company’s 80,000 members, Beaty’s company stays on top of fraud thanks to software using machine learning, which scans giant volumes of data to isolate suspicious activity..Today, even more artificial intelligence tools are coming online that will change the nature of fighting financial crime. Intel® Saffron™platform, an AI technology, mimics the associative memory of the human brain to surface fraud rings, while accessing an infinitely larger dataset than its human counterparts. These solutions are designed to enhance people in highly complex tasks, and early results indicate they can catch fraudsters with unprecedented speed and efficiency.



Key Takeaways
•Fifteen billion machines are currently connected to the internet, and in 2020, the number will pass 50 billion1
•Many manufacturers have sensors in place, but few are using them to glean revenue-driving insights
•Smart factories will generate as much as $3.7 trillion in value by 2025, according to one estimate from McKinsey2
The molten metal, now 3,000°F, is channeled from ladle to caster, cooling to form a burning orange slab. This work has been repeated billions of times over decades. For the last 70 years, it has happened in steel mills around the world; today, it happens in data factories.
.Modern industry may look much the same from the outside, but a quiet revolution is underway: Manufacturers are going online. A steep drop in sensor costs over the past decade has allowed businesses to collect data at every stage of production. Fifteen billion machines are currently connected to the internet, and in 2020, the number will pass 50 billion.[f:Fifteen billion machines are currently connected to the internet, and in 2020, the number will pass 50 billion [].

By 2025, McKinsey forecasts that “smart factories” will generate as much as $3.7 trillion in value.3These modern manufacturers are producing unfathomable volumes of data, and artificial intelligence is needed to make sense of it all..“Modern machine learning can identify patterns from huge, messy data sets,” explains data scientist Alp Kucukelbir. “With human expertise alone, you can’t really tease out the insights that you want. Machine learning allows us to unravel those patterns that would be difficult or impossible for people to identify.”Seeing the opportunity, Kucukelbir cofounded Fero Labs, a company with a platform that pushes sensor data from the factory to the cloud, where it’s processed with machine learning algorithms. Their software offers insights for how to boost industrial output, prevent costly machine breakdowns, and reduce waste–all contributing to higher product quality and lower costs. .*

[Satan pays well: Apple CEO Tim Cook Earned $102 Million in 2017December 27, 2017 PST by Juli Clover – In fiscal 2017, Apple CEO Tim Cook received a salary of $3.06 million plus $9.33 million in bonuses and stock worth $89.2 million for a total compensation package of approximately $102 million, reports Bloomberg. The data was shared today by Apple in a proxy statement filed with the United States Securities and Exchange Commission ahead of the company’s annual shareholders meeting, which will take place on February 13, 2018.*THE BIBLE SAYS THIS IS EXACTLY HOW IT WOULD LOOK BEFORE THE END (2017-2018)386,940 views



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