Generate Data While You Watch TV
Generate Data While You Watch TV
Each time you watch Netflix, the platform collects endless amounts of information. It captures what you are watching, where you are watching it, what device you are using, and so much more. With almost 200 million subscribers consuming nearly 9 hours a week of entertainment, billions of pieces of information are being collected every week. That is what we call “big data.”
All of that big data is virtually meaningless to Netflix if no insights are drawn from it. It is humanly impossible to gain insights from that amount of data without using artificial intelligence. Netflix uses artificial intelligence to analyze the mass data and provide recommendations for you to watch next. Behind the scenes, the company is using artificial intelligence to decide on which content to add and remove to best serve the growing user base. The most intriguing part is that it has provided $1 billion per year in value from customer satisfaction.
Big data and artificial intelligence work hand in hand and have potential to create endless value. Netflix and other consumer services are not the only companies cashing in on its value. The technologies have proven to have impact in many industrial sectors as well.
In the oil and gas sector, ExxonMobil is an excellent example of a company using big data and artificial intelligence. The company has thousands of sensors collecting trillions of data points across its refineries and chemical plants. Sensors collect data on temperature, pressure, and flow Artificial intelligence is used to analyze the big data and extract insights, like how to optimize wells or what are the biggest causes of downtime.
BMW is a leader when it comes to digital transformation in the manufacturing sector, and therefore relies on big data and artificial intelligence. The company tracks millions of parts from the point of manufacturing all the way to when the final vehicle is sold. The mass amounts of data are all connected between 31 assembly facilities across the world for use in predictive maintenance. Artificial intelligence is able to predict worn parts that will cause issues as well as stock overages and shortages at each facility so constraints can be corrected before a problem occurs.
In the mining sector, Teck Resources is using big data and artificial intelligence to reduce vehicle breakdowns. Sensors attached to the company’s mining vehicles collect millions of data points, including electrical data, throughput, and usage. The data is analyzed with artificial intelligence to predict when the vehicles will break down. The team can then take the necessary steps to provide maintenance to the vehicles before serious unplanned downtime occurs.
Big data and artificial intelligence are at the core of every project at A4 Systems. We develop cyber physical systems to improve the quality of your current data collection, and to unlock new sources data from your operations. Focusing on collecting quality data for you allows for incredibly valuable insights from artificial intelligence to boost the performance of your company’s value chain.
This article is part of a series of nine articles entitled, “The 9 Pillars of Digital Transformation.” A4 Systems is a world-class team of cyber physical system product developers. We transform quality data into primary competitive advantage by implementing the 9 pillars into our projects and solutions.
Keep an eye out for the other articles here.