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How big data and IoT connection has transformed the automotive industry

CTOvision

Read Alex M and Ramesh A explain how big data and the Internet of Things connected devices are changing the automotive sector on Financial Express: Internet of Things (IoT) makes […].

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Datameer with Cox Automotive

CTOvision

Cox Automotive is using Datameer to expose their analysts to the vast amounts of data they collect, from shopping behavior to vehicle information. All the data fits into their view of a vehicle life cycle. Analysts are now exposed to data that previously could not be seen for months. Related articles.

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November 12th Big Data Webinar

CTOvision

On November 12th join Hortonworks, HP, SAP, and American Digital for a webinar discussion on how to gain a competitive advantage and transform your business with Big Data. This webinar will highlight how you can turn raw data into insight - the insight that boosts your top and bottom lines.

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UK’s Marshmallow raises $85M on a $1.25B valuation for its more inclusive, big-data take on car insurance

TechCrunch

Meanwhile, Marshmallow’s novel, big-data approach and successful traction in the market speak for themselves. Regardless of whether Marshmallow is the first or one of the first, given the dearth of diversity in the U.K.

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An Intelligent Future for Manufacturing

CIO

For Huawei, digitally transforming manufacturing through advanced ICT including 5G technologies, cloud computing, big data and AI, is the key to reshaping industries for the future. Another leading manufacturer, BYD , first entered the automotive market in 2003.

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Without a Handle on Data, OEMs Will Lose Out on Connected Vehicles

Perficient

For example, standard car users are missing out on: Updating maps automatically Choosing the best route Adjusting internal climate based on weather conditions Analyzing engine efficiency Updating music playlists Thankfully, OEMs have been using big data for a while. What Can Connected Data Do for Consumers?

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How manufacturers can unlock new value from existing data

CIO

Predictive maintenance saves money in two ways: It uses sensor data to monitor for conditions that indicate that equipment is going to fail, such as excessive vibration or heat. For example, a maker of factory equipment can harvest sensor data to predict failures and alert customers to the need for preventive maintenance.

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