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Automotive manufacturers need digital transformation to survive disruption

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Automotive manufacturers need to accelerate digital transformation initiatives in order to survive disruption, according to analysis by GlobalData.

From automation and seamless connectivity to personalization, digital technologies are putting the automotive industry in a state of disruptive transition.

Against this backdrop, auto manufacturers need to explore new digital solutions across the value chain to conceive new models and survive in the rapidly transforming industry, says GlobalData, a data and analytics company. [Read more…] about Automotive manufacturers need digital transformation to survive disruption

Arch Systems partners with Flex for manufacturing data transformation

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Arch Systems has formed a partnership with Flex to develop systems to enable data transformation in its manufacturing operation.

The companies says that innovative data extraction from legacy and new machines will help drive production efficiencies, process automation and predictive analytics across Flex sites.

Arch Systems is a provider of a leading machine-data-sensing platform compatible with both legacy and new industrial machines. [Read more…] about Arch Systems partners with Flex for manufacturing data transformation

NXP and Microsoft demonstrate edge-to-cloud machine learning solution for predictive maintenance

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NXP Semiconductors has agreed a collaboration with Microsoft to bring artificial intelligence and machine learning capabilities for anomaly detection to Azure internet of things users.

By combining complementary strengths – NXP’s offline machine learning capability and embedded processing with Microsoft’s cloud expertise – the two companies jointly demonstrates a new Anomaly Detection Solution for Azure IoT at Microsoft Build in Seattle recently.

The solution consists of a small form factor, low power system-on-module powered by NXP’s i.MX RT106C Crossover Processors, a full suite of sensors, and an associated Anomaly Detection Toolbox.

[Read more…] about NXP and Microsoft demonstrate edge-to-cloud machine learning solution for predictive maintenance

Huawei links up with GE Digital to offer industrial cloud solution

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Huawei and GE Digital are partnering to jointly launch their industrial cloud-based predictive maintenance solution. 

In an interview with Robotics and Automation News, Catherine Du, Huawei’s director of marketing, said the company is looking to increase its share of the nascent but fast-growing sector of business.

“Huawei is one of the leading ICT vendors,” said Du. “We supply a wide range of technologies to the market, from Big Data to IoT, so we feel that now is the right time for us to reach out to the industrial space and build new partnerships.”

And although Huawei’s current focus is on the industrial market, the company is looking to promote its brand globally going forward, in the wider business-to-business market and in the consumer space, says Du.  [Read more…] about Huawei links up with GE Digital to offer industrial cloud solution

DataRobot surpass 110 million predictive models

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datarobot

DataRobot customers have surpassed 110 million predictive models using enterprise machine learning platform

Machine learning and data science startup, DataRobot, says its customers have developed more than 110 million models using the SaaS version of the DataRobot automated machine learning platform.

The company says it serves as validation of the company’s mission to “bring automated machine learning to every corner of the enterprise” and made the announcement at the Strata + Hadoop World session, Data Science for Executives, delivered by DataRobot CEO and co-founder, Jeremy Achin.

Enterprises across every industry are embracing machine learning to remain competitive in today’s data-driven world. By allowing more professionals across an organization to use advanced algorithms to derive insights from data, machine learning is helping to alleviate issues caused by a critical shortage of data scientists. [Read more…] about DataRobot surpass 110 million predictive models

AI knew Trump would win

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Artificial intelligence systems can predict election results better than traditional pollsters, according to a report on em360tech.com. 

Artificial intelligence systems predicted a win for Donald Trump, of the Republican Party, over Hillary Clinton, of the Democrats, in the US presidential elections held yesterday.

Most traditional opinion pollsters rely on directly asking people about their voting intentions and behaviour.  [Read more…] about AI knew Trump would win

Opinion: ‘How data science and machine learning will save lives on the roads’

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toyota car
Toyota is recalling 5.8 million cars globally to replace potentially faulty airbag inflators made by Takata, according to the IBTimes.co.uk

By Sundeep Sanhavi, CEO of Data RPM, who claims data science and machine learning will save lives in this exclusive article for Robotics and Automation News

Recalls happen all too frequently, often as a result of some horrendous accident or incident. But there are ways in which the predictive qualities of data science and machine learning can relegate recalls to the annals of history. 

“A new car built by my company leaves somewhere traveling at 60 mph,” explains the Narrator in the film adaptation of Chuck Palahniuk’s Fight Club.

“The rear differential locks up. The car crashes and burns with everyone trapped inside. Now, should we initiate a recall? Take the number of vehicles in the field, A, multiply by the probable rate of failure, B, multiply by the average out-of-court settlement, C. A times B times C equals X. If X is less than the cost of a recall, we don’t do one.”

Edward Norton’s chilling performance aside, vehicle recalls are a persistent problem. Their persistence – given the increasing availability of improved technology and insight – is baffling.  [Read more…] about Opinion: ‘How data science and machine learning will save lives on the roads’