Robotics & Automation News

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predictive

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’

Making sense of big data: Graph technology and machine learning

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Machine learning and graph technology

Jonathan Wilkins, marketing director at EU Automation, looks at how graph technology and machine learning can be used to make sense of big data in the manufacturing industry

The theory of six degrees of separation, first proposed in 1929, suggested that every individual in the world was connected to anyone else in no more than five links. 

Today, social networking tools and graph technology can accurately map and extract valuable insights from the relationships between various entities in a network. 

Networks can also be analysed by machine learning, a technique in which a computer can adapt its own algorithms.  [Read more…] about Making sense of big data: Graph technology and machine learning