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BigData News Wednesday, February 14

BigData News TLDR / Table of Contents

  • The Industrial Internet of Things market: state and outlook 2021
    • The Industrial Internet of Things market is growing fast with double-digit CAGR until at least 2021. Overview and IIoT advice.
    • Industrial Internet, Things market, , ,
  • Machine Learning Exercises in Python: An Introductory Tutorial Series
    • This post presents a summary of a series of tutorials covering the exercises from Andrew Ng’s machine learning class on Coursera. Instead of implementing the exercises in Octave, the author has opted to do so in Python, and provide commentary along the way.
    • Andrew Ng, logistic regression, linear regression, multivariate linear regression, Machine Learning class
  • The future of work: Technology, jobs and augmented intelligence
    • Work is in flux, with artificial intelligence and automation imposing rapid change. Here’s what this technological disruption means for the future of work.
    • bank teller, new jobs, bank teller employment, simplistic cash-handling job, bank teller numbers
  • Free ebooks: Machine Learning with Python and Practical Data Analysis
    • Two free ebooks: “Building Machine Learning Systems with Python” and “Practical Data Analysis” will give your skills a boost and make a great start in the New Year.
    • Building Machine Learning, Machine Learning Systems, Practical Data Analysis, free ebooks, free eBook
  • Why AI Companies Can’t Be Lean Startups –
    • Recent breakthroughs in machine learning and AI have unleashed a host of new experiences that can be delivered to customers, and companies both large and small look to capitalize.
    • startups, data network effects, machine learning-first startups, AI, AI startups
  • Big Data and Employment Decision-Making: How Analytics Can Add Value
    • Analytics solutions can improve HR decision-making in hiring performance evaluations advancement and policy implementation.
    • costly legal disputes, important asset, data analytics, employment decisions, employment law
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  • With strong alliances between leading Industrial Internet of Things (IIoT) players, proven IIoT applications (and use cases) that inspire companies across several industries and a clear focus on the improvement of operational efficiency, the IIoT market is expected to grow with a double-digit compound annual growth rate (CAGR) until at…
  • According to data from Dell, the benefits reported by manufacturing executives who deployed Industrial Internet of Things applications are clear: – – It isnt too late to attach intelligent IoT gateways to existing industrial assets in the combination of IT and OT, what the IIoT is about, and let them…
  • The manufacturing segment is the largest segment in the Industrial Internet of Things market and Industry 4.0 is seen as the main enabler of this big increase.
  • We mentioned the manufacturing industry earlier for a reason as it will be the Industrial Internet of Things market segment that will be generating the highest revenue in the forecast period and for IndustryARC Industry 4.0 is key in it.
  • The previously mentioned data from Dell show that, while 33 percent of manufacturers who use IIoT report improved asset utilization, 49 percent achieved improved process performance and 36 percent reported lower machine and asset downtime, there are three key barriers blocking the adoption of the Industrial Internet of Things: -…

Tags: Industrial Internet, Things market, , ,

  • This post presents a summary of a series of tutorials covering the exercises from Andrew Ng’s machine learning class on Coursera.
  • In part 1 of my series on machine learning in Python, we covered the first part of exercise 1 in Andrew Ng’s Machine Learning class.
  • In part 2 of the series we wrapped up our implementation of multivariate linear regression using gradient descent and applied it to a simple housing prices data set.
  • In part three of this series we implemented both simple and regularized logistic regression, completing our Python implementation of the second exercise from Andrew Ng’s machine learning class.
  • In part four we wrapped up our implementation of logistic regression by extending our solution to handle multi-class classification and testing it on the hand-written digits data set.

Tags: Andrew Ng, logistic regression, linear regression, multivariate linear regression, Machine Learning class

  • As Salesforces Futurist, I spend a lot of time forward-thinking and analysing trend data, and have shared my thoughts on what this technological change means for the future of work and how to navigate it.
  • I appreciate why theres anxiety, but if we look at history as a predictor of the future, this simplistic idea that technology steals jobs is unfounded.
  • Over time, new technologies have emerged and while they have replaced jobs, theyve also created more new jobs than those eliminated, and these new jobs have been of a higher value.
  • Yes, employment levels are fluctuating and the job of a bank teller has changed, but it has changed for the better.
  • This automation will clear a path for a new world of augmented intelligence, aided by the very technology people are fearful of.

Tags: bank teller, new jobs, bank teller employment, simplistic cash-handling job, bank teller numbers

  • Two free ebooks: Building Machine Learning Systems with Python and Practical Data Analysis will give your skills a boost and make a great start in the New Year.
  • Quite simply, its two free eBooks both of which will help you to give your skills a boost and start your New Years resolutions to learn something new a great head start.
  • And at 290 pages, this isnt just a quick introduction its a comprehensive and practical free Python eBook that might just prove invaluable to your data science skillset.
  • If you have any problems claiming your free eBook please contact here to download Building Machine Learning Systems with Python for free now!
  • Click here to download Practical Data Analysis with Python for free now!

Tags: Building Machine Learning, Machine Learning Systems, Practical Data Analysis, free ebooks, free eBook

  • Why AI Companies Cant Be LeanStartupsA Conversation with Matt Turck of FirstMark CapitalToday its impossible to read business news without seeing some mention of artificial intelligence.Recent breakthroughs in machine learning and AI have unleashed a host of new experiences that can be delivered to customers, and companies both large and…
  • Of the large companies working on AI today, which is worst positioned to deliver on its promises?Matt: Based on what I hear from the market, probably IBM.Largely because they have a very impressive marketing machine and big ambitions, and got themselves in a situation where they promised a lot and…
  • Sure, Im told people internally at Salesforce freaked out a little bit when Marc Benioff made all those big claims about Einstein [Salesforces new AI] last year, but part of it comes with the territory of big personalities.Connectivity to the startup ecosystem and a willingness to buy companies make a…
  • And of course, theyre also very acquisitive.the sharpest minds in the industry (not just in startups) are working on making neural networks function with smaller amounts of data thesedaysChallenge of securing access to proprietary datasetsSam: Its common knowledge that a huge amount of data is needed to execute on AI,…
  • What startups are building the next generation of powerful data network effects?Matt: I wrote a blog post about data network effects a little while back, its a topic I find fascinating.In theory, any machine learning company that can pool enough data from multiple users, run algorithms on pooled data set,…

Tags: startups, data network effects, machine learning-first startups, AI, AI startups

  • And as the use of data analytics continues to grow, more and more law firms are using Big Data to help employers manage more efficiently and accurately, thereby helping with critical labor and employment decisions and reducing the risk of costly legal disputes.
  • Data-driven analysis that sheds light into what employees are doing, how they work and how an organizations policies or practices impact them can be incredibly valuable, says Aaron D. Crews, chief data analytics officer at San Francisco-based Littler Mendelson, the largest U.S.-based law firm devoted exclusively to representing management in…
  • Of course, the insights derived from analytics in any space are only as good as the data being analyzed; incomplete data, or data which carries a significant bias, often results in bad or incomplete analysis.
  • However, as the use of Big Data continues to grow, employers are becoming increasingly comfortable with using these tools in ways that comply with the relevant laws that govern workplace data analytics to avoid the risk of costly litigation.
  • Labor and employment law is similar to other segments of the economy, in the sense that analytics will only grow in importance, says Crews.

Tags: costly legal disputes, important asset, data analytics, employment decisions, employment law

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