by Ronald van Loon Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention,Continue reading… What Skills Do I Need to Become a Data Scientist?
Guest Post by Laura Mauersberger on 27 June 2017 This is why we thought it would be a good idea to write a blog on the subject. WHAT IS ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING? Both terms pop up frequently now adays, expeciallyContinue reading… The difference between Artificial Intelligence & Machine Learning
June 15, 2017 Garry Kasparov and DeepMind’s CEO Demis Hassabis discuss Garry’s new book “Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins ”, his chess match with IBM Deep Blue and his thoughts on the future of AIContinue reading… Man versus Artificial Intelligence: From Deep Blue to DeepMind in 20 Years
Increasingly, connected systems and devices are generating data that produce insights for improving business processes and consumer experiences. IDC predicts that by the year 2020 there will be 44 zettabytes (that’s 44 x 10) of information, spawned partly by consumerContinue reading… Leveraging Data Analytics and Internet of Things in Your Digital Transformation
What are Tree Methods? Tree methods are commonly used in data science to understand patterns within data and to build predictive models. The term Tree Methods covers a variety of techniques with different levels of complexity but my aim isContinue reading… Making data science accessible – Machine Learning – Tree Methods
Alexa has evolved beyond the Amazon Echo into one of the hottest new platforms in tech. Learn how developers and businesses can leverage the technology.
The launch of Amazon Echo and its voice service, Alexa, brought virtual assistants out of our smartphones and into our homes and offices. While the Echo is a solid product, Alexa as a voice platform is where the real value is.
After starting off with 100 things the Echo could do, the number of available Alexa Skills now tops 7,000. CES 2017 showed how eager tech companies are to integrate Alexa, as the Amazon virtual assistant was everywhere at CES, despite the fact that neither the Echo or Alexa had booth space on the show floor.
As such, the interest in developing tools for the platform has skyrocketed, with many developers eager to jump into the ecosystem. To help developers and companies better understand how to get started working with Alexa and its related services, we’ve pulled together the most important details and resource
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Shutterstock Big data is imperative to business—and the amount of data in circulation and storage needed increases daily. Most forward-thinking businesses recognize the value of this data and leverage it as a decision-making factor for business strategy, but they don’tContinue reading… Data as a Service: The Big Opportunity for Business
Take a look at the following two pictures. One was painted by contemporary artist Leonid Afremov, and the other was painted by an algorithm mimicking his style. The first image is the Afremov’s Rain Princess, and the second image isContinue reading… An AI That Can Mimic Any Artist
In 1872 a British general named Alexander Cunningham, excavating an area in what was then British-controlled northern India, came across something peculiar. Buried in some ruins, he uncovered a small, one inch by one inch square piece of what heContinue reading… Machine learning could finally crack the 4,000-year-old Indus script
#KristenStewart directs new movie, ‘Come Swim’, that uses #machinelearning technique called ‘style transfer’-then helps write paper on #ArtificialIntelligence. Badass. Here’s a sentence you don’t get to read everyday: Kristen Stewart has surprised the artificial intelligence community by publishing a paperContinue reading… Stewart directs new movie, ‘Come Swim’, that uses machinelearning technique