3 Kinds of Big Data Skills All Businesses Should Hire For

When businesses go about things right, big data is an extremely valuable tool that can provide specific types of analytics that help those companies find or maintain success. However, without employees on staff who know how to interpret the data and apply it to a company’s everyday operations and future plans, even the most powerful big data resources are largely

Machine Learning Tools You Should Know About

rtificial intelligence, big data, and hybrid cloud computing have made a significant impact on the business industry. Joining this list is machine learning. This new advancement in business technology provides machines with the ability to learn data and store information without being specifically programed to do so. Machine learning tends to focus on developing computer programs that are able to

Differentiating between AI, Machine Learning and Deep Learning

This article is part of a special insideHPC report that explores trends in machine learning and deep learning. The complete report, available here, covers how businesses are using machine learning and deep learning, differentiating between AI, machine learning and deep learning, what it takes to get started and more.  Download the full report here. With all the quickly evolving jargon in the industry today,

Applying Bayes Theorem to a Big Data World

Bayes Theorem One of the challenges in analyzing Big Data is its volume—there is just so much of it. Then mix in high velocity, or fast data, and standard analytical methodologies to make sense of its breakdown, and it becomes even more cumbersome and ineffective. Machine-learning techniques that self-adjust and improve over time are a more cost-effective approach than a

Musk’s Latest Startup Eyes Brain-Computer Links

Elon Musk, the auto and space entrepreneur and severe critic of artificial intelligence, is forming a new venture that reportedly will seek to develop an interface between the human brain and computers. The initial goal is aiding the disabled, but the visionary inventor reportedly views the AI startup as a way of forging non-verbal forms of communication while at the

The Next Data Revolution: Intelligent Real-Time Decisions

Over the past decade, big data analysis and applications have revolutionized practices in business and science. They enabled new businesses (e.g., Facebook, Netflix), to disrupt existing industries (e.g., Airbnb, Uber), and accelerated scientific discovery (genomics, astronomy, biology). Today, we are seeing glimpses of the next revolution in data and computation, driven by three trends. First, there is a rapidly growing

‘Narrative Analytics’ Targets Consumer Beliefs

In the latest attempt to figure out what consumers want and how much they are willing to pay to get it, a “narrative analysis” platform launched this week crunches “cross-platform data sets” to divine consumer “beliefs and motivations.” San Francisco-based Protagonist (formerly Monitor 360) said this week its platform leverages machine learning and natural language processing to gauge the “narratives

Meet Ray, the Real-Time Machine-Learning Replacement for Spark

Researchers at UC Berkeley’s RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Called Ray, the framework is ostensibly a replacement for Spark, which is seen as too slow for some real-world AI applications, and should be ready for production use in less