21 hot programming trends—and 21 going cold Programmers love to sneer at the world of fashion where trends blow through like breezes. Skirt lengths rise and fall, pigments come and go, ties get fatter, then thinner. But in the world of technology, rigor, science, math, and precision rule over fad. That’s not to say programming […]
IDG Contributor Network: Why data democratization is crucial to your business In the Information Age, the power of data has been mostly kept in the hands of a few data analysts with the skills and understanding necessary to properly organize, crunch, and interpret the data for their organization. This approach was born out of necessity—most […]
Google Cloud tutorial: Get started with Google Cloud When people think of the word Google, they think about search and the immense computational infrastructure that converts your words into a list of websites that probably have exactly what you’re looking to find. It took Google years to hire the engineers, design the custom computers, and […]
IDG Contributor Network: Data governance 2.0 At Bristol-Myers Squibb, I have the privilege of working for a company singularly focused on our mission to discover, develop, and deliver innovative medicines that help patients prevail over serious diseases. Accurate, high quality, and trustworthy data is central to our work in R&D, manufacturing, sales and marketing, and […]
What is big data? Everything you need to know There’s data, and then there’s big data. So, what’s the difference? Big data defined Big data in general refers to sets of data that are so large in volume and so complex that traditional data processing software products are not capable of capturing, managing, and processing […]
IDG Contributor Network: Harmonizing big data with an enterprise knowledge graph One of the most significant results of the big data era is the broadening diversity of data types required to solidify data as an enterprise asset. The maturation of technologies addressing scale and speed has done little to decrease the difficulties associated with complexity, […]
IDG Contributor Network: AI disruptions and the power of intelligent data Machine learning and Artificial Intelligence brings in transformations through practically every domain and industry in an unprecedented way. Fueled by ever increasing computing resources, evolution of faster algorithms, developments in machine learning backed by vast amounts of data—AI is bringing rapid changes the existing […]
TensorFlow review: The best deep learning library gets better If you looked at TensorFlow as a deep learning framework last year and decided that it was too hard or too immature to use, it might be time to give it another look. Since I reviewed TensorFlow r0.10 in October 2016, Google’s open source framework for […]
IDG Contributor Network: Dawn of intelligent applications Data remains a foundational element of computing. Recently, Hadoop and big data have been a central part of data progression, allowing you to capture data at scale. But companies now look to the expanding use of cloud computing and machine learning to create more intelligent applications. This new […]
IDG Contributor Network: Dataops: agile infrastructure for data-driven organizations About a decade ago, the software engineering industry reinvented itself with the development and codification of so-called devops practices. Devops, a compound of “development” and “operations,” refers to a set of core practices and processes that aim to decrease time to market by thoughtfully orchestrating the […]
IDG Contributor Network: AI: the challenge of data In the last few years, AI has made breathtaking strides driven by developments in machine learning, such as deep learning. Deep learning is part of the broader field of machine learning that is concerned with giving computers the ability to learn without being programmed. Deep learning has […]
Julia vs. Python: Julia language rises for data science Of the many use cases Python covers, data analytics has become perhaps the biggest and most significant. The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient. But for the developers behind the […]
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