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Sentience: Reimagine What’s Next for Big Data in the era of AI

In this special guest feature, Oliver Ratzesberger, Chief Product Officer for Teradata, discusses his new book titled “The Sentient Enterprise” which highlights the future of business decision-making, analytics, AI and deep learning.

Quadcopter Navigation in the Forest using Deep Neural Networks

In the video presentation below, a group of deep learning researchers study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; the team proposes a different approach based on a Deep Neural Network used as a supervised image classifier.

How Self-Learning Programs Help Businesses Save Time and Money

In this contributed article, technology writer and blogger Kayla Matthews points out that AI and machine learning can learn from experiences without constant input from programmers, and as a result businesses are increasingly looking for ways to use them to make their operations more efficient and cost-effective. Here is a shortlist of some ways that self-learning programs help businesses save time and money.

Book Review: Learning TensorFlow

Deep Neural Networks (DNNs), upon which deep learning is based, are trained with large amounts of data, and can solve complex tasks with unprecedented accuracy. TensorFlow is a leading open source software framework that helps you build and train neural networks. Here’s a nice resource to help you kick-start your use of TensorFlow – “Learning TensorFlow” by Tom Hope, Yehezkel S. Resheff and Itay Leider.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2017

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Beyond Big Data: Why AI Requires Getting Small Data Right

In this special guest feature, Maciej Gryka, Head of Data Science at Rainforest, discusses why big data in the context of AI leads us to ask some serious questions about the future of big data. Data scientists often wonder whether we need big data as much as some think. In many cases the answer is “no” and instead of going big, what we really need to be doing is thinking smaller. Read on to learn why.

Artificial Intelligence is Innovating Your Healthcare Needs in 2018

In this contributed article, freelance human Avery Phillips takes a look at how artificial intelligence (AI) is making significant inroads into healthcare innovation as we move into 2018. One of the biggest benefits is that healthcare providers can use this technology to help promote better lifestyle choices to their patients and others.

Top 10 2017 Big Data White Papers: Data Science, Machine Learning, AI, Deep Learning & More

In this continuing regular feature, we give all our valued readers an annual heads-up for the top 10 most downloaded articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many members of our audience that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

Where Are We with Computer Vision?

In this article, I’d like to share a nice summary of the state of computer vision from Course 4 “Convolutional Neural Networks” from the new Deep Learning Specialization series on Coursera. Dr. Andrew Ng provides some compelling observations about deep learning and computer vision with the goal of mapping out the future of this increasingly popular technology.

Study on AI and the Future of Sales

Whether it’s redefining the world of marketing, finance or customer support, it is no secret that artificial intelligence (AI) is changing the way we work. Sales, as both a function and a profession, is no exception to the sea change. Our friends over at Cien produced a global study: The Future of Sales that reveals how attitudes, perception and behavior of high tech sales professionals is not what is often touted in the media.