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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.

The Parallel Universe of Dark Data and Dark Matter

In this contributed article, David Gingell, Chief Marketing Officer for Seal Software, takes a look at how all of the hype around dark data and AI-driven dark-analytics is missing the first crucial step, which is to identify what is real and what is useful, and for what application. While it may sound exciting, using AI to automatically process vast amounts of data in ultra-fast operations is not going to provide much insight.

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.

Top 5 Mistakes When Writing Spark Applications

In the presentation below from Spark Summit 2016, Mark Grover goes over the top 5 things that he’s seen in the field that prevent people from getting the most out of their Spark clusters. When some of these issues are addressed, it is not uncommon to see the same job running 10x or 100x faster with the same clusters, the same data, just a different approach.

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.

Three Ways Big Data Will Impact on marketing in 2018

In this contributed article, Mitesh Patel is a Business Growth Strategist at a leading mobile application development company Solution Analysts, discusses the vital role big data takes in the marketing playbook as we move into 2018.

Driving Business Value: Transforming Financial Services with AI Technologies

As the financial industry increasingly realizes the impact of faster analytical insights on overall business strategy, artificial intelligence (AI) techniques like machine learning are permeating nearly every industry. Download the new white paper from HPE and NVIDIA to learn how to transform financial services with AI technologies, as well as drive business value with NVIDIA GPU-accelerated deep learning. 

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.

The Future of Artificial Intelligence – What Will it Look Like?

In this contributed article, Anabel Cooper, a 26-year old editor and writer from Harlow with a deep interest in technology, takes a look at the future of artificial intelligence and what it will look like.

Using Artificial Intelligence to Analyze All Fashion Customer Data

“Can a global brand really live up to the needs of diverse cultures from Latin America to Eastern Europe all the way to Asia without putting its identity on the line?” (McKinsey) The differences in expectations and desires from country to country are massive. It is a big challenge for global retailers to properly segment and market to their increasingly diverse international buyers.”