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Accelerating Training for AI Deep Learning Networks with “Chunking”

At the International Conference on Learning Representations on May 6, IBM Research will share a deeper look around how chunk-based accumulation can speed the training for deep learning networks used for artificial intelligence (AI).

Are Machines the Answer to More Personal Marketing?

In this contributed article, Mellissa Flowerdew-Clarke, Marketing Director UK & US for Dept, discusses how AI and machine learning are poised to curate the optimal ad experiences of the future. This piece covers various examples of how this tech allows for the ultimate in personalization. Mellissa also explores whether or not people really want this much personalization when it means having their data harvested. As AI and machine learning tech continue to develop, brands and consumers will need to decide whether the give and take is worth it for them.

TOP 10 insideBIGDATA Articles for April 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Advanced Performance and Massive Scaling Driven by AI and DL

In this contributed article, Kurt Kuckein, Director of Marketing for DDN Storage, discusses how current enterprise and research data center IT infrastructures are woefully inadequate in handling the demanding needs of AI and DL. Designed to handle modest workloads, minimal scalability, limited performance needs and small data volumes, these platforms are highly bottlenecked and lack the fundamental capabilities needed for AI-enabled deployments.

Overcoming Bias and Unlocking the Power of Programming Inclusivity

In this contributed article, Mariano Stampella, Business Developer at intive, argues that coding biases actually hold back technological process. Developing technology in a way that is inclusive is not only the right thing to do, but it will also enable innovation that has a far greater impact on society.

The Importance of Predictive Analytics in Higher Education

In this special guest feature, Brian Rowe, founder & CEO of Perceivant, explains how predictive analytics has evolved into a hot button topic among educators in order to better serve students by becoming more data-informed. This is a result of the intense pressure placed on universities to demonstrate an ROI for students as the U.S. dropout rate continues to be at an all-time high.

Intel IT Serves Up Innovative Applications of AI, Analytics and Collaboration

One telling sign that AI industry leading companies truly believe in the technologies they promoting across the globe is how much they’re using these same technologies internally. An excellent case-in-point is Intel IT, the IT services arm of giant Intel Corp.

When it Comes to ML/AI, One Size Does Not Fit All

In this special guest feature, David Winikoff, Senior Director, SteelCentral Product Management at Riverbed Technology, believes that as AI and Machine Learning go from hype to reality, organizations must be cautious in adopting too quickly, as one size does not fit all. Here’s why – data fuels the AI and Machine Learning engine to produce insights and information, and how an organization collects that data will determine its ability to gain actionable and valuable insights and predictive outcomes. As a result, organizations must very carefully select technologies and partners that best meet their specific needs to take full advantage of the opportunities AI and ML offer.

3 Non-Obvious Keys to Being AI-Ready

Data scientists know what they are doing, and most organizations have no cause to worry about the soundness of their machine learning (ML) algorithms. Where AI readiness typically lags is in other parts of the process. In most organizations today, the process of building, deploying and maintaining AI systems bears no resemblance to traditional IT. Alegion explores three key strategies your business can employ to be AI-ready.

Things Made Possible by the Machine Learning Revolution

In this contributed article, Joseph Feiman, PhD,, Chief Strategy Officer at WhiteHat Security, discusses the ways machine learning is changing the way we live by examining several touch points with which we can all identify.