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AI Study: The Coasts Are Excited, The Midwest & The South Are Not

Conversica, a leader in conversational AI for business, released the results of its Regional AI Adoption study that polled residents across the United States to see how they are currently using AI and how excited they are about the prospects of artificial intelligence helping to solve local problems. Results of the study show that Americans feel optimistic about AI and hope that it will someday help to address homelessness, relieve traffic and cure diseases—although priorities vary by location and generation.

2018 State of Embedded Analytics Report

The 2018 State of Embedded Analytics Report by Logi Analytics explores the top benefits of embedded analytics, the latest trends, advantages of different development methods, and what the future of analytics looks like. Logi surveyed more than 500 people who shared their perspectives on how they are embedding analytic capabilities to meet ever-changing market needs.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – May 2018

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.

Data Science 101: Handling Missing Data (Revisited)

I recently received the following question on data science methods from an avid reader of insideBIGDATA who hails from Taiwan. I think the topics are very relevant to many folks in our audience so I decided to run it here in our Data Science 101 channel. The issue of missing data is one most data scientists see quite frequently.

Survey: Enterprise IT Professionals Share Views on the Maturity of Their Big Data Deployments

Kyvos Insights, a big data analytics company, shared the results of a recent survey of information technology (IT) professionals at enterprises in the U.S. that explores their thoughts on, and experiences with, big data and business intelligence (BI) on big data adoption.

Surface Reconstruction Based on Neural Networks

Surface reconstruction is an important trend in 3D scanning. The problem is to recreate surfaces from a given point cloud within the shortest possible time and with a given quality criteria. There is a set of different approaches for solving this problem, which includes Self-Organized Maps, Bayesian reconstruction and Poisson reconstruction. The purpose of this article highlight a paper, “Surface Reconstruction Based on Neural Networks” that analyzes and compares results obtained with the usage of two self-organizing map types.

Building Neural Network Models That Can Reason

In this lecture, Christopher Manning, Thomas M. Siebel Professor in Machine Learning and Professor of Linguistics and of Computer Science, at Stanford University presents: “Building Neural Network Models That Can Reason.” Deep learning has had enormous success on perceptual tasks but still struggles in providing a model for inference. To address this gap, the presenter has been developing Memory-Attention-Composition networks (MACnets).

Interview: John Hart, Professor of Computer Science at University of Illinois

I recently caught up with John Hart, Professor of Computer Science at University of Illinois, to discuss his university’s new Master of Computer Science in Data Science (MCS-DS) degree program. The completely online degree allows students to learn about new statistical and computational tools that are transforming business and society from the Illinois faculty who are pioneering them. Students discover Data Science: the art of extracting new knowledge and finding meaningful information in a massive sea of data.

Survey: Only 7% of Businesses GDPR-compliant as Deadline Looms, Data Privacy Gains Prominence

In February, SAS conducted a global survey of 183 business people in a wide variety of industries who have a role in preparing their organizations for GDPR. The survey highlights the biggest challenges and opportunities organizations face on the road to GDPR compliance.

Survey: Companies are Bullish on Cloud Analytics, But Need to Speed Up the Pace

A majority of the largest companies in the world (83 percent) agree that the cloud is the best place to run analytics, according to a new survey by Vanson Bourne on behalf of Teradata, a leading cloud-based data and analytics company. In the next five years, by the year 2023, most organizations want to run all of their analytics in the cloud. But, an overwhelming 91 percent say that analytics should be moving to the public cloud at a faster rate.