Sign up for our newsletter and get the latest big data news and analysis.

Teacher Pay is Stagnating. Data and Analytics Could Give it a Boost

In this special guest feature, University of San Diego Assistant Professor in Economics, Alison Sanchez, argues that economic questions like how to increase teachers’ pay can be answered through large-scale data analysis. There is not one single answer or explanation behind the widespread salary drop for teachers, but data and analytics can reveal individual causes of teacher pay stagnation and provide customized solutions to address them.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – January 2020

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.

Researcher Develops Algorithm to Make Artificial Intelligence Fairer

A researcher from Queen’s University Belfast has developed an innovative new algorithm that will help make artificial intelligence (AI) fairer and less biased when processing data. Companies often use AI technologies to sift through huge amounts of data in situations such as an oversubscribed job vacancy or in policing when there is a large volume of CCTV data linked to a crime.

Do You Trust and Understand Your Predictive Models?

To help practitioners make the most of recent and disruptive breakthroughs in debugging, explainability, fairness, and interpretability techniques for machine learning, our friends over at H2O.ai have written and exciting eBook “An Introduction to Machine Learning Intrepretability Second Edition.” This report defines key terms, introduces the human and commercial motivations for the techniques, and discusses predictive modeling and machine learning from an applied perspective, focusing on the common challenges of business adoption, internal model documentation, governance, validation requirements, and external regulatory mandates.

Report Reveals Business-Critical Cloud Adoption for Analytics and AI on the Rise, Yet Challenges Remain

Trifacta, a leader in data preparation and data wrangling, released its “Obstacles to AI & Analytics Adoption in the Cloud” report, which reveals inefficiencies that are hindering analytics and artificial intelligence (AI) adoption in the cloud. The research, which surveyed 646 data professionals across different industries and titles, examines how organizations are handling the increased move of data to the cloud, the obstacles facing data cleaning and analytics and the time constraints endured when preparing data for analytics, AI and machine learning (ML) initiatives.

New Research from Accenture and Qlik Shows the Data Skills Gap is Costing Organizations Billions in Lost Productivity

A new report from Accenture (NYSE: ACN) and Qlik, titled “The Human Impact of Data Literacy” and conducted on behalf of The Data Literacy Project, found that while most organizations understand the incredible opportunity of data, a gap has emerged between organizations’ aspirations to be data-driven and their employees’ ability to create business value with data.

Infographic: It’s 2020, is your business AI-ready?

60% of business leaders urgently need a strategy for deploying artificial intelligence in their organizations, but only half of their organizations have a plan. This infographic by our friends over at Noodle.ai outlines what AI can do for businesses and how to go about implementing a plan.

Beyond the AI Hype: Four Factors Businesses Should Consider Before Investing in AI

Despite significant hype, most companies still struggle with how to successfully integrate artificial intelligence into their businesses, according to Lux Research’s new report on the state of AI and how companies can improve decision-making around AI.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2019

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.

30 Influential AI Presentations from 2019

Our friends over at RE•WORK put on some amazing AI summits around the country and the world. The company has graciously made some of their top presentations from 2019 available for the data science community to freely view.