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Improve Your Business with Modern Analytics Infrastructure

A new report from SAS explores how a modern analytics infrastructure and IT department can help you increase productivity, maintain the highest data quality through a standard data governance model, and make critical decisions faster and with more confidence.

D-Wave Breakthrough Demonstrates First Large-Scale Quantum Simulation of Topological State of Matter

D-Wave Systems Inc., a leader in quantum computing systems and software, published a milestone study demonstrating a topological phase transition using its 2048-qubit annealing quantum computer. This complex quantum simulation of materials is a major step toward reducing the need for time-consuming and expensive physical research and development.

Explore How to Detect and Address Machine Learning, AI Bias

Alegion is fully aware of the potential for machine learning bias because as they produce AI training data, the company is on the lookout for biases that can influence machine learning. A new white paper from Alegion, “Four Sources of Machine Learning Bias,” explores the four sources of AI bias, and how to mitigate these challenges for your AI systems. 

Ready, Set, Fail? Avoiding Setbacks in the Intelligent Automation Race

Corporate plans for AI likely to fail? A new study, “Ready, set, fail? Avoiding Setbacks in the Intelligent Automation Race” from our friends over at KPMG asserts that most corporate artificial intelligence projects underway or currently in the pipeline will fail.

Infographic: The Data Scientist Shortage

Statistics point to a promising career in data science for anyone with the skills and interest to pursue this field in the 21st Century, whether one wishes to start from the first year of university or redirect his or her track midway. Given the current employment crisis featured in the infographic below, developed by our friends over at the University of California, Riverside, even individuals who have pursued programming and technical programs at high school could be thrust into more demanding positions in the work place.

Building a Winning Data Science Team

In this contributed article, Brad Cordova, co-founder and CTO of TrueMotion, discusses the importance of building a winning data science team, including actionable tips drawn from his own experience on structure, investment and building a culture where data science thrives.

The Speed of Data: A Survey of Data Decision Makers

Streamlio, the intelligent platform for fast data, announced results of a new “Speed of Data” survey conducted with Dimensional Research. The survey of hundreds of corporate decision makers worldwide found near universal agreement about the criticality of faster data processing, along with a huge gap between where companies need to be and where they are today.

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

Coursera Expands Coursera for Business Features, Launches AI-powered Skills Benchmarking Tool

Coursera, an online learning leader, announced the launch of Skills Benchmarking, a powerful new Coursera for Business tool that enables organizations to measure how their talent stacks up against others in their industry as well as identify top performing individuals in a given competency area.

Where Do World Leading Companies Get Their AI Expertise From?

In this contributed article, Anna Klimenko, a technical writer at Greenice, discusses a topic on the mind of many companies – how to find AI technology talent. With the deficiency of AI specialists, there are several ways to build AI expertise in a big company. The most prominent university students, graduates and professors become targets for headhunters. Hiring rare specialists, educating own employees, acquiring AI startups and creating ML-as-a-service systems are the main methods that allow companies to get artificial intelligence expertise.