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State of Data Science, Engineering & AI Report – 2019

Our friends over at Diffbot, using the Diffbot Knowledge Graph, and in only a matter of hours, conducted the single largest survey of machine learning skills ever compiled in order to generate a clear, global picture of the machine learning workforce. All of the data contained in the “State of Data Science, Engineering & AI Report – 2019” was pulled from the company’s structured database of more than 1 trillion facts about 10 trillion entities (and growing autonomously every day).

Algorithms: Not Evil, Helpful

INFORMS member Gah-Yi Ban of the London Business School breaks down what algorithms are and how they are useful in a unique talk at a TEDx event. She compares algorithms to evil beings and says it’s a common misconception. Ban helps people understand the role of algorithms in our present lives and how we can shape their role in our future.

Intel’s AI Lab Presents Several Ground-breaking Research Papers

Researchers at Intel’s AI Lab recently presented several compelling research papers at the International Conference on Machine Learning (ICML) (June 10-15) and the Conference on Computer Vision and Pattern Recognition (CVPR) June 16-20.

How Would You Explain AI to a Second Grader?

Artificial Intelligence (AI) is a hot topic and articles written on the subject are often tailored to a tech audience. But what about people who are not technically proficient? How would you explain AI to them? Cupid Chan is CTO of Index Analytics and a Fellow at the University of Maryland. Recently, Cupid gave a presentation to the group called “How do I teach my second grader about AI?”

Infographic: Can AI Think Ethically?

Cities across the world are using — or banning because of concerns about bias — facial recognition technology, but is it possible for artificial intelligence to think ethically? We’ve written about the ethics of AI extensively here on insideBIGDATA. To further the conversation, the infographic below developed by our friends over at NowSourcing, Inc. outlines the roles AI can serve and how to build technology we can trust.

Leveraging Data, Blockchain and AI to Help Agriculture Meet Growing Global Demand

Given the scale of the world’s food supply, there aren’t many industries that lend themselves to the power of data science and analytics than agriculture. This is the thinking behind a new research paper from a group of data scientists who make a case for finding new ways to use blockchain, AI and API management to enable “smart agriculture.” The paper, “Agricultural Digital Transformation,” has been published in the OR/MS Today journal from the Institute for Operations Research and the Management Sciences (INFORMS).

Addressing Demographic Pay Gaps with Data-driven Solutions

In this special guest feature, Dr. Margrét Vilborg Bjarnadóttir, Assistant Professor of Management Science and Statistics at the University of Maryland Robert H. Smith School of Business, suggests that despite massive cultural and societal pushes for gender equality, the gender pay gap in the workplace remains as strong as ever. Data analysis and visualization could play a vital role in helping to resolve this important issue.

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

New Io-Tahoe White Paper Designed to Help Prepare for CCPA

There’s no denying it. Big data, and the resulting applications and technology have not only made consumers’ lives easier, but have also created new revenue streams for enterprises across all sectors. That said, the explosion of data has also created concerns around data privacy and cyber security, and has gotten the attention of regulators. Download the new report, “6 Steps: Getting Ready for CCPA,” courtesy of Io-Tahoe, to learn more about today’s new data privacy regulations to better protect your enterprise.

Survey Reveals Widespread Lack of IT Planning for AIOps

A recent survey of IT, business, security and operations executives shows that 76 percent of IT teams have not yet implemented artificial intelligence technologies to improve data center operations, despite the benefits of AIOps for business efficiency. In addition, just over half of survey respondents still have no budgets planned for AIOps projects in the next one to three years. Further, the survey reveals that most IT leaders are still struggling to implement effective strategies for AIOps due to a lack of clarity about their own technology expectations and business objectives.