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The Harvard Data Science Initiative and The MIT Press Launch the HARVARD DATA SCIENCE REVIEW

The Harvard Data Science Initiative (HDSI) and the MIT Press are pleased to announce the launch of the Harvard Data Science Review (HDSR). The multimedia platform will feature leading global thinkers in the burgeoning field of data science, making research, educational resources, and commentary accessible to academics, professionals, and the interested public. With demand for data scientists booming, HDSR will provide a centralized, authoritative, and peer-reviewed publishing community to service the growing profession.

Why are there So Many Monitoring Tools?

In this contributed article, Katy Farmer, developer advocate at InfluxData, discusses the state of monitoring tools, what monitoring really means, and how you can find the right monitoring tools.

5 Big Data Vulnerabilities You Could Be Overlooking

In this contributed article, technology writer and blogger Kayla Matthews offers 5 Big Data vulnerabilities you could be overlooking. This article answers: What vulnerabilities exist? What could you be missing? How can you protect your organization, your network and your data?

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.

Who Tracks You While You Travel and What Happens With That Data?

In this contributed article, Magnolia Potter ponders the questions: who is tracking you when you take a vacation or go on a business trip? How is your data used, and what can you do to regain some control over how you’re tracked and what information is being collected? Being aware of how your data is collected can help you be more conscious of your behaviors while traveling.

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).

Proscia Launches AI-Powered Digital Pathology Solution for Dermatopathology

Proscia, a leading provider of digital pathology software, released DermAI™, the first in its series of AI applications that advance the practice of pathology. A module on Proscia’s Concentriq™ platform, DermAI leverages deep learning to pre-screen and classify skin biopsies to help reduce costly errors and improve laboratory quality and efficiency as the number of […]