• Interview: Mike Hudy, Ph.D., Chief Science Officer at Modern Hire

    I recently caught up with Mike Hudy, Ph.D., Chief Science Officer at Modern Hire, to discuss the use of AI in the hiring process. Hint: it includes a robust and specific code of ethics, implementation with a specific problem in mind, and lots of transparency.

Featured Stories

  • On the Edge of Something Big

    In this contributed article, Tim Parker, VP of Network Strategy at Flexential, provides the top four reasons your organization needs an edge strategy now. Edge computing enables efficient data processing near the source to minimize latency, reduce bandwidth usage and lower costs while improving compliance, security and resiliency.

  • insideBIGDATA Latest News – 2/24/2020

    In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

  • How AI is Shifting Workplace Dynamics and Winning Top Talent

    In this special guest feature, Claus Jepsen, Deputy CTO at Unit4, AI has risen as a main focus point for its ability to accelerate processes and help organizations remain competitive in today’s unpredictable landscape. However, the benefits of AI go far beyond improved business operations and its potential to improve the internal workplace experience is often overlooked.

Featured Resource

Understanding Intention – Using Content, Context, and the Crowd to Build Better Search Applications

This white paper by enterprise search specialists Lucidworks, points out that unlike consumer search, which has become a seamless part of our everyday lives, the enterprise side might as well still be running Windows 95. Imagine if Amazon, Google, or Facebook treated every user the same, regardless of who they are, where they are, what they’re searching for, and what they’ve clicked. Your users expect that same sophistication in their enterprise apps.

All Recent News

Industry Perspectives

  • 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.

  • Businesses Building AI Applications Are Shifting to Open Infrastructure

    In this special guest feature, Ami Badani, CMO of Cumulus Networks, suggests that as AI requires a lot of data to train algorithms in addition to immense compute power and storage to process larger workloads when running these applications, IT leaders are fed up with forced, expensive and inefficient infrastructure, and as a result they are turning to open infrastructure to enable this adoption, ultimately transforming their data centers.

RSS Featured from insideHPC

  • DDN and Atos to Boost Weather Prediction Capabilities at ECMWF
    Today DDN announced the company has collaborated with Atos to enhance weather prediction capabilities for the European Centre for Medium-Range Weather Forecasts (ECMWF). ECMWF will be equipped with an enhanced computing capacity to help predict the occurrence and intensity of extreme weather events significantly ahead of time, with an improved infrastructure comprised of more than […]

Editor’s Choice

  • The insideBIGDATA IMPACT 50 List for Q1 2020

    The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting [READ MORE…]

  • Field Report: KDD 2019

    As a very long time member of the ACM and their SIGKDD group, I’d always wanted to attend a KDD conference (first one occurred in 1995). This year I received a gracious invitation to attend KDD2019 in Anchorage, Alaska, August 4-8. It satisfied two of my bucket list items: witnessing a KDD first-hand and also visiting Anchorage. I was not disappointed with the experience! What follows is my “Field Report,” a travel log if you will, chronicling my observations, both technical and cultural. KDD is touted as being “the premier interdisciplinary conference bringing together researchers and practitioners from data science, [READ MORE…]

  • 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.

  • Field Report: H2O World 2019 San Francisco

    I was pleased to be on-hand for the recent (Feb. 4-5) H2O World 2019 conference in beautiful San Francisco. This was my first H2o.ai conference and I was looking forward to drilling down into their popular open source solutions for data scientists including the H2O machine learning platform, Sparkling Water machine learning platform on Spark, H2O4GPU accelerated AI for GPUs, as well as the groundbreaking Driverless AI automatic machine learning (AutoML) platform. With all this leading-edge technology and resulting industry buzz, I can see why the company recently ranked #9 on insideBIGDATA’s IMPACT 50 list of the industry’s most impactful [READ MORE…]

  • The Difference Between Data Science and Data Analytics

    In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business.

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