• How Artificial Intelligence Will Revolutionize the Way Video Games are Developed

    In this contributed article, co-founder of Hackr.io, discusses how artificial intelligence will revolutionize the way video games are developed. AI has brought a change in the gaming industry ever since its inception. Over the years, we have seen drastic changes in the way games are developed. In today’s technologically advanced world, games have become more challenging and exciting by providing human like experiences.

Featured Stories

  • Narrow AI Helps Call Centers Cope During COVID-19

    In this special guest feature, Michael Coney, Senior Vice President & General Manager at Medallia, highlights how contact centers are turning to narrow AI, an AI system that is specified to handle a singular task, such as to process hundreds of hours of audio in real time and create a log of each customer interaction. Thousands of hours of calls can be processed and logged in a matter of a few hours.

  • Barriers Organizations Face when Integrating AI

    In this contributed article, Christian Thun, leader of the engineering team at Agiloft, discusses the barriers organizations face when adopting AI. The challenge organizations face today is to make all business process data available in one centralized location where it can be accessed, cleaned, normalized, and analyzed by AI for decision making.

  • Why Data Science Isn’t an Exact Science

    In this contributed article, Luming Wang, CTO, EVP of Software at ElectrifAi, explains that the theory behind data science was never meant for small data sets and scaling to do so comes with a host of issues and irregularities. Luming also notes data typically has many, sometimes infinite dimensions and, while organizations are trusting algorithms and models to make sense of their data lakes, finding a singular truth is a rare occurrence.

Featured Resource

Interview: Global Technology Leader PNY

The following whitepaper download is a reprint of the recent interview with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.

All Recent News

Industry Perspectives

  • AI and Ethics: The Path Forward

    In this special guest feature, Dr. John Bates, CEO of Eggplant, believes that technology can’t be left to the whims of the free markets to determine what works. With regulation, we can build a world where we trust the machines, the data, and the results and we can help avoid a dystopian future. Implementing a bill of rights will ensure AI delivers a positive impact on society now and for decades to come.

  • The Future of Artificial Intelligence in a Post-COVID-19 World

    In this special guest feature, Betsy Hilliard, Principal Scientist at Valkyrie, offers three emerging trends showing how AI will play a major role in a post-COVID world and shape the business landscape moving forward. Valkyrie is a science-driven consulting firm that aims to solve organizational and global challenges through AI and machine learning.

RSS Featured from insideHPC

  • Virtual SC20 Retrospective: Thinkers’ Thoughts on HPC Today and Tomorrow
    Check out this assemblages’ reflections on last week’s virtual SC20. Their thoughts range from big-picture insights on how the event reflects the state of HPC to the keynotes, sessions and announcements they think were particularly notable (and worth going back and watching, if you missed them). Among the topics covered: The convergence of the Top500 […]

Editor’s Choice

  • The insideBIGDATA IMPACT 50 List for Q4 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…]

  • Hats Over Hearts

    It is with great sadness that we announce the death of Rich Brueckner. His passing is an unexpected and enormous blow to both his family and the HPC Community. Rich was an institution in the HPC community. You couldn’t go to an event without seeing his red hat bobbing in the crowd, usually trailed by a fast-moving video crew. He’d be darting into booths, conducting interviews, and then speeding away to his next appointment.

  • What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics

    In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.

  • 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.

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