Featured Stories

  • Embracing and Leveraging the Data-Driven Pressure in Industry 4.0

    In this special guest feature, John Joseph, CEO & Co-founder of Datanomix, explores why real-time actionable manufacturing data is needed for the entire organization to determine the true quote to cost value, how leveraging data analytics that can be learned, consumed, and responded to in seconds, not minutes or hours will set factories ahead – especially post COVID-19, and how to leverage data to make smarter business decisions and better quote to cash estimates.

  • AI Under the Hood: FunCorp.

    In this new edition of our popular “AI Under the Hood” column, FunCorp Co-founder and CIO Denis Litvinov does a deep dive into his company’s use of AI on social media networks. AI is a key component of the popular social networks you use every single day. FunCorp develops and operates UGC services for different geo and audience niches.

  • KDD 2020 Celebrates Recipients of the SIGKDD Best Paper Awards

    KDD 2020, the premier interdisciplinary conference in data science (which took place virtually Aug. 23-27, 2020), announced the recipients of the SIGKDD Best Paper Awards, recognizing papers presented at the annual SIGKDD conference that advanced the fundamental understanding of the field of knowledge discovery in data and data mining. Winners were selected from more than 2,000 papers initially submitted for consideration to be presented at the conference.

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

  • MLOps Graduates to Enterprise Model Management (and what that means for global enterprise)

    In this special guest feature, Mrinal Chakraborty, DISC Solution Leader at Pactera EDGE, discusses six core aspects of MLOps which are augmenting Enterprise Model Management. The MLOps market will be over $4 Billion in just a few years, and promises to be a major component of the AI solution landscape shortly – but many enterprises are slow to evolve to machine learning lifecycle management which promises to make ML more reliable by defining the processes of its development and deployment.

  • Starting A Successful AIOps Initiative

    In this special guest feature, Hari Miriyala, VP Software Engineering at cPacket Networks, discusses how many enterprises are considering or deploying AI/ML tools to make their IT team more efficient, reduce troubleshooting time, or improve their organization’s security. But without the right foundation of accurate, precise and consistent input data, this move to AIOps provides little value.

RSS Featured from insideHPC

  • Altair Acquires HPC I/O Diagnostics Specialist Ellexus
    Altair has announced its second acquisition in two days. The company today announced the acquisition of Ellexus, an input/output (I/O) analysis tool designed to help customers address issues quickly, improving speed accuracy and cloud readiness. Ellexus software products, Mistral and Breeze, are used for I/O diagnostics, optimization, and dependency detection by HPC administrators of large enterprises. […]

Editor’s Choice

  • The insideBIGDATA IMPACT 50 List for Q3 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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