• The 3 Pillars of Digital Experience

    In this contributed article, Katie Boschele, Product Manager at Lucidworks, offers three pillars to provide a useful framework for thinking about how your ecommerce platform needs to operate to compete in today’s market.

Featured Stories

  • Intel + Cornell Pioneering Work in the “Science of Smell”

    Nature Machine Intelligence published a joint paper from researchers at Intel Labs and Cornell University demonstrating the ability of Intel’s neuromorphic test chip, Loihi, to learn and recognize 10 hazardous chemicals, even in the presence of significant noise and occlusion. The work demonstrates how neuromorphic computing could be used to detect smells that are precursors to explosives, narcotics and more.

  • Chatbots for Recruiting

    Talent departments are spending $250 billion on recruitment, interviewing and candidate assessment solutions. But as employers invest in these disparate technologies, they sacrifice efficiency and deliver a disconnected experience throughout the talent lifecycle. Enter the AI chatbot. Phenom, a leader in Talent Experience Management (TXM), is a single platform that individualizes the end-to-end talent journey for candidates, recruiters, employees and management.

  • Lowering the Barrier to Entry for Cloud Computing is the Key to Scientific Discovery

    In this special guest feature, Ivan Ravlich, Co-Founder and CEO of Hypernet Labs, points out how the cloud industry needs to offer more accessible options to scientists and researchers who need to process large amounts of data. Containerizing scientific applications is a major step forward.

Featured Resource

insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads

This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.

All Recent News

Industry Perspectives

  • How AI Unlocks Brand Value in Unstructured Data

    n this special guest feature, Ido Ramati, Founder, COO & President at Revuze, discusses how unstructured data is being wasted by companies the world over. It is estimated 90 percent of an enterprise’s data is unstructured, living in emails, online reviews, or other untouched and ultimately useless formats. This data – defined as “unstructured” and growing at 55 to 65 percent each year – offers valuable customer insight if properly understood.

  • How Compliance Officers Can Get Some Much-Needed Rest

    In this special guest feature, Peter Duthie, Co-CEO and Chief Architect for Ground Labs, discusses how to address data security at the c-suite level and why data discovery initiatives are the best way to combat security challenges and remain compliant.

RSS Featured from insideHPC

  • New Intel oneAPI DevCloud makes it easier for coders working from home
    Today Intel introduced the oneAPI DevCloud to make it easier and more productive for coders currently working from home. "Developing code at home requires access to compute cycles, the latest software development tools, access across diverse hardware architectures—CPUs, GPUs, and FPGAs, and expanded storage capabilities. Through the new oneAPI DevCloud, Intel aims to provide extended […]

Editor’s Choice

  • 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.

  • COVID-19 Dashboard Uses Machine Learning to Track Global Pandemic

    Anodot, the company pioneering the autonomous monitoring space, has launched a public service including a machine learning driven analytics dashboard that monitors locally reported COVID-19 cases, and notifies users when a particular region’s numbers change significantly.

  • 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.

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