• Data Maturity Remains Atop the Leadership Agenda

    The Boston Consulting Group released the third iteration of its Data Capability Maturity survey. According to the findings, some organizations are gaining clear advantages from data, while many others continue to fall woefully short of their goals. Participants of this latest survey include more than 1,100 companies worldwide from nine industry verticals – each asked to evaluate their current data maturity performance level and aspirations for the next three years across seven core data capabilities.

Featured Stories

  • insideBIGDATA Latest News – 11/24/2021

    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.

  • The Future of AI is the Edge; Can GPUs Take the Heat?

    In this special guest feature, Ludovic Larzul, Founder and CEO, Mipsology, describes how in the future, AI will be everywhere. And though some computation will continue to take place in data centers, more will happen at the edge. There is just no other way for smart consumer devices, smart city applications and autonomous cars to work. As such, application developers must ensure that their designs work as well in the real world as they do in the climate-controlled lab.

  • How Edge Analytics could Drive the Next Wave of Digital Transformation

    In this contributed article, Gary Ogasawara, Cloudian’s Chief Technology Officer, discusses how edge computing is still a work in progress. The first wave of digital transformation helped IT-focused companies gain a competitive edge. The next wave will extend existing cloud development practices, applications, and data models to the edge to help accelerate the digital transformation for other industries.

Featured Resource

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance

This whitepaper from Imply Data Inc. introduces Apache Druid and explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.

All Recent News

Industry Perspectives

  • Improving Your Odds of ML Success with MLOps

    In this special guest feature, Harish Doddi, CEO, Datatron, discusses what CEOs need to understand about using MLOps. He also shares insights on how to use MLOps to gain competitive advantage and provide tips on how to implement it.

  • AI, Healthcare, and C-3PO

    In this special guest feature, David Sellars, CEng, Principal, Product Innovations at DrFirst, discusses how artificial intelligence has been lauded as the coming revolution in healthcare. But if you ask a clinician in your local hospital or pharmacy if they use AI in their regular workflows, you are likely to find that AI is curiously absent.

RSS Featured from insideHPC

  • DOE: Applications Open for $70M for Scientific Discovery through Advanced Computing (SciDAC)
    Nov. 23, 2021 — Today, the U.S. Department of Energy (DOE) announced plans to provide $70 million for research in earth system model development, which will contribute to further development of the Energy Exascale Earth System Model (E3SM) through collaborations  that will use DOE high performance computers (HPC) to enable advanced modeling via mathematical and computational solutions. […]

Editor’s Choice

  • The insideBIGDATA IMPACT 50 List for Q4 2021

    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…]

  • The Amazing Applications of Graph Neural Networks

    In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases.

  • Infographic: The Rise of No-Code Development Platforms

    Our friends over at Saas Platform company in Ireland called TeamKonnect have developed new infographic called “The Rise of No-Code Development Platforms” which is provided below. This infographic is a 101 guide to No-Code Development Platforms. Rising in popularity in the last decade, these platforms offer an exciting opportunity for businesses and organizations to develop apps that meet their needs without the engagement of software engineers.

  • Big Data Industry Predictions for 2021

    2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming.

  • 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.

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