• TOP 10 insideBIGDATA Articles for November 2021

    In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Featured Stories

  • If You Are Relying Mostly On Hadoop to Meet Your Regulatory Compliance Needs, Your Company Could Be in Trouble

    In this special guest feature, Stefan Pracht, Senior Vice President, Product Marketing, Axellio, says that although Hadoop may be a strong solution for the big-and-fast data issue, it is becoming constrained by conventional server designs in a world in which institutions are having to deal with billions of records per day. Organizations may significantly reduce the expenses and equipment required to conduct these critical activities by using a server platform that utilizes a high-density, all-NVMe SSD-based appliance as the basis of the solution.  It should be considered as a viable alternative to a Hadoop-only solution architecture.

  • 2022 and Vertical Industry Data — A Sleeping Giant Awakens

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    In this contributed article, Steven Schwartz, Chief Operating Officer (COO) of Narrative, believes this coming year will be the one that marketing a company’s data as a viable revenue-generating “product” will gain traction across a myriad of vertical industries. Businesses are looking for ways to expand their revenue lines, and data’s unique attributes make it attractive to sell, from a pure P&L perspective.

  • 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.

Featured Resource

Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

In this white paper, our friends over at Profisee discuss how Master Data Management (MDM) will put your organization on the fast track to automating processes and decisions while minimizing resource requirements, while simultaneously eliminating the risks associated with feeding AI and ML data that is not fully trusted. In turn, your digital business transformation will be accelerated and your competitive edge will be rock solid.

All Recent News

Industry Perspectives

  • How to Evaluate Your Data Footprint

    In this special guest feature, Ahson Ahmad, Chief Product and Customer Officer, Ripcord, presents an interesting take on ‘Data Heat’ which is how it’s possible to help customers determine which data to delete, and which data to store.

  • 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.

RSS Featured from insideHPC

  • Daimler Selects Green Data Center for HPC
    Stuttgart, Germany – November 30, 2021: Daimler has selected consulting firm Infosys (NSE, BSE, NYSE: INFY) to transfer the car maker’s high performance computing (HPC) workloads for designing vehicles and automated driving technologies to the Norwegian green colo, Lefdal Mine Datacenter. The shift to Green Data Center as a Service supports Daimler deliver on its […]

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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