• Heard on the Street – 1/24/2022

    Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Featured Stories

  • Leveraging the Power of Data and Analytics … Yeah, Yeah. A Pragmatic Approach in 5 Steps

    In this special guest feature, Allan Brown, VP and General Manager of U.S. Digital Community Markets at Finastra, believes the lifecycle of data is circular, not linear and in order to put data into action, it is crucial that FIs take a holistic look at what that truly means. Understanding how to properly cleanse and utilize data will ultimately help successfully drive experience and innovation.

  • 2022 Trends in Semantic Technologies: Humanizing Artificial Intelligence

    In this contributed article, editorial consultant Jelani Harper discusses how semantic technologies and tenets are some of the most effective ways to oversee enterprise use cases of AI for natural language technologies. These capabilities have been formed by human curated knowledge, which is why the notion of human-in-the-loop is so prominent in contemporary times.

  • insideBIGDATA Guide to Computer Aided Engineering

    [SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, “insideBIGDATA Guide to Computer Aided Engineering,” sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.

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.

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Industry Perspectives

  • Explanatory vs. Exploratory — Which Data Visualization Is Right for Your Organization?

    In this special guest feature, Chad Reid, VP of marketing and communications at Jotform, argues that data visualization remains one of the best tools you can use to highlight relevant information for stakeholders, but to use it to its full potential, it is key to understand the difference between explanatory versus exploratory data analysis and know when to use each. He provides three strategies for better data visualization.

  • 2022 Can Be Insurance’s Big Data Moment

    In this special guest feature, Robert Clark, CEO of Cloverleaf Analytics, discusses trends and other factors driving what he believes to be a major year for big data analytics and BI in insurance in 2022. The article will outline a few major reasons why insurance can become a standard-bearer regarding innovative uses of big data and analytics.

RSS Featured from insideHPC

  • Hyperion Research: ‘Exceptional’ Global HPC Growth in 2021
    Although many vendor-reported figures for the fourth quarter aren’t available yet, high performance computing (HPC) market analyst firm Hyperion Research said “it’s clear 2021 will be an exceptionally strong growth year for the worldwide HPC market,” according to CEO Earl Joseph. Based on 2021 growth over the prior-year quarters of 13.3 percent (first quarter), 23.9 […]

Editor’s Choice

  • The insideBIGDATA IMPACT 50 List for Q1 2022

    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…]

  • Big Data Industry Predictions for 2022

    Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2022. 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. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an

  • 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.

  • 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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