• Infographic: The State of Big Data in CPG

    An interesting new study coming from Bedrock Analytics on “The State of CPG Manufacturers & Big Data” is summarized with the infographic below. One of the study’s main findings was that while 4 out of 5 CPG manufacturers say that analytics are important in supporting their business decisions, a majority of them say that data and analytics are either “not at all” or only “somewhat” rooted in their organization’s culture. In other words, CPG companies know that Big Data is important, but they have yet to embrace it in their day-to-day work. [READ MORE…]

Featured Stories

  • Why Natural Language Processing is the Next Big Thing for Insurers

    In this special guest feature, Yaffa Cohen-Ifrah, CMO and Head of Corporate Communications at Sapiens Insurance, explores the many benefits of NLP for the insurance industry, including its widespread use as a cost-effective, engaging alternative to repetitive tasks that will streamline processes leading to greater customer satisfaction. [READ MORE…]

  • The Future of Open Source Big Data Platforms

    Three well-funded startups – Cloudera Inc., Hortonworks Inc., and MapR Technologies Inc. — emerged a decade ago to commercialize products and services in the open-source ecosystem around Hadoop, a popular software framework for processing huge amounts of data. The hype peaked in early 2014 when Cloudera raised a massive $900 million funding round, valuing it at $4.1 billion. The recent struggles of Cloudera and MapR have made many headlines and left some wondering what this means for the future of big data,” observed Unravel Data CEO Kunal Agarwal. “Is enterprise interest in data waning? Not at all. These companies have [READ MORE…]

  • Machine Learning Based Traffic Sign Recognition ‘Most Influential’ Innovation of Past Decade

    A research paper which revolutionized how cars read traffic signs has been recognized as the ‘most influential over the decade’ at a ceremony in Tokyo. The ideas the paper put forward have now found their way into everything from autonomous cars to controversial upcoming changes in EU law. [READ MORE…]

Featured Resource

data platforms for artificial intelligence

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning

This insideBIGDATA technology guide explores how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

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Industry Perspectives

  • Digital Trust & Safety: The Next Generation of Fraud Prevention is Powered by Machine Learning

    In this special guest feature, Kevin Lee, a Trust and Safety architect at Sift, discusses how Digital Trust & Safety, powered by machine learning, is taking the lead with fraud prevention efforts. Digital Trust & Safety is the only scalable and effective approach for the digital era. Companies that adopt Digital Trust & Safety are empowered to join the ranks of leading companies building the most groundbreaking products of our time. [READ MORE…]

  • Taking a New Approach to AI Projects for Real Business Applications

    In this special guest feature, Dr Catherine Havasi, AI Science Lead at Agorai (a global platform which provides the turnkey software solutions, technology and data needed for any company to join the AI economy), discusses the need for a more pragmatic approach to AI that firms must take to ensure real business results are achieved. In this piece, Dr. Havasi provides her advice on what businesses should look for in order to start a new AI project, what kind of evaluations they should make and what measurements they should consider. [READ MORE…]

RSS Featured from insideHPC

  • Job of the Week: Virtualization Infrastructure Engineer at PSC
    The Pittsburgh Supercomputing Center is seeking a Virtualization Infrastructure Engineer in our Job of the Week. "In this role, you will primarily be responsible for developing and maintaining the infrastructure to deploy and maintain fleets of hosts (physical and virtual), containers and services for the variety of project-based resources PSC operates and have a hand […]

Editor’s Choice

  • The insideBIGDATA IMPACT 50 List for Q2 2019

    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 the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies! [READ MORE…]

  • Field Report: GPU Technology Conference 2019 #GTC19

    I eagerly attended my 3rd GPU Technology Conference (GTC): “Deep Learning & AI Conference,” in Silicon Valley, March 23-26 as a guest of host NVIDIA. GTC has become my favorite tech event of the year due to its highly focused topic areas that align well with my own; data science, machine learning, AI, and deep learning; plus the show has an academic feel that I appreciate. [READ MORE…]

  • insideBIGDATA 2019 Annual Executive Round Up

    Our annual insideBIGDATA Executive Round Up showcases the insights of thought leaders on the state of the big data industry, and where it is headed. In our annual 2019 round up, we examine five topics: the importance of AI explainability in 2019, what industries are making the best competitive use of AI in 2019, how enterprises are seeking to improve technological infrastructure and cloud hosting processes for supporting AI, how AI-optimized hardware solves important compute and storage requirements, and how AI plays important roles at 3 leading companies. [READ MORE…]

  • Field Report: H2O World 2019 San Francisco

    I was pleased to be on-hand for the recent (Feb. 4-5) H2O World 2019 conference in beautiful San Francisco. This was my first H2o.ai conference and I was looking forward to drilling down into their popular open source solutions for data scientists including the H2O machine learning platform, Sparkling Water machine learning platform on Spark, H2O4GPU accelerated AI for GPUs, as well as the groundbreaking Driverless AI automatic machine learning (AutoML) platform. With all this leading-edge technology and resulting industry buzz, I can see why the company recently ranked #9 on insideBIGDATA’s IMPACT 50 list of the industry’s most impactful companies. [READ MORE…]

  • The Difference Between Data Science and Data Analytics

    In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business. [READ MORE…]

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