• Different Data Models for Different Business Insights

    In this contributed article, freelance human Avery Phillips believes that gaining an understanding of data models comes down to understanding different types of data to begin with. Furthermore, it’s important to evolve data models and systems with new technology; without it, your analytics won’t improve or account for everything they can. More so, don’t forget your safety net programs like your BCPs and DRPs. In the case of data loss, they will keep your operations moving smoothly and allow you to get back some of what you lost. [READ MORE…]

Featured Stories

  • 3 Considerations for Working with Data Gravity

    In this special guest feature, Matthew Wallace, Faction Chief Technology Officer, addresses three questions enterprise companies should consider in order to understand data gravity so that they may access and use data—efficiently and effectively. [READ MORE…]

  • Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2019

    In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month. [READ MORE…]

  • With Wildfire Season Approaching, First Responders Should Turn to Data

    In this contributed article, Anirudh Ruhil, Professor at Ohio University’s Voinovich School of Leadership and Public Affairs, offers his unparalleled understanding of how government agencies can make use of data collection and analysis allowing him to provide unique insights into how data analysis can be used to help first responders combat wildfires. [READ MORE…]

Featured Resource

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Tapping into the power of big data and analytics can be daunting. Download a new white paper from Pure Storage that explores how to jump into the world of big data and emerging AI technology, and take advantage of its benefits. The company’s research of emerging trends revealed three challenges of big data, and opportunities therein.

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Industry Perspectives

  • Before We Argue About Ethics, Models Need Transparency

    In this special guest feature, Pedro Alves, CEO, and Rick Saletta, Senior Marketing Executive of Ople, discuss how model transparency is an essential capability. It facilitates the jobs of a data science team, while helping bring models’ end users to better comprehension of and comfort with the decisions driven by those models. Transparent AI is an absolute requirement for a proper AI implementation within an organization, as well as the key to ensuring a more meaningful ethical perspective as AI is woven into our everyday lives. [READ MORE…]

  • The Future of AI in Retail: Fueling Change for the Industry

    In this special guest feature, Matt Field, President and Co-Founder of MakerSights, says there’s no denying that AI and ML are starting to change the nature of the retail industry. One of its greatest benefits will be in how intelligent automation can be used by humans to augment their jobs. Embracing AI and ML and incorporating this with human intuition to predict, create and manage consumer preferences can help retailers increase their bottom line while meeting modern consumer expectations for personalized, on-trend and convenient products. [READ MORE…]

RSS Featured from insideHPC

  • Video: A Full Week of Fueling Innovation at ISC 2019
    In this video, Michael Feldman of The Next Platform and Florina Ciorba of University of Basel look back on ISC 2019. "ISC 2019 brought together 3,573 HPC practitioners and enthusiasts interested in high performance computing, storage, networking, and AI. The theme of this year's conference was Fueling Innovation." The post Video: A Full Week of […]

Editor’s Choice

  • 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. [READ MORE…]

  • The insideBIGDATA IMPACT 50 List for Q3 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…]

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