• AI Skills — 93% of Organizations Committed to AI but Skills Shortage Poses Considerable Challenge

    Most organizations are fully invested in AI but more than half don’t have the required in-house skilled talent to execute their strategy, according to new research from SnapLogic. The study found that 93% of US and UK organizations consider AI to be a business priority and have projects planned or already in production. However, more than half of them (51%) acknowledge that they don’t have the right mix of skilled AI talent in-house to bring their strategies to life. [READ MORE…]

Featured Stories

  • The Data Talent Market Continues Its Ascent

    We’re at an important inflection point in history where a glaring shortage of data-centric skills, coupled with an increasing demand for data professionals, represents a unique opportunity for those willing to make a commitment to “tool up” or “retool” as the case may be, in preparation for a career in analytics. The good thing is, after all the time and effort, the newly acquired skills will keep on giving because the analytics field shall continue to be in favor for a very long time. [READ MORE…]

  • Six Tenets of Data Lake Access Control and Governance

    In this special guest feature, Amandeep Kurana, Chief Executive Officer and Co-founder at Okera, provides six important tenets of data lake access control and governance – Data-Centricity, Rich Access Policies, Scalability and Automation, Unified Visibility, Open, API-First Design, and Hybrid and Multi-Cloud Ready. [READ MORE…]

  • Best of arXiv.org for AI, Machine Learning, and Deep Learning – April 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…]

Featured Resource

data catalog

From Out of Nowhere: the Unstoppable Rise of the Data Catalog

The data catalog has come from nowhere in the past five years to become a key enabling technology for multiple use cases including self-service analytics, self-service data preparation and multi-location data management. Download a new white paper from Unifi Software that explores the data catalog as a major data management breakthrough, as well as its importance in enabling modern analytics architecture.

All Recent News

Industry Perspectives

  • The Impact of AI on the Data Analyst

    In this special guest feature, Glen Rabie, CEO of Yellowfin, believes that while many analysts may fear they will be replaced by automation and AI, the role of the data analyst will increase in significance to the business and breadth of skills required. [READ MORE…]

  • The Melding of Minds: How AI and Humans are Changing the Workforce

    In this special guest feature, Claus Jepsen, Deputy CTO and Chief Technology Strategist at Unit4, discusses how the future of AI holds both promise and mystery. It is more important than ever to prepare yourself, your team, and your organization to develop a strategy to leverage artificial intelligence. And keep in mind – AI, when used correctly, is about empowering people to do more and better than humanly possible. [READ MORE…]

RSS Featured from insideHPC

  • TACC Powers Climate Studies with GRACE Project
    Researchers are using powerful supercomputers at TACC to process data from Gravity Recovery and Climate Experiment (GRACE). "Intended to last just five years in orbit for a limited, experimental mission to measure small changes in the Earth's gravitational fields, GRACE operated for more than 15 years and provided unprecedented insight into our global water resources, from […]

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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