Unexpected Career Paths That Use Big Data
In this contributed article, freelance human Avery Phillips suggests that with big data now permeating so many different aspects of our lives, it was only a matter of time before new career paths opened up that were more than just big data adjacent. While some of these industries offering up big data-related jobs aren’t too surprising, there are a few that might surprise anyone. [READ MORE…]
Featured Stories
SAS Announces $1 Billion Investment in AI at #GTC19
SAS, driving the future of analytics, is investing $1 billion in AI over the next three years through software innovation, education, expert services and more. The commitment builds on SAS’ already strong foundation in AI which includes advanced analytics, machine learning, deep learning, natural language processing (NLP) and computer vision. Educational programs and expert services will equip business leaders and data scientists for the future of AI, with the technology, skills and support they need to transform their organizations. [READ MORE…]
GPU Databases On the Rise at NVIDIA #GTC19
While at the NVIDIA GPU Technology Conference (GTC) this week in Silicon Valley, I noted how well GPU databases are resonating with the marketplace. The vendors in this space were highly regarded judging by the crowds in the technical sessions presented by these companies, and also the general buzz heard on the conference floor. Interest in GPU databases is certainly on the rise. [READ MORE…]
With Big Data Widely Adopted, The Next Concern Is How to Get Value From It
In this contributed article, technology writer and blogger Kayla Matthews discusses how there was a time not long ago when many companies viewed big data investments as niche and non-essential, but that has changed. They now realize using big data is necessary to succeed in the marketplace. However, making big data worthwhile is not as straightforward as it seems. Many companies still don’t know how to extract data from the collected information. [READ MORE…]
Featured Resource
A Blueprint for Preparing Your Own Machine Learning Training Data
Download the new guide from Alegion that acts as a pre-flight checklist for data science teams that are contemplating preparing their own maching learning training data.
Industry Perspectives
AI Goes Mainstream
According to a recent Gartner survey, Artificial intelligence (AI) learning has moved from a specialized field into mainstream business use with 37 percent of respondents reporting their enterprises either had deployed AI or would do so shortly. WekaIO’s Barbara Murphy explores the path of artificial intelligence from the fringe to mainstream business practices. Find out what is driving AI growth and adoption. [READ MORE…]
How to Get to the Data-Enabled Data Center
Despite their many promising benefits, advancements in Artificial Intelligence (AI) and Deep Learning (DL) are creating some of the most challenging workloads in modern computing history and put significant strain on the underlying I/O, storage, compute and network. An AI-enabled data center must be able to concurrently and efficiently service the entire spectrum of activities involved in the AI and DL process, including data ingest, training and inference. [READ MORE…]
Featured from insideHPC
- Job of the Week: HPC Specialist in Software Development at DKRZThe German Climate Computing Centre (DKRZ) is seeking and HPC and Specialist in Software Development in our Job of the Week. "DKRZ is involved in numerous national and international projects in the field of high-performance computing for climate and weather research. In addition to the direct user support, depending on your interest and ability, you […]
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- PASC19 Preview: Brueckner and Dr. Curfman-McInnes to Moderate Exascale Panel Discussion
- How Mellanox SHARP technology speeds Ai workloads
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Editor’s Choice
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 insideBIGDATA IMPACT 50 List for Q1 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…]
4 Major Ways in Which Big Data is Impacting Social Media Marketing
In this contributed article, content and brand strategist Nidhi Dave throws light on the application of big data on social media marketing, examining its current as well as future impact. She offers four major ways in which big data is impacting social media marketing [READ MORE…]
Top Skills Data Scientists Need To Learn in 2018
Data scientists are in high demand, taking the number 1 spot in Glassdoor’s Best Jobs in America list in 2016 and 2017, with 4,84 position available and boasting a median base salary of $110,000. According to Jim Webber, Chief Scientist at Neo4j, the following is a short-list of the most essential tech skills for data scientists to adopt this year. [READ MORE…]
