Field Report: KDD 2019
As a very long time member of the ACM and their SIGKDD group, I’d always wanted to attend a KDD conference (first one occurred in 1995). This year I received a gracious invitation to attend KDD2019 in Anchorage, Alaska, August 4-8. It satisfyied two of my bucket list items: witnessing a KDD first-hand and also visiting Anchorage. I was not disappointed with the experience! What follows is my “Field Report,” a travel log if you will, chronicling my observations, both technical and cultural. KDD is touted as being “the premier interdisciplinary conference bringing together researchers and practitioners from data science, [READ MORE…]
Featured Stories
The Most Common Missed Opportunities With Big Data
In this contributed article, technology writer and blogger Kayla Matthews offers insights into some of the most common missed opportunities with big data technologies. [READ MORE…]
TOP 10 insideBIGDATA Articles for July 2019
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels. [READ MORE…]
Optimizing Fuel Pricing in a Convenience Retail Environment with AI and Machine Learning
In this special guest feature, Niels Skov, SVP, PDI Fuel Pricing Solutions, outlines how fuel pricing is a complex business for convenience retailers. Using advanced digital capabilities like AI and machine learning to get fuel pricing right can have a significant business impact far beyond an operator’s raw margins on gasoline or diesel. [READ MORE…]
Featured Resource
Alternative Data for Investment Management
From hedge fund managers to mutual funds and even private equity managers, alternative data has the power to improve valuation of securities and boost the clarity of the investment process. Techniques like natural language processing and machine learning allow organizations to better capitalize on alternative data. These technologies enable processing of large, heterogenous, and unstructured sets at an extremely fast rate. A new report from SparkCognition explores the challenges for alternative data adoption, how to overcome them, and explores the potential of automation.
Industry Perspectives
How to Adapt to New Technology and Gain a Holistic View of Your Customer
In this special guest feature, Daniel Herdean, CEO of Cognetik, provides four key tips that can help your organization adapt to the new influx of data and ensure you’re providing the best customer experience possible. [READ MORE…]
Democratizing AI
In this special guest feature, Saranyan Vigraham, Vice President of Engineering at Petuum, believes that as technology creators, we have an inherent bias in solving challenging technical problems. For democratizing AI, it is also important to solve problems around adoption and the last-mile problem of AI delivery. In a manner similar to e-commerce, an entire ecosystem of players will emerge to tackle this challenge down the road. [READ MORE…]
Featured from insideHPC
- UPMEM Puts CPUs Inside Memory to Allow Apps to Run 20 Times FasterToday UPMEM announced a Processing-in-Memory (PIM) acceleration solution that allows big data and AI applications to run 20 times faster and with 10 times less energy. Instead of moving massive amounts of data to CPUs, the silicon-based technology from UPMEM puts CPUs right in the middle of data, saving time and improving efficiency. By allowing […]
News from insideHPC
- Cerebras Systems Unveils the Industry’s First Trillion Transistor Chip for AI
- UPMEM Puts CPUs Inside Memory to Allow Apps to Run 20 Times Faster
- Video: Unboxing the NVIDIA DGX-1 Supercomputer at Georgia Tech
- Simulating Shock Turbulence Interactions on Stampede II
- Micron Starts Volume Production of 1z Nanometer DRAM Process Node
- Supercomputing Galactic Winds with Cholla
- HPC Innovation Excellence Award Showcases Physics-based Scientific Discovery
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…]
