“Above the Trend Line” – Your Industry Rumor Central for 11/11/2019
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
Featured Stories
Companies Are Bringing Data Back from the Cloud. Now They Need a Place to Put It
In this special guest feature, Shridar Subramanian, Vice President of Global Product Management and Marketing at StorageCraft, discusses the trend called “cloud data repatriation,” and how it appears to be gaining steam. A rethinking is happening where companies are looking to return at least some of their core data and applications to their on-premises data centers.
Julia: The Programming Language Of The Future
Keno Fischer, Julia Computing co-founder and CTO (Tools) discussed Julia and Julia Computing in a recent interview. Learn how he became interested in computer science and how Julia was created, and how a 16 year-old German exchange student became a 19 year-old co-founder of Julia Computing. Keno shares stories behind the creation of the popular programming language Julia, as well as the development of the community and spin-off company Julia Computing over the past years with the rise of machine learning. Julia is a modern open-source language for data science, machine learning and scientific computing that has gained increasing attention. [READ MORE…]
Why Overcoming Algorithm Aversion is the Key to Unleashing the Disruptive Force of AI
In this contributed article, Charles Araujo, Principal Analyst at Intellyx, identifies the differential between when a project is expected to be completed versus when it is actually completed, along with the significant cause of this gap: algorithm aversion.
Featured Resource
insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads
This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.
Industry Perspectives
9 Practical Actions to Improve Machine Learning for Fraud Prevention
In this special guest feature, Arjun Kakkar, Vice President Strategy and Operations at Ekata, provides 9 practical and actionable principles for product managers and business leaders working to use machine learning for fraud detection. The unique characteristics of online fraud detection, including the availability of large and diverse data sets with known outcomes, repeating patterns, and a need for quick decisions, make it a good candidate for machine learning.
How will AI Shape the Future of the Legal Services Industry
In this special guest feature, Stewart Dunlop, a content manager working with LegalZoom, highlights the fact that artificial intelligence has been predicted to be of value to many different industries, and perhaps one of the most feasible applications will be within legal services. This is due to several factors, which will be explained further in the article, but perhaps the most important is the fact that one of AI’s biggest strengths is data collection and analysis
Featured from insideHPC
- Production Trial Shows Global Science Possible with CAE-1 100Gbps linkIn early October, A*CRC, ICM, and Zettar conducted a production trial over the newly built Collaboration Asia Europe-1 (CAE-1) 100Gbps link connecting Europe and Singapore. "The project has established a historical first," said Zettar CEO Chin Fang. "For the first time over the newly built CAE-1 link, with a production setup at ICM end, it […]
News from insideHPC
- Production Trial Shows Global Science Possible with CAE-1 100Gbps link
- Accelerate Big Data and HPC applications with FPGAs using JupyterHub
- New LOCA Facility to Develop Open Computer Architectures at BSC in Barcelona
- Enabling Oracle Cloud Infrastructure with IBM Spectrum Scale
- Optimizing in a Heterogeneous World is (Algorithms x Devices)
- Coding Dojo Launches Immersive Data Science Bootcamp
- Video: Deep Learning for resource-constrained systems
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q4 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 [READ MORE…]
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 satisfied 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…]
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.
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.
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 [READ MORE…]
