AI Critical Measures: Time to Value and Insights
AI is a game changer for industries today but achieving AI success contains two critical factors to consider — time to value and time to insights. Time to value is the metric that looks at the time it takes to realize the value of a product, solution or offering. Time to insight is a key measure for how long it takes to gain value from use of the product, solution or offering. [READ MORE…]
Featured Stories
Is Your Data FAIR? An Open Data Checklist for Success
In this special guest feature, Assaf Katan, CEO & Co-Founder of Apertio, the Open Data deep search engine, suggests that there are huge social and financial benefits that businesses and economies can realize if they can successfully leverage Open Data. Despite this, there are still some hurdles for data professionals to leap. A great way to start is to consider whether your data meets the criteria for what’s known as the FAIR principles. These are Findability, Accessibility, Interoperability and Reusability. [READ MORE…]
Are B2B Marketers Leave Money on the Table by Ignoring B2C Data?
In this contributed article, Collin Dayley, Senior Vice President Sales and Strategic Partnerships at Versium, suggests that typically, B2B data focuses on role, and firmographic information. While B2C data can reveal information providing clues to the emotional reasons and process your customers use when making buying decisions. By combining both B2C and B2B data, marketers can develop more relevant content and experiences that meet individual buyer needs. This is proven to increase the ability to contact and engage B2B buyers. [READ MORE…]
Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 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
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
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…]
Why Providers Should Centralize Analytics
In this special guest feature, Hossein Fakhrai-Rad, President & Chief Scientific Officer at BaseHealth, discusses how In the future, the insights derived from centralized analytics delivery models are likely to help hospitals improve quality, lower costs, identify at-risk populations and better understand performance. For that to happen, however, hospitals and health systems must first overcome the fragmented, decentralized approach to analytics that prevents them from realizing the full value of their analytics investments. [READ MORE…]
Featured from insideHPC
- Video: Intel and Cray to Build First USA Exascale Supercomputer for DOE in 2021Today Intel announced plans to deliver the first exaflop supercomputer in the United States. The Aurora supercomputer will be used to dramatically advance scientific research and discovery. The contract is valued at more than $500 million and will be delivered to Argonne National Laboratory by Intel and sub-contractor Cray in 2021. "Today is an important […]
News from insideHPC
- Video: Intel and Cray to Build First USA Exascale Supercomputer for DOE in 2021
- PNNL Leads Quantum Nexus Summit in Seattle
- Video: Solving I/O Slowdown and the “Noisy Neighbor” Problem
- Mellanox HDR 200G InfiniBand Speeds Machine Learning with NVIDIA
- 2019: The Year of PCI Express 4.0
- GPU Technology Conference to put HPC and Ai front and center
- Panel session: Meeting compute demand for the energy industry in the next decade
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…]
