World Data League Launches Public Report with the Competition’s Best Solutions and Strategies
The work of more than 100 data scientists, over 14 challenges in line with the 11th United Nations Goal – Sustainable Cities and Communities – is now available for consultation and use through an open report released by the World Data League.
Featured Stories
insideBIGDATA Latest News – 11/24/2021
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.
The Future of AI is the Edge; Can GPUs Take the Heat?
In this special guest feature, Ludovic Larzul, Founder and CEO, Mipsology, describes how in the future, AI will be everywhere. And though some computation will continue to take place in data centers, more will happen at the edge. There is just no other way for smart consumer devices, smart city applications and autonomous cars to work. As such, application developers must ensure that their designs work as well in the real world as they do in the climate-controlled lab.
How Edge Analytics could Drive the Next Wave of Digital Transformation
In this contributed article, Gary Ogasawara, Cloudian’s Chief Technology Officer, discusses how edge computing is still a work in progress. The first wave of digital transformation helped IT-focused companies gain a competitive edge. The next wave will extend existing cloud development practices, applications, and data models to the edge to help accelerate the digital transformation for other industries.
Featured Resource
Introducing Apache Druid
This whitepaper provides an introduction to Apache Druid, including its evolution,
core architecture and features, and common use cases. Founded by the authors of the Apache Druid database, Imply provides a cloud-native solution that delivers real-time ingestion, interactive ad-hoc queries, and intuitive visualizations for many types of event-driven and streaming data flows.
Industry Perspectives
Improving Your Odds of ML Success with MLOps
In this special guest feature, Harish Doddi, CEO, Datatron, discusses what CEOs need to understand about using MLOps. He also shares insights on how to use MLOps to gain competitive advantage and provide tips on how to implement it.
AI, Healthcare, and C-3PO
In this special guest feature, David Sellars, CEng, Principal, Product Innovations at DrFirst, discusses how artificial intelligence has been lauded as the coming revolution in healthcare. But if you ask a clinician in your local hospital or pharmacy if they use AI in their regular workflows, you are likely to find that AI is curiously absent.
Featured from insideHPC
- DOE: Applications Open for $70M for Scientific Discovery through Advanced Computing (SciDAC)Nov. 23, 2021 — Today, the U.S. Department of Energy (DOE) announced plans to provide $70 million for research in earth system model development, which will contribute to further development of the Energy Exascale Earth System Model (E3SM) through collaborations that will use DOE high performance computers (HPC) to enable advanced modeling via mathematical and computational solutions. […]
News from insideHPC
- DOE: Applications Open for $70M for Scientific Discovery through Advanced Computing (SciDAC)
- DOE Office of Science — Call for Position Papers: ASCR Workshop on Visualization for Science , Dec. 10 Due Date
- Meet OLCF’s Gina Tourassi, Director of National Center for Computational Sciences
- Thoughts on SC21: Exascale, TOP500, Diversity in HPC, Quantum, the Metaverse
- LLNL Team Wins SC21 Reproducibility Advancement Award for Approximation Framework
- Cornelis Fabric Tapped by DOE / NNSA for Advanced Sim
- DoE: HPC4EI Solicitation to Connect Industry with Exascale HPC Resources
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q4 2021
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…]
The Amazing Applications of Graph Neural Networks
In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases.
Infographic: The Rise of No-Code Development Platforms
Our friends over at Saas Platform company in Ireland called TeamKonnect have developed new infographic called “The Rise of No-Code Development Platforms” which is provided below. This infographic is a 101 guide to No-Code Development Platforms. Rising in popularity in the last decade, these platforms offer an exciting opportunity for businesses and organizations to develop apps that meet their needs without the engagement of software engineers.
Big Data Industry Predictions for 2021
2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming.
What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics
In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.
