Featured
Open-source software economics and community health analytics: Enter CHAOSS
Trying to capture the value open-source software generates can be a bit chaotic. The CHAOSS project may lend a helping…
AI / Machine Learning
2022 technology trend review, part two: AI and graphs
AI and graphs have a few things in common: they are multi-faceted, ubiquitous in their…
OctoML announces the latest release of its platform, exemplifies growth in MLOps
OctoML is announcing the latest release of its platform to automate the deployment of production-ready…
Edge Impulse wants to bring machine learning at the edge to everyone, announces $34M Series B funding
55.000 projects, 30.000 developers, $54M funding, and customers, including the likes of NASA, in a…
LinkedIn and Intel tech leaders on the state of AI
AI is on a roll. Adoption is increasing across the board, and organizations are already…
Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge
At Nvidia’s GTC event today, CEO Jensen Huang made announcements the company claims have the…
Data / Analytics / Data Science
AI and automation vs. the COVID-19 pandemic: Trading liberty for safety
Reports on the use of AI to respond to COVID-19 may have been greatly exaggerated.…
Explainable AI: From the peak of inflated expectations to the pitfalls of interpreting machine learning models
We have reached peak hype for explainable AI. But what does this actually mean, and…
Explainable AI: A guide for making black box machine learning models explainable
In the future, AI will explain itself, and interpretability could boost machine intelligence research. Getting…
Data governance and context for evidence-based medicine: Transparency and bias in COVID-19 times
In the early 90s, evidence-based medicine emerged to make medicine more data-driven. Three decades later,…
Garbage in, garbage out: Data science, meet evidence-based medicine
Did you ever wonder how data is used in the medical industry? The picture that…
Data Lakehouse, meet fast queries and visualization: Databricks unveils Delta Engine, acquires Redash
Data warehouses alone don’t cut it. Data lakes alone don’t cut it either. So whether…
Nvidia Rapids cuGraph: Making graph analysis ubiquitous
A new open-source library by Nvidia could be the secret ingredient to advancing analytics and…
Knowledge Graphs and Natural Language Processing. The Year of the Graph Newsletter, July/August 2019
Pinterest gets with the knowledge graph program. Facebook releases a new dataset for conversational Reasoning…
Graph database reinvented: Dgraph secures $11.5M to pursue its unique and opinionated path
Imagine a graph database that’s not aimed at the growing graph database market, selling to…
Advancing human exploration: Is space the final frontier, and how can data and AI get us there?
Fifty years after the moon landing, it’s not just NASA working on what many consider…
The state of AI in 2019: Breakthroughs in machine learning, natural language processing, games, and knowledge graphs
A tour de force on progress in AI, by some of the world’s leading experts…
Graph explosion and consolidation. The Year of the Graph Newsletter, June 2019
With the knowledge graph space exploding on all accounts (interest, use cases, funding), centrifugal and…
Innovation
Make Apache Cassandra great again: DataStax going cloud, Kubernetes, open source, and multi-model
Actions and words, code and advocacy. DataStax is changing strategy, re-engaging with the Apache Cassandra…
Amazon and commercial open source in the cloud: It’s complicated
What do the data tell us about the relationship between cloud vendors — specifically, Amazon…
DevOps and observability in the 2020s
What do the data tell us on the direction modern software development is going? Cloud,…
Quantum Orchestration Platform: A virtual machine for quantum computing
Startup Quantum Machines unveils what could be a key to accelerating quantum computing adoption, already…
5 technology trends for the roaring 20s, part 1: Blockchain, cloud, open source
Data is changing the paradigm in everything from business to social interactions. Here is what…
Logz.io moves toward application observability in the cloud, raises questions on open source
Logz.io unveils its cloud offering for infrastructure monitoring based on open source platforms Elastic and…
Other Topics
Want to boost customer engagement? Invest in data integration, metadata, data governance, says Informatica
What does a Data Hub Reference Architecture have to do with Customer Engagement? A lot,…
The best programming language for data science and machine learning
Hint: There is no easy answer, and no consensus either. Arguing about which programming language…
Data-driven software development in the cloud: Trends, opportunities, and threats
Software development has been fundamentally changing. It’s following the data and going to the cloud.…
GraphQL for databases: A layer for universal database access?
GraphQL is a query language mostly used to streamline access to REST APIs. Now, a…
Wolfram Research goes for Software 2.0, releases neural net repository
Wolfram, having been into AI before it was cool, now gets a piece of the…
AI-powered DevOps is how CA wants to reinvent software development and itself
How does non-deterministic software sound? Making data-driven software to help make data-driven software may seem…