A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs.

Here's why and how a startup founded by a duo of researchers some months back is attracting big enterprise clients and serious funding

Google uses machine learning and graphs to deliver search results. Most search engines do not. Weaviate wants to change that.

A $325 million Series F funding round, bringing Neo4j's valuation to over $2 billion. A social network of 3 billion people, distributed across 1000 servers. The latter is a demo; the former is not. But both are real signs that the graph market and Neo4j are getting huge.

GraphQL is a specification that came at just the right time to address an age-old issue in software engineering: service integration. Apollo's implementation is seeing lots of traction, and it just got more gas in the tank for its grand vision that goes well beyond integration

Knowledge graphs are probably the best technology we have for data integration. But what about application integration? Knowledge graphs can help there, too, argues EnterpriseWeb.

GDS 2.0 and AuraDS from Neo4j bring graph data science one step closer to mainstream adoption.

What do you get when you combine two of the most up-and-coming paradigms in data processing -- streaming and graphs? Likely a potential game-changer, which DARPA and others are pivoting to invest in.

What does ESG mean in the balance sheet and beyond? How can advanced analytics help organizations evaluate their impact on sustainability?

Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state of the art in natural language processing is done on the intersection of graphs and machine learning.

A tour de force on progress in AI, by some of the world's leading experts and venture capitalists.

Research and industry breakthroughs, ethics, and predictions. This is what AI looks like today, and what it's likely to look like tomorrow.

Gary Marcus, a prominent figure in AI, is on a mission to instill a breath of fresh air to a discipline he sees as in danger of stagnating. Knowledge graphs, the 20-year old hype, may have something to offer there.

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies and processes that can support this transition, and what they are about.

AI chips, MLOps, and ethics. Knowledge, and Graphs. COVID-19 as a mixed bag for technological progress and adoption

Graphs are everywhere. That has been the motto of graph aficionados for years, and now the world seems to be waking up to this.

Amazon Neptune just added another query language, openCypher, to its arsenal. That may not sound like a big deal in and of itself, but coupled with updates in machine learning and data science features, it points towards the future of graph databases.

SambaNova just added another offering under its umbrella of AI-as-a-service portfolio for enterprises: GPT language models. As the company continues to execute on its vision, we caught up with CEO Rodrigo Liang to look both at the big picture and under the hood.

Industry leaders discuss the "duct tape of data," if language models are a good way to approximate AI, and how to gain hybrid intelligence.

The butcher-on-the-bus is a rhetorical device that sheds light on human memory processes. Imagine recognising someone on a bus but struggling to place their… | 62 comments on LinkedIn

"We needed it to be on the Daytona 500 side of the graph databases," LinkedIn Chief Architect for LIquid tells The New Stack.

Graph databases are making a splash in the database market, with specialist, multimodal and cloud database suppliers jostling for a slice of the pie.

Prevent organized and repeat fraudsters by using a home-grown graph platform

Market Guide for Graph Database Management Systems

Accenture has made a strategic investment, through Accenture Ventures, in Stardog, a leading enterprise knowledge graph platform enabling organizations to do more with, and achieve greater value from

It was wonderful to see our customers, long-time friends and new faces alike this week in NYC at the Knowledge Graph Conference (KGC).

The advent of social networks, big data and e-commerce has re-emphasized the importance of analyzing a unique type of data structure- one…

In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms: knowledge graphs.

Are you interested in learning how to build a Semantic Layer for your organisation that can communicate with GPT? If so, here's a valuable tip: use the same… | 87 comments on LinkedIn