Reviewing 2024, Previewing 2025: Technology, Data, AI, Media, Interconnectedness, Graphs, and Cosmo-localism

Reviewing 2024, Previewing 2025: Technology, Data, AI, Media, Interconnectedness, Graphs, and Cosmo-localism

As the year draws to an end, it’s a good time to take stock of how it started vs. how it’s going on the micro and the macro level. It’s also a good opportunity to try and answer the top two questions I get: What is it that you do, exactly? Where do you think […]

Read More →

Democratizing data with Graph RAG: What it is, What it can do, How to evaluate it

Democratizing data with Graph RAG: What it is, What it can do, How to evaluate it

What is Graph RAG, what can it do, and how do you evaluate it? By George Anadiotis Are you interested in making your data more accessible? A rhetorical question indeed. Even if you are well-versed in dark arts such as databases, data modeling, data science and information retrieval, why would you not want to make data […]

Read More →

Universal semantic layer: Going meta on data, functionality, governance, and semantics

Universal semantic layer: Going meta on data, functionality, governance, and semantics

What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for? By George Anadiotis When Cube Co-founder Artyom Keydunov started hacking away a Slack chatbot back in 2017, he probably didn’t have answers to those questions. All he wanted to […]

Read More →

Neo4j partners with Microsoft, unfolds strategy to power Generative AI applications with cloud platforms and Graph RAG

Neo4j partners with Microsoft, unfolds strategy to power Generative AI applications with cloud platforms and Graph RAG

From better together to full native integration, Neo4j is creating an ecosystem around all major cloud platforms to enable provide graph-powered features for Generative AI and beyond. Here’s how this aligns with cloud platform AI strategies and what’s next. Hint: Databricks and Snowflake. By George Anadiotis For many organizations today, data management comes down to handing […]

Read More →

How LinkedIn is moving towards a skills-based economy with the Skills Graph

How LinkedIn is moving towards a skills-based economy with the Skills Graph

What is a skills-based economy and how is LinkedIn moving from vision to implementation? As LinkedIn Director of Engineering Sofus Macskássy shares, there’s AI, taxonomy, and ontology involved in building the Skills Graph that powers it. By George Anadiotis Skills are the new currency. That’s a bold statement, coming from LinkedIn CEO Ryan Roslansky. Roslansky makes […]

Read More →

Amazon Neptune introduces a new Analytics engine and the One Graph vision

Amazon Neptune introduces a new Analytics engine and the One Graph vision

Amazon Neptune, the managed graph database service by AWS, makes analytics faster and more agile while introducing a vision aiming to simplify graph databases. By George Anadiotis It’s not every day that you hear product leads questioning the utility of their own products. Brad Bebee, the general manager of Amazon Neptune, was all serious when he […]

Read More →

Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale

Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale

“Graph database growth is going strong through the Trough of Disillusionment.” And “Graph Analytics go big and real-time.” These were two of the headlines of the Spring 2023 update of the Year of the Graph newsletter. In combination, they seem like an appropriate summary of the reasoning behind a new entry in the graph database […]

Read More →

Neo4j’s roadmap in 2023: Cloud, Graph Data Science, Large Language Models and Knowledge Graphs

Neo4j’s roadmap in 2023: Cloud, Graph Data Science, Large Language Models and Knowledge Graphs

Neo4j recently announced new product features in collaboration with Google, as well as a new Chief Product Officer coming from Google: Sudhir Hasbe. We caught up to discuss what the future holds for Neo4j as well as the broader graph database space. Sudhir Hasbe began his career as an engineer, but quickly transitioned into product […]

Read More →

Return of the Graph: Geospatial Knowledge Graphs, Personal Knowledge Graphs, and Evolution. The Year of the Graph Newsletter Vol. 24, Spring 2023

Return of the Graph: Geospatial Knowledge Graphs, Personal Knowledge Graphs, and Evolution. The Year of the Graph Newsletter Vol. 24, Spring 2023

New types of graphs, and a new era for the Year of the Graph Newsletter The Year of the Graph Newsletter, keeping track of all things Graph year over year, is back after a long hiatus. Read on to learn more about how the evolution of the newsletter follows the evolution of the domain and […]

Read More →

Heroes journey: Notes towards a Personal Knowledge Graphs Book

Heroes journey: Notes towards a Personal Knowledge Graphs Book

The hero’s journey is a common template of stories that involve a hero who goes on an adventure, is victorious in a decisive crisis, and comes home transformed. Writing a book is like a journey too. Writing the first Personal Knowledge Graphs book involved more than one hero and a few crises.  Now the PKG […]

Read More →