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
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
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 →Evaluating and building applications on open source large language models
How do you choose the most appropriate model for your application? An analysis on evaluating and building applications on open source large language models. By George Anadiotis The computational complexity of AI models is growing exponentially, while the compute capability provided by hardware is growing linearly. Therefore, there is a growing gap between those two numbers, […]
Read More →The future of AI chips: Leaders, dark horses and rising stars
The future of AI chips is about more than NVIDIA: AMD, Intel, chiplets, upstarts, analog AI, optical computing, and AI chips designed by AI. By George Anadiotis The interest and investment in AI is skyrocketing, and generative AI is fueling it. Over one-third of CxOs have reportedly already embraced GenAI in their operations, with nearly half […]
Read More →Data management in 2024. Open data formats and a common language for a sixth data platform
What data management in 2024 and beyond will look like hangs on one question. Can open data formats lead to a best-of-breed data management platform? It will take Interoperability across clouds and formats, as well as on the semantics and governance layer. By George Anadiotis Sixth Platform. Atlas. Debezium. DCAT. Egeria. Nessie. Mesh. Paimon. Transmogrification. This […]
Read More →What are the important questions to ask when developing or using AI? Long views on AI, Part 2
What does fairness in AI mean, and is it relevant in your use case? This question is posed by Beena Ammanath. Ammanath is the Global Head of the Deloitte AI Institute, Founder of Humans For AI and Board Member of AnitaB.org, as well as an author. I’ve had the pleasure of conversing with her a couple […]
Read More →What is the right balance between innovation and regulation in AI? Long views on AI, Part 1
What AI model maker would take the risk to make any powerful model if they could be responsible for anything someone might possibly do with it? This question is posed by Dan Jeffries – author, futurist, engineer, and systems architect. I’ve had the pleasure of conversing with him a couple of times. First about the […]
Read More →AI Chips in 2024: NVIDIA, MLPerf benchmarks, Huang’s law, and competition
What we learned on AI Chips in 2024 by keeping track of NVIDIA’s latest announcements, talking to industry experts, and scanning news and analyses By George Anadiotis Exploring AI chips has been a pastime, as a well as a popular theme in Orchestrate all the Things articles. In 2023, we felt like we fell somewhat […]
Read More →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 […]
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