Connecting the dots with George Anadiotis: Analyst, Consultant, Engineer, Founder, Host, Researcher, and Writer
Stories about Tech, Data, AI and Media and how they flow into each other shaping our lives
I’ve engaged from the likes of Gary Marcus and Andrew Ng to emerging thinkers and innovators across multiple domains.
My stories have been featured on ZDNet and VentureBeat, and are syndicated across DZone, Hackernoon, Medium and Substack.
Some might call this futurism; let’s just say it’s connecting the dots.
Many of my stories have a technical focus. Most also examine business perspectives and use cases, while others are socio-technical.
Some are analyses on emerging themes – picking them up early, featuring expert comment, or offering alternative takes.
Others cover breaking news, typically also featuring the people behind them plus some analysis. There are some book reviews as well.
I focus on the connection between data, analytics, data science, graphs, machine learning and AI and their impact on business and society.
I have been covering topics related to:
AI and Machine Learning
Data, Analytics and Data Science
Knowledge Graphs, Graph Databases, Graph Analytics & Data Science
Innovation, and a wide array of technologies such as Blockchain, Cloud, Observability, IoT, Open Data and Open Source, Social Media and Software Engineering.
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 […]
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 […]
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, […]
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 […]
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 […]
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 […]
