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.

Join the Orchestrate all the Things Newsletter

Stories about how Technology, Data, AI and Media flow into each other shaping our lives.

Analysis, Essays, Interviews and News. Mid-to-long form, 1-3 times per month.

Browse previous issues

You can find Featured articles here, or browse by Type, Focus or Topic

AI / Machine LearningAnalysisFeaturedinnovationInterviewTechnical

DeepMind aims to marry deep learning and classic algorithms

Will deep learning really live up to its promise? We don’t actually know. But if it’s going to, it will have to assimilate how classical computer science algorithms work. This is what DeepMind is working on, and its success is important to the eventual uptake of neural networks in wider commercial applications.

Sep 10, 20212 min read

AnalysisInterviewMLOpsTechnical

The state of MLOps in 2021

MLOps is the art and science of bringing machine learning to production, and it means many things to many people. The State of MLOps is an effort to define and monitor this market.

Sep 3, 20211 min read

BusinessDataGraphInterviewNewsOpen SourceSoftware EngineeringTechnical

Apollo GraphQL announces $130 Million Series D Funding, wants to define its own category

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

Aug 17, 20212 min read

AnalysisFeaturedResponsible AISocio-Technical

AI ethics in the real world: FTC commissioner shows a path toward economic justice

FTC Commissioner Rebecca Kelly Slaughter lays out machine learning and AI's potential for harm and outlines some ways for the FTC to counter it.

Aug 13, 20212 min read

Graph AI & Machine LearningGraph DatabasesInterviewNewsTechnical

Amazon Neptune update: Machine learning, data science, and the future of graph databases

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.

Jul 30, 20212 min read

AI / Machine LearningAnalysisFeaturedInterviewTechnical

Building MLGUI, user interfaces for machine learning applications

Machine learning is eating the world, and spilling over to established disciplines in software, too. After MLOps, is the world ready to welcome MLGUI (Machine Learning Graphical User Interface)?

Jul 19, 20212 min read

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Join the Orchestrate all the Things Newsletter

Stories about how Technology, Data, AI and Media flow into each other shaping our lives.

Analysis, Essays, Interviews and News. Mid-to-long form, 1-3 times per month.