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

BusinessCloudGraph DatabasesInterviewNewsOpen SourceTechnical

The biggest investment in database history, the biggest social network ever, and other graph stories from Neo4j

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.

Jun 17, 20211 min read

AI / Machine LearningAnalysisBusinessInterviewTechnical

Machine learning at the edge: TinyML is getting big

Being able to deploy machine learning applications at the edge is the key to unlocking a multi-billion dollar market. TinyML is the art and science of producing machine learning models frugal enough to work at the edge, and it's seeing rapid growth.

Jun 7, 20212 min read

AnalysisBusinessDataFeaturedGraphinnovationInterviewTechnical

Graphs as a foundational technology stack: Analytics, AI, and hardware

How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in trying to keep up with demand, probably.

May 28, 20212 min read

BusinessData GovernanceInterviewNewsOpen SourceTechnical

Superconductive scores $21M Series A funding to sustain growth of its Great Expectations open source framework for data quality

Ensuring data quality is essential for analytics, data science and machine learning. Superconductive's Great Expectations open source framework wants to do for data quality what test-driven development did for software quality

May 20, 20212 min read

AI / Machine LearningBusinessDataInterviewNewsTechnical

It’s all about the data: Explorium’s bet pays off in $75M Series C funding

Data science and machine learning are being commoditized, so it's the datasets that make the difference in the end. That's the thesis startup Explorium is capitalizing on.

May 18, 20212 min read

AI / Machine LearningBusinessDatabasesInterviewNewsTechnical

OtterTune sets out to auto tune all the databases

Tuning databases is key to application performance and stability, but it's a hard job. Auto-tuning helps, but it was reserved for the Oracles and Microsofts of the world till now. OtterTune wants to democratize this capability

May 12, 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.