

Orchestrate all the Things
George Anadiotis
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 conversations 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 society and business.
I have been covering topics related to:
AI and Machine LearningData, Analytics and Data ScienceKnowledge Graphs, Graph Databases, Graph AI & Data ScienceInnovation, and a wide array of technologies such as Blockchain, Cloud, Observability, IoT, Open Data and Open Source, Social Media and Software Engineering.
For inquiries, please use https://linkeddataorchestration.com/contact/
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 conversations 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 society and business.
I have been covering topics related to:
AI and Machine LearningData, Analytics and Data ScienceKnowledge Graphs, Graph Databases, Graph AI & Data ScienceInnovation, and a wide array of technologies such as Blockchain, Cloud, Observability, IoT, Open Data and Open Source, Social Media and Software Engineering.
For inquiries, please use https://linkeddataorchestration.com/contact/
Episodes
Mentioned books

Jul 6, 2023 • 49min
Neo4j's roadmap in 2023: Cloud, Graph Data Science, Large Language Models and Knowledge Graphs. Featuring Neo4j CPO Sudhir Hasbe
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.
Article published on Orchestrate all the Things.

Jun 27, 2023 • 30min
Redpanda’s “power to the data engineer” strategy lands a $100M Series C funding round. Featuring Founder / CEO Alex Gallego
In an era of dried-up funding and Data Lakehouse vendor supremacy, Redpanda is going against the grain.
The company just secured a $100 million Series C funding round to execute on an unconventional strategy.
Redpanda Founder and CEO Alex Gallego explains how things work for the company.
Article published on Orchestrate all the Things

Jun 19, 2023 • 1h 14min
The EU AI Act effect: Background, blind spots, opportunities and roadmap. Featuring Aleksandr Tiulkanov, AI, Data & Digital Policy Counsel
The EU Parliament just voted to bring the EU AI Act regulation into effect. If GDPR is anything to go by, that's a big deal.
Here's what and how it's likely to effect, its blind spots, what happens next, and how you can prepare for it based on what we know.
Article published on Orchestrate all the Things

May 11, 2023 • 32min
Foursquare moves to the future with a Geospatial Knowledge Graph. Featuring Distinguished Engineer Vikram Gundeti
From a consumer-oriented application, Foursquare has evolved to a data and product provider for enterprises. The next steps in its evolution will be powered by the Foursquare Graph
If the name Foursquare rings a bell, it means you were around in the 2010s. Your only resort to plausible deniability would be if you are a data professional - although that's not an either/or proposition.
In the 2010s, Foursquare was a consumer-oriented mobile application. The premise was simple: people would check in at different locations and get gamified rewards. Their location data would be shared with Foursquare and used for services such as recommendations.
Facebook and Yelp got the lion's share of that market, but Foursquare is still around. In addition to having 9 billion-plus visits monthly from 500 million unique devices, Foursquare's data is used to power the likes of Apple, Uber and Coca-Cola.
Today the company announced Foursquare Graph, what it dubs the industry’s first application of graph technology to geospatial data.
I caught up with Vikram Gundeti, Distinguished Engineer at Foursquare, to learn more about what kind of data Foursquare deals with, what it does with that data, and how using graph is going to help.
Article published on Orchestrate all the Things

Apr 24, 2023 • 5min
Orchestrate All The Things: Owning Tech, Data, Media, AI, Writing, and Content
On AI-generated content, writing, new, old, and broken media, platforms, models, audiences, and body parts.
An update from the host on launching the Orchestrate All The Things Newsletter, and some insights on Technology, Data, Media, AI, Writing, and Content.
A new type of podcast episode: AI-generated article narrations.
Article published on Orchestrate All The Things.

Mar 18, 2023 • 52min
ScyllaDB’s incremental changes: Just the tip of the iceberg. Featuring ScyllaDB CEO & Co-founder Dor Laor
Is incremental change a bad thing? The answer, as with most things in life, is "it depends". In the world of technology specifically, the balance between innovation and tried and true concepts and solutions seems to have tipped in favor of the former. Or at least, that's the impression reading the headlines gives. Good thing there's more to life than headlines.
The ScyllaDB team is one of those who work with their garage doors up and are not necessarily after making headlines. They believe that incremental change is nothing to shun if it leads to steady progress.
Compared to the release of ScyllaDB 5.0 in ScyllaDB Summit 2022, what ScyllaDB Summit 2023 brought could be labeled “incremental change.” But this is just the tip of the iceberg, as there's more than meets the eye here.
We caught up with ScyllaDB CEO and co-founder Dor Laor to discuss what kept the team busy in 2022, how people are using ScyllaDB, as well as trends and tradeoffs in the world of high performance compute and storage.
Article published on The New Stack

5 snips
Jan 27, 2023 • 48min
Is scaling all you need for AI Large Language Models? Scaling laws and the Inverse Scaling Challenge. Featuring Ian McKenzie, FAR AI Research Scientist
The last couple of years have been an AI model arms race.
The assumption is that the larger the model the better it will perform. But that may not always be the case.
FAR AI Research Scientist Ian McKenzie is a key member of the team organizing the Inverse Scaling Challenge, an initiative set up to investigate scaling laws. We discuss:
Large Language Models and how they are trainedThe scaling laws and how they are being revised as research and development progressesThe Inverse Scaling Challenge and its findings
Article published on Orchestrate all the Things.

Nov 30, 2022 • 34min
Cloud modernization and real-time data is how you cut down costs during downturns according to Striim. Featuring Alok Pareek, Striim Co-founder and EVP of products
Can technology, and real-time technology in particular, help companies achieve savings during economic hardship? Alok Pareek thinks it can.
Pareek is the Co-founder and EVP of products of Striim, a vendor whose goal and motto is to "help companies make data useful the instant it’s born".
Depending on which angle you look at it, you could say that Pareek is either biased or in the know. Either way, it was not so long ago that real-time data, or streaming data as this market is also called, was estimated to be worth billions.
But then again, as the recent wave of layoffs and market capitalization losses goes to show, many projections around technology are off the mark.
Could real-time data be different? Where does cloud modernization come into play and how does Striim's offering relate to that? As Striim today announced the availability of its fully managed Striim Cloud service on Amazon Web Services (AWS), we connected with Pareek to discuss.

Nov 29, 2022 • 40min
Andrew Ng offers AI for retailers with Netail. Featuring Netail CEO Mark Chrystal
Retail is big business. But like many other sectors it's undergoing a transformation, largely affected by the shift of consumer behavior from physical to digital. Many retailers are looking to analytics and AI to help them cope with the challenges.
Andrew Ng, among the most prominent figures in AI, is now turning his sights to doing precisely that with his new venture Netail
Founded in 2022 as part of Landing AI, Netail, a technology that enables retailers to auto-identify competitors across the internet and track their assortments, availability and optimize prices in real-time, today announced the closing of $5M in seed funding.
We connected with retail veteran Mark Chrystal who is Netail's CEO to discuss the changing landscape in retail and Netail's offering.

6 snips
Nov 21, 2022 • 57min
The past, present and future of quantum computing. Featuring D-Wave CEO Alan Baratz
Quantum computing could be a disruptive technology. It's founded on exotic-sounding physics and it bears the promise of solving certain classes of problems with unprecedented speed and efficiency. The problem, however, is that to this day there's been too much promise and not enough delivery.
D-Wave is the company that pioneered quantum computing. In this exclusive interview, D-Wave CEO Alan Baratz talks about about quantum computing fundamentals and how this is related to the market’s current state, real-world clients and use cases, and what the future holds for this space.
Article published on VentureBeat