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
Mar 30, 2021 • 55min
Databases, graphs, and GraphQL - past, present, and future. Featuring Manish Jain, Dgraph CTO and founder, and Josh McKenzie, Apollo VP of Software Engineering
GraphQL was never conceived as a query language for databases. Yet, it's increasingly being used for this purpose. Here's why, and how.
Manish Jain and Josh McKenzie are both engineer rock stars who wear many hats. They also have something else in common: they are both avid GraphQL users and builders, despite getting there from different start points.
Article published on ZDNet
Mar 29, 2021 • 40min
Data, analytics, machine learning, and AI in healthcare in 2021. Featuring Gradient Flow Principal Ben Lorica and John Snow Labs CTO David Talby
What do you get when you juxtapose two of the hottest domains today - AI and healthcare? A peek into the future, potentially.
In 2020, few things went well and saw growth. Artificial intelligence was one of them, and healthcare was another one. Artificial intelligence remained on a steady course of growth and further exploration -- perhaps because of the Covid-19 crisis. Healthcare was a big area for AI investment.
Today, the results of a new survey focusing precisely on the adoption of AI in healthcare are being unveiled. We caught up with 2 of its architects: Gradient Flow Principal Ben Lorica, and John Snow Labs CTO David Talby, to discuss findings and the state of AI in healthcare.
Article published on ZDNet.
Mar 23, 2021 • 53min
IOTA still wants to build a better blockchain, and get it right this time. Featuring IOTA Foundation Co-Founder and CEO Dominik Schiener
In 2014, IOTA set out to offer an alternative to the key issues with blockchain: Scalability and transaction fees. Somewhere along the way, things went wrong. Not everything is lost, however, and IOTA is looking to regain momentum.
IOTA's main premise, namely solving the issues around blockchain by introducing a different data structure, remains. IOTA, like blockchains such as Bitcoin or Ethereum, is a distributed ledger. Unlike those, however, the data structure it uses is a directed acyclic graph, called the Tangle.
We discuss with IOTA Foundation Co-founder and CEO, Dominik Schiener, on what IOTA got wrong, what it got right, and what is being done to build on what it got right and fix what it got wrong.
Starting with the release of a new wallet, IOTA has been reinvented and rewritten from the ground up over the last one and a half years. This new phase of the project is called Chrysalis, introducing a network upgrade. It promises a truly decentralized solution with high throughput and no transaction fees, oracles, and smart contracts.
Article published on ZDNet
Mar 17, 2021 • 33min
OctoML scores $28M to go to market with open source Apache TVM, a de facto standard for MLOps. Backstage chat with CEO Luis Ceze
Machine learning operations, or MLOps, is the art and science of taking machine learning models from the data science lab to production.
It's been a hot topic for the last couple of years, and for good reason. Going from innovation to scalability and repeatability are the hallmarks of generating business value, and MLOps represents precisely that for machine learning.
Apache TVM has become a de facto standard in MLOps, and OctoML is the company gearing its commercialization and scale up.
As OctoML secured a $28 million Series B funding round, we caught up with its CEO and co-founder Luis Ceze to discuss TVM, OctoML, and MLOps.
Article published on ZDNet
Feb 24, 2021 • 30min
Cutting edge Katana Graph scores $28.5 Million Series A Led by Intel Capital. Backstage chat with CEO Keshav Pingali
Another day, another funding round in the graph market
Katana Graph, a high-performance scale-out graph processing, AI and analytics company, announced a $28.5 million Series A financing round led by Intel Capital.
We discuss with Keshav Pingali, Katana Graph CEO and co-founder, on the company's background, technology, and prospects
Article published on ZDNet
Feb 17, 2021 • 49min
Up and to the right: TigerGraph scores $105 million Series C funding, the Graph market is growing. Featuring TigerGraph CEO Yu Xu, COO Todd Blaschka
The largest funding round to date in the graph market is good news not just for TigerGraph, but for the market at large.
We review TigerGraph's progress and the market landscape with TigerGraph CEO Yu Xu and COO Todd Blaschka
Article published on ZDNet
Feb 3, 2021 • 31min
AI chips in the real world: interoperability, constraints, cost, energy efficiency, models. Featuring Determined AI CEO / Founder, Evan Sparks
As it turns out, the answer to the question of how to make the best of AI hardware may not be solely, or even primarily, related to hardware
Today's episode features Determined AI CEO and Founder, Evan Sparks. Sparks is a PhD veteran of Berkeley's AmpLab with a long track record of accurate predictions in the chip market.
We talk about an interoperability layer for disparate hardware stacks, ONNX and TVM -- two ways to solve similar problems, AI constraints and energy efficiency, and Infusing knowledge in models
Article published on ZDNet
Jan 27, 2021 • 30min
Pinecone, a serverless vector database for machine learning, leaves stealth with $10M funding. Backstage chat with CEO Edo Liberty
Vectors are foundational for machine learning applications. Pinecone, a specialized cloud database for vectors, has secured significant investment from the people who brought Snowflake to the world. Could this be the next big thing?
Article published on ZDNet
Jan 26, 2021 • 5min
2021 technology trend review, part 2: AI, Knowledge Graphs, and the COVID-19 effect
AI chips, MLOps, and ethics. Knowledge, and Graphs. COVID-19 as a mixed bag for technological progress and adoption
Article published on ZDNet
Jan 12, 2021 • 7min
2021 Technology trend review, part 1: Blockchain, Cloud, Open Source
Blockchain's DeFi-ning moment. Cloud, Kubernetes, and GraphQL. Open source is winning, open source creators are losing. A reality check on key technological drivers for the new decade.
Article published on ZDNet
