

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

Jun 23, 2022 • 48min
Graphs to trees: data, metrics, analytics and regulation for sustainability. Featuring Neural Alpha CEO / Founder James Phare
What does sustainability actually mean for organizations? Can it be measured, and if yes, how? Obvious questions with less than obvious answers, even for sustainability and ESG professionals like James Phare.
Phare shares his experience and assessment of sustainability and its relationship with the ESG space, its current state and trajectory, and how data and analytics can help.

Jun 20, 2022 • 60min
You.com is taking on Google with AI, apps, privacy, and personalization. Featuring CEO / Founder Richard Socher
Award-winning AI research - check. Startup and enterprise experience - check. Venture capital and Mark Benioff backing - check. Is that enough for Richard Socher's you.com to take on Google?
Here is why and how he aims to do that.
Article published on ZDNet

Jun 6, 2022 • 39min
Decision intelligence wants to automate decision making - but how far can you take this? Featuring Aera Technology Founder / CTO Shariq Mansoor
Decision intelligence is one of those terms that sound vaguely familiar, even if you've never come across it before. Like many category-defining terms, it can mean different things to different people. This is a feature category-defining terms either have by design, or acquire through extensive use.
In October 2021, Gartner identified DI as a 2022 Top Trend. A number of vendors have identified with that category, and Aera Technology is among them, claiming to have been doing DI before it was called DI.
Today, Aera is announcing new capabilities for its Aera Decision Cloud at the Gartner Supply Chain Symposium/Xpo™ 2022. Aera founder and CTO Shariq Mansoor weighed in on DI, Aera's offering, and how it is relevant for supply chains and beyond.
Article published on VentureBeat

May 26, 2022 • 27min
Managing disaster and disruption with AI, one tree at a time. Featuring AiDash co-founder and CEO Abhishek Singh
It sounds like a contradiction in terms, but disaster and disruption management is a thing. Disaster and disruption is precisely what ensues when catastrophic natural events occur, and unfortunately, the trajectory the world is on seems to be exacerbating the issue. In 2021 alone, the US experienced 15+ weather/climate disaster events with damages exceeding $1 billion.
Previously, we have explored various aspects of the ways data science and machine learning intertwine with natural events - from weather prediction, to the impact of climate change on extreme phenomena and measuring the impact of disaster relief. AiDash, however, is aiming at something different: helping utility and energy companies as well as governments and cities manage the impact of natural disasters, including storms and wildfires.
We connected with AiDash co-founder and CEO Abhishek Singh to learn more about its mission and approach, as well its newly released Disaster and Disruption Management System (DDMS)
Article published on ZDNet

May 25, 2022 • 44min
Could machine learning and operations research lift each other up? Featuring Funartech CEO / Founder Nikolaj van Omme
Is deep learning really going to be able to do everything? Opinions on the potential of this opinion to prove true vary. Geoffrey Hinton, awarded for pioneering deep learning, is not entirely unbiased in so opining. However others, including Hinton's deep learning collaborator Yoshua Bengio, are looking to infuse deep learning with elements of a domain still under the radar: operations research.
Machine learning and its deep learning variety are practically household names by now. There is lots of hype around deep learning, as well as a growing number of applications. However, as applications of deep learning are proliferating, its limitations are also becoming better understood. Presumably that's the reason why Bengio turned his attention to operations research.
In 2020, Bengio and his collaborators surveyed recent attempts, both from the machine learning and operations research communities, at leveraging machine learning to solve combinatorial optimization problems. They advocate for pushing further the integration of machine learning and combinatorial optimization and detail a methodology to do so.
To this day, however, there is no publicly visible operations research renaissance to speak of, and commercial applications remain few compared to machine learning. Nikolaj van Omme and Funartech want to change that.
Article published on VentureBeat

May 24, 2022 • 29min
Alation announces Open Data Quality Initiative as part of its data intelligence strategy. Featuring CEO / Co-founder Satyen Sangani
Data quality is part of data intelligence. It's a topic that lot of people are concerned about, and it makes engagement and adoption around data intelligence solutions better. With many data quality solutions with different approaches available in the market, customers need to be able to choose the one that works best for them.
Plus, if you are someone like Alation, a vendor whose core business is not data quality -- if you can't beat them, join them. As Alation CEO and co-founder Satyen Sangani shared, that was the thinking behind today's announcement of the Alation Open Data Quality Initiative (ODQI) for the modern data stack.
As Alation notes, the program provides customers with the freedom of choice and flexibility when choosing the best data quality and data observability vendors to fit the needs of their modern, data-driven organizations. We caught up with Sangani to discuss the ODQI and where it fits in the broader data intelligence landscape, as well as Alation's strategy and evolution.
Article published on VentureBeat

May 18, 2022 • 46min
Wayve is working with Microsoft to tackle end-to-end deep learning-based autonomous driving. Featuring Wayve CEO / Co-founder Alex Kendall
Circa 2017, there was a lot of hype around autonomous driving. If one were to take that at face value, it would mean that by now autonomous driving would have been a reality already. Apparently that's not the case, and Alex Kendall claims to have known that all along. Still, that did not stop him from setting out then, and he's still working on it today.
Kendall is the co-founder and CEO of Wayve, a company founded in 2017 to tackle the challenge of autonomous driving based on a deep learning approach. Today, Wayve announced a partnership with Microsoft to leverage the supercomputing infrastructure needed to support the development of AI-based models for autonomous vehicles on a global scale.
We caught up with Kendall to discuss Wayve's philosophy and approach, its current status, as well as where the partnership with Microsoft fits in. Spoiler alert: this is not your typical "commercial application provider partners with cloud vendor" story.
Article published on VentureBeat

May 12, 2022 • 33min
Viable secures $5M funding to go to market with AI-powered customer feedback analytics. Featuring CEO / Co-founder Dan Erickson
There is an implicit assumption in most analytics solutions: the data being analyzed, and the insights derived, are almost exclusively quantitative. That is, they refer to numerical data, such as number of customers, sales, and the like.
But when it comes to customer feedback, perhaps the most important data is qualitative: text contained in sources such as feedback forms and surveys, tickets, chat and email messages. The problem with that data is that, while valuable, they require domain experts and a lot of time to read through and classify. Or at least, that was the case up until now.
This is the problem Viable is looking to address.
Article published on VentureBeat

May 12, 2022 • 27min
The EU AI Act: What you need to know, How to improve it. Featuring Mozilla Foundation Executive Director Mark Surman and Senior Policy Researcher Maximilian Gahntz
After data privacy and GDPR, the EU wants to leave its mark on AI by regulating it with the EU AI Act.
Here's what it is, what it means for the world at large, when it's expected to take effect, how it will work in practice, as well as Mozilla's recommendations for improving it, and ways for everyone be involved in the process.
Article published on ZDNet

Apr 27, 2022 • 30min
Streaming graph analytics: From cybersecurity to the world with open source Quine and thatDot. Featuring thatDot CEO / Founder Ryan Wright
What do you get when you combine two of the most up-and-coming paradigms in data processing - streaming and graphs? A potential game-changer, and this is the bet first DARPA and now CrowdStrike Falcon Fund have taken on thatDot and its open source framework Quine.
The CrowdStrike Falcon Fund is an investment vehicle managed by CrowdStrike, in partnership with Accel, that makes cross-stage private investments within cybersecurity and adjacent markets.
DARPA is also known to have an interest in cybersecurity, and this is what motivated the decision to fund the development of a framework recently released by thatDot as an open source project dubbed Quine.
Many solutions exist on the market both for streaming data processing as well as for graph analytics, oftentimes working in tandem. However, thatDot Founder and CEO Ryan Wright claims that Quine's technology is unique, enabling it scale to orders of magnitude beyond what any other system today is capable of.
We caught up with Wright to discuss the key premises behind Quine and thatDot, as well as the practical aspects of using Quine and the next steps in its evolution.
Article published on VentureBeat


