Orchestrate all the Things

George Anadiotis

Episodes

Mentioned books

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Nov 6, 2023 • 1h

Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale. Featuring Aerospike CPO Lenley Hensarling

“Graph database growth is going strong through the Trough of Disillusionment.” And “Graph Analytics go big and real-time.” These were two of the headlines of the Spring 2023 update of the Year of the Graph newsletter. In combination, they seem like an appropriate summary of the reasoning behind a new entry in the graph database market: Aerospike Graph, which Aerospike officially unveiled in June 2023. We caught up with the company’s Chief Product Officer Lenley Hensarling to discuss this long journey that started about three years ago, as well as Aerospike's differentiation in a very densely populated market. Article published on Orchestrate all the Things.
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Oct 16, 2023 • 37min

LinkedIn's feed evolution: more granular and powerful machine learning, humans still in the loop. Featuring LinkedIn Senior Director of Engineering Tim Jurka and Staff Software Engineer Jason Zhu

LinkedIn is a case study in terms of how its newsfeed has evolved over the years. LinkedIn's feed has come a long way since the early days of assembling the machine learning infrastructure that powers it. Recently, a major update to this infrastructure was released. We caught up with the people behind it to discuss how the principle of being people-centric translates to technical terms and implementation. Article published on Orchestrate all the Things
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Sep 21, 2023 • 42min

Useful Sensors launches AI in a Box, aiming to establish a different paradigm for edge computing and TinyML. Featuring Pete Warden, Useful Sensors CEO / Founder

Would you leave a Google Staff Research Engineer role just because you want your TV to automatically pause when you get up to get a cup of tea? Actually, how is that even relevant, you might ask. Let's see what Pete Warden, former Google Staff Research Engineer and now CEO and Founder of Useful Sensors, has to say about that. Although naturally much of what he did was based off things others were already working on, Warden is sometimes credited as having kickstarted the TinyML subdomain of machine learning. Either way TinyML is getting big, and Warden is a big part of it. Useful Sensors is Warden's latest venture. They just launched a product called AI in a Box, which they dubs an "offline, private, open source LLM for conversations and more". Even though it's not the first product Useful Sensors has created, it's the first one that's officially launched. That was a good opportunity to catch up with Warden and talk about what they are working on. Article published on Linked Data Orchestration
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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.
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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
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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
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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
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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.
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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
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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.

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