Orchestrate all the Things

George Anadiotis

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Jun 17, 2021 • 26min

The biggest investment in database history, the biggest social network ever, and other graph stories from Neo4j. Featuring CEO and Co-founder Emil Eifrem

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 seriously big. If you're into the market and investment side of things, how does a Series F funding round as part of a $325 million investment led by Eurazeo and GV (formerly Google Ventures), bringing Neo4j's valuation to over $2 billion sound? Pretty impressive, probably. If you're into the technology and applications side of things, how does a Neo4j demo of a social network application with 3 billion people, running queries designed to test the limits of graph query languages and databases across a 1000 node cluster sound? Equally impressive, probably. Graph database vendor Neo4j​ CEO and co-founder Emil Eifrem is announcing the former and showcasing the latter today, at the company's annual virtual conference NODES. We caught up with Eifrem to get a taste of things to come. Article published on ZDNet
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Jun 7, 2021 • 1h 6min

Machine learning at the edge: TinyML is getting big. Featuring Qualcomm Senior Director Evgeni Gousev, Neuton CTO Blair Newman and Google Staff Research Engineer Pete Warden

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. Edge computing is booming. Although the definition of what constitutes edge computing is a bit fuzzy, the idea is simple. It's about taking compute out of the data center, and bringing it as close to where the action is as possible. Whether it's stand-alone IoT sensors, devices of all kinds, drones, or autonomous vehicles, there's one thing in common. Increasingly, data generated on the edge are used to feed applications powered by machine learning models. There's just one problem: machine learning models were never designed to be deployed on the edge. Not until now, at least. Enter TinyML. Tiny machine learning (TinyML) is broadly defined as a fast growing field of machine learning technologies and applications including hardware, algorithms and software capable of performing on-device sensor data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices. Article published on ZDNet
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May 28, 2021 • 1h 4min

Graphs as a foundational technology stack: analytics, AI, and hardware. Featuring Neo4j CEO and Founder Emil Eifrem, Graph Data Science Director Alicia Frame

Graphs are everywhere. That has been the motto of graph afficionados for years, and now it seems that the world is waking up to this. How would you feel if you saw demand for your favorite topic, which also happens to be your line of business, grow 1000% in two-years time? Vindicated, overjoyed, and a bit overstretched in trying to keep up with demand, probably. Although Emil Eifrem never used those exact words when we discussed the past, present and future of graphs, that's a reasonable projection to make. Eifrem is the CEO and co-founder of Neo4j, a graph database company which lays claims to having popularized the term "graph database", and to leading the graph database category. Eifrem and Neo4j's story and insights are interesting because through them we can trace what is shaping up as a foundational technology stack for the 2020s and beyond: graphs. "Graph Relates Everything" is how Gartner put it, when including graphs in its top 10 data and analytics technology trends for 2021. Interest is expanding as graph data takes on a role in master data management, tracking laundered money, connecting Facebook friends and powering Google, in search and beyond.  Think Panama Papers researchers, NASA engineers, and Fortune 500 leaders: they all use graphs. Here's why, and how. Article published on VentureBeat. Image: Getty Images
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May 20, 2021 • 29min

Superconductive scores $21M Series A funding to sustain growth of its Great Expectations open source framework for data quality. Featuring CEO and co-founder Abe Gong

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 Technical debt is a well-known concept in software development. It's what happens when unclear or forgotten assumptions are buried inside a complex, interconnected codebase, and it leads to poor software quality. The same thing also applies to data pipelines, it's called pipeline debt, and it's time we did something about it. That's the gist of what motivated Abe Gong and James Campbell to start Great Expectations in 2018. Great Expectations is an open-source tool that aims to make it easier to test data pipelines, and therefore increase data quality. Superconductive, the force behind Great Expectations, has announced it has received $21 million in Series A funding led by Index Ventures with CRV and Root Ventures participating. We caught up with Gong to learn more about Great Expectations. Article published on ZDNet
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May 12, 2021 • 31min

OtterTune sets out to auto tune all the databases. Featuring CEO and co-founder Andy Pavlo

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 Databases are the substrate on which most applications run. Although different applications have different needs served by different databases, they all have one thing in common: they are complex systems that need continuous fine tuning to work optimally. Databases come with a plethora of parameters that can be tuned by "turning knobs". Traditionally, this has been the job of Database Administrators (DBAs). Their job is a hard one, as they need to know the specifics of the database, the hardware it's running on, and the workloads it serves. Some database vendors like IBM, Microsoft and Oracle have taken steps to automate this work. OtterTune is a startup that wants to democratize this capability. Today OtterTune is announcing the private beta of its new automatic database tuning service, as well as an initial $2.5 million seed funding round led by Accel. Article published on ZDNet
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May 5, 2021 • 33min

AI chip startup NeuReality introduces its NR1-P object-oriented hardware architecture. Featuring CEO and co-founder Moshe Tanach

NeuReality targets deep learning inference workloads on the edge, aiming to reduce CAPEX and OPEX for infrastructure owners The AI chip space is booming, with innovation coming from a slew of startups in addition to the usual suspects. You may never have heard of NeuReality before, but it seems likely you'll be hearing more about it after today. NeuReality is a startup founded in Israel in 2019. Today it has announced NR1-P, which it dubs a novel AI-centric inference platform. That's a bold claim for a previously unknown, and a very short time to arrive there -- even if it is the first of more implementations to follow. Article published on ZDNet
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May 3, 2021 • 47min

Open source software economics and community health analytics: Enter CHAOSS. Featuring CHAOSS Project co-founder Georg Link

Trying to capture the value open source software generates can be a bit chaotic. The CHAOSS project may lend a helping hand. By now, the tension between commercial interests and open source projects is well known.  Trying to balance building a sustainable business and a community around open source software, in a cloud-first world is not the easiest thing in the world. In the latest episodes of a long-winding saga, two more commercial open source vendors, Elastic and Grafana, changed their licenses. Their rationale was clearly communicated as trying to protect the business they have built around the respective open source projects from cloud vendors that they feel compete unfairly with them, without contributing as much as they do. Interestingly, all parties involved refer to "the community" as being front and center in what they do. While obviously important, however, what constitutes an open source community, how it's faring, and what value it generates all seem rather vaguely defined. The people working on the CHAOSS project under the auspices of the Linux Foundation want to change that. We caught up with Georg J.P. Link, CHAOSS project co-founder, to find out more. Article published on ZDNet
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Apr 27, 2021 • 30min

This is where you sign up for an open-source AI stack for the future. Featuring AI Infrastructure Alliance Lead Dan Jeffries

Open-source stacks enabled software to eat the world. Some of the most innovative companies in the world are working on building an open-source stack for AI. Dan Jeffries was there when the LAMP stack enabled software to eat the world. Perhaps you don’t know, or remember, what the LAMP stack is, but it's actually pretty important. LAMP is an acronym made out of the initials of key open-source technologies used in software development - Linux, Apache, MySQL, and PHP. These technologies were hotly debated back in the day. Today, they are so successful that the LAMP stack has become ubiquitous, invisible, and boring. AI, on the other hand, is a hot topic today. Just like the LAMP stack turned software development into a commodity and made it a bit boring (especially if you're not a professional software engineer), an AI stack should turn AI into a commodity - and make it a bit boring, except maybe for data engineers. This is what Dan Jeffries is out to do with the AI Infrastructure Alliance (AIIA). Article published on VentureBeat.
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Apr 15, 2021 • 33min

Chainlink 2.0 brings off-chain compute to blockchain oracles, promotes adoption of hybrid smart contracts. Featuring co-founder Sergey Nazarov

A new whitepaper just released by leading blockchain oracle service Chainlink lays the foundation for new capabilities for application and smart contract developers. Chainlink provides an oracle service, enabling smart contracts to interoperate with the world. Today, Chainlink released a whitepaper outlining what they dub Chainlink 2.0. We connected with Chainlink co-founder Sergey Nazarov to discuss what this means. Article published on ZDNet
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Apr 7, 2021 • 1h

Weaviate, an open-source search engine powered by machine learning, vectors, graphs, and GraphQL. Featuring co-founder Bob van Luijt

Google uses machine learning and graphs to deliver search results. Most search engines do not. Weaviate wants to change that. Bob van Luijt's career in technology started at age 15, building web sites to help people sell toothbrushes online. Not many 15 year-olds do that today, and fewer still did it then. Apparently that gave van Luijt enough of a head start to arrive at the confluence of technology trends today. Van Luijt went on to study arts, but ended up working full time in technology anyway. In 2015, when Google introduced its RankBrain Algorithm, the quality of search results jumped up. It was a watershed moment, as it introduced machine learning in search. A few people noticed, including van Luijt, who saw a business opportunity, and decided to bring this to the masses. Article published on ZDNet

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