Orchestrate all the Things

OctoML is announcing the latest release of its platform to automate deployment of production-ready models across the broadest array of clouds, hardware devices and machine learning acceleration engines. Article published on ZDNet

55.000 projects, 30.000 developers, $54M funding, and customers including the likes of NASA, in a bit over 2 years. Edge Impulse is riding the wave of machine learning at the edge. Article published on ZDNet

RocksDB is the secret sauce underlying many data management systems. Speedb is a drop-in replacement for RocksDB that offers a significant boost in performance and now powers Redis on Flash. Article published on ZDNet

SambaNova just added another offering under its umbrella of AI-as-a-service portfolio for enterprises: GPT language models. As the company continues to execute on its vision, we caught up with CEO Rodrigo Liang to look both at the big picture and under the hood. Article published on ZDNet

A number of successive funding rounds have given Yugabyte unicorn status, while positioning the company to aim for a big piece of a growing pie in the shape-shifting database market Article published on ZDNet

Knowledge graphs are probably the best technology we have for data integration. But what about application integration? Knowledge graphs can help there, too, argues EnterpriseWeb Article published on ZDNet

IOTA is unveiling its smart contracts, with a clear onboarding path and many interesting features for developers. We discuss this release, as well as progress made since moving to the new network and other new features in the works with IOTA Foundation co-founder and CEO Dominik Schiener. Article published on ZDNet

It's this time of year again: reports on the state of AI for 2021 are out.  In what is becoming a valued yearly tradition, we caught up with AI investors and authors of the State of AI report , Nathan Benaich and Ian Hogarth, to discuss the 2021 release. Some of the topics we covered are lessons learned from operationalizing AI and MLOps, new concepts and datasets, language models, AI ethics, and...

Appwrite, an open source platform that offers a slew of features to developers, aims to capitalize on its grass-roots popularity. Article published on ZDNet

A multi-trillion dollar business in crisis, upending incumbents, unfettered ambition, and pragmatic deep learning. FLYR's story has it all. Article published on ZDNet

Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem. Arm's partner ecosystem exemplifies this, with hardware and software vendors like Alif and Neuton working together. Article published on ZDNet

Will Deep Learning really be able to do everything? We don't really know.  But if it's going to, it will have to assimilate how classical computer science algorithms work. This is what DeepMind is working on, and its success is important to the eventual uptake of neural networks in wider commercial applications. This work goes by the name of Neural Algorithmic Reasoning. Join us as we discuss root...

MLOps is the art and science of bringing machine learning to production, and it means many things to many people. The State of MLOps is an effort to define and monitor this market Article published on ZDNet

GraphQL is a specification that came at just the right time to address an age-old issue in software engineering: service integration. Apollo's implementation is seeing lots of traction, and it just got more gas in the tank for its grand vision that goes well beyond integration. Article published on ZDNet

Machine learning is eating the world, and spilling over to established disciplines in software, too. After MLOps, is the world ready to welcome MLGUI? Philip Vollet is somewhat of a celebrity, all things considered. Miley Cyrus or Lebron James he is not, at least not yet, but if data science lives up to the hype , who knows. As the senior data engineer with KPMG Germany, Vollet leads a small team...

Open source software used to be poorly understood by commercial forces, and it's often approached in a biased way. A new generation of investment funds goes to show that things are changing. Open source software is a lot of things to a lot of people. For some people -- engineers, mostly -- it's a way to work on their passion, be involved in a community, and give something back to the world. For ot...

It's a data terminology mess out there. Let's try and untangle it, because there's more to words than lingo. Hopefully technology investment decisions in your organization are made based on more than hype. But as technology is evolving faster than ever, it's hard to keep up with all the terminology that describes it. Some people see terminology as an obfuscation layer meant to glorify the ones who...

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 in...

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 ou...

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 tho...

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,...

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 co...

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. T...

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...

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 tech...