SAN FRANCISCO — January 14, 2021 — InfluxData, creator of the time series database InfluxDB, today announced significant growth in 2020 across its cloud business, open source user base, and major new customers. Demand for the time series platform continued to climb across industry sectors, especially for IoT and data streaming use cases.
I hope I’m not alone in starting 2021 with some sense of optimism. While several hard months remain ahead of us, I am hopeful and also expecting that some sense of normality will return by the summer months. Either way, this gives us an opportunity to reflect on the challenges we have faced. 2020 was testing. We learnt a lot about ourselves and our businesses in the most challenging of circumstances.
Indexing the web is hard. There’s a nearly infinite supply of misbehaving sites, misapplied (or ignored) standards, duplicate content, and corner cases to contend with. It’s a big task to create an easy-to-use web crawler that’s thorough and flexible enough to account for all the different content it encounters.
In early October 2020, the Department of Defense released its long-anticipated and much needed Data Strategy. This strategy is the latest installment under the Department’s Digital Modernization Strategy, which was released in July 2019, and focused on the key strategic pillars of enterprise cloud adoption, artificial intelligence, command, control, communications, cybersecurity, and IT reform.
Measuring your machine learning model will help you understand how well your model is doing, how useful it is, and whether your model can perform better with more data. This is what Algorithmia Insights — a feature of Algorithmia Enterprise MLOps platform — does. Algorithmia platform accelerates your time to value for ML by delivering more models quickly and securely, as it is estimated that 85% of machine learning models never make it to production.
Should you run big data workloads on Kubernetes? Not so long ago, most people would have said certainly not. Among the reasons you might have heard: Although early adoption of Kubernetes was dominated by stateless services rather than data-centric applications, more and more teams responsible for big data platforms are now looking to adopt Kubernetes, especially those looking to deploy and operate big data workloads in the cloud.
“We all get our credit cards replaced a lot. Our online ecosystem is getting more complex with the number of accounts we have. We wanted to simplify that, and make it less complicated to get those cards back on file,” says Katherine Chavez, Director of Marketing for Strivve (formerly Switch, Inc.). Strivve is a startup that aims to take the pain out of updating credit and debit cards by automating the updating process.
Today’s cars are computers on wheels, and they’re powered by software as much as they are by batteries or gasoline. When it comes to building software for Audi, Volskwagen, Porsche, Traton, and other brands, that’s a task assigned to Audi Business Innovation (ABI). “Developers need the right tools in their hands that are easy to use,” says Stefan Teubner, an ABI team leader and DevOps engineer.
