We’re excited to announce that Zendesk is now available as a pre-built content source, along with a host of others, as part of the Workplace Search application. With more than 130,000 customers in 30 countries, Zendesk has become one of the de facto customer service platforms in the world. Each day, millions of users interact with support agents via the cloud-based tool regardless of the support channel they choose.
With Elasticsearch machine learning one can build regression and classification models for data analysis and inference. Accurate prediction models are often too complex to understand simply by looking at their definition. Using feature importance, introduced in Elastic Stack 7.6, we can now interpret and validate such models.
Cloud applications don’t just run flawlessly by way of magic. Many things can go wrong, and rest assured some will go wrong at one point. For small teams, this can be cumbersome and take a toll at the development speed. A monitoring system will detect these issues on behalf of the development team, so that they can act accordingly. At Dashbird, we think there’s much more to it, though, than just detecting and alerting issues, especially for small teams of developers.
Alex Hidalgo is a Site Reliability Engineer at Squarespace, and he’s currently writing a book called Implementing Service Level Objectives for O’Reilly Media. The first three chapters of the book are available now through O’Reilly’s early access program. I had a chance to read those chapters and ask Alex some questions about service level objectives and reliability. Thanks, Alex, for sharing your knowledge.
At Cloudsmith, we are always looking for new ways to make our customers’ lives easier, more efficient and more highly automated. With this in mind we are extremely excited to announce that we have developed an official Cloudsmith Zapier integration!
In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will bring to AI products. In this part we will go deeper into how you can benefit from this new opportunity.
In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will bring to AI products. In part 2 we went deeper into how you can benefit from this new opportunity. In this part we will focus on the key technical barriers that 5G and Edge compute remove for AI applications.