It's time again for the Cloud Foundry Summit Europe, a hugely successful gathering of Cloud Foundry and PaaS focused companies eager to expand their application development knowledge on the Cloud Foundry platform. Cloud Foundry allows developers the freedom to abstract away infrastructure and focus on the task: mission-critical applications.
As an IBM Developer Advocate, I get to come up with cool demos for events and conferences that showcases the technology IBM Cloud has to offer developers. For a community event, I built a TJBot photo booth, using the famous TJBot to capture photos using a Raspberry Pi camera and send them via Twilio. If you're feeling brave, you can go right to the code on GitHub. Otherwise, read on to discover how I turned this powerful little robot into a photo booth!
At the upcoming Serverless Conference, the OpenWhisk team will run a workshop to teach basic concepts of serverless computing in general and the Apache OpenWhisk platform in particular.
In a recent study on DevOps-driven innovation, Forrester Research reminds us that "DevOps is about people first." Implicitly, at whatever velocity, a DevOps program that fails to innovate on customer experience is like running in place.
When a company spots a lucrative gap in the market or comes up with an innovative new business model, it can trigger sudden, exponential growth. However, many growing enterprises fail to sustain their initial surge in momentum—or may even collapse dramatically.
There are several cases where it is useful to be able to stand up additional WebSphere capacity for a limited time period, without needing to worry about data center server capacity and software licenses. Typical examples include batch type workloads, test of new code at infrequent intervals, maybe as part of an overall application modernization strategy.
Imagine you’re interviewing a new job applicant who graduated top of their class and has a stellar résumé. They know everything there is to know about the job, and has the skills that your business needs. There’s just one catch: from the moment they join your team, they’ve vowed never to learn anything new again. You probably wouldn’t make that hire, because you know that lifeMachine Learning Brainlong learning is vital if someone is going to add long-term value to your team. Yet when we turn to the field of machine learning, we see companies making a similar mistake all the time. Data scientists work hard to develop, train and test new machine learning models and neural networks. However, once the models get deployed, they don’t learn anything new. After a few weeks or months, become static and stale, and their usefulness as a predictive tool deteriorates.
We are announcing the retirement of the Watson Document Conversion (DCS) and Watson Retrieve and Rank (R&R) services. Current users can take advantage of the evolved capabilities in these services by switching to Watson Discovery.