Systems | Development | Analytics | API | Testing

Machine learning is a practice that is evolving and developing every day. Newfound technologies, inventions and methodologies are being introduced to the community on a daily basis. As ML professionals, we can enrich our knowledge and become better at what we do by constantly learning from each other. But with so many resources out there, it might be overwhelming to choose which ones to stay up-to-date on. So where is the best place to start?

Greek philosopher Heraclitus wasn’t talking about the challenge of today’s enterprise IT landscape but the quote certainly fits. From the advent of the first digital computer in the 1940s to the emergence of first public cloud in 2004, the rate of change has only accelerated. In fact, over 60% of corporate data resides in the cloud in 2022, up from 50% last year.

The InstantiationException is a runtime exception in Java that occurs when an application attempts to create an instance of a class using the Class.newInstance() method, but the specified class object cannot be instantiated. Since the InstantiationException is an unchecked exception, it does not need to be declared in the throws clause of a method or constructor.

Vaccine development became the top priority for the life sciences industry – delivering new vaccines at unprecedented speed and maneuvering large-scale production processes. Numerous factors helped accelerate the vaccine roll-out including prior research, genome sequencing, jumping the FDA approval queue and a plethora of testing volunteers. So now that we’ve experienced these advancements, how can the industry keep momentum to speed-up innovative solutions across healthcare?

In this Kongcast episode, Henrik Blixt, Product Manager for Argo at Intuit, gives an introduction to Argo, an open source tool for Kubernetes and incubating project of CNCF. Check out the transcript and video from our conversation below, and be sure to subscribe to get email alerts for the latest new episodes.

A global leader in pharmaceuticals found themselves faced with a unique spin on a common challenge: Their biopharmaceutical division — responsible for producing vaccines and generating over $1 billion in annual sales — was struggling to turn raw data into trusted insights. Data underlies everything the global pharmaceutical company does, however, without data they can trust, they would be at risk of taking longer to get vaccines to market and incurring higher expenses along the way.