by Azalio tdshpsk | Apr 8, 2022 | Cloud
Developers and ML engineers face a variety of challenges when it comes to operationalizing Spark ML workloads. One set of challenges may come in the form of infrastructure concerns, for example, how to provision infrastructure clusters in advance, how to ensure that...
by Azalio tdshpsk | Apr 8, 2022 | Cloud
Today, a typical enterprise uses over 100 SaaS applications while large organizations commonly use over 400 apps. These applications contain valuable data on customers, suppliers, employees, products and more, offering the potential for valuable insights and powerful...
by Azalio tdshpsk | Apr 8, 2022 | Cloud
At Mercado Libre, we are obsessed with unlocking the power and potential of data. One of our key cultural principles is to have a Beta Mindset. This means that we operate in a “state of beta”, constantly asking new questions of our data, experimenting with...
by Azalio tdshpsk | Apr 8, 2022 | Cloud
At Google Cloud, we believe that democratizing access to fresh, consistent, enterprise data is the key to driving digital and cultural transformation. This means empowering everyone to leverage rich, governed data sets and harness the power of data — without...
by Azalio tdshpsk | Apr 8, 2022 | Cloud
Without a central place to manage models, those responsible for operationalizing ML models have no way of knowing the overall status of trained models and data. This lack of manageability can impact the review and release process of models into production, which often...
by Azalio tdshpsk | Apr 8, 2022 | Cloud
Throughout my career, I’ve rarely fallen for the hype around emerging technologies. Historically, I’ve learned that it pays to take a skeptical approach and make sure the technology can prove its worth on its own. I pay attention, but I don’t give out “hype” points to...
