Systems | Development | Analytics | API | Testing

Organizations Grapple with Skyrocketing Cloud Costs, Anodot Survey Finds

The pandemic upended business for many or at the very least cast a grim shade of uncertainty, so, as many took to working from home, they also were commissioned with cutting waste. Among the biggest sources of misspend in 2020 – cloud services. And remote work may have actually spurred the problem, as organizations migrate more applications to the cloud to support these workers.

Interview with Cybersecurity Specialist Jen Ayers

For our latest specialist interview in our series speaking to technology leaders from around the world, we’ve welcomed the COO of DNSFilter, Jen Ayers to share her insights from the world of cybersecurity including the latest trends she is seeing on the rise and what business leaders need to keep in mind for the rest of 2021.

PII Substitution: 4 Ways to Protect Your Sensitive Data

News of the latest massive data breach is always in the headlines. How can you avoid being next on the list? In order to function, businesses of all sizes and industries need to collect personally identifiable information (PII) about their employees and customers—but they also need to take proactive steps to keep this information secure and defend against PII breaches. PII substitution is an effective tactic to shield your sensitive and confidential data from prying eyes.

Recruiting and Building the Data Science Team at Etsy

In this episode of Data+AI Battlescars (formerly CDO Battlescars), Sandeep Uttamchandani talks to Chu-Cheng, CDO at Etsy. This episode focuses on Chu-Cheng’s battlescars related to recruiting and building a data science team. Chu-Cheng leads the global data organization at Etsy. He’s responsible for data science, AI innovation, machine learning and data infrastructure. Prior to Etsy, Chu-Cheng has led various data roles, including at Amazon, Intuit, Rakuten and eBay.

Asking Developers to Do QA Is Broken. Here's Why We Built a Product to Let Anyone Own QA.

Many software companies have no formal quality assurance strategy, and those that do take one of two inherently flawed approaches: Either they (a) ask developers to do QA or (b) delegate QA to a siloed team, whether it’s internal or outsourced. Having been in the QA space for a decade, we’ve learned that both approaches are deeply flawed.

[MLOPS] The Clear SHOW - S02E09 - All your "stores" are belong to us!

G. Raffa describes our new arc: We are going to build a "model store" using the open-source MLOps engine! Tell us what you think of his plan in the comments below! ClearML is the only open source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment. ClearML is the foundation of your data science team. Don’t see the functionality you need? Build on top of it in a snap.