Operationalizing Machine Learning: An Interview Study

Organizations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalizing ML, or MLOps, consists of a continual loop of (i) data collection and labeling, (ii) experimentation to improve ML performance, (iii) evaluation throughout a multi-staged deployment process, and Read more…

Customer Guidance for Reported Zero-day Vulnerabilities in Microsoft Exchange Server.

Microsoft is investigating two reported zero-day vulnerabilities affecting Microsoft Exchange Server 2013, 2016, and 2019. The first vulnerability, identified as CVE-2022-41040, is a Server-Side Request Forgery (SSRF) vulnerability, while the second, identified as CVE-2022-41082, allows remote code execution (RCE) when PowerShell is accessible to the attacker.   At this time, Microsoft Read more…

Mining Legal Arguments in Court Decisions

Identifying, classifying, and analyzing arguments in legal discourse has been a prominent area of research since the inception of the argument mining field. However, there has been a major discrepancy between the way natural language processing (NLP) researchers model and annotate arguments in court decisions and the way legal experts Read more…

Google Cloud Security Overview.

When you think about Cloud Security there are many areas of responsibility – securing infrastructure, network, data, applications, and managing identities and access. There are also ongoing processes for security operations and governance, risk & compliance management. But the best part of building your application on cloud is that you Read more…

A Better Way to Put Your Data to Work

Most companies struggle to capture the enormous potential of their data. Typically, they launch massive programs that try to meet the needs of every data end user or have individual application-development teams set up customized data pipelines that can’t easily be repurposed. Firms instead need to figure out how to Read more…