Communications of the ACM
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Teaching Data Science Research Methods to Human Resources Practitioners – Part 4
We believe programming experience is crucial for human resources practitioners in the data and tech era.
From BLOG@CACM
Why Is It Hard to Define Data Science?
Data science can be described as a science, as a research paradigm, as a research method, as a discipline, as a workflow, and as a profession.
From BLOG@CACM
The Legacy of Peer-to-Peer Systems
What happened to peer-to-peer as a technological concept?
From BLOG@CACM
What Does Meta AI's Diplomacy-Winning Cicero Mean for AI?
Hint: It's not all about scaling.
From BLOG@CACM
Stack Ranking: Organizational Cancer
If only the best are hired, why isn't everybody great?
From BLOG@CACM
Starlink's Critical Vulnerability, or Elon Musk is Not Worrying in Vain
We analyze the operations of the Starlink Global Satellite System deployed by SpaceX, in terms of its security and resilience.
From BLOG@CACM
Data Loss Prevention vs. Data-Centric Audit and Protection: What Is the Difference?
A look at the typical tasks solved by DCAP systems, and how they differ from those solved by DLP systems.
From BLOG@CACM
Data Governance and the Psychology of Tension Management
The balancing of the chaos of no data tension and too much tension on data assets is what data governance frameworks and processes attempt to manage.
From BLOG@CACM
In Pursuit of an International Computation Center in Europe
The story of the UNESCO International Computation Center.
From BLOG@CACM
DevSecOps: Resolving Disagreements Between Developers and Security Teams
Conflicts and disputes can arise between these adjacent teams; it is impossible to avoid them in the process of launching new products. And they certainly require...
From BLOG@CACM
A Challenge of Membership
How can we solve ACM membership fee payment problems for Russians and Belarussians?
From BLOG@CACM
A History of One Brute-Force Attack
A classic brute-force attack boils down to guessing credentials. In my scenario, though, the perpetrators acted somewhat differently.
From BLOG@CACM
Why Are There So Many Programming Languages?
Most languages differ less in what they make possible, and more in terms of what they make easy.
From BLOG@CACM
Enterprise Metrics and Optimization
Metrics are critical; without them, you are flying blind. But be careful what you try to optimize, because you might just get it.12