Assessing AI skills is now my life, and here’s what it taught me
Article · Mr Ozan Dagdeviren · Oct 9Loading…
Data Science Articles & News
Fig. 1 — Latest Q&A
Conflicting analytics metrics can slow decisions, create credit disputes, and delay delivery. Experts in measurement, revenue operations, and data governance share practical ways to establish one trusted standard. These steps help teams resolve definitions, assign ownership, and keep reporting consistent without blocking progress.
Article · Mr Ozan Dagdeviren · Oct 9When data goes down, trust can disappear faster than the systems being repaired. This article shares practical steps for protecting accuracy, communicating clearly, and limiting business harm during an outage. It also includes insights from experts in the field on what to freeze, verify, disclose, and restore first.
Q&A · Informatics Magazine · Oct 6Analytics incidents can spread quickly, but a clear recovery plan can limit the damage. This article shares practical steps for checking data, tracing failures, and restoring trusted information. It also includes insights from experts in the field to help teams respond with speed and confidence.
Q&A · Informatics Magazine · Oct 5Complex data becomes easier to understand when the right visual technique reveals the story behind it. This article shares practical methods for spotting trends, bottlenecks, risks, and opportunities across business data. Insights from experts in the field show how to choose visuals that support clearer decisions.
Q&A · Informatics Magazine · Oct 1Executives need clear decisions, even when the data is incomplete or uncertain. Experts in analytics and business strategy share practical ways to explain risks, limits, and trade-offs without slowing action. Learn how to set reliable thresholds, test assumptions, and make confident choices with imperfect information.
Q&A · Informatics Magazine · Sep 29Choosing between in-house analytics and off-the-shelf tools can shape costs, control, and long-term performance. Experts in the field share practical guidance on what to build, what to buy, and where to draw the line. The result is a clearer way to protect core data while avoiding unnecessary complexity.
Q&A · Informatics Magazine · Sep 28