{"data":{"id":"f87c1561-2715-413a-a28b-432c2d079aab","title":"MLOps - Operationalizing the machine learning model","summary":"Operationalizing an ML model (putting it into production so it can be used by real applications) involves deploying the trained model to a web server so it can make predictions. The author found that integrating TensorFlow (a popular ML framework) with Golang was unexpectedly complicated, so they chose Python instead for their web server.","solution":"N/A -- no mitigation discussed in source.","labels":["research"],"sourceUrl":"https://embracethered.com/blog/posts/2020/husky-ai-mlops-operationalize-the-model/","publishedAt":"2020-09-05T15:00:14.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["TensorFlow","Keras"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.7,"researchCategory":null,"atlasIds":null}}