Interview_ID,Code_Category,Sub_Code,Code_Description,Quote,Industry,Adoption_Stage,Pattern_Type,Research_Implication
I1,Decision_Factors,Cost_Performance_Tradeoff,"Cost-performance trade-offs in model selection","Bigger models mean higher inference cost, latency, and infra demands",Technology/Software,Adopted,Technical_Suitability,RQ2_Support
I1,Decision_Factors,Model_Comparison,"Model comparison based on fit and affordability","Clients compare models like Qwen, Mistral, and DeepSeek based on fit and affordability",Technology/Software,Adopted,Technical_Suitability,RQ2_Support
I1,Integration_Challenges,Expertise_Gap,"Limited internal ML expertise","Most clients lack internal evaluation capacity. Fine-tuning remains complex and rare: 70% only go for fine-tuning as the last solution",Technology/Software,Adopted,Skill_Barrier,RQ2_Support
I1,Integration_Challenges,Infrastructure_Underestimation,"Underestimation of compute requirements","Customers often ask for DeepSeek due to its popularity, but few grasp its compute requirements",Technology/Software,Adopted,Resource_Planning_Gap,RQ2_Support
I1,Motivations,Control_Customization,"Control and customization drivers","Open-source adoption is motivated by flexibility, cost, and customization. Proprietary APIs are easier to use but limit control",Technology/Software,Adopted,Autonomy_Seeking,RQ2_Support
I1,Use_Cases,Quantified_Savings,"Measurable ROI demonstration","Value arises from multi-agent use and task-specific models, enabling latency reduction and cost savings. Token costs dropped by ~80%",Technology/Software,Adopted,Measurable_ROI,RQ3_Support
I1,Governance_Gates,Licensing_Transparency,"Licensing transparency requirements","Governance prerequisites include licensing clarity and documentation completeness. 'Transparency and licensing: yes, they matter'",Technology/Software,Adopted,Legal_Clarity_Necessity,RQ3_Support
I1,Governance_Gates,Documentation_Gaps,"Implementation guidance gaps","Deployment guidance is insufficient: 'How can I deploy straight from the model card?'",Technology/Software,Adopted,Implementation_Guidance_Gap,RQ3_Support
I1,Execution_Levers,Post_Gate_Optimization,"Post-gate optimization levers","After governance gates are cleared, key enablers include cost efficiency, performance, and latency optimization",Technology/Software,Adopted,Sequential_Gate_Lever,RQ3_Support
I1,Execution_Levers,Optimization_Sequence,"Strategic optimization hierarchy","Use case first, then cost, then latency",Technology/Software,Adopted,Strategic_Optimization_Hierarchy,RQ3_Support
I2,Decision_Factors,Cost_Secondary_Risk,"Cost secondary to risk management","Cost is secondary to reliability and compliance",Energy,Adopting,Risk_Management_Priority,RQ2_Support
I2,Decision_Factors,SLA_Security,"SLA and security requirements","Proprietary solutions are preferred due to clear SLAs and security posture",Energy,Adopting,Enterprise_Grade_Reliability,RQ2_Support
I2,Integration_Challenges,Legacy_Systems,"Legacy system integration challenges","Integration complexity is high because of legacy systems, strict internal IT policies",Energy,Adopting,Technical_Debt_Barrier,RQ2_Support
I2,Motivations,Risk_Monitoring,"Risk monitoring without adoption","We monitor the open space, but for now we stay on managed APIs",Energy,Adopting,Cautious_Exploration,RQ2_Support
I2,Governance_Gates,Formal_Certification,"Structured compliance gates","The firm requires formal certification, licensing clarity, and full documentation before any production use",Energy,Adopting,Structured_Compliance_Gates,RQ3_Support
I2,Execution_Levers,Conditional_Activation,"Gate-dependent lever availability","If gate conditions were met, the main lever would be cost savings and customization for forecasting models",Energy,Adopting,Gate_Dependent_Lever,RQ3_Support
I3,Decision_Factors,Risk_Over_Cost,"Risk over cost prioritization","Cost is not the first concern; risk is",Finance,Pre_adoption,Compliance_First_Decision,RQ2_Support
I3,Decision_Factors,Traceability_Accountability,"Traceability and accountability requirements","Proprietary systems are preferred due to full traceability and vendor accountability",Finance,Pre_adoption,Audit_Trail_Necessity,RQ2_Support
I3,Motivations,Provenance_Control,"Provenance control requirements","We cannot risk using code without full control over provenance",Finance,Pre_adoption,Risk_Averse_Stance,RQ2_Support
I3,Governance_Gates,Source_Traceability,"Provenance verification needs","The firm requires verified licensing, source traceability, and complete documentation before considering open models",Finance,Pre_adoption,Provenance_Verification,RQ3_Support
I3,Governance_Gates,Centralized_Approval,"Hierarchical governance","Compliance officers must approve every vendor or repository",Finance,Pre_adoption,Hierarchical_Governance,RQ3_Support
I4,Decision_Factors,Balanced_Evaluation,"Balanced cost-performance evaluation","Decision factors include performance consistency, cost efficiency, and interoperability with legacy systems",Telecom,Adopting,Operational_Efficiency_Focus,RQ2_Support
I4,Decision_Factors,Continuous_Monitoring,"Operational visibility needs","We need models we can monitor continuously",Telecom,Adopting,Operational_Visibility_Needs,RQ2_Support
I4,Integration_Challenges,Documentation_Gaps,"Knowledge transfer barriers","Internal ops teams find deployment documentation lacking",Telecom,Adopting,Knowledge_Transfer_Barrier,RQ2_Support
I4,Integration_Challenges,Performance_Critical,"Industry-specific requirements","Telecom workloads demand low latency and high reliability",Telecom,Adopting,Industry_Specific_Requirements,RQ2_Support
I4,Motivations,Cost_Independence,"Cost and independence drivers","Motivation for adopting open-source AI is driven by cost reduction and vendor independence",Telecom,Adopting,Strategic_Autonomy,RQ2_Support
I4,Use_Cases,Specific_Success,"Pilot-to-production pathway","Successful experiments exist in customer churn prediction and text summarization",Telecom,Adopting,Pilot_to_Production,RQ3_Support
I4,Use_Cases,Scaling_Complexity,"Pilot-to-scale transition challenges","However, scaling these pilots remains slow due to monitoring complexity",Telecom,Adopting,Scaling_Complexity_Barriers,RQ3_Support
I4,Governance_Gates,Pre_Integration_Compliance,"Gate-before-action logic","The firm requires clarity in licensing and provenance before integrating open models into live customer systems",Telecom,Adopting,Gate_Before_Action,RQ3_Support
I4,Execution_Levers,Post_Validation_Optimization,"Validation-dependent levers","Execution levers include cost optimization, customization, and faster iteration cycles once internal validation is done",Telecom,Adopting,Validation_Dependent_Lever,RQ3_Support
I5,Decision_Factors,Integration_Compatibility,"Ecosystem integration priority","We use Azure because it works with everything we already have",FMCG,Adopting,Ecosystem_Integration_Priority,RQ2_Support
I5,Decision_Factors,Cost_Monitoring,"Enterprise-grade requirements","Cost is monitored but secondary to scalability and security",FMCG,Adopting,Enterprise_Grade_Requirements,RQ2_Support
I5,Integration_Challenges,Managed_Service_Dependency,"Capability outsourcing","The company lacks deep ML engineering capacity and depends on managed APIs",FMCG,Adopting,Capability_Outsourcing,RQ2_Support
I5,Motivations,Maintenance_Risk,"Operational risk management","The firm monitors OSS models but avoids them due to maintenance risk and lack of expertise",FMCG,Adopting,Operational_Risk_Management,RQ2_Support
I5,Use_Cases,Business_Application,"Proprietary platform value","Use cases include demand forecasting, campaign optimization, and customer insights using Azure ML and Cognitive Services",FMCG,Adopting,Business_Application_Success,RQ3_Support
I5,Governance_Gates,Data_Residency,"Multi-dimensional compliance","The participant emphasized data residency and model auditability as key gates before production",FMCG,Adopting,Multi_Dimensional_Compliance,RQ3_Support
I5,Governance_Gates,Internal_Compliance,"Multi-layer governance","All AI deployments must pass internal IT compliance review",FMCG,Adopting,Multi_Layer_Governance,RQ3_Support
I5,Execution_Levers,Operational_Efficiency,"Enterprise operation focus","Execution levers include vendor support, fast deployment, and cost predictability",FMCG,Adopting,Enterprise_Operation_Focus,RQ3_Support
I5,Execution_Levers,Speed_to_Production,"Deployment velocity focus","We measure success by how fast a model moves to production",FMCG,Adopting,Deployment_Velocity_Focus,RQ3_Support
I6,Decision_Factors,Transparency_Priority,"Academic integrity focus","Cost is important but secondary to control and reproducibility",Education/Research,Adopted,Academic_Integrity_Focus,RQ2_Support
I6,Decision_Factors,Inspection_Requirement,"Transparency requirement","If we cannot inspect it, we cannot trust it",Education/Research,Adopted,Transparency_Requirement,RQ2_Support
I6,Integration_Challenges,Maintenance_Policy,"Institutional governance challenges","Challenges arise around maintenance, version control, and alignment with institutional IT policies",Education/Research,Adopted,Institutional_Governance_Challenge,RQ2_Support
I6,Motivations,Philosophical_Alignment,"Values-driven adoption","We teach and research with open models because they reflect how science should work",Education/Research,Adopted,Values_Driven_Adoption,RQ2_Support
I6,Use_Cases,Educational_Diversity,"Academic use case diversity","Use cases include NLP research, student AI projects, and open-access teaching tools using Hugging Face and local deployments",Education/Research,Adopted,Academic_Use_Case_Diversity,RQ3_Support
I6,Governance_Gates,Ethics_Bias,"Academic integrity standards","The institution follows strict research ethics protocols and uses model cards to document provenance and bias",Education/Research,Adopted,Academic_Integrity_Standards,RQ3_Support
I6,Execution_Levers,Community_Reproducibility,"Academic collaboration benefits","Execution levers include community support, documentation availability, and model reproducibility",Education/Research,Adopted,Academic_Collaboration_Benefits,RQ3_Support