Financial Data and Key Metrics Changes - Non-GAAP earnings per share for Q3 was $0.72, exceeding expectations by $0.17 [26] - Total revenue was $416 million, down 5% year-over-year, but above the high end of the outlook due to higher recurring revenue [24] - Total ARR grew 1% as reported and flat in constant currency, marking the second consecutive quarter of positive growth [23][22] Business Line Data and Key Metrics Changes - Cloud ARR grew 11% on both an as-reported and constant currency basis, with a cloud net expansion rate of 109% [23][24] - Recurring revenue was $366 million, down 2% year-over-year, but represented 88% of total revenue, up from 85% in Q3 last year [24] - Services revenue was $47 million, consistent with recent performance, transitioning from migration projects to AI services [24] Market Data and Key Metrics Changes - The company was named a leader in the Forrester Wave data management for analytics platforms, highlighting its suitability for hybrid cloud deployments [9] - Interest in AI, particularly agentic AI, is growing across industries, with most companies still in early stages of deployment [5][6] Company Strategy and Development Direction - The company is shifting from classic EDW to autonomous AI and knowledge platforms, focusing on hybrid environments [5][6] - Investments are being prioritized to capitalize on opportunities as a leading AI and knowledge platform for autonomous enterprises [29] - The company aims to provide a trusted data foundation that enhances AI performance and governance [17][19] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the return to total ARR growth and expects this trend to continue into 2026 [20][22] - The company is focusing on cost efficiencies and operational improvements to drive free cash flow growth [29][58] - Management noted that the hybrid deployment model is becoming increasingly important for customers [32][48] Other Important Information - The company launched several new AI services and capabilities, including the Teradata Agent Builder and enhancements to Clearscape Analytics [10][11] - The company is on track to complete over 150 AI engagements with customers this year [12] Q&A Session Summary Question: Insights on cloud ARR performance - Management indicated that cloud ARR performance met expectations, with a nuanced decision-making process for customers regarding deployment options [31][32] Question: Confidence in future free cash flow growth - Management attributed confidence in free cash flow growth to ARR growth and operational efficiency initiatives [34][35] Question: AI influence on pipeline and competitive win rates - Management noted an increase in AI-influenced pipeline and highlighted the effectiveness of their technology platform for AI workloads [36][37] Question: Guidance consistency and leading indicators - Management confirmed a consistent approach to guidance, utilizing various KPIs to assess outlook [38] Question: Competitive advantages in the AI space - Management emphasized patented technology and hybrid capabilities as key differentiators in the competitive landscape [40][41][42] Question: Services gross margin improvement - Management explained that improvements in services gross margin were due to right-sizing the organization and aligning costs with revenue [44][45] Question: Trajectory of cloud ARR and on-prem growth - Management indicated stabilization in on-prem growth and an expectation for continued expansion in cloud ARR [47][48] Question: Impact of federal shutdown on revenues - Management confirmed no impact from the federal shutdown on revenues [58] Question: Future free cash flow margin potential - Management highlighted operational efficiency measures that will benefit future margin and cash flow [59]