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公式動画&関連する動画 [Building Mission Critical Enterprise SaaS | .local Bengaluru 2026]
Watch more from .local Bengaluru: https://www.youtube.com/playlist?list=PLdZHbuVOoAyM
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Every enterprise SaaS company begins with a bold idea. Over time, that idea must evolve into a platform capable of supporting millions of users, massive volumes of data, and increasingly complex requirements for reliability, security, and scale.
This panel brings together leaders from Leena.ai and Freshworks to discuss what it takes to build and operate mission-critical enterprise SaaS. Drawing on experiences across AI-native software, global SaaS platforms, and enterprise technology services, the conversation will explore the architectural and operational decisions that shape long-term success.
Topics will include scaling applications and data infrastructure, maintaining reliability and performance across geographies, balancing agility with governance, and building the trust required to support enterprise customers.
Across every stage of growth, one reality remains constant: the choices organizations make about their data foundation influence what they can build, how quickly they can innovate, and how effectively they can earn and maintain customer trust.
Chapters:
00:00:03 - Introduction and SaaS Scaling Statistics
00:01:23 - Introducing the Panelists from Lena.ai & Freshworks
00:02:18 - The Evolution of Lena.ai and Back-Office Automation
00:03:38 - The Challenge of Non-Deterministic AI in Production
00:05:01 - Running AI Evaluations & Monitoring Accuracy
00:06:00 - The Shift from Accuracy to Latency Metrics
00:06:38 - Freshworks' Scaling Journey from Startup to IPO
00:08:06 - Why Your AI Strategy is Destined to Be a Data Strategy
00:09:43 - Shifting Mindsets: From Yearly Planning to Weekly Pivots
00:12:28 - Decentralizing Decision-Making to Increase Engineering Velocity
00:14:41 - Squeezing Cycle Times with Autonomous Code Reviews
00:15:49 - Choosing the Document Schema: Why Both Companies Use MongoDB
00:16:59 - Building a Single Core Architecture for Retrieval, Vectors, & Embeddings
00:18:01 - Managing Multi-Cloud Infrastructure & Multi-Region SLAs
00:20:20 - Commoditization of Foundational Models vs. Proprietary LLMs
00:23:40 - Freshworks' Smart Gateway: Building a Model Fabric Service
00:25:28 - The 4 Layers of the AI Stack
00:26:03 - The 5 Pillars of Responsible & Trustworthy Enterprise AI
00:28:30 - Future Outlook: The Race to AGI & Consolidation in SaaS
00:30:16 - Final Advice for Builders: Prioritize AI-First Engineering
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