Alphabet Inc. Presents at Goldman Sachs Communacopia + Technology Conference 2024, Sep-10-2024 01:05 PM - NasdaqGS:GOOGL
NasdaqGS:GOOGL
Thomas Kurian [CEO of Google LLC] 💬
** Key Points from Thomas Kurian's Presentation**
Overview of Google Cloud
- Mission: Bring Google's innovation in infrastructure, data and digital platforms, cybersecurity, and AI to enterprises, small companies, startups, and governments.
- Global Infrastructure: 40 regions, 121 zones connected worldwide.
- AI Capabilities: World-leading AI training and inferencing systems, frontier AI models, and a suite of tools.
AI Infrastructure
- Generations of Accelerator Technology: Sixth generation, offering 3x better performance for training and 2.5x better cost performance for inference.
- Cooling Technology: Close to 1 gigawatt of water cooling, 70x more than the #2 competitor.
- Customer Growth: 150x more compute instances can be connected to a single storage volume, 10x year-over-year growth in training usage.
- Notable Customers: 90% of AI unicorns and 60% of AI-funded startups use Google Cloud for training and inference.
AI Developer Platform
- Open Platform: Supports Google's models, open-source models, and third-party models.
- Advanced Services: Grounding, high-fidelity adaptation, distillation, fine-tuning, and more.
- Monetization: Consumption-based compute instances, token-based pricing, and additional services.
- Developer Usage: Over 2 million developers, with a significant ramp in usage from proof of concept to production.
Data Platform
- Connectivity: Connects any data to any model with super low latency.
- Data Agent: Conversational interface for data migration, staging, aggregation, visualization, and chart building.
- Monetization: Increased query volume on BigQuery and end-user subscription growth.
- Customer Examples: UPS Capital and Hiscox.
Cybersecurity
- Secure Foundation: 1/4 the downtime of other players, half the number of vulnerabilities.
- Threat Intelligence: Summarized from Chrome endpoints and the broad network, fed into AI models for threat prioritization and remediation.
- Monetization: Based on data volume and threat hunts.
- Customer Examples: Fiserv and Apex Fintech.
Applications Portfolio
- Google Workspace: Integrated AI for improved productivity.
- New Applications: Customer experience and customer service applications with multichannel and multimodal capabilities.
- Differentiation: Multichannel support, multimodal conversations, deterministic and generative control, and 100% accuracy.
- Monetization: Based on cost savings and reach expansion.
- Customer Examples: Verizon and General Motors.
Market Position and Strategy
- Geographical Growth: Strong growth in Asia and Latin America.
- Business Initiatives: Increasingly driven by business buyers, not just IT.
- Early Stage: Still early in cloud adoption, with significant growth potential.
- Competitive Position: Fourth-largest enterprise software company, with a strong presence and growing customer base.
Go-to-Market Strategy
- Specialization: Selling to specific buyers (e.g., CISOs, Heads of Customer Service).
- Solution Selling: Focus on value propositions, cost, and productivity benefits.
- Partnerships: Strong relationships with ISVs and system integrators, avoiding conflicts.
AI Vision
- Diversified Offerings: Infrastructure, model tuning, and application layers.
- Monetization: Diverse revenue streams from infrastructure to specialized agents.
Vertex AI
- Range of Models: Large models for complex reasoning, task-specific models for specific needs.
- Services: Grounding, model shrinking, and adaptive grounding.
- Customer Examples: Samsung.
Custom Silicon
- High-Scale Systems: Partnering with NVIDIA and others.
- System Components: Memory, optical switching, cooling technology, and programming frameworks.
Workspace and Applications
- Adoption Patterns: Professional workforce, high-value specific roles, and scarce teams.
- Productivity Gains: Significant improvements in healthcare, insurance, and cyber.
Investment Areas
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Engineering: Broadening and deepening the product portfolio.
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Go-to-Market: Expanding and building specialization.
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Data Centers: Expanding geographical footprint and infrastructure.
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Partnerships: Incentivizing and investing in the channel.