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pww.comAlphabet 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

  • Engineering: Broadening and deepening the product portfolio.

  • Go-to-Market: Expanding and building specialization.

  • Data Centers: Expanding geographical footprint and infrastructure.

  • Partnerships: Incentivizing and investing in the channel.

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