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AI is transforming business today
We are stepping into a transformative era where AI is revolutionizing industries, presenting both new challenges and opportunities. Google's generative AI builds on over 20 years of internal research and development (R&D) across search, databases, hardware, and artificial intelligence (AI).
Together Google and WWT offer solutions on Gemini, Vertex AI, and Google's APIs, marking a major shift in productivity. Users can confidently go to production with robust data governance, indemnity, security, compliance, and responsible AI practices.
A Guide for CEOs to Accelerate AI Excitement and Adoption
The Cloud Advantage for AI
Google Cloud's participation in WWT's AI Proving Ground allows for the integration of Google's various advanced AI capabilities:
Google AI Solution Portfolio
Gemini
Gemini is Google's next-gen generative AI model family, developed by Google's AI research labs DeepMind and Google Research. Gemini can understand texts, images, videos, and audio. It can perform complex tasks in math and physics and even generate high-quality code in several programming languages.
Vertex AI
Google Vertex AI is a managed machine learning platform that brings together all of Google's cloud services in one place for deploying and maintaining AI models. It combines data engineering, data science, and ML engineering workflows, allowing teams to collaborate using a common toolset.
Model Garden
Model Garden is a part of Vertex AI, Google Cloud's machine learning platform. It's a powerful toolkit designed to support effective model development processes. It provides predefined models suitable for various tasks and datasets. It also assists developers throughout the model development lifecycle, from model selection to customization, testing, and deployment, and ongoing operations.
Google Cloud Infrastructure
Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models, and a development platform. This comprehensive suite helps organizations transform by providing the necessary resources for AI projects.
When comparing Google Cloud's AI infrastructure to other cloud providers, several factors come into play:
Custom Hardware: Google Cloud offers custom-built AI hardware, such as the Tensor Processing Unit (TPU), which is optimized for machine learning workloads. This gives it an edge in terms of performance and efficiency.
Fully Managed Services: Google Cloud's Vertex AI provides a fully managed platform for training and deploying machine learning models. It simplifies the process for developers and data scientists, allowing them to focus on building models rather than managing infrastructure.
Open-Source Software: Google Cloud supports popular open-source AI frameworks like TensorFlow and PyTorch. This flexibility appeals to developers who prefer using familiar tools.
Planet-Scale Infrastructure: Google's global network and data centers enable scalable and reliable AI deployments. This infrastructure is crucial for handling large-scale workloads.
AI Marketplace: Google Cloud's AI Marketplace offers pre-built models and solutions, making it easier for organizations to find and deploy AI services.
Is your business ready for AI?
As your company embarks on the journey of AI implementation, it is essential to recognize that the transformative potential of AI extends far beyond technical innovation.
Success grows with:
- Exploring AI use cases that align with business needs
- Prioritizing and selecting high-value business use cases
- Creating a culture that thrives on innovation
- Identifying the appropriate AI problem domains and recommended technical approach
Reach out to our Google GenAI Experts
Learn more about WWT and Google
Google Expands Gemini and Generative AI at Google Cloud Next
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Practical AI Briefing