AI & Machine Learning with Gemini and Vertex AI

AI and Machine Learning with Gemini, Vertex AI and the expertise of PCG - from strategy development to the implementation of tailored AI solutions that deliver real business value.

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A four-layered, diamond-shaped diagram illustrating the components of Google AI and Machine Learning. From top to bottom, each layer has an icon and a label on a dark blue tab: 1. Agents, 2. Research and Models, 3. Vertex AI, and 4. AI Hypercomputer.

The transformative power of Google AI & ML

Over 20 Years of AI Innovation for Your Success

Imagine harnessing the full power of over 20 years of groundbreaking Google research in AI, like the developments behind DeepMind and the Transformer architecture, now at your disposal to tackle complex challenges and bring new business ideas to life. While this exciting journey with artificial intelligence will truly drive success for your company, we at PCG don’t just stop at the technology. We’re by your side, helping you develop a clear vision, identifying the right use cases for your specific needs, and seamlessly integrating everything into your processes so that your AI initiatives achieve your business goals and propel you forward.

From Model to Agent: The Tools for Your AI-Powered Future

Google Cloud offers a comprehensive stack for AI, from the latest hardware to leading AI infrastructure to a wide selection of models and ready-made solutions.

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Leverage cutting-edge hardware like Google-developed TPUs, CPUs and NVIDIA GPUs, including the Grace Blackwell 200 - the world's most advanced AI chip. Implement generative AI quickly, efficiently and responsibly in real-world applications with an open technology stack and the best GPUs and TPUs. This includes powerful Gemini models, the Vertex AI development platform, AI applications and assistants, as well as the state-of-the-art AI Hypercomputer.

Choose from over 200 first- and third-party models in Model Garden, an extensive catalog of open and proprietary models. From universal to specialized models, Model Garden offers models for virtually any application.

As Google Cloud's comprehensive AI platform, Vertex AI supports the entire ML development lifecycle. Vertex AI's full integration with the rest of Google Cloud simplifies data input and output for the models and makes it easier to manage their evolving complexity.

Google Cloud is your one-stop store for AI and everything the cloud has to offer. Machine learning (ML) models, agents, traditional cloud services, AI agents for customer service, data tools, code assistants (e.g. generate code with Gemini ) and advanced models are just a click away.

All of these technologies integrate seamlessly with other non-AI application and data services from Google Cloud, allowing organizations to quickly adapt, iterate and develop.

Scale your applications and models according to your requirements.

Regardless of your AI skill level - from beginner to expert - Google Cloud offers products and services for every level. Entrepreneurs with minimal AI experience can start with low-code solutions. Advanced ML engineers can customize models, get help writing code, and even automate the release of AI features. AI APIs help developers quickly prototype, align models with real-world data and deploy seamlessly. All of this means that companies can move quickly from AI idea to AI product.

Security, compliance and reliability: Google Cloud is committed to helping customers secure their AI data, models, applications and infrastructure. Build on services designed for compliance, secure your AI services with advanced features and maintain full control of your data. Google's Secure AI Framework (SAIF) recommends risk mitigations for AI workloads. Mandiant's AI advisory services can help organizations assess the security of AI pipelines and test their AI defense and response through Red Teaming. Security Command Center Enterprise provides proactive cloud security and operations.

Selected Google AI & ML Use Cases

A screenshot of the Google Agentspace interface, which greets the user with "Hello, Angie. how can I help?" and suggests a task: "Summarize the most recent Cymbal financial reports." This illustrates an AI agent use case for automating complex, knowledge-intensive tasks like deep research and idea generation on Google Cloud.

Multimodal Search Across Your Company's Data Channels

Google Agentspace combines multimodal search across Google's data and intelligence channels from various "agents". Enrich search results with information from disparate sources, synthesize and fuse data, and interact with conversational or generative agents.

A screenshot of an e-commerce website product page for "Bloom Booster Potting Mix." On the right, a "Customer Service Agent" chatbot window with a green background has opened, displaying a conversation that asks, "Do you want me to update the items in your cart?" while showing product recommendations, illustrating an AI-powered conversational commerce or customer support use case on Google Cloud.

Conversational Agents

Engage users with a helpful, knowledgeable Conversational Agent that answers questions. Empower customer support, guided selling, conversational analytics and more.

A screenshot of a code editor showing a Python function. A pop-up menu appears with the heading "More actions..." and options powered by the Gemini model: "Gemini: Generate code", "Gemini: Explain this", and "Gemini: Generate unit tests". This illustrates the use of AI for developer assistance (like code generation and explanation) on Google Cloud.

Code Assistance

Accelerate software development and debugging. Streamline iterative development cycles with Gemini Code Assist for AI-assisted coding.

A screenshot of a business dashboard showing a table of product sales data and a pie chart titled "Top Brands by Sales." At the bottom of the screen is a natural language prompt box asking, "Where are my biggest customers for AquaClear?" This illustrates a conversational analytics use case where AI and ML on Google Cloud allow users to query and visualize business data using natural language.

Conversational Analytics

Uncover hidden insights from voice and chat conversations to enable AI-driven analytics. Gain insights from unstructured data sources.

A stylized, dark, animated street scene at twilight, with a person with bright blue spiky hair walking away from the viewer down a street lined with buildings that have glowing orange and red signs with East Asian characters. This image is a static frame that represents the video generation capabilities of Veo3 on Google Cloud, creating dynamic visual content.

Video Generation

Generate engaging and hyper-realistic videos with Veo3 on Vertex AI based on text, other images or prompts using state-of-the-art diffusion models with high frame rates and resolutions.

A whimsical, rendered image showing a fluffy, sentient cloud city. A large, sleeping cat-shaped cloud forms the central landmass, with a glowing river flowing through it. Adorable, chibi-style AI robots with holographic wings, some holding tiny umbrellas or tending to bioluminescent gardens, populate the scene. Smaller, kitten-shaped clouds with sad faces float above, and sparkly particles fall from them. The image demonstrates AI-powered image generation capabilities like Google's Imagen, creating complex and imaginative scenes from a text prompt.

Image Generation

Imagine and create AI-generated images and artwork using the latest models. With Imagen on Vertex AI, you can create the next generation that exhibits consistent style across generations for use in brand campaigns or creative projects.

Data protection obligations

Your Google Cloud, Your Data

Data belongs to the customers, not Google.

Protection against insider access to data.

Google never sells customer data to third parties.

Data is not used to train Google's own models.

Google does not use customer data for advertising.

Your data is not used to train models for other customers.

A selection of our services

From Data Foundation to Successful AI Initiative

Data Foundation

With our Data Foundation on Google Cloud, take the next step in your transformation journey. We'll help you transition to an agile, data-driven operating model across different business areas.

In-depth analysis of existing data sources.
Comprehensive support for migrating your data to the cloud.
Implementation of advanced data pipelines and reporting tools.
Provisioning of your Data Warehouse and Business Intelligence infrastructure.
Leverage the possibilities of Big Data in the cloud.

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Agentic AI with Gemini Enterprise

With our modular Gemini Enterprise jumpstart, take the next step towards Agentic AI. Let us assist you in meeting the biggest challenges of the present time. Gemini Enterprise will help your teams work more productively and efficiently.

Setup of Gemini Enterprise.
Integration of your systems.
Development of individual data connectors.
Consulting and training for your employees.

Let's talk about Agentic AI

Google Cloud Data & AI Consulting

Leverage the data in your company for innovation and growth with the "Data to Value" approach of PCG. We'll help you make the most of the Google Cloud's vast capabilities to manage and analyze large data sets, implement AI models and develop tailored use cases to drive impact.