Google Recognized as a Leader in the 2025 Gartner® Magic Quadrant for Data Science and Machine Learning Platforms

Google has been recognized by Gartner® as a Leader in the 2025 Magic Quadrant™ for Data Science and Machine Learning Platforms (DSML) report. As a Google Cloud Premier Partner, Microfusion Cloud is deeply honored by this recognition, which fully affirms Google’s continuous innovation efforts to meet the needs of data science and machine learning teams, and to support new types of professionals collaborating with data scientists in the rapidly evolving field of generative AI.

A Unified AI Platform: Leading the Future with Cutting-Edge Multimodal AI

AI is fundamentally changing how organizations operate, compete, and innovate. Google Cloud works closely with customers, continuously launching innovative solutions aimed at building a unified data and AI platform to address the many demands of the AI era. This encompasses data engineering and analytics, data science, Machine Learning Operations (MLOps), generative AI application and agent development tools, and a core governance layer.
Google Cloud offers a wide range of comprehensive AI capabilities, from underlying Tensor Processing Unit (TPU) hardware to various AI agents and their construction tools. These capabilities benefit from Google’s leading position in AI research and development, as well as our extensive experience in applying AI to large-scale production environments (such as YouTube, Google Maps, Search, Ads, Workspace, Google Photos, etc.).
Further reading: Google AI Supercomputer Inference Update: TPUs and GPUs Boost AI Application Performance
These research and practical experiences converge to power the Vertex AI platform. As the core of Google’s DSML solutions, Vertex AI is a unified AI platform that provides comprehensive support for MLOps tools, predictive AI, and generative AI use cases. It offers a comprehensive set of tools covering the entire AI lifecycle, including data engineering and analytics tools, data science workbench, MLOps capabilities for deploying and managing models, and specialized features designed for developing generative AI applications and agents. Additionally, our Self-Deploy capability not only allows partners to build and host models within Vertex AI for internal use but also to distribute and commercialize these models. Driven by models such as Gemini, Imagen, and Veo, Vertex AI’s customer usage has grown 20x in the past year.

Leading Generative AI Models and Multimodal Capabilities

Based on Google DeepMind’s research, the most intelligent AI model to date, Gemini 2.5, was recently released. The Gemini 2.5 model now possesses the ability to “think,” capable of reasoning before responding (and demonstrating its reasoning process), thereby significantly enhancing performance. This transparent, step-by-step reasoning is crucial for enterprises to build trust and comply with regulations. We also introduced Gemini 2.5 Flash, a cost-effective and low-latency high-performance model. Gemini 2.5 Flash will be generally available to all Vertex AI users in early June, with 2.5 Pro following soon after.

Further reading: Google Gemini 2.5 Model Major Upgrade: Breakthrough in Reasoning Capability, Fully Empowering Enterprise Applications

Vertex AI is now the only platform to offer generative media models across all modalities (video, image, speech, and music). At Google I/O, we announced several innovations in this product portfolio, including the availability of Veo 3, Lyria 2, and Imagen 4 on Vertex AI.

• Veo 3 combines video and audio generation, pushing content creation to new heights. This state-of-the-art model significantly improves quality when generating videos from text and image prompts. Additionally, Veo 3 can generate videos with speech (dialogue and narration) and audio (music and sound effects).
• Lyria 2, as Google’s latest music generation model, can generate high-fidelity music in various styles.
• Imagen 4 is Google’s highest quality image generation model, offering exceptional text rendering and prompt adherence capabilities, delivering higher overall image quality across all styles, and supporting multilingual prompts to assist global creators. Imagen 4 also supports multiple model variants to help customers optimize between quality, speed, and cost.

All these innovations are integrated on top of the Vertex AI platform, ensuring that AI projects can smoothly go into production and create business value, while enabling teams to collaborate and continuously improve models throughout the development lifecycle.

Further reading: New Generative AI Media Models Debut: Vertex AI Launches Imagen 4, Veo 3, and Lyria 2

Towards a New Era of Multi-Agent Management

We strongly believe that eventually every enterprise will rely on multi-agent systems, even if these systems may be based on different frameworks or vendors. We recently announced several enhancements to Vertex AI that allow you to adopt an open approach to building agents and deploying them with enterprise-grade controls. This includes:

• Agent Development Kit (ADK): Available for Python and Java, it provides an open-source framework for designing agents based on the same framework as Google Agentspace and Google Customer Engagement Suite agents. Many powerful examples and extensible sample agents are also available in Agent Garden.
• Agent Engine: A fully managed execution environment within Vertex AI that helps you deploy custom agents to production with built-in testing, release, and global scalability reliability.

Further reading: What is Google Agentspace? Breaking Down Data Silos and Unleashing Internal Enterprise Intelligence.
Connecting All Data with AI

For enterprise-grade agents to succeed, they must be grounded in relevant data. Whether helping customers understand product catalogs or assisting employees with company policies, the efficiency of agents depends on the data they are connected to. At Google Cloud, we make this easy, allowing you to readily leverage any data source. Whether it’s structured data in relational databases or unstructured content like presentations and videos, Google Cloud tools enable customers to easily use their existing data architecture as a Retrieval-Augmented Generation (RAG) solution. Through this approach, developers can benefit from Google’s decades of search experience with out-of-the-box products, or build their own RAG systems using best-in-class components.

For RAG solutions for enterprise-grade corpora, Vertex AI Search is our out-of-the-box solution, delivering high-quality results at scale with minimal development or maintenance burden. If customers prefer to fully customize their solutions, they can use our range of standalone components, including Layout Parser for preparing unstructured data, Vertex Embedding Models for creating multimodal embeddings, Vertex Vector Search for large-scale indexing and serving embeddings, and Ranking API for optimizing results. The RAG Engine then provides developers with a simple way to orchestrate these components or mix and match them with third-party and open-source tools. BigQuery customers can also use its built-in vector search capabilities for RAG, or leverage new connectors with Vertex Vector Search to combine data from BigQuery with tools designed for high-performance vector search, achieving the best of both worlds.

Further reading: What is Retrieval-Augmented Generation (RAG)? A Powerful Tool to Make LLMs Smarter! (Part 1), What is Retrieval-Augmented Generation (RAG)? A Powerful Tool to Make LLMs Smarter! (Part 2)

Unified Data and AI Governance

Through built-in governance features, customers can simplify the discovery, management, monitoring, governance, and use of their data and AI assets. The Dataplex Universal Catalog integrates a data catalog and a fully managed, serverless metadata repository, enabling interoperability between Vertex AI, BigQuery, and open-source formats such as Apache Spark and Apache Iceberg through a common metadata layer. Customers can also use a business glossary to unify their understanding of data and define company terminology, establishing a consistent foundation for AI.

Microfusion Cloud and You, Hand in Hand, to Create a New Chapter of AI Intelligent Transformation

Microfusion Cloud, as a Google Cloud Premier Partner, is deeply honored to stand alongside Google in advancing this AI revolution. Our strength lies not only in theory but also in rich practical experience, successfully assisting cross-industry clients in achieving significant benefits:

Retail, Food & Beverage, and Finance: AI Precisely Empowers Business Growth

• Globally Renowned Hypermarket’s “AI Chatbot”: Helped the retail industry gain precise insights into consumer preferences, attracting over 30,000 users in