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Microsoft Copilot Studio
Many organizations have already taken the first steps with AI. However, by building and deploying custom agents with Microsoft Copilot Studio, forward-thinking companies are progressing even further on their AI transformation journeys.
Executive's Guide to Generative AI
The guide outlines how generative AI can transform industries by accelerating workflows, enhancing decision-making, and driving innovation. It emphasizes foundation models, step-by-step deployment strategies, and industry-specific use cases. This directly supports AI agents by providing them with context-rich data and enabling scalable, task-specific assistants embedded within business processes.
The Art of Practical AI: Optimizing Your Business
AI’s potential is clear—but unlocking real business value requires a strategic approach.
In this e-book, explore how organizations are moving beyond isolated proof of concepts to achieve scalable impact. Discover practical use cases and real-world examples of organizations turning innovation into measurable ROI.
Prompt Engineering for LLM's
Download PDFSecure AI Framework Approach
SAIF enhances AI agent reliability by embedding security, governance, and threat mitigation directly into the agent lifecycle. This enables safe deployment of intelligent agents within enterprise environments, especially those interacting with sensitive data, automating judgments, or integrating with external systems. It ensures agent behavior aligns with organizational risk tolerance and compliance standards.
Gemini for Google Workspace Prompting Guide 101
Gemini for Google Workspace Prompting Guide 101
Secure AI Framework Approach
SAIF enhances AI agent reliability by embedding security, governance, and threat mitigation directly into the agent lifecycle. This enables safe deployment of intelligent agents within enterprise environments, especially those interacting with sensitive data, automating judgments, or integrating with external systems. It ensures agent behavior aligns with organizational risk tolerance and compliance standards.
Low Code Explained
AI-powered low-code tools can help bridge
technical gaps and enable faster app development.
But many decision makers still don’t realize the
truth about how effective low-code tools can be.
Google Agentspace is a powerful platform designed to enhance enterprise productivity by leveraging AI agents. These agents combine advanced reasoning, Google-quality search, and enterprise data to provide employees with a comprehensive tool for accomplishing complex tasks. Google Agentspace integrates various data sources, enabling seamless access to information across the organization.
Key Features:
Multimodal Assistance
Google Agentspace and google ai agents utilizes models like Gemini, Imagen, and Veo to offer multimodal assistance. This means it can understand and process images, text, and videos, providing a versatile tool for various tasks.
Information Discovery
Agentspace acts as a central source of enterprise truth, offering a company-branded multimodal search agent. It can handle both unstructured data (e.g., documents, emails) and structured data (e.g., tables), providing conversational assistance, answering complex questions, and making proactive suggestions.
Pre-built Connectors
The platform includes pre-built connectors for commonly used third-party applications such as Confluence, Google Drive, Jira, Microsoft Sharepoint, and ServiceNow. This feature breaks down data silos and allows employees to access and query relevant data sources easily.
Custom AI Agents
Google Agentspace enables the creation of custom AI agents that apply generative AI contextually. These agents can automate business functions, conduct research, draft content, and automate repetitive tasks, including multi-step workflows.
Security and Privacy
Built on Google Cloud’s secure-by-design infrastructure, Google Agentspace ensures data security with features like role-based access controls, encryption, and compliance with various security standards. It also includes responsible AI tools for evaluation and content moderation.
Use Cases:
Marketing
Generate high-quality marketing content, analyze engagement results, and automate repetitive tasks like weekly reporting on campaign performance1.
HR
Streamline onboarding processes, even for complex tasks like 401k selection, and enhance the employee experience.
Software Engineering
Identify and resolve bugs proactively, accelerating deployment cycles and improving efficiency.
Business Analysis
Uncover industry trends and create data-driven presentations with AI-generated insights.
The Microsoft Scenario Library is a collection of industry-specific use cases designed to showcase how Microsoft technologies can solve real-world challenges. It provides detailed scenarios, best practices, and implementation guidance to help organizations leverage AI, cloud computing, and other digital solutions effectively across various sectors.
The Microsoft Scenario Library covers a variety of industries, helping organizations leverage AI and digital solutions effectively. Here are some key industries included:
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