Suvidha Shashikumar (18 results)

Condition: New.

Paperback. Condition: New. This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional-it's the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft's latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsoft's Zoned Governance.

Paperback. Condition: New. This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional-it's the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft's latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsoft's Zoned Governance.

Taschenbuch. Condition: Neu. Neuware -This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional it s the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft s latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsoft s Zoned Governance 119 pp. Englisch.

Taschenbuch. Condition: Neu. Neuware -This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optionalit's the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft's latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:- Design and implement a governance framework for M365 Copilot and Copilot Studio- Configure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflows- Apply environment strategy, role-based access control, and ALM to Copilot Studio agents- Measure, monitor, and optimize AI agent performance, cost, and compliance- Balance innovation with guardrails using models like Microsoft's Zoned Governance.

Paperback. Condition: New. This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional-it's the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft's latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsoft's Zoned Governance.

Condition: NEW.

Taschenbuch. Condition: Neu. Neuware - This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional it s the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft s latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsoft s Zoned Governance.

Condition: New.

Taschenbuch. Condition: Neu. Neuware -This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optionalit's the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft's latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:- Design and implement a governance framework for M365 Copilot and Copilot Studio- Configure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflows- Apply environment strategy, role-based access control, and ALM to Copilot Studio agents- Measure, monitor, and optimize AI agent performance, cost, and compliance- Balance innovation with guardrails using models like Microsoft's Zoned GovernanceSpringer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 119 pp. Englisch.

Taschenbuch. Condition: Neu. Governance in Microsoft 365 Copilot & Copilot Studio | Practical Guardrails and Checklists for Secure, Responsible AI at Scale | Suvidha Shashikumar | Taschenbuch | Apress Pocket Guides | xvii | Englisch | 2026 | APRESS L.P. | EAN 9798868823435 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condition: New. This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional-it's the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft's latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsoft's Zoned Governance.

Taschenbuch. Condition: Neu. Neuware -This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optionalit's the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft's latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:- Design and implement a governance framework for M365 Copilot and Copilot Studio- Configure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflows- Apply environment strategy, role-based access control, and ALM to Copilot Studio agents- Measure, monitor, and optimize AI agent performance, cost, and compliance- Balance innovation with guardrails using models like Microsoft's Zoned Governance 119 pp. Englisch.

Paperback. Condition: new. Paperback. This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optionalits the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsofts latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsofts Zoned Governance This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: new. Questo è un articolo print on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional it s the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft s latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsoft s Zoned Governance 119 pp. Englisch.

Paperback. Condition: new. Paperback. This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optionalits the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsofts latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsofts Zoned Governance This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optionalits the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsofts latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.What You Will Learn:Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsofts Zoned Governance This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.