Vivek Trivedi
AI Strategist | International Speaker | Founder, ArnavTech Consultants | Microsoft Copilot, Agentic AI & Workforce Transformation Advisor
Dubai, United Arab Emirates
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Vivek Trivedi is an AI Strategist, international speaker, and Founder of ArnavTech Consultants , helping organisations across the Middle East, Europe, and Asia transform the way they work with Microsoft Copilot, Agentic AI, and modern workplace technologies.
With more than 20 years of experience in technology consulting, cloud transformation, and workforce enablement, Vivek works with enterprises, government organisations, and educational institutions to turn AI from a concept into measurable business value. His expertise spans Microsoft Copilot, Azure AI, Power Platform, intelligent automation, and responsible AI adoption.
A Microsoft Certified Trainer (MCT) and frequent conference speaker, Vivek is passionate about helping leaders and teams improve productivity, strengthen governance, and build practical AI solutions that deliver real-world outcomes. His sessions combine strategic insights, live demonstrations, and lessons learned from enterprise AI adoption initiatives.
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From Pilot to Production: Scaling AI Responsibly in Government and Public Sector Organisations
Artificial Intelligence has moved beyond experimentation. Governments and public sector organisations across the world are now exploring how to scale AI solutions that improve citizen services, increase workforce productivity, and accelerate digital transformation. The challenge is no longer whether to adopt AI, but how to do so responsibly, securely, and at scale.
In regulated environments, AI adoption requires more than technology. Success depends on governance, trust, security, compliance, workforce readiness, and clear business outcomes.
Drawing on real-world experience supporting organisations with Microsoft Copilot adoption, AI governance frameworks, and workforce transformation initiatives, this session explores the practical lessons learned when moving from pilot projects to enterprise-wide AI deployment.
Attendees will discover:
1. Why many AI initiatives struggle to move beyond proof-of-concept
2. Key governance, security, and compliance considerations for public sector AI
3. Strategies for building an AI-ready workforce and reducing resistance to change
4. Approaches for balancing innovation with responsible AI practices
5. Practical frameworks for measuring adoption, business value, and organisational impact
6. Lessons learned from regulated industries adopting AI at scale
Whether you are a technology leader, architect, AI practitioner, or government decision-maker, this session will provide actionable guidance for turning AI ambition into measurable and sustainable outcomes.
Building an AI-Ready Workforce: The Missing Link in Government AI Transformation
Governments worldwide are investing heavily in Artificial Intelligence to modernise public services, improve operational efficiency, and enhance citizen experiences. Yet many AI initiatives fail to deliver their expected outcomes, not because of technology limitations, but because organisations overlook the most critical factor in successful AI adoption: people.
While discussions often focus on AI platforms, models, governance, and infrastructure, the real challenge lies in preparing employees, leaders, and stakeholders to work effectively alongside AI. Without the right skills, culture, trust, and change management strategy, even the most advanced AI programmes struggle to move beyond pilot projects.
In this session, we will explore how government and public sector organisations can build an AI-ready workforce capable of embracing AI responsibly and confidently. Drawing on practical experiences from AI adoption, Microsoft Copilot enablement, workforce transformation programmes, and regulated industry engagements, attendees will learn what it takes to create sustainable organisational change in the age of AI.
Key topics include:
1.Why workforce readiness is the biggest predictor of AI adoption success
2. Common barriers to AI adoption in government and regulated environments
3. Building AI literacy across technical and non-technical employees
4. Creating AI champions and change networks
5. Balancing innovation with governance, security, and compliance requirements
6. Developing trust, transparency, and responsible AI practices
Measuring adoption, engagement, and business impact
7. Practical lessons learned from real-world AI transformation initiatives
Attendees will leave with a practical framework for building an AI-ready workforce that can accelerate AI adoption while maintaining the trust, accountability, and public service values expected within government organisations.
Whether you are a CIO, digital transformation leader, AI practitioner, policy maker, or public sector manager, this session will provide actionable insights and proven strategies to help your organisation move from AI experimentation to lasting organisational transformation
Trust Is the New Perimeter: AI Governance & Security in the Copilot Era
As AI becomes embedded in enterprise workflows through Microsoft 365 Copilot, Azure AI, and the Power Platform, traditional security boundaries are no longer enough. In the Copilot era, trust, governance, and responsible design form the new security perimeter.
This session focuses on practical, real-world approaches to governing and securing AI at enterprise scale. Attendees will learn how to manage data access, identity, and risk across the AI lifecycle—without slowing innovation.
The session includes live demonstrations showing how to apply AI governance and security controls using Microsoft technologies, including securing Copilot experiences, enforcing data boundaries, and aligning AI usage with compliance and responsible AI principles.
Designed for corporate leaders, architects, and practitioners, this session bridges strategy and execution, offering actionable guidance to build secure, compliant, and trusted AI solutions
Designing Enterprise-Grade Azure: Governance, Security, and Scaling for Business-Critical Systems
As organizations scale their cloud adoption, many quickly discover that moving to Azure is easy — operating Azure at enterprise scale is not.
In this session, we go beyond introductory cloud concepts to explore what it truly takes to design enterprise-grade Azure environments that are secure, governed, scalable, and ready for real-world workloads. Drawing from hands-on experience across large organizations and regulated environments, this talk breaks down the practical patterns, architectural decisions, and governance models that separate successful Azure platforms from costly cloud experiments.
You’ll learn how to structure Azure landing zones, enforce governance without slowing innovation, implement security by design, and scale platforms confidently as teams and workloads grow. We’ll examine real-world challenges such as subscription sprawl, identity complexity, cost control, data protection, and operational consistency — and show how Azure-native services and best practices address them.
Whether you are designing your first enterprise Azure environment or modernizing an existing one, this session will equip you with actionable guidance, proven frameworks, and lessons learned from the field — not just diagrams, but decisions you can apply immediately.
What Attendees Will Learn
1. How to design enterprise-ready Azure landing zones
2. Practical approaches to governance at scale using Azure-native tools
3. Security-by-design patterns for identity, networking, and data
4. Scaling Azure environments while maintaining control, compliance, and cost efficiency
5. Common mistakes organizations make — and how to avoid them
Govern or Be Governed: Making Power BI Reports Secure, Compliant, and Trusted
In today’s data-driven organizations, trust, compliance, and visibility are just as important as analytics. Without a strong governance framework, Power BI dashboards risk becoming siloed, untrusted, and non-compliant. This session explores how Microsoft’s Data Platform and Purview enable enterprises to establish end-to-end data governance—from raw data in Azure, through semantic models, to final reports in Power BI.
Attendees will learn how to:
1. Classify, catalog, and protect sensitive data with Microsoft Purview.
2. Apply data lineage and impact analysis to ensure transparency in BI reporting.
3. Enforce row-level and object-level security in Power BI.
4. Integrate compliance, auditing, and policy enforcement into the data lifecycle.
5. Balance self-service BI freedom with central governance controls.
We’ll also share real-world governance scenarios and a demo of Purview + Power BI integration, showing how organizations can achieve both agility and control in their analytics ecosystem.
Key Takeaways:
1. A practical blueprint for establishing governance in Microsoft’s Data Platform.
2. Hands-on techniques to make Power BI trusted, secure, and compliant.
3. How to empower business users with self-service analytics while keeping IT in control.
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