Gartner, Inc.

What you’ll learn

• Practical techniques to strengthen critical thinking and reduce automation bias when using AI

• How to improve validation and decision-making across technology, clinical and business teams

• Approaches to building AI literacy through repeatable, measurable exercises

AI literacy is becoming a critical differentiator for organizations seeking to realize value from their AI investments. Yet many enterprises continue to face a human capability gap, where skills such as critical thinking, effective model engagement and output validation lag behind the pace of technology adoption.

This session introduces a repeatable "hallucination hunter" exercise designed to help teams strengthen critical thinking, improve validation workflows and build confidence in AI-assisted decision making. Gartner experts will explore how organizations can develop measurable AI literacy competencies, incorporate capability-building exercises into everyday work practices and create a more disciplined approach to safe and effective AI adoption across technology, clinical and business teams.

Join us to uncover the latest insights and solutions in procurement, sourcing, vendor and supplier management with experts, peers and service providers to accelerate your business.

What you’ll learn

• How AI pricing models are evolving and what may come next

• The implications of emerging pricing approaches for budgeting and financial planning

• How new AI pricing models affect governance, cost management and value measurement

• Actions CIOs can take today to prepare for future AI commercial models

The AI commercial landscape is undergoing a fundamental shift, with new pricing approaches changing how organizations plan, govern and measure AI investments. As AI adoption expands, CIOs must navigate increasing complexity around costs, budgeting and value realization.

This session explores the evolution of AI pricing models and what they mean for enterprise decision making. Gartner experts examine the challenges emerging pricing approaches create for budgeting, governance and financial planning, and discuss how organizations can adapt. Attendees will gain practical insights into the future of AI pricing and the steps CIOs can take today to prepare for tomorrow’s AI commercial landscape.

What you’ll learn

• Major agentic AI trends shaping government organizations

• How government agencies are using agentic AI today

• Key success factors for realizing value from agentic AI initiatives

Government organizations are seeing meaningful productivity gains from their use of generative AI and are increasingly exploring the potential of agentic AI to drive greater operational impact. As adoption expands, leaders must understand where these technologies are delivering value, which use cases are gaining traction and what barriers still stand in the way of broader success.

This session examines major agentic AI trends in government, highlights key use cases across agencies and explores the factors that contribute to successful AI initiatives. Gartner experts will discuss how organizations are measuring productivity gains, prioritizing AI investments and building the foundations needed to scale AI adoption and business value over time.

What you’ll learn

• Five emerging AI technologies expected to shape tech provider success over the next 12 months

• High-value use cases and opportunities to deliver customer value

• How to inform product roadmaps, R&D planning and investment priorities

As the AI market evolves, the competitive landscape is shifting beyond individual AI agents toward autonomous, multiagent systems with advanced reasoning, vision and spatial intelligence. For tech providers, understanding these emerging technologies is critical to shaping future products, platforms and business models.

Drawing on Gartner’s 2026 Case-Based Research (CBR), this session explores five emerging AI technologies that are expected to have a significant impact on the market. Gartner experts examine key trends, including the rise of multiagent systems, reasoning-enabled models, vision intelligence, spatial intelligence and domain-specific AI models. The discussion highlights the opportunities and challenges these technologies present and their implications for product strategy, R&D investments and long-term growth.

What you’ll learn

• Improve workflows and processes to better support AI agent adoption.

• Equip AI agents with the context and knowledge they need to be effective.

• Use platform engineering to institutionalize and scale AI agent enablement.

• Understand the relationship between software delivery maturity and AI agent success.

AI coding agents can improve productivity and quality, but only when supported by mature workflows, structured context and effective software delivery practices. This webinar explores how organizations can prepare for AI agent adoption by improving documentation, automation and internal platforms, while providing agents with the organizational knowledge they need to deliver value. Attendees will learn how platform engineering can help scale and sustain AI agent enablement across development teams.

What you’ll learn

• How agentic arbitrage could reshape enterprise software spending through 2030

• Why digital sovereignty is influencing cloud spending and provider selection

• How AI revenue expectations are driving shifts across the technology ecosystem

• What market forces are likely to shape technology opportunities and economics in 2027

Discover how emerging market dynamics and ecosystem transitions could reshape technology markets in 2027. As AI agents move through the Trough of Disillusionment and GenAI adoption matures, technology leaders face the challenge of separating long-term opportunity from near-term hype. While new AI capabilities and use cases continue to emerge, investment focus is increasingly shifting from ambitious experimentation to practical business outcomes.

The backdrop for 2027 remains marked by uncertainty and market friction. Digital sovereignty initiatives are gaining momentum, memory costs remain a concern and power infrastructure constraints continue to influence the pace of AI expansion. At the same time, investor demand for AI-driven growth is reshaping competitive dynamics across the technology ecosystem.

Designed for technology service providers (TSPs), this webinar explores the market forces, risks and opportunities expected to influence technology investment and growth in 2027.

What you’ll learn

• How to select and prioritize AI value metrics that align with growth, margin improvement, workforce productivity and client experience

• How to build an executive-level AI dashboard using leading and lagging indicators

• How to evaluate AI investments across growth, efficiency, adoption and client outcomes

• How to demonstrate business value and support more effective AI investment decisions

AI investments are accelerating across tech services organizations, yet many leaders still struggle to demonstrate which initiatives are delivering meaningful business value. Designed for tech services leaders responsible for practice strategy, P&L performance, delivery transformation and workforce productivity, this webinar introduces Gartner’s framework of 10 AI value metrics.

Attendees will learn how to move beyond isolated productivity measures and adopt a balanced set of metrics that assess growth, efficiency, talent development, adoption, governance and client outcomes. The session will explore how to build executive-level dashboards, prioritize AI initiatives, support investment decisions and demonstrate the business impact of AI across the organization.

What you’ll learn

• How to embed security across the data life cycle rather than treating it as an add-on layer

• How zero trust principles support a data-centric security approach

• High-value use cases for AI-driven adaptive controls

• Practical steps to build a more resilient security posture

Reactive approaches to data security are proving insufficient in today's threat environment. As organizations face increasingly complex risks, many are shifting toward data-centric security models that embed protection throughout the data life cycle and strengthen resilience. In this complimentary Gartner webinar, Gartner experts will explore the evolution to data-centric security, the role of AI-driven adaptive controls and the importance of aligning incident response with business continuity. Attendees will gain practical guidance and a maturity roadmap to help move from response-focused defenses to a more proactive and resilient security posture.

What you’ll learn

• Understand how CEO expectations for AI are evolving across business functions

• Navigate a distributed AI leadership model where accountability extends beyond IT

• Identify how CEOs evaluate AI investments, outcomes, and leadership effectiveness

• Adapt strategy, priorities, and metrics when technology becomes a primary growth driver

AI has become a top CEO priority for driving growth, but ownership is increasingly distributed across the C-suite rather than centered in IT. As organizations expand AI investments, leaders are expected to demonstrate business outcomes, align AI initiatives to functional priorities, and contribute to growth strategies in measurable ways. 

This webinar explores what CEOs expect AI to deliver across technology, finance, HR, operations, and other functions, where confidence gaps remain, and how success is being measured. Attendees will gain practical insights into how CxOs can translate AI investments into business outcomes, operate in a distributed leadership model, and meet rising CEO expectations.

What you’ll learn

• Identify and mitigate the unique risks associated with AI agents in production

• How to establish reusable governance practices that can be embedded into engineering and operational workflows

• Implement a scalable framework for maintaining accountability, oversight, and control as AI adoption grows

As AI agents move beyond experimentation into operational workflows, organizations face a new challenge: ensuring that increasing autonomy does not outpace oversight. When agent decision-making authority expands faster than governance structures, agent authority drift can emerge, creating unintended business, operational, and risk outcomes. 

This webinar explores practical approaches for governing AI agents at scale. Learn how to embed governance into workflows, define accountability, and establish the oversight needed to maintain control as AI capabilities evolve.

What you’ll learn

• Evaluate the current and emerging roles of AI across logistics operations and their potential business impact

• Determine how AI will reshape logistics work, decision making and operating models over the coming years

• Identify the process, data and governance foundations required to scale AI beyond isolated pilots

• Prioritize actions to position your logistics organization for sustainable value creation through AI

AI in logistics is entering a new phase. What began as targeted applications for prediction, optimization and automation is evolving into capabilities that support decisions, orchestrate workflows and increasingly influence execution across logistics networks. Yet many organizations struggle to move beyond isolated AI pilots because inconsistent processes, fragmented data and disconnected operations limit scalable value realization.

In this webinar, we will examine where AI is delivering value today, how its role in logistics is evolving and what distinguishes organizations that successfully scale AI adoption. Learn how AI is changing logistics work, decision making and operating models, and explore the critical actions leaders should take to strengthen readiness and capture sustainable business value.

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What you’ll learn

• Identify the execution-layer dependencies that determine whether AI agents can operate reliably across enterprise applications.

• Assess automation readiness by evaluating governance, integration, observability, failure-handling and recovery capabilities

• Distinguish between AI capabilities that interpret and recommend actions and automation capabilities that execute and control business processes

• Design governed execution capabilities that enable reliable agent behavior while reducing operational risk
  
  

Application architects are under increasing pressure to deploy AI agents across CRM, ERP and other enterprise applications. However, many initiatives struggle because the underlying automation foundation is fragmented, insufficiently governed or not designed for agent-driven execution. In many cases, automation maturity, not AI sophistication, determines whether agents can execute work reliably at scale.

This webinar explores the execution layer behind agentic AI, including workflows, integrations, governance controls and recovery mechanisms. Learn how to assess automation readiness, identify architectural gaps and strengthen the governed execution capabilities that enable reliable, scalable and controlled AI agent behavior across enterprise systems.

Contact us at [email protected] with questions about viewing this webinar.

What you’ll learn

• What separates high-performing CIOs in technology risk management

• CIO-specific accountability and involvement across key technology risk domains

• How leading CIOs strengthen resilience, cybersecurity readiness and AI risk governance

• Approaches for elevating technology risk into a board-level conversation

CIOs are under growing pressure to protect the business while enabling innovation. As technology risks become more interconnected and visible to boards and executive teams, many organizations are reassessing how technology risk is managed, governed and communicated. Leading CIOs are taking a more active role in strengthening resilience, cybersecurity readiness and AI risk governance while building greater confidence among business stakeholders. 

This webinar will reveal what high-performing CIOs do differently to strengthen technology risk management, resilience, cybersecurity readiness and AI risk governance. Based on recent survey insights, the session will help CIOs benchmark their practices against peers, identify where risk programs fall short, and understand which leadership behaviors, operating models and capabilities associated with technology risk excellence.

Contact us at [email protected] with questions about viewing this webinar.