Gartner, Inc.

• How shared services are evolving under the current federal administration

• Which IT capabilities are best suited for shared‑service delivery models

• Why understanding total cost of ownership (TCO) is essential to realizing shared‑service value

• How to ensure shared services deliver the outcomes and value you expect

In this webinar, Gartner will explore how shared services are evolving today, provide guidance on identifying the IT capabilities that benefit most from shared delivery models, and explain why a clear understanding of total cost of ownership is foundational to success. You’ll also learn how CIOs can better manage expectations, governance and performance to maximize the impact of shared services across government agencies.

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• How to prepare your function to operate in an environment of truth decay

• Ways to work cross‑functionally to manage and mitigate reputation threats

• Strategies for preparing for and responding to misinformation

Communications leaders are challenged to protect and promote corporate reputation in an environment of truth decay. This environment is marked by the blurring of opinion and fact, declining trust in institutions and the rapid, large‑scale spread of mis‑ and disinformation.

This Gartner webinar explores how communications leaders can prepare their functions, collaborate across the enterprise and apply practical strategies to manage reputation risks in this evolving landscape.

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What you’ll learn

• What the future of data and analytics looks like in 2030 — and how data becomes a new currency of value

• How D&A leaders must build and scale architectures to support AI‑native decision making

• How to design an operating model that keeps pace with accelerating change

• How to translate vision into practical roadmaps based on organizational maturity and ambition

This webinar sets the vision for D&A in 2030, outlining how leaders can transition from today’s fragmented capabilities to AI‑native enterprises that treat data as a core strategic asset. We’ll explore the major shifts shaping the D&A agenda, including architectural evolution, operating model redesign, and new measures of value. You’ll gain guidance on how to assess your organization’s maturity, define ambition, and build pragmatic roadmaps that help you move steadily toward the D&A capabilities required to compete in the next decade.

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• Transform barriers into sparks by giving workers low-friction/low-risk starting points, mini-challenges and opportunities to practice using AI in realistic scenarios.

• Unlock engagement through communities by encouraging employees to participate in mini-challenges, share the best use cases and prompts, and support each other as they get started.

• Ring-fence and reward time spent learning to avoid exacerbating inertia by making, protecting and respecting the time people spend learning.

• Navigate the twists and turns ahead by leveraging a full spectrum of metrics(allowing leading to inform lagging metrics), continuously assessing impact, communicating progress and adjusting course.

CIOs are under pressure to accelerate workforce readiness for AI, but traditional training methods are falling short. When leaders fail to make AI adoption social and visible, they risk creating a workforce that’s compliant but not capable. Join this webinar to learn how to bridge the gap between strategic AI intent and practical workforce enablement.

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• The business benefits of adopting AI risk management frameworks.

• The pros and cons of existing AI risk management frameworks.

• How Gartner can help you benchmark your maturity against key AI risk management frameworks.

Many organizations lack a clear view of their AI cyber risk posture as AI adoption continues to accelerate. This webinar will cover the major AI risk management frameworks, such as the NIST AI RMF and ISO 42001, and how cybersecurity leaders can leverage them to identify governance and control gaps that lead to actionable remediation. This webinar will highlight the benefits — and drawbacks — of the various frameworks, helping cybersecurity leaders select the most appropriate framework for their organization. Finally, attendees will learn how Gartner can help organizations self-assess against key AI risk management framework implementation.

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• Define stakeholder roles and improve collaboration across the budgeting process

• Develop and apply a clear framework to prioritize budget decisions

• Adjust funding levels based on priorities to optimize resource allocation

Government leaders are under significant pressure to reduce costs, increase efficiency, and invest in new technologies like AI. To align with these priorities, government leaders should develop new performance-based approaches to budgeting. This webinar provides guidance on building a budget prioritization framework that aligns resources with new priorities and equips government leaders with improved processes to justify these investments.

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• Why agentic AI often becomes far more expensive in production than expected

• The true components of agentic AI total cost of ownership (TCO) beyond initial deployment

• Which skills are required to operate, govern and sustain agentic AI — and why most enterprises lack them

• How to anticipate and manage the “agentic AI hangover” after pilots move into production

Agentic AI promises autonomy, speed, and scale — but for many organizations, production reality brings a sobering hangover. Once agents are deployed, costs can escalate rapidly and skill gaps quickly surface, exposing risks that were easy to overlook during experimentation. 

In this webinar, we will explore the inconvenient truths of agentic AI in production, including the often‑underestimated total cost of ownership and the specialized skills required to manage and govern agentic systems effectively. You’ll gain a clearer understanding of what it truly takes to run agentic AI at scale — and how to prepare your organization before costs and complexity spiral.

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• Key insights from Gartner’s 2026 Magic Quadrant for Enterprise AI Coding Agents

• How to interpret the Magic Quadrant as a view of overall vendor position and the companion Critical Capabilities research as a deep dive into product capabilities

• How leading vendors are differentiating across agentic workflows, platforms, models, governance and enterprise readiness

• The market forces reshaping enterprise AI coding agents, including the rise of more autonomous workflows, expansion across the SDLC and frontier model providers moving up the stack

• What evolving pricing and consumption models mean for productivity, cost governance and ROI

• Key considerations for evaluating, adopting and scaling AI coding agents in enterprise software engineering organizations

Enterprise AI coding agents are reshaping software engineering as adoption expands, agentic workflows mature and vendor competition intensifies. What began as AI-assisted code completion has evolved into a market defined by increasingly autonomous systems that can plan, execute and verify multistep development tasks across code, tests and related engineering artifacts.

In this webinar, Gartner experts will walk software engineering leaders through the 2026 Magic Quadrant for Enterprise AI Coding Agents, offering insight into the vendor landscape, key evaluation criteria and major trends shaping the market. Attendees will learn how to interpret the Magic Quadrant through an enterprise buying lens, including how governance, pricing, support, deployment models, workflow integration and market durability affect vendor position.

The session will also help attendees understand the shift from AI code assistants toward agentic coding workflows across the SDLC. Whether you are evaluating your first enterprise AI coding agent or reassessing existing AI coding investments, this webinar will help you apply the research to tool selection, operating model decisions and AI-native software engineering strategy.

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• What’s new in the higher education ERP landscape and how to separate hype from what is real

• Who the major ERP vendors are and where their roadmaps are headed

• What changes will matter most for your roadmap, budget and student experience

Higher education ERP is evolving rapidly, making it difficult for institutions to separate meaningful change from noise. Emerging technologies — including agentic AI — are transforming ERP into a leaner and potentially more automated experience.

This session provides a clear view of what is truly changing in the ERP landscape, how leading vendors are evolving and what these shifts mean for institutional strategy. Gartner experts outline how ERP leaders can interpret vendor roadmaps, cut through hype and prepare for the impact on future investments and operating models.

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• Key drivers shaping the future of data and analytics governance

• Critical themes of evolution of data and analytics governance practices

• Action steps data and analytic leaders need to take for each of those evolutionary themes

As landscapes shift and we enter the age of AI, D&A leaders must learn to modernize governance while building on the current best practices. Join this complimentary Gartner webinar and learn the five major themes of D&A governance, critical actions needed to bridge today’s gaps in governance practices, and how to prepare for the next wave of AI-driven business change.

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• Where CPO and CIO roles intersect across IT sourcing and vendor management

• How procurement and IT responsibilities overlap across the vendor lifecycle

• Practical approaches to strengthen CPO–CIO collaboration

• How stronger alignment can improve value, efficiency and risk management

Procurement and IT are increasingly interdependent, yet organizations often miss opportunities to align these functions. This session explores the key intersections between CPO and CIO roles, particularly across IT sourcing, vendor management and the supplier lifecycle.

Gartner experts will outline how closer collaboration can improve alignment on technology strategy and requirements, strengthen compliance with procurement and risk processes and create more coordinated planning for major investments. The discussion also highlights how clearer roles and responsibilities can reduce duplication, increase efficiency and unlock more meaningful savings through coordinated negotiations.

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• How to elevate privacy from compliance to a strategic priority

• How to embed privacy into architecture using zero‑trust and automated auditing

• How privacy frameworks can enable secure innovation, including AI adoption

• How to strengthen citizen trust through transparency and responsible data practices

Privacy is no longer just a legal requirement, it is a strategic driver of resilience and trust in government. As scrutiny increases, agencies must move beyond check‑the‑box compliance to embed privacy into how they design, operate and innovate.

In this session, Gartner experts explore how organizations can operationalize privacy through architecture, governance and national frameworks. The discussion highlights how transparent data practices and responsible AI adoption can help build citizen trust engagement and trust.

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• The current state of AI agent adoption and use cases

• Key lessons from early implementations of AI agents

• How AI agents are reshaping CIO priorities and the IT function

• What it takes to prepare your organization and technology stack for AI agents

AI agents represent a significant evolution in enterprise AI, moving beyond automation to systems that can plan, reason and execute complex tasks. With this change, CIOs must reassess how technology, operations and the business interact.

This session examines the current state of AI agents, early lessons from deployment and the implications for CIO strategy. Gartner experts outline how CIOs can prepare an agent‑ready IT stack, increased automation in IT operations, new self‑service models for the business and emerging governance and security considerations as agentic AI expands across the enterprise.

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