Gartner, Inc.
Gartner is a global research and advisory company that provides business leaders and technology professionals with research, insights, consulting, and events to support strategic decision-making. Gartner hosts conferences, symposiums, and executive events covering IT strategy, cybersecurity, artificial intelligence, cloud computing, digital transformation, and enterprise technology.
Upcoming Gartner, Inc. Events
Join us at The World’s Most Important Gathering of CHROs and HR Executives™ to tackle priorities on the new human-AI workforce, foundations for performance and navigating shifting skills requirements.
Why Gartner conferences?
- Insights you can trust - Join us for the only IT conference shaped by data-driven insights and more than 200,000 annual conversations between Gartner experts and the IT community.
- Validate your strategy - Our global team of 60+ on-site data, analytics and AI experts helps you create and validate your game plan using actionable business and technology insights.
- Strengthen your network - Join a large and diverse group of data, analytics and AI executives at a conference that prioritizes meaningful interactions and powerful connections.
What you’ll learn
Learn how CIOs and CFOs can create cost transparency and shared accountability across decentralized cloud, SaaS and AI spending
Explore approaches for building investment discipline, outcome metrics and value-based governance across the enterprise
Discover how modernization can fund future growth by reducing structural costs and increasing reinvestment capacity
Understand the hidden cost drivers that emerge as AI initiatives scale, beyond models, tokens and infrastructure
Most AI cost conversations start and end with tokens, models and infrastructure. But for CIOs seeking to scale AI across the enterprise, these visible expenses often represent only a fraction of the total cost. Workforce readiness, governance, workflow redesign, data management, human oversight and organizational adoption can have a significant impact on the economics of AI initiatives.
This webinar explores the broader costs of AI and helps CIOs develop a more complete understanding of where spending and value creation occur as AI adoption expands. Learn how to evaluate AI investments beyond technology costs, improve cost visibility, strengthen business accountability and make more informed decisions that balance innovation, risk and enterprise value.
What you’ll learn
- Explain how Fabric IQ uses ontologies to provide business context for AI agents
- Evaluate Fabric IQ’s suitability for use cases involving semantic modeling, real-time intelligence, operational agents, interoperability, and formal governance
- Develop an adoption approach that combines AI-assisted discovery, business-led modeling, subject matter expert validation and human oversight
Microsoft Fabric IQ promises to help data and analytics (D&A) leaders turn enterprise data into governed context for AI agents, real-time intelligence, and operational decision making. This webinar will examine how Fabric IQ can accelerate ontology creation, reuse Power BI semantic definitions, and support real-time investigation and action. It will also address critical challenges, including the risks of relying on AI-generated context without expert validation. Attendees will learn how to evaluate Fabric IQ’s readiness for specific use cases and develop an incremental adoption approach that balances innovation with governance, portability, and human accountability.
What you’ll learn
Identify the technology vendors and markets most likely to emerge as 2027 share leaders and laggards, including key AI-related competitive races
Explain the major market share transitions expected through 2027, including how changing market conditions and vendor momentum may alter competitive positions
Navigate and interpret the Market Share Momentum (MSM) publication and accompanying Excel dataset to assess vendor rankings, projected market size, revenue growth and market share movement across relevant technology markets.
Apply MSM findings to assess competitive risk, identify growth opportunities and inform product, investment and go-to-market decisions
Technology markets are being reshaped by AI, shifting customer demand and changing competitive dynamics. Product and technology leaders face increasing pressure to anticipate market shifts, identify emerging winners and understand where disruption is most likely to occur. Organizations that fail to recognize changing market momentum risk making investment and portfolio decisions based on yesterday's market conditions.
Gartner's Market Share Momentum (MSM) research predicts potential market share leaders and laggards for 2027 by combining historical market share and forecast data with proprietary performance and revenue gap analysis. This webinar examines the technology vendors, competitive races and markets expected to experience the most significant share shifts, while demonstrating how leaders can use MSM research and data to inform their approach to winning in 2027.
What you’ll learn
Separate AI reality from hype and focus investments on sustainable value creation
Understand why AI access and adoption do not automatically translate into business impact
Learn what leading CEOs and boards are doing differently to prepare for AI at scale
Interest in AI agents continues to accelerate as organizations move from experimentation to deployment. As business leaders seek faster ways to create and scale agentic solutions, no-code agent builders are emerging as a critical technology for empowering citizen developers while reducing reliance on scarce technical resources.
However, increased accessibility introduces new challenges. Organizations must balance innovation and speed with governance, security and oversight while navigating a rapidly evolving vendor landscape. At the same time, enterprises are evaluating how best to support increasingly sophisticated use cases, including multiagent workflows, autonomous decision making and cross-platform orchestration.
In this webinar, Gartner Sr. Director analyst Kelli Smith will explore the emerging no-code agent builder market, key adoption trends and the approaches vendors are taking to address enterprise requirements. The session will examine how organizations can evaluate platform options, establish an effective governance strategy and prepare for the next phase of agentic AI adoption.
Attendees will leave with practical guidance for selecting no-code agent builder platforms, scaling AI agent development responsibly and positioning their organizations for the future of autonomous business.
What you’ll learn
Identify practical approaches for streamlining citizen journeys and improving service delivery
Prioritize citizen experience investments based on citizen value, mission outcomes and operational impact
Use citizen insights and outcome-driven measures to guide digital transformation decisions and demonstrate value
Citizen expectations continue to rise as government organizations face increasing pressure to improve service delivery, strengthen trust and demonstrate value from digital transformation investments. To meet these demands, government leaders must put the citizen at the center of their transformation efforts while balancing operational efficiency and resource constraints.
In this webinar, Gartner will share how government leaders can take a citizen-centered approach to digital transformation to build trust, streamline operations, improve service delivery and reduce costs. Learn how leading organizations prioritize citizen experience initiatives, better understand citizen needs and align digital investments with mission outcomes to deliver measurable value for both citizens and government organizations.
Participate in discussions on the most critical issues impacting CDAOs today:
- Scalable Use Cases That Demonstrate Business Impact
- Strengthen AI Governance to Ensure Compliance and Manage Risks
- Accelerate AI Adoption Through Workforce and Data Preparation
What you’ll learn
Identify and address the hidden barriers preventing AI initiatives from moving beyond pilots
Strengthen AI adoption by designing effective human-AI partnerships and AI fluency
Improve trust, supervision and user engagement through human-centric AI design principles
Build scalable operating models that deliver repeatable business value from AI
Software engineering and technology leaders are in the race to operationalize AI across applications, workflows and development tools while demonstrating measurable business value. Yet most technology leaders struggle to scale deployments, due to adoption challenges, limited trust, inconsistent supervision and organizational barriers that undermine user engagement and ROI. Insights from Gartner research show that successful organizations focus not only on model performance, but also on how humans and AI agents work together
This webinar explores how organizations can unlock the human-AI multiplier by strengthening AI fluency, designing effective human-AI partnerships and building operating models that support sustainable adoption. Drawing on Gartner's human agent experience (HAX) principles, we'll share practical guidance for reducing friction, increasing trust and scaling AI in ways that deliver repeatable business value without creating unnecessary complexity, technical debt or "AI slop."
As AI agents reshape B2B demand generation, marketing leaders must move beyond experimentation and establish the governance, ownership and operating models needed to deliver business value at scale. A new role, the demand architect, is emerging to help organizations design, orchestrate and govern AI-driven demand generation strategies.
In this Gartner webinar, learn how demand architects can drive the transition to AI-powered demand generation by ensuring agentic AI adoption is strategically aligned, governed and measurable. Explore the skills, success factors and best practices required to redesign demand generation teams, strengthen cross-functional collaboration and improve marketing effectiveness. Gain practical guidance for positioning your organization at the forefront of AI-driven demand generation.
Join us to uncover the latest customer service and support insights and solutions with experts, peers and solution providers to shape your organization.
Why Gartner conferences?
- Insights you can trust - Join us for the only IT conference shaped by data-driven insights and more than 200,000 annual conversations between Gartner experts and the IT community.
- Validate your strategy - Our global team of 60+ on-site data, analytics and AI experts helps you create and validate your game plan using actionable business and technology insights.
- Strengthen your network - Join a large and diverse group of data, analytics and AI executives at a conference that prioritizes meaningful interactions and powerful connections.
What you’ll learn
- Identify the cost, cyber security and trust risks that threaten AI scale.
- Implement governance practices that protect AI value.
- Prioritize business context and human oversight to improve AI outcomes.
As part of Gartner's AI Value Gap Is Really an AI Risk Gap theme, this webinar explores why the biggest obstacle to realizing enterprise AI value is not innovation, but risk. While many organizations demonstrate promising results in AI pilots, scaling those initiatives often exposes hidden challenges related to cost, cybersecurity and trustworthiness that can undermine expected business outcomes.
Join Gartner analyst Rita Sallam to examine the risks that emerge as AI moves from experimentation to enterprise adoption. Learn how leading organizations are approaching continuous value protection through automated governance, cost optimization and context-driven AI design to close the gap between AI ambition and measurable business value.
What you’ll learn
Evaluate emerging AI technologies, including open-source models and AI-confidential computing
Understand how AI-native business models and outcome as agentic solutions are reshaping value creation and delivery
Assess the impact of agentic user experiences, commerce and ecosystem innovation on enterprise strategy
AI innovation is accelerating globally, creating new opportunities and competitive pressures for CIOs and technology leaders. As China continues to advance AI technologies, business models and ecosystem strategies, leaders must understand which developments are likely to influence enterprise technology decisions, operating models and digital transformation priorities.
This webinar explores five breakthrough AI and innovation trends emerging from China that are shaping the global technology landscape. By examining open-source models, outcome as agentic solution, agentic UX, commerce and ecosystem, AI-native business models, and AI-confidential computing, the session provides actionable insights for CIOs and AI leaders. Understanding these trends is crucial for staying competitive, as China’s advances are influencing global standards and strategies. Attendees will leave with practical insights to help guide digital transformation, enhance security, and leverage new business models, preparing them to lead confidently in the rapidly evolving world of AI drive innovation.
What you’ll learn
Identify what strategic technology trends will emerge in 2027 that will shape enterprise decision-making in 2027 for CIOs
Understand how autonomous systems and advanced AI models are changing business and operating models
How to assess the governance, security and risk implications of emerging AI-driven technologies
Software is shifting from scarcity to abundance in 2027, creating new opportunities and challenges for CIOs. As autonomous systems, advanced AI models and machine-driven decision-making become more prevalent, technology leaders must rethink how they govern innovation, manage risk and create business value.
In this webinar, Gartner analysts explore the top strategic technology trends expected to shape 2027 and explain why they matter to CIOs. Learn how specialized quantitative, speech and world models are expanding enterprise AI capabilities; how AI context platforms, AI-secure identity systems and automated exposure remediation can help govern machine behavior and reduce risk; and how sovereign technology strategies can support long-term resilience and organizational independence. Gain the insights needed to prioritize investments, balance innovation with risk management, and prepare your organization for the next phase of autonomous business.