As marketing leaders face increasing pressure to justify spending and demonstrate business impact, marketing operations platform Uptempo is using the Gartner Marketing Symposium/Xpo 2026 stage to address one of the industry's most persistent challenges: proving marketing ROI in the age of artificial intelligence. The company's panel discussion, featuring executives from IBM, Indeed, and AT&T, will explore why fragmented marketing data remains a major barrier to AI adoption and measurable business outcomes.

Artificial intelligence has become the centerpiece of modern marketing transformation strategies, yet many organizations continue to struggle with a challenge that predates generative AI: proving marketing's contribution to business growth.

At the Gartner Marketing Symposium/Xpo 2026, marketing operations provider Uptempo is bringing together senior leaders from some of the world's largest organizations to discuss how marketers can rebuild data foundations, improve decision-making, and unlock more reliable ROI measurement in an increasingly AI-driven environment.

The panel session, titled "The ROI Blueprint: Rebuilding Marketing for the AI Era," comes at a time when chief marketing officers face growing scrutiny from boards, CEOs, and CFOs regarding marketing efficiency, budget allocation, and revenue contribution.

While AI tools promise unprecedented levels of automation, predictive analytics, and operational intelligence, industry experts argue that many organizations are attempting to build AI capabilities on top of fragmented and disconnected data ecosystems.

According to Uptempo Chief Marketing Officer Marie Bahl, AI alone cannot solve marketing's accountability challenges.

The company's central argument is that trustworthy AI outcomes require trustworthy data foundations. Without unified planning, budgeting, performance, and spend management systems, AI models may generate insights that lack context, consistency, and strategic value.

This concern is increasingly echoed across the marketing technology industry.

Research from Gartner consistently identifies data quality, governance, and integration challenges as major obstacles to successful AI implementation. Similarly, analysts at Forrester have emphasized that organizations must establish strong data governance frameworks before expecting meaningful returns from AI investments.

The panel brings together executives from some of the world's most influential enterprise brands, including IBM, Indeed, and AT&T. Their participation reflects the growing importance of marketing operations, performance management, and data-driven decision-making across industries.

Among the topics expected to dominate the discussion is the challenge of reconciling multiple marketing data streams without requiring costly infrastructure replacements.

For many enterprises, marketing information remains distributed across customer relationship management systems, analytics platforms, advertising networks, budgeting applications, content management systems, and campaign execution tools. This fragmentation often makes it difficult to create a unified view of performance or establish clear attribution models.

The emergence of agentic AI introduces both opportunities and risks.

Proponents argue that AI agents can automate analysis, identify optimization opportunities, and accelerate decision-making. However, many experts caution that AI systems are only as effective as the data they access. When underlying datasets are incomplete, duplicated, or inconsistent, AI-driven recommendations may amplify existing inefficiencies rather than resolve them.

The panel will also address a broader strategic issue: marketing's role within executive leadership teams.

Despite decades of investment in analytics, attribution modeling, and performance measurement, many marketing leaders continue to struggle to communicate their business impact in financial terms. This challenge has contributed to ongoing debates regarding marketing's influence within the C-suite compared to functions such as finance, operations, and technology.

Industry analysts suggest that solving this problem requires more than better dashboards.

Increasingly, organizations are moving toward decision intelligence frameworks that combine data integration, business context, predictive analytics, and AI-driven recommendations to support strategic planning. These systems aim to move beyond reporting what happened and instead help leaders understand why outcomes occurred and what actions should follow.

Uptempo's vision aligns with this trend through its focus on Decision Intelligence, a marketing-specific approach that integrates planning, budgeting, spend management, and performance data into a unified decision-making environment.

The concept reflects a broader evolution within marketing technology.

As AI adoption accelerates, competitive advantage is shifting away from simply deploying AI tools and toward building the information architecture necessary to support intelligent decision-making. Many industry observers now argue that organizations that prioritize data governance, integration, and operational alignment will be better positioned to realize AI's full value.

For marketing leaders attending Gartner Marketing Symposium/Xpo 2026, the discussion represents an opportunity to examine a question that continues to define the future of the profession: how to transform marketing from a cost center frequently defending its budget into a strategic growth function capable of demonstrating measurable business value.

Market Landscape

The marketing technology industry is entering a new phase where AI adoption is increasingly dependent on data quality and operational maturity rather than tool availability. According to Gartner, Forrester, and IDC, enterprises are prioritizing data governance, measurement frameworks, and cross-functional integration as foundational requirements for AI success.

At the same time, growing economic uncertainty and budget scrutiny are increasing demand for marketing accountability. Organizations are investing in marketing operations platforms, decision intelligence solutions, and performance management technologies that can provide greater visibility into ROI and business impact.

The convergence of AI, data governance, and financial accountability is expected to become one of the defining themes shaping marketing leadership over the next decade.

Top Insights

• Uptempo is leading a Gartner Marketing Symposium panel focused on marketing ROI, AI readiness, and data governance.
• Executives from IBM, Indeed, and AT&T will discuss how fragmented marketing data limits AI effectiveness.
• Marketing leaders face increasing pressure from boards and executive teams to demonstrate measurable business impact.
• Agentic AI adoption is accelerating, but organizations continue to struggle with disconnected data ecosystems.
• Decision Intelligence is emerging as a potential framework for connecting planning, budgeting, spend, and performance data into actionable insights.

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