No items found.

EP 8. The AI Paradox: Trusting Intelligence at Scale with DataIQ's David Reed

This episode explores the growing disconnect between massive enterprise investment in AI and the limited business value many organizations are actually realizing. Despite intense pressure from boards and investors to “move faster” on AI, most enterprises remain stuck in pilots and proofs of concept rather than achieving true transformation, a challenge the panel calls the AI Value Paradox.

In collaboration with DataIQ, this episode features David Reed (Chief Knowledge Officer, Data IQ) alongside the Blend leadership team: Ozgur Dogan (President, Americas, Blend), Rob Fuller (Chief Solutions Officer, Blend), and Caroline Caldwell (Evolve Host and Head of Marketing, Blend) as they cut through the hype to explain why “experimenting with AI” often fails to become “transforming with AI".

The big unlock is not automating yesterday’s workflow faster. It’s redesigning how work should happen now that software can take on tasks that once required humans. That’s where ROI lives, but it also demands discipline: clear processes, strong guardrails, and the willingness to do the hard operational work (not just demos). “Agentic” isn’t a magic digital employee, either; it’s a coordinated system of smaller capabilities, drafting, checking, routing, retrieving, validating, working together. If the underlying process is unclear or messy, agents won’t fix it; they’ll just scale the mess.

The team closes with a grounded message: ambition isn’t the finish line, execution is. Customers don’t want AI for its own sake; they want a better version of your brand experience, powered by AI in ways that actually work.

Key takeaways:

  • Escape pilot purgatory: if it can’t tie to measurable outcomes, it won’t scale.
  • Redesign before you automate: otherwise you accelerate broken workflows.
  • Make value real: “time saved” only matters if it converts to revenue, cost, speed, or quality.
  • Agentic needs orchestration: it’s many small automations + guardrails, not one autonomous worker.
  • Data readiness is broader now: unstructured info + institutional know-how matter as much as databases.
  • Execution > hype: aim for a stronger business and a better customer experience.

Meet the Host

Caroline Caldwell
Linkedin
Head of Marketing, Blend

Caroline Caldwell is Head of Marketing at Blend, where she built and scaled the global marketing function to position the company as a leader in AI services. With experience spanning Oracle, Merkle, and high-growth ventures, she specializes in transforming emerging technologies into scalable, revenue-driving marketing engines. Caroline is passionate about helping enterprises operationalize AI at scale and building teams that turn bold vision into measurable growth.

Caroline Caldwell
Linkedin
Head of Marketing, Blend

Caroline Caldwell is Head of Marketing at Blend, where she built and scaled the global marketing function to position the company as a leader in AI services. With experience spanning Oracle, Merkle, and high-growth ventures, she specializes in transforming emerging technologies into scalable, revenue-driving marketing engines. Caroline is passionate about helping enterprises operationalize AI at scale and building teams that turn bold vision into measurable growth.

Meet the Guests

David Reed
Linkedin
Chief Knowledge Officer

David Reed is the author of "Winning with AI", a guide to embedding artificial intelligence into data-driven brands, and "Becoming Data Literate", a game-changing book on how to ensure data becomes central to the culture of organisations. As Chief Knowledge Officer and Evangelist at DataIQ, where he was worked since 2011, he supports leading brands, senior data leaders and their teams to drive impact from data and AI.

Oz Dogan
Linkedin
President, Americas

Ozgur Dogan is President of Blend and a co-founder of the company, where he helps clients harness AI, data, and technology to drive measurable business outcomes. In this episode, he unpacks the AI Value Paradox and explains why the biggest ROI comes from reimagining how work gets done rather than simply automating legacy tasks, while highlighting the importance of orchestration and the evolving roles and job families required to scale agentic systems responsibly.

Rob Fuller
Linkedin
Chief Solutions Officer

Rob Fuller leads data and AI strategy at Blend as the Chief Solutions Officer, where he architected Blend X, the company's strategic middle layer that enables enterprises to deploy AI solutions with consistency and speed while maintaining customization. In this episode, he explores what it really takes to scale agentic systems, clarifies common misconceptions around digital labor and autonomy, and emphasizes the need for process rigor, measurable value creation, and strong data foundations to move AI from pilots into production

Explore More Episodes

EP 10. Future of Talent: The AI Skillset

Featuring

Blend

In this episode of the Evolve Blend podcast, Caroline Caldwell sits down with Erik Wischhusen, Steven Tom, and Celia Wanderley to unpack how AI is reshaping the skills, teams, and operating models needed to move from demo to production. The conversation explores agentic engineering, the shift from coder to builder, and why the future belongs to organizations that can combine speed, trust, and scalable human and AI collaboration.

EP 9: The Agentic Shift: When AI Becomes a Commerce Channel

Featuring

Caroline Caldwell

Episode 9 explores the agentic shift—a moment where AI moves beyond being a tool and becomes a new channel for customer interaction and commerce. As conversational interfaces and AI agents reshape how people research, evaluate, and purchase products, enterprises must rethink how they design experiences, connect their data, and represent their brand. Ryan Serpan and Jordan Cardonick join host Caroline Caldwell to discuss what this transformation means for customerexperience, measurement, and the future of digital commerce.

EP 7: The Data Goldmine Hidden in Payments

Featuring

Blend

In this episode, Alex sits down with Rob and Donald to unpack how AI could reshape payments and embedded finance—making integrations smoother, speeding up transaction cycles, and unlocking new value-added experiences from network-level data (especially in travel and loyalty).

EP 6: Design Principles for an Agentic Future

Featuring

Blend

In this episode, Alex sits down with Donald to unpack what it means to design for an agentic future—especially in high-stakes categories like financial services. Donald argues that while design principles have always existed, AI makes them non-optional: teams need to return to first principles constantly as products shift from static screens to adaptive, sometimes non-visual experiences. He also predicts a major workflow inversion: AI enables near-instant prototyping, so organizations can move from idea to experience in minutes, and then refine design intentionally rather than waiting for a long build cycle.