Eric Williamson is the Chief Marketing Officer at CallMiner, an AI-powered customer experience automation platform that analyzes customer interactions to uncover insights and improve service performance. In his role, he oversees global marketing across brand, demand generation, events, and growth strategy. Eric brings more than 20 years of experience across B2B technology, consumer marketing, agency leadership, and content strategy.

AI is changing the economics of customer service, but the real shift is not just replacing people with bots. Enterprise teams are being forced to rethink what they automate, what they build internally, and where outside platforms can still create value. When everyone can access powerful AI tools, how do companies decide what is worth building themselves?

As a B2B technology marketing leader with expertise in AI, automation, brand strategy, and enterprise growth, Eric Williamson explains that the answer starts with intelligence. Companies need to understand which customer interactions are best suited for automation before they deploy AI agents at scale. Eric emphasizes that many teams underestimate the long-term cost of building AI tools in-house, especially when those tools need to match the depth, reliability, and insight of established platforms. The stronger approach is to start small, identify the right use cases, create a seamless handoff between AI and humans, and use customer interaction data to guide automation decisions.

In this episode of the Revenue Engine Podcast, Alex Gluz talks with Eric Williamson, Chief Marketing Officer at CallMiner, about build-versus-buy decisions in AI and what enterprise teams often get wrong. Eric shares how AI agents are reshaping customer service, why SaaS pricing is moving toward consumption models, and what brand visibility means for B2B growth. He also touches on agency resourcing, LMO, and avoiding AI-generated content that lacks quality.

Matt Overman is the Chief Revenue Officer at Identity Digital, a global internet infrastructure company that operates and supports hundreds of top-level domains. He leads revenue strategy, commercial growth, and partnerships across the company's wholesale domain network, working with registrars, website builders, AI platforms, and business services. With nearly two decades in the domain industry, Matt brings deep expertise in digital identity, domain distribution, emerging TLD trends, and the role of domains as trust anchors for people, brands, and AI agents.

Domain names are no longer limited to helping people find a website. They are becoming signals of identity, credibility, and ownership in a digital world shaped by new extensions and AI. What role will they play as online interactions become more automated?

Matt Overman, a domain industry expert with nearly two decades of commercial experience, sees domains becoming a foundational identity layer for people, businesses, and AI agents. Choosing extensions that reflect purpose, owning a space outside third-party platforms, and embedding domain purchases into existing workflows can strengthen trust while reducing friction. Matt also emphasizes reliable infrastructure and mutually beneficial partnerships as essential to sustainable growth. Together, these ideas point toward a more durable, verifiable, and user-controlled digital ecosystem.

In this episode of the Revenue Engine Podcast, Alex Gluz talks with Matt Overman, Chief Revenue Officer at Identity Digital, about the changing role of domain names in digital identity. Matt explains the rise of .ai, the shift toward meaningful extensions, and the use of domains as trust anchors for AI agents. He also discusses embedded partnerships, personal branding, and long-term value creation.

Amanda Dyson is the Chief Marketing Officer at DemandTec, a Commercial Trade Intelligence platform connecting retailers and CPG partners through one shared system. With more than 20 years of B2B software marketing experience, she specializes in enterprise technology, supply chain, pipeline generation, and go-to-market strategy. She leads DemandTec's marketing organization and shapes how the market understands its retail trade intelligence platform. Before joining DemandTec, Amanda held marketing leadership roles at FourKites, Blue Yonder, and e2open.

B2B buyers are surrounded by polished content and increasingly similar brand voices. As AI makes publishing easier, how can a brand remain recognizable and trustworthy?

Amanda Dyson, an enterprise B2B SaaS marketing leader with deep experience in pipeline generation, says the answer is an authentic voice supported by a clear point of view. Instead of using AI to manufacture finished thought leadership, she recommends using it for ideation, then bringing people back in to add judgment, originality, and trust. Amanda encourages marketers to focus on the audiences they can serve best, take bolder positions, and connect creative work to measurable business outcomes. Together, these practices give buyers something specific to believe in rather than simply more content to consume.

In this episode of the Revenue Engine Podcast, Alex Gluz talks with Amanda Dyson, Chief Marketing Officer at DemandTec, about how B2B brands can stand out in a crowded market. Amanda explains how to build a distinct point of view, use AI without losing originality, and connect marketing to pipeline. She also touches on event strategy, buying committees, and customer advocacy.