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Let’s meet ten marketing technology thought leaders whose ideas consistently show up in enterprise strategy decks, conference agendas, and analyst conversations. These include Scott Brinker, Greg Kihlström, David Raab, Theresa Regli, and more.
The decision of whether to build, buy, or license software has long been a challenge for enterprise marketing leaders. The rapid advancement of AI adoption has only intensified this dilemma, introducing new complexities and considerations. While cost and time remain important factors, AI brings with it a need to carefully evaluate data control, contextual relevance, and the ever-increasing pace of technological change.
This article was written by Greg Kihlström for CMSWire. Connected insights turn consumer understanding into faster cycle times, stronger ROI and lasting customer loyalty.
This article was written by Greg Kihlström for MarTech. Marketing
technology was already evolving at breakneck speed when generative AI
entered the scene. Now, agentic AI — AI that can operate independently,
execute multi-step tasks and continuously learn from interactions —
promises to accelerate that evolution even further.
This article was written by Greg Kihlström for CMSWire. More than half of companies admit legacy systems are causing churn. The solution starts with your tech stack.
Your website might technically be “up,” but if it’s slow, your customers have already moved on. And they didn’t leave feedback—they just left. According to Catchpoint’s 2025 SRE report, 53% of organizations now say poor performance is just as damaging as downtime for social media content. For digital-first brands, this is the new reality: delay equals decay.
This article was written by Greg Kihlström for MarTech. Marketing
operations (MOps) has evolved far beyond its early role of managing
spreadsheets, technical integrations and last-minute fire drills. As
enterprises double down on marketing technology, big data and artificial intelligence, MOps is now a strategic function of marketing.
In marketing technology, the integration of artificial intelligence (AI) is heralding a new era of efficiency and personalization. The traditional methods of integrating marketing tools often involve significant manual effort, requiring marketers to navigate complex systems, coordinate with developers, and anticipate customer behavior. However, the advent of AI agents is revolutionizing this process, allowing brands to automate tasks, enhance customer engagement, and make data-driven decisions in real time. Let’s explore how AI transforms the marketing integration process, paving the way for more agile, customer-focused, and sustainable brands.
The healthcare landscape is undergoing a significant transformation, driven by technological advancements and a growing emphasis on patient-centered care. One of the pivotal discussions in this evolution is the balance between hyper automation and maintaining the essential human touch in healthcare interactions.
The ability to derive insights from data quickly and effectively is paramount for marketers. The integration of advanced analytics with experimentation capabilities allows marketers to connect their initiatives to tangible business outcomes, thereby enhancing their overall effectiveness. This paradigm shift towards accelerated insights is reshaping the marketing landscape, enabling organizations to make informed decisions and develop innovative strategies.