Expert Advice for Marketing Leaders on MarTech, AI, & CX
Insights, ideas, and best practices for marketers that utilize artificial intelligence in their marketing.
The question is no longer if we can use AI to create content, but rather how we can do so without inadvertently dissolving our brand identity into a generic, machine-written slurry. The promise of exponential content volume and velocity has brought with it a paradox: the more content we can create, the greater the risk of losing control over what that content actually says and, more importantly, how it says it.
In today’s ever-shifting marketing landscape, brands face the constant challenge of keeping pace with their customers’ evolving needs and preferences. The ability to adapt quickly, experiment, and personalize experiences is no longer a luxury, but a necessity for survival.
For years, the promise of one-to-one personalization at scale has been the holy grail of digital marketing. We, as leaders, have sat through countless presentations and read innumerable whitepapers on the subject. We’ve invested in platforms, hired data scientists, and run pilot programs. Yet, for many enterprise organizations, personalization has often remained a “sidecar”–an interesting set of experiments running parallel to the core business, but never fully integrated into the engine itself. The sheer volume of data, customer signals, and potential touchpoints made true, dynamic personalization at the scale of a global enterprise feel more like a theoretical ambition than an operational reality.
The current marketing landscape presents a paradox. While the transformative potential of AI has become increasingly evident, many marketers find themselves grappling with uncertainty, hesitant to fully embrace its power.
While generative AI has captured the imagination of marketers with its ability to create content, agentic AI represents a significant leap forward. This emerging technology moves beyond generating outputs and empowers marketers to automate actions, personalize experiences, and gain deeper insights from their data.
The marketing technology landscape continues to evolve at a rapid pace. Artificial intelligence is no longer a futuristic concept, but a tangible force reshaping how marketers operate, strategize, and connect with their audiences. While the allure of AI-driven efficiency is undeniable, its true potential lies in unlocking new avenues for growth and innovation.
The current buzz around AI has many enterprise marketing leaders scrambling to understand how to effectively leverage this technology. While text-based AI has seen significant adoption, the potential of multimodal AI—which incorporates visual and audio data—remains largely untapped.
Agentic AI helps brands anticipate needs, simplify journeys and blend human judgment with AI speed for faster, smarter customer experiences. This article was written by Greg Kihlström for MarTech.
The convergence of artificial intelligence (AI) and marketing has ignited a fervor, leaving many enterprise marketing leaders both intrigued and apprehensive. While the transformative potential of AI is undeniable, the current hype cycle necessitates a discerning approach.
The digital advertising landscape is in constant flux, a reality that keeps even the most seasoned marketing leaders on their toes. Predictive technologies abound, yet forecasting often feels more like guesswork. This volatility presents a unique challenge: How can CMOs and their teams effectively navigate this uncertainty and maximize Return on Investment (ROI) when the future seems so unpredictable?
