Buffer has long been recognized as one of the more transparent and people-first companies in the tech industry, known for its four-day work week and fully public salary formula. The Martechify team sat down with Hailley Griffis, Director of Communications and Content at Buffer, to talk about the company’s culture, the hidden engineering work behind social media scheduling, and what actually drives consistent growth on social platforms.
When Verizon Business Group won Forrester’s B2B Program of the Year Award for its Customer Experience Index, or CXI, the recognition validated something the team had suspected for a while: Predicting customer behavior is not the same as understanding the customer. To learn how the program came together, and what other marketers can take from it, the Martechify team spoke with Kothai Sriramachandran, Senior Director of Business Intelligence, and Natalie Sartain, Director of Business Intelligence, both at Verizon Business Group.
Kothai leads the team that built CXI from the ground up, a group that now runs a variety of AI and machine learning propensity models focused on growth, retention, and customer experience. Natalie leads strategy for the customer experience and revenue operations organization, working closely with frontline teams to put those models into practice. Together, Kothai and Natalie offered a candid look at what it actually takes to move from fragmented data to a unified customer strategy, and it wasn’t the modeling.
Marketing has always required a balance of creativity, analysis, customer empathy, and business discipline. For Jaynie Miller, Worldwide Product Marketing Lead at HP, that blend has shaped a career that started with journalism and advertising, evolved through product and channel marketing at Microsoft, and ultimately led her to HP.
In graduate school, Jaynie studied the business model behind one of HP’s core businesses through a Harvard Business Review case study. Years later, that academic lens came full circle when she joined the company and went on to build a 12-year career there. Today, she focuses on collaboration solutions, software, services, and the future of workforce experience. “I found that I really like the blend of analytical and strategic thinking with creativity that comes with being in marketing,” Jaynie said.
That combination has become increasingly important as marketing teams are asked to explain complex technology in ways that connect to real customer pain points. In Jaynie’s current role, those pain points often live inside a space most employees know well: the meeting room.
When Joel Polanco, Senior Hardware Product Manager in the Data Center & AI Computing Group at Intel, began his career, manufacturing was not considered the most desirable path in technology.
After completing his undergraduate and graduate studies at Arizona State University, Joel had already finished three internships, including one at Intel in Chandler, Arizona. That experience gave him an early look at tech manufacturing and helped shape a career decision that, two decades later, feels especially relevant.
At the time, Joel said, manufacturing was not seen as desirable as software, but that was exactly what drew him to Intel. “I wanted the opportunity to be in manufacturing because I thought it might be going away,” he said.
Now, the opposite is happening. Manufacturing is returning to the United States, semiconductor demand is surging, and Intel is positioning itself at the center of one of the most important technology transformations in decades. “What’s amazing here, twenty years later, is the manufacturing’s coming back and so is Intel,” Joel said, calling this “one of the most exciting points in my career.”
As AI tools become more accessible, the risks facing digital platforms are growing just as quickly. Impersonation, phishing, synthetic identities, harmful content, and nonconsensual imagery are no longer edge cases. They are becoming everyday trust and safety challenges for social platforms, marketplaces, and AI-driven products alike.
In a recent Martechify conversation, Glen Wise, Co-Founder & CEO of Cinder, and Alexandra Ryabova, Head of Operations at Wizz App, shared how platforms are responding to this new era of online abuse. Their discussion made one point especially clear: Companies cannot afford to treat safety as an afterthought.
As social platforms fill with AI-generated content, algorithmic feeds, and polished creator posts, BeReal sees an opening. Ben Moore, US Managing Director at BeReal, said the app’s core promise of authenticity is resonating again, especially with Gen Z users looking for a more human way to connect online.
In a recent conversation with Martechify, Ben described BeReal as a platform built around a simple idea: Social media should help people stay in touch, not trap them in endless scrolling.
“We don’t want people to spend too much time on BeReal,” Ben said. “We want them to be able to share their moments, check in on their friends and family, and go back to their real lives as well.”
That philosophy stands in sharp contrast to the engagement-first model that shapes much of modern social media. While major platforms often optimize for time spent and ad impressions, BeReal focuses on brief, intentional participation. Its signature once-a-day notification prompts users to capture an unfiltered moment using both the front and back cameras on their phones, showing both what they’re doing and what they look like in that moment.
For Ben, that format remains central to the platform’s identity because it encourages authenticity in a digital environment increasingly crowded with bots, filters, and synthetic content. “People can see what you see, but also people can see your face while you’re capturing this real moment,” he said.
AI may be changing how marketing gets done, but the fundamentals have not changed. That’s according to Cara Cross, a Google AI-certified product and brand marketing strategist with more than 15 years of experience across SaaS, CPG, healthcare, higher education, and nonprofit industries. In her view, marketers still need strong strategy, clear audience understanding, clean data, and human judgment.
In a recent conversation with Martechify, Cara described AI workflows not as shortcuts, but as systems that can help teams scale quality work when they are built on the right foundation. She also explained why segmentation still matters, why regulated industries need tighter guardrails, and why chasing every trend is a mistake.
Her central message was simple: AI can make marketing more effective, but only if marketers use it with discipline.
We are entering a new reality, one where AI agents are no longer just assisting humans, but negotiating directly with each other on our behalf. Customer service bots are disputing claims, escalating complaints, denying refunds, and enforcing policies autonomously, often without meaningful human oversight. AI avatars and digital clones are interviewing candidates, looping, glitching, and freezing in the middle of conversations.
What looked like a dystopian sci-fi movie just two or three decades ago has now become our reality. The problem is that AI agents still lack human judgment and the ability to read between the lines. They can process enormous amounts of data, follow rules, and optimize for efficiency, but they often struggle with nuance, context, emotion, sarcasm, urgency, and ethical gray areas that humans navigate instinctively every day.
As more AI agents begin interacting directly with other AI systems, these gaps become even more dangerous. Two bots can reinforce each other’s rigid logic, intensify conflicts, or create deadlocks without anyone realizing the situation is spiraling.
As AI agents become more common in marketing operations, the biggest opportunity may not be automation alone. It may be governance.
In a recent conversation with Martechify, AJ Navarro, marketing operations manager at Sprout Social, argued that the next major shift in martech will not simply come from faster AI tools or smarter workflows. Instead, the real differentiator will be how well teams build guardrails, document rules, and train AI systems using structured instructions such as Markdown files.
Artificial intelligence is rapidly reshaping how brands understand customers, personalize experiences, and make decisions. The Martechify team sat down with Lokesh Alluri, Senior Manager of Digital and Customer Analytics at Lenovo, to discuss the evolving role of analytics, the future of customer journeys, and why human judgment may become even more valuable in an AI-driven world.
