Humans of Martech Podcast Por Phil Gamache arte de portada

Humans of Martech

Humans of Martech

De: Phil Gamache
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Future-proofing the humans behind the tech. Follow Phil Gamache and Darrell Alfonso on their mission to help future-proof the humans behind the tech and have successful careers in the constantly expanding universe of martech.©2025 Humans of Martech Inc. Economía Exito Profesional Marketing Marketing y Ventas
Episodios
  • 198: Pam Boiros: 10 Ways to support women and build more inclusive AI
    Dec 2 2025
    What’s up everyone, today we have the pleasure of sitting down with Pam Boiros, Fractional CMO and Marketing advisor, and Co-Founder Women Applying AI.(00:00) - Intro (01:13) - In This Episode (03:49) - How To Audit Data Fingerprints For AI Bias In Marketing (07:39) - Why Emotional Intelligence Improves AI Prompting Quality (10:14) - Why So Many Women Hesitate (15:40) - Why Collaborative AI Practice Builds Confidence In Marketing Ops Teams (18:31) - How to Go From AI Curious to AI Confident (24:32) - Joining The 'Women Applying AI' Community (27:18) - Other Ways to Support Women in AI (28:06) - Role Models and Visibility (32:55) - Leadership’s Role in Inclusion (35:57) - Mentorship for the AI Era (38:15) - Why Story Driven Communities Strengthen AI Adoption for Women (42:17) - AI’s Role in Women’s Worklife Harmony (45:22) - Why Personal History Strengthens Creative LeadershipSummary: Pam delivers a clear, grounded look at how women learn and lead with AI, moving from biased datasets to late-night practice sessions inside Women Applying AI. She brings sharp examples from real teams, highlights the quiet builders shaping change, and roots her perspective in the resilience she learned from the women in her own family. If you want a straightforward view of what practical, human-centered AI adoption actually looks like, this episode is worth your time.About PamPam Boiros is a consultant who helps marketing teams find direction and build plans that feel doable. She leads Marketing AI Jump Start and works as a fractional CMO for clients like Reclaim Health, giving teams practical ways to bring AI into their day-to-day work. She’s also a founding member of Women Applying AI, a new community that launched in Sep 2025 that creates a supportive space for women to learn AI together and grow their confidence in the field.Earlier in her career, Pam spent 12 years at a fast-growing startup that Skillsoft later acquired, then stepped into senior marketing and product leadership there for another three and a half years. That blend of startup pace and enterprise structure shapes how she guides her clients today.How To Audit Data Fingerprints For AI Bias In MarketingAI bias spreads quietly in marketing systems, and Pam treats it as a pattern problem rather than a mistake problem. She explains that models repeat whatever they have inherited from the data, and that repetition creates signals that look normal on the surface. Many teams read those signals as truth because the outputs feel familiar. Pam has watched marketing groups make confident decisions on top of datasets they never examined, and she believes this is how invisible bias gains momentum long before anyone sees the consequences.Pam describes every dataset as carrying a fingerprint. She studies that fingerprint by zooming into the structure, the gaps, and the repetition. She looks for missing groups, inflated representation, and subtle distortions baked into the source. She builds this into her workflow because she has seen how quickly a model amplifies the same dominant voices that shaped the data. She brings up real scenarios from her own career where women were labeled as edge cases in models even though they represented half the customer base. These patterns shape everything from product recommendations to retention scores, and she believes many teams never notice because the numbers look clean and objective."Every dataset has a fingerprint. You cannot see it at first glance, but it becomes obvious once you look for who is overrepresented, who is underrepresented, or who is misrepresented."Pam organizes her process into three cycles that marketers can use immediately.The habit works because it forces scrutiny at every stage, not just at kickoff.Before building, trace the data source, the people represented, and the people missing.While building, stress test the system across groups that usually sit at the margins.After launch, monitor outputs with the same rhythm you use for performance analysis.She treats these cycles as an operational discipline. She compares the scale of bias to a compounding effect, since one flawed assumption can multiply into hundreds of outputs within hours. She has seen pressure to ship faster push teams into trusting defaults, which creates the illusion of objectivity even when the system leans heavily toward one group’s behavior. She wants marketers to recognize that AI audits function like quality control, and she encourages them to build review rituals that continue as the model learns. She believes this daily maintenance protects teams from subtle drift where the model gradually leans toward the patterns it already prefers.Pam views long term monitoring as the part that matters most. She knows how fast AI systems evolve once real customers interact with them. Bias shifts as new data enters the mix. Entire segments disappear because the model interprets their silence as disengagement. Other segments dominate because ...
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    49 m
  • 197: Anna Leary: The Art of saying no and other mental health strategies in marketing ops
    Nov 25 2025
    What’s up everyone, today we have the pleasure of sitting down with Anna Leary, Director of Marketing Operations at Alma.(00:00) - Intro (01:15) - In This Episode (04:38) - How to Prevent Burnout (05:46) - What Companies Can Do Better (07:50) - Agility of Planning (08:53) - Why Saying No Strengthens Marketing Operations (13:48) - How to Decide When to Push Back (18:03) - Hill To Die On (20:03) - How to Handle Constant Pushback (29:55) - Wishlist (37:06) - How to Use Asynchronous Communication to Reduce Stress (44:24) - How To Evaluate Martech Tools Based On Real Business Impact (48:45) - Why Marketing Ops Needs Visible Work Systems (51:24) - Health Awareness (52:56) - How to Recognize and Prevent Burnout in Marketing OperationsSummary: Anna built systems to keep marketing running smoothly, but the real lesson came when those same systems failed to protect her. In this episode, she shares how saying no became her survival skill, why visibility is the antidote to burnout, and how calm structure (not constant hustle) keeps teams sharp and human. It’s a story about boundaries, balance, and learning to lead without losing yourself.About AlmaAnna Leary is the Director of Marketing Operations at Alma, where she builds scalable systems that help marketing teams work smarter. With a focus on lead flow, data architecture, and enablement, she’s known for creating centers of excellence that turn fragmented operations into cohesive, measurable programs. As a Marketo Certified Solutions Architect and Marketo Measure (Bizible) specialist, Anna brings a rare balance of technical depth and strategic clarity to every initiative she leads.Before joining Alma, Anna spent more than a decade shaping marketing operations strategies for brands like Uber, Teamwork, Sauce Labs, and Bitly. Whether optimizing attribution models or training teams to adopt new workflows, Anna’s work always centers on efficiency, empowerment, and driving impact across the full marketing ecosystem.Burnout and BalanceMarketing ops work demands constant precision. Teams juggle system integrations, data cleanups, and new tech rollouts, often all before lunch. The job requires mental endurance and a tolerance for chaos. Anna understands this well. “Everyone’s trying to be the person who knows the newest tech,” she said. “It’s hard to keep up, and that adds to the mental load.” The competition to stay relevant has turned into a quiet stress test that too many operators fail without noticing.The strange part is that ops teams often create systems designed to protect their organizations but rarely use those same systems to protect themselves. Anna explained how Service Level Agreements (SLAs) can lose their meaning when teams treat them as flexible. Urgent requests push through, exceptions pile up, and structure dissolves. Each “quick favor” chips away at the purpose of having defined processes. She put it plainly:“If we’re making an exception for everything, then we’re not respecting the process.”When teams stop respecting their own boundaries, burnout follows quickly. SLAs exist to create stability, and stability is what keeps people sane. Following process is not bureaucracy; it is protection. It gives operators time to think clearly, plan ahead, and make fewer reactive decisions. That way you can build predictability into your week instead of letting other people’s emergencies define it.Anna also shared how her team reworked its entire planning system to reduce stress. “We used to do quarterly capacity planning,” she said, “but half the projects fell apart by week four.” She scrapped the process and replaced it with smaller, rolling cycles that fit the unpredictable nature of marketing requests. For someone who identifies as Type A, letting go of that much structure felt risky, but the tradeoff was worth it. Her team now works with more energy, less anxiety, and a better sense of control.“Giving up some of that control is actually good in the end because it’s less stressful.”Her story shows how burnout prevention depends on structure that adapts. Ops professionals do their best work when their systems reflect real life, not an idealized version of it. Boundaries, planning, and discipline should support humans, not box them in.Key takeaway: Protect your team’s mental health by enforcing the systems you build. Treat SLAs as promises, not preferences. Review your planning cycles regularly and adjust them to match the actual pace of work. Stability in ops comes from building rules that people respect and structures that evolve as the business changes.The Power of NoSaying no is one of the hardest and most necessary skills in marketing operations. Every week brings a new request, a “quick fix,” or a last-minute idea that someone swears will only take five minutes. Anna treats these moments as boundary checks. They test whether her team can protect their focus without losing trust or influence across the ...
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    56 m
  • 196: Blair Bendel: The World of casino marketing and the tech that brings it to life
    Nov 18 2025
    What’s up everyone today we have the pleasure of chatting with Blair Bendel, Senior Vice President of Marketing at Foxwoods Resort Casino.(00:00) - Intro (00:49) - In This Episode (03:39) - Evolution of Casino Martech (06:11) - Customer Loyalty & Personalization (09:36) - Using the Right Marketing Channel for the Right Goal in Hospitality (12:38) - Foxwood’s Martech and Customer Data Migration to MoEngage (15:05) - Picking MoEngage (20:07) - Why Change Tools?? (22:46) - Implementing a New Platform (24:58) - Building Structure for 24/7/365 Casino Marketing (31:20) - Key Things to Track (33:15) - Fail Fast, Learn Faster (37:25) - Balancing Big Data with Privacy (40:23) - Why AI Will Not Fix Casino Marketing Overnight (43:23) - Exploring AI (46:59) - Human Experience Drives Long-Term Casino Revenue (49:05) - Human Side (52:12) - Why Face-to-Face Conversations Strengthen Marketing TeamsSummary: The casino floor never sleeps. Lights hum, cards shuffle, and people come not just to gamble but to feel alive. While other industries went digital overnight, casinos stayed grounded in human moments, and Blair’s mission has been to connect those experiences through smarter tech. At Foxwoods, he replaced a maze of disconnected martech with a single platform, giving his team one clear view of every guest. Push messages became quick nudges, emails carried depth, and silence built trust. In a business that runs 24/7/365, his team moves fast, learns constantly, and protects what matters most: guest privacy. About BlairBlair Bendel has spent nearly two decades shaping brands that make casinos feel alive. As SVP of Marketing at Foxwoods Resort Casino, one of the world’s largest gaming and entertainment destinations, he leads strategy across brand, digital, loyalty, and guest experience for a property owned by the Mashantucket Pequot Tribal Nation.Before Foxwoods, Blair drove marketing for Boyd Gaming and Pinnacle Entertainment, guiding multi-property teams through high-stakes launches and rebrands. Known for blending data and instinct, he’s built campaigns that turn foot traffic into fandom and moments into measurable growth.The Evolution of Casino MartechCasinos thrive on the energy of real people in real spaces. Blair has spent his career in that environment, where the hum of slot machines and the rhythm of foot traffic define success. He points out that while other industries rushed to digitize, gaming and hospitality focused on the on-property experience that drives most of their revenue. Technology in this world serves the guest standing in front of you, not a distant audience online.“There’s a lot of innovation, but it’s all centered around that customer and that on-property experience,” Blair said.Walk across a modern casino floor and you see how far that innovation has gone. Slot machines now reach twelve feet high, lit by curved screens that feel more like immersive art installations than games. Even bingo, once a paper-and-pen ritual, lives on tablets. These changes reflect more than aesthetic upgrades. They mark the blending of digital personalization with in-person entertainment. Each new machine and experience collects data, interprets patterns, and helps casinos understand what keeps players coming back.Blair sees the next phase of progress in the pairing of martech systems and artificial intelligence. Casinos have long collected data on player habits, but much of it stayed locked in isolated databases. AI now connects those dots, linking preferences, visit frequency, and loyalty activity into one living profile. That way you can predict what a guest wants before they ask for it. Personalized dining offers, targeted game promotions, or well-timed follow-up messages all become part of a continuous loop that strengthens engagement.Still, Blair focuses on the human side of this transformation. “People assume tech makes everything easier, and it doesn’t,” he said. Each new platform requires training, integration, and trust. Martech without people who know how to use it becomes clutter. Blair spends much of his time ensuring his team understands the technology deeply enough to keep the guest experience effortless. The strategy depends on teams who can think like data analysts and act like hosts.Key takeaway: Martech and AI can elevate on-property hospitality when used to deepen human connection instead of replacing it. Integrate systems that unify guest data, but prioritize training and comfort among your team. When your people trust the tools and your guests feel known, technology quietly fades into the background while loyalty takes center stage.Customer Loyalty and Personalization in Casino MarketingCasino marketing has operated on autopilot for too long. Guests still get dropped into massive segmentation buckets, treated as if their weekend habits, entertainment tastes, and spending patterns are interchangeable. Blair describes it bluntly: “We still send show offers to guests who’...
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    55 m
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