In today’s #AI driven world, #data is everything. But as SnowflakeDB CEO sridhar points out, AI is only as good as the data it’s built on. Without unified, accessible data, AI will fall short. #DataReadiness is key to long-term AI success. forbes.com/sites/kolawole…

Lower-cost #AI models like DeepSeek are changing the game. As access expands, the real differentiator isn’t tech—it’s strategy. When anyone can use the tools, leaders must focus on purpose, impact, and building systems that truly scale. fastcompany.com/91316475/the-d…

#Data is the backbone of #AI success. Forrester shows the importance of a unified data strategy—it's not about collecting more data, but ensuring it’s accessible and aligned with business goals. Without that, even the best AI models won’t perform. forrester.com/blogs/data-in-…

Data isn’t power, understanding it is. As #AI reshapes the game, leaders need more than dashboards. They need #DataLiteracy. Those of us who can interpret, communicate, and act on it will be the ones building the future. zdnet.com/article/why-da…

We call them language models, but most #LLMs barely go beyond English. If we want AI to be truly global, we need better data, more linguistic inclusion, and tools that reflect the real world. #AI #ResponsibleAI

In the rush to adopt #AI, many overlook a key factor: data quality & governance. As Dave Wright of ServiceNow said, we're in a "data reckoning." Good data powers insights; bad data leads to bad decisions. Data integrity unlocks AI’s potential. cio.com/article/396715…

In tech, we challenge legacy systems to drive innovation. The same approach can transform #DEI. By redesigning traditional models and embedding equity across the system, we can scale lasting change. We can make DEI the infrastructure for real progress. hbr.org/2025/04/to-mak…

An insight from Shelly Palmer stuck with me: “If you can’t tell the difference, there is no difference.” As #AI blurs the lines in #advertising, maybe it’s time we focus less on the origin of content and more on its impact. Great content drives results, human or AI.

Not every problem needs an #LLM. The smartest #AI solutions start with the data. Ask what’s coming in, what needs to come out, and whether it’s truly complex. Sometimes a simple model or rules engine gets it done faster, cheaper, and just as smart. venturebeat.com/ai/not-everyth…

#AI is transforming how we create in #advertising, but let’s not forget why we create. The future isn’t AI vs. human. It’s tech + creativity, working together to craft experiences that connect. That’s where the magic is. #Marketing #AdTech technologyreview.com/2025/04/23/111…

#Personalization isn’t just about clicks, it’s about connection. With #AI, we have the chance to meet customers with relevance, respect, and value. When done right, it’s not invasive, it’s inspiring. It builds trust and lasting loyalty. Insights via Inc. inc.com/arthur-fleisch…

Data is everywhere, but meaning isn't.​ When data work feels disconnected, engagement suffers.​ Leaders must bridge the gap between numbers and purpose.​ How are you making data work meaningful for your team?​ More insights via MIT Sloan School of Management sloanreview.mit.edu/article/how-to…

#DataQuality is the key to #AI success. Too many teams are still building on shaky data, leading to bad decisions & lost trust. In marketing, every dollar spent is only as good as the data behind it. Treat data like a strategic asset, not an afterthought. sloanreview.mit.edu/article/how-to…

Still seeing brands rely on synthetic data to claim they're “not targeting.” But here’s the truth: you can't replace real human behavior with machine-generated proxies. Emotion, context, experience—they don’t show up in synthetic data. research-live.com/article/news/s…

We talk a lot about how AI is transforming work. But maybe the real shift is redesigning work for AI. It’s not just about tools, it’s about new workflows, new roles, and new ways of creating value. #AIProductivity #FutureOfWork #Leadership sloanreview.mit.edu/article/want-a…

No surprise, #marketing budgets are tight. Only 30% of CMOs feel they have the funds to execute their strategies. But doing more with less doesn't mean delivering less value. #AI and other tech are helping orgs squeeze the most out of their budgets. adweek.com/brand-marketin…

“Up 1000% YoY" sounds big, but referrals from #ChatGPT are still a drop in the bucket for publishers. And with Google’s AI Overviews eating search traffic, ChatGPT has yet to own the market. digiday.com/media/chatgpt-…

Real #AI impact starts with the right fuel: better #data, not just more. #Loyalty data stands out—89% join for personalized offers. Loyalty programs capture rich signals: repeat purchases, reward redemptions, app usage. Train AI on that, and it doesn’t just optimize, it connects.

We talk a lot about #innovation—but not enough about serendipity. Some of the best ideas come from surprises, not strategy. I try to celebrate curiosity, design for connection, and back small bets. It's the best way to make space for the next aha moment. hbr.org/2025/05/to-dri…

In uncertain times, your team takes cues from you. I like this easy framework from @Forrester for leading (and staying grounded) when things get messy. One to keep close. 🔗 forrester.com/blogs/lead-you… #Leadership #SelfLeadership #Strategy #ChangeManagement