Artificial intelligence (AI) has officially graduated to become a full-blown business powerhouse.
Industry leaders like Maggie Sin, are turning AI into a competitive advantage.
As Co-founder of MyCompanions.AI and Senior Product & Web Analytics Lead at Adobe, Maggie is combining data and creativity to unlock growth for businesses and creators alike.
Whether it’s using AI to scale creator monetization or crunching massive datasets to optimize enterprise strategies, Maggie is proof that AI isn’t just a tool—it’s a superpower.
And according to McKinsey, generative AI alone could add up to $4.4 trillion in global corporate profits annually.
Not too shabby, right?
Why AI Personalization is the MVP of Revenue Growth
Maggie isn’t just riding the AI wave; she’s surfing on top of it, especially when it comes to personalization.
AI-driven personalization is no longer optional—it’s essential.
McKinsey reports that businesses embracing personalization see revenue growth of 10–15% on average.
The secret sauce? Data, and lots of it.
“We built a propensity model that predicts what users are interested in and their willingness to pay,” Maggie shared.
Translation: creators get insights, fans get what they love, and everyone wins.
For creators, businesses, and customers alike, this level of personalization turns passive experiences into meaningful engagements.
Big Data and Small Teams
Maggie’s approach to data strategy highlights one undeniable truth: size matters.
Big corporations like Adobe juggle oceans of data with tools like Hadoop and Databricks, while startups like MyCompanions.AI operate on leaner, more agile setups using PostgreSQL.
“In smaller companies, everyone knows how to query and do ad hoc analysis, which enables faster insights,” Maggie explained.
Her advice?
Choose tools and workflows that match your team’s size and agility—because trying to row a cruise ship with startup paddles won’t get you far.
AI Tools of the Trade
From dashboard wizards to predictive geniuses, Maggie swears by tools that save time and headaches. Her favorites include:
- KNIME: A lifesaver for building dashboards without needing a Ph.D. in data science.
- Tableau’s AI Add-Ons: Expensive but worth it for enterprise-level insights.
- Cursor AI: Perfect for learning to code with AI’s gentle guidance.
“KNIME helped us build dashboards in less than a day,” Maggie said.
Meanwhile, most of us are still figuring out Excel formulas.
AI Solving the World’s Big Problems
Maggie isn’t just focused on boosting profits—she’s passionate about using AI for good.
Inspired by thought leaders like Sam Altman and Sundar Pichai, she envisions AI tackling global challenges, from medical breakthroughs to smarter resource allocation.
“What if AI can solve problems humans cannot? That’s the kind of future I want to be part of,” Maggie explained.
Stats That Prove AI’s Worth
- Generative AI Potential: Adds $2.6–$4.4 trillion to global corporate profits.
- Revenue Growth from Personalization: 10–15% on average for businesses that get it right.
- Data Accuracy Matters: 47% of business leaders cite this as the biggest challenge in AI implementation.
Takeaways and Final Thoughts
- Embrace Personalization: Tailored experiences are no longer a luxury—they’re the baseline for engagement and growth.
- Right-Size Your Data Strategy: Match your tools and processes to your team’s size and goals.
- Think Beyond the Numbers: Use AI to solve not just business challenges, but societal ones, too.
Ready to dive deeper? Check out the full episode of The Inside Scoop to hear Maggie Sin’s full story, actionable strategies, and predictions for the future of AI. Don’t miss it!