AI for Businesses Coaches, Events, and Resources

After helping multiple businesses across various niches implement AI—and growing my LinkedIn audience from 0 to 2.5k followers in just five months, I’ve developed a strong reputation for driving effective AI adoption within organizations. My approach is grounded in extensive research, hands-on development, and real client results. My entire approach is built on one core belief: simplicity is key. There is just so much hype right now, and I see so many businesses that have no clue where to even start with AI. They're being told it can run their entire sales team, but that's just not realistic. My theory is that the best results come from finding the "gold dust" solutions—the simple, practical implementations that provide a huge, immediate return on investment. My experience has shown me that AI can't fix a messy or chaotic business; it can only supercharge an organized one. My whole theory is about building a stable foundation. Instead of chasing a "magic bullet" that runs your whole company, I believe in starting with simple, smart solutions that provide immediate value. The real, big-picture win isn't just about cutting costs. It's about augmenting your team, freeing them from manual work so they can focus on the human-led, revenue-generating opportunities that truly grow your business.

With over two decades of experience in strategic growth and innovation, I specialize in leveraging AI to transform businesses. As the Incubator Director at the University of Southern California, I founded a highly-competitive startup accelerator, guiding over 250 companies across diverse industries like AI, SaaS, and healthtech to raise $350M+ and achieve significant market success. My role as a founder of multiple accelerator programs, including Hong Kong’s first funded startup accelerator, has equipped me with the skills to help businesses understand and improve their unit economics and market entry strategies. I also bring a wealth of knowledge from my time as a Senior Management Consultant at BearingPoint, where I advised Fortune 100 companies on tech strategy.

Experience from: Sony PlayStation, MasterClass, Decathlon, River Island. Coachees supported from: Google, Netflix, Walmart, Target, Paramount, Nvidia, Oracle, Salesforce, Spectrum, TikTok, Starbucks, Atlassian, Albertsons, Buzfeed, EssenceMediacom and many more. With over 14 years at the intersection of marketing and emerging tech, I have been leading automation-first strategies that blend process systematization, decision intelligence, and predictive modeling to drive sustainable revenue and operational excellence across 45 markets. As an thought leader, C-suite advisor, and hands-on operator, I have initiated AI capabilities in Marketing and at Business level while ensuring responsible, scalable, and high-impact financial outcomes that turn complexity into competitive advantage. - 14+ years ago, I delivered significant growth for major UK retailers like Currys PCWorld and House of Fraser while working for this fast-paced Marketing automation and Feed Management solutions agency driving cross-channel marketing strategy and campaign optimization. - At Sony, expanded automation frameworks and initiated AI projects to optimize operations, reduce blockers, and scale creative production and translation. Led a Future of Work SVP/VP Advisory Council of 9, developing solutions to improve workforce Productivity and driving Business wide adoption. - For Decathlon, maintained profitability while driving double digit revenue growth for the largest ecommerce Sports retailer in the World. Developed their custom attribution model and positioned UK as one of the top 5 marketing innovation leaders, becoming an International Advisor. I architect enterprise-grade automation strategies that fuse marketing performance with tech precision - enabling Fortune 500s and startups to unlock scalable growth, streamline GTM execution, and maximize ROI with consistent financial forecasting (3% deviation). My approach transforms automation from a siloed initiative into a revenue-generating operating system, aligning predictive insights with executive decision-making and enterprise-wide impact. I empower executive teams to operationalize AI at scale - integrating automation, predictive forecasting, personalization and custom solutions to accelerate growth, reduce automation inefficiencies, and future-proof global strategies. From C-suite advisory to hands-on GTM execution, I deliver revenue impact through tailored technology roadmaps, tool adoption across 200+ stakeholders in only 6 months, and cross-functional alignment.

Welcome to my profile! With a Ph.D. from Northwestern University, I have dedicated my career to applying AI in innovative ways, from scientific research to business applications. As the CEO of Learning Journey AI Inc, I specialize in making AI literacy accessible through practical, project-based learning. My experience includes leading AI initiatives at the National Science Foundation and providing strategic guidance on AI systems for the Department of Defense. Whether you're looking to integrate AI into your business or enhance your team's AI skills, I'm here to help you navigate the complexities of AI with confidence. Let's connect and explore how we can leverage AI to drive your business forward!

Hey! I’m Michael, a Forbes 30 Under 30 founder and operator with experience building and scaling businesses at meaningful scale. I’m the Co-Founder and CEO of Famous Media Group, which includes AsianFeed, a digital media brand reaching over 25 million people monthly, as well as multiple consumer brands. My work has included partnerships with organizations like Netflix, Disney, the White House, and the U.S. State Department, and has been recognized by Forbes 30 Under 30 and Fast Company’s World Changing Ideas. As the business scaled, I had to transform my own organization to become AI-forward in order to stay competitive. That meant moving beyond experimentation and into real adoption. I’ve led the process of defining AI strategy tied to business outcomes, redesigning workflows, introducing AI tools across teams, and driving internal adoption in a way that actually improved speed, efficiency, and decision-making. The focus has always been practical impact, not hype or abstract innovation. I work with founders, operators, and business leaders who know AI is no longer optional but are unsure how to approach it strategically. Some are trying to identify where AI can create real leverage. Others are struggling with adoption, change management, or translating tools into measurable results. My approach is execution-driven and grounded in lived experience, focusing on how to integrate AI into existing operations in a way that sticks. If you’re looking to build a clear AI strategy and drive real adoption across your organization, I’d love to help you think through what makes sense for your business and how to move forward with confidence.

My perspective on AI in business is shaped by operating responsibility, not experimentation. I’ve worked with AI from multiple vantage points: as a C-level leader accountable for enterprise outcomes, as the executive owner of IT and information security, and as an advisor to companies building AI-native products for business use. As a C-suite operator, I’ve been responsible for decisions about technology adoption inside complex organizations—where questions of productivity, risk, security, privacy, integration, and change management all converge. I understand how AI tools affect not just efficiency, but trust, governance, and execution, because I’ve owned those tradeoffs directly. I’ve also applied AI inside people and operating functions, particularly across HR, talent, analytics, and employee experience. That work required balancing the promise of automation and insight with the realities of adoption, workforce impact, and ethical use. I’ve seen where AI meaningfully improves how work gets done—and where it creates friction when introduced without the right structure or context. In parallel, I currently advise companies operating in the AI space, giving me visibility into how tools are designed, positioned, and sold, as well as how they actually land inside real businesses. That dual view—builder and buyer, vendor and operator—allows me to help leaders cut through noise and make grounded decisions about where AI fits into their strategy and operating model. Clients work with me in this category when they want help making AI practical, responsible, and useful to the business. I bring an enterprise-grade lens to AI adoption, grounded in security, systems thinking, and organizational reality, and I help leaders make decisions that hold up across technology, people, and risk—not just in pilots, but at scale.

I'm uniquely positioned to help businesses navigate AI adoption because I've spent the past two years researching exactly how organizations fail—and succeed—at integrating these tools. In my research on technology adoption patterns, I've analyzed case studies of companies implementing AI systems, interviewed teams about their actual workflows with language models, and documented the gap between how leaders think AI will be used versus how employees actually use it day-to-day. One pattern I've observed repeatedly: organizations that rush to deploy AI without understanding their team's existing decision-making processes end up with expensive tools that sit unused. The successful implementations I've studied all share something in common—they started by mapping human workflows first, then identified specific friction points where AI could genuinely help. As a Claude Campus Ambassador at Anthropic, I work directly with users across different industries to understand their adoption challenges. I've seen a finance team struggle to trust AI-generated analysis until they built verification protocols. I've watched a marketing agency transform their content workflow by strategically integrating AI at three specific touchpoints—not everywhere. These real-world observations inform how I coach: I help you identify where AI creates genuine value versus where it's just noise. My background as Research Manager at the Columbia AI Alignment Club also means I bring a critical perspective on AI safety and responsible deployment—essential for businesses that want to move fast without creating risk. And my experience as a UX Researcher taught me how to translate what I observe in user behavior into concrete strategic recommendations that non-technical stakeholders can actually act on. What makes my coaching different: I don't sell AI hype. I help you figure out where in your operations AI makes sense, how to get your team actually using it, and what pitfalls to avoid based on patterns I've seen across dozens of real implementations. Let's discuss what AI adoption could actually look like for your business—grounded in evidence, not buzzwords.

I like working with people to solve complex challenges. For many organizations, that means making AI practical, efficient, and aligned with real business goals. I earned my Bachelor of Science from Stanford University in Science, Technology, and Society, focusing on Innovation and Organization, which shaped how I see AI as both a cultural and organizational challenge. At Fabletics, I learned the business inside and out before becoming AI Program Director, where I now lead company-wide adoption efforts. Previously at Yardzen, I led sales and customer strategy as the company scaled and launched its premium service, one of its most comprehensive offerings still active today. I’m driven by curiosity, collaboration, and the challenge of turning ideas into systems that move organizations forward.

I’m an AI Product Manager at Asana with a background spanning edtech startups and leading product initiatives at big tech companies. Today, I focus on building and scaling GenAI products, with deep expertise in AI agents and automation. My work is highly hands-on, from designing AI agent workflows to evaluating and deploying AI tools and apply the right AI solutions to improve efficiency, scalability, and decision-making. If you’re looking to operationalize AI, making money by AI and unlock more time for strategic priorities, I’d be happy to connect.

With over 30 years of experience in the data industry—13 of those focused on data science—I’ve had an incredible journey through roles like Data Scientist, Senior Data Scientist, Head of Data Science, and now Chief AI and Data Officer. Along the way, I’ve overseen major data initiatives, built high-performing teams, and developed a deep understanding of what it takes to succeed in this field. For the past 15 years, I’ve been passionate about coaching in data science and artificial intelligence. I’ve helped professionals land their first internships, secure their dream jobs, and grow into leadership roles. I’ve reviewed thousands of resumes, interviewed hundreds of candidates, and learned exactly what stands out in a competitive market. What I truly enjoy is helping data scientists and managers take that next big step in their careers. Whether you’re just starting out or looking to climb higher, I’m here to guide you, share practical advice, and help you unlock your potential in the ever-evolving world of data science. Let's connect and see how I can help you!