Vanity Metrics
Our AI system handled 10,000 tasks last month!" Sounds impressive. But how many of those tasks would've required a human? What's your cost per task now versus before AI? Avoid getting lost in numbers that don't matter.
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We answer questions for a living—and welcome yours. Whether you’re exploring technology’s role in your growth, accelerating a stalled initiative, or seeking strategic guidance, let’s talk.
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Job Openings
3+ Years Experience
The Data Science Expert turns complex data into clear insights, predictive models, and practical recommendations that drive smarter business decisions. This role uses analytics, machine learning, statistical methods, and data storytelling to uncover opportunities, solve problems, and measure performance.
4-5 Years Experience
The Front-End Designer creates polished, intuitive, and engaging digital experiences that unite strategy, brand, and functionality. This role focuses on user interface design, responsive layouts, visual systems, and front-end implementation to make products easy to use and visually compelling.
4+ Years Experience
The AI/ML DevOps Engineer builds, deploys, and maintains the infrastructure supporting AI and machine learning systems. This role ensures models, data pipelines, automation workflows, and cloud environments are scalable, secure, reliable, and ready for production.
Media Inquires
For speaking opportunities, podcast appearances, interviews, articles, conferences, sponsorships, trade shows, and media collaborations, we welcome conversations that explore the future of technology, AI, digital strategy, innovation, and business transformation. A Mammoth team member is available to contribute expert insight, thought leadership, and practical perspective on how organizations can turn emerging technology into measurable value.
Latest Insights
Honest, experience-driven perspectives on emerging technology. Curated for executives who want signal, not noise.
The Collaboration Bottleneck
“Interaction Models: A Scalable Approach to Human-AI Collaboration” reframes AI from tool to teammate. The future isn’t just smarter models, but better interaction patterns that scale trust, context, and decision-making between humans and AI.
AI Is Not Creative
A fascinating question: can AI be truly creative without some form of feeling or subjective experience? The future debate around AI may become as philosophical and ethical as it is technical.
In-House AI Teams
Should we build an internal AI team or work with vendors?" This is one of the most common questions I get from CEOs and CFOs evaluating AI investments. The answer isn't always "build" or "buy"—it depends on where AI fits in your competitive advantage.
Frontier AI For Cyber Defenders
OpenAI Daybreak feels like a glimpse into how AI can become more proactive, contextual, and deeply integrated into everyday work. The shift is no longer just smarter models—it’s AI evolving into a true operating layer for productivity.
Hackers Used AI
Google’s report that hackers used AI to uncover a major software flaw is a wake-up call. AI is accelerating both defense and offense, forcing cybersecurity into a new era where speed, automation, and adaptability matter more than ever.
Change Management
Your AI system works perfectly. Nobody's using it. This is the most common failure mode I see in enterprise AI implementations—and it's never a technology problem. Change management is 70%. What actually works to drive adoption.
AI Governance
White House discussions around vetting AI models before release highlight how quickly AI is moving into regulated territory. My Harvard Business School class on model governance foresaw this shift from optional best practice to potential pre-deployment requirement.
Moving Past The Chatbot
Image AI models are now outperforming chatbot upgrades in driving app growth. Visual generation is becoming the real engagement engine—more intuitive, more viral, more sticky than text-only AI. We’re shifting from talking to creating.