Missed our interview with $MRT Co-Founder & President Cankut Durgun? We discussed Marti's accelerating growth, improving profitability, $5M share repurchase program, and its long-term vision of becoming Türkiye's leading mobility super app. Watch the full interview now on YouTube! youtube.com/watch?v=QtU8zwkY…

🔎 Industry Spotlight | The Next Frontier of Enterprise AI The $5.66 billion acquisition agreement between $CRM and $BRZE may signal something much bigger than consolidation in marketing technology. It highlights the strategic value of the enterprise AI application layer, where proprietary data, intelligent decision-making, and automated execution converge. As foundation models become increasingly accessible, competitive differentiation may shift toward the platforms that make AI operationally useful and economically productive. Consider the emerging ecosystem: • $PLTR: Enterprise ontology, governed data, and AI-powered operational decision-making. • $ZETA: AI-driven customer intelligence, identity resolution, and marketing activation. • $BRZE: Real-time customer engagement, personalization, and automated decisioning. • $KVYO: First-party customer data, predictive analytics, and commerce automation. • $CRM: Enterprise customer systems, data infrastructure, and agentic AI workflows. • $HUBS: Customer acquisition, CRM, and AI-enabled revenue operations. One particularly interesting development is the strategic partnership between $PLTR and $ZETA. The companies are integrating Zeta's Data Cloud with Palantir Foundry, connecting operational intelligence with customer intelligence and AI-powered marketing execution. Zeta management believes this partnership could generate more than $100 million in annual revenue in the coming years, although that remains a forward-looking expectation. The broader investment thesis is the convergence of systems of record, systems of intelligence, and systems of action. Enterprises don't simply need AI models that generate answers. They need platforms capable of securely accessing proprietary information, interpreting customer behavior, executing workflows, and delivering measurable financial outcomes. The CRM–BRZE transaction provides another indication of how strategically important these capabilities are becoming. For investors, the next question is which companies possess the proprietary data, distribution, switching costs, and operating leverage necessary to capture a disproportionate share of enterprise AI spending. The next phase of AI monetization may be defined less by who builds the models and more by who turns intelligence into economic value.

🔔 Earnings after the bell | What Wall Street Is Watching A major earnings session ahead, with $TSLA, $META, $IBM, $LRCX, $TXN and several others reporting. Here's what matters beyond the headline EPS numbers: • $TSLA: Automotive margins, energy storage growth, Robotaxi and Optimus execution. • $META: AI capital expenditures, advertising growth, and Muse updates. • $IBM: Enterprise AI adoption, software growth, and consulting demand. • $LRCX: Semiconductor equipment spending, memory investment, and AI-driven demand. • $TXN: Analog chip demand, industrial recovery, and inventory normalization. The bigger question isn't simply who beats earnings expectations. It's whether forward guidance and underlying fundamentals can justify valuations and support the next leg of the market. Which earnings report are you watching most closely tonight?

Missed our interview with @SenesTech CEO Michael Edell? We discussed the company's record $1M+ quarterly revenue milestone, Chicago pilot program results, and the strategy driving its next phase of growth. Watch the full interview now on YouTube! youtube.com/watch?v=4dx5_nhS…