AI/ML development
AI strategyOn their agenda
AI/ML development
AI strategyScalable AI solutions
AI strategyStrategic partnerships
Growth & partnershipsIn the room
ET · Talk
In this keynote-style talk, Rémy Thellier confronts the “illusion of AI productivity”—the growing gap between individual time savings and enterprise-level ROI. While AI adoption is accelerating, most organizations still struggle to translate usage into measurable economic outcomes. The core argument is simple: ROI doesn’t fail because models aren’t good enough; it fails because workflows, governance, operating models, and measurement systems aren’t redesigned to capture value. To move from pilots to profit, Rémy is joined by four guest leaders from four of Snowflake’s most strategic AI/ML ecosystem partners. Together, they present a series of customer stories showing how enterprises convert AI from isolated productivity boosts into measurable financial impact—by embedding AI into governed data foundations, integrating it directly into operational workflows, and tying initiatives to concrete economic levers: cycle-time reduction that accelerates revenue, external spend compression, and operational risk reduction. Examples include an agentic application for IT software license management that identifies waste and automates reclamation, and a centralized, AI-powered marketing & sales decision engine that unifies signals across channels to improve pipeline quality, conversion, and execution speed. Designed for CDOs and CAIOs, the session delivers pragmatic shortcuts to results: repeatable patterns, proven metrics, and implementation playbooks that help leaders move beyond “hours saved” to board-ready outcomes—faster time-to-value, safer scale, and durable ROI.
Working on now
Based on the company, Vanja is likely focused on developing and implementing advanced AI and machine learning solutions within Kumo
About
Given the limited information, a detailed professional bio is challenging to construct. To create a compelling networking bio, I need more details about Vanja Josifovski's current role at Kumo.AI, his past experiences, specific achievements, and areas of expertise. Without a headline, summary, or details about his position within Kumo.AI, it's impossible to highlight his key contributions, influence, or the specific knowledge he brings to the table for potential networkers. However, if I were to make an educated guess based solely on the company (Kumo.AI is known for AI/ML solutions), I would infer that Vanja is likely involved in artificial intelligence, machine learning, and potentially large-scale data systems. To network effectively, he would need to articulate his specific contributions and desired connections.
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