What the day-to-day looks like:
• Leverage the company’s proprietary datasets to uncover insightful company and market trends across AI and machine learning operations, databases, data integration and access, and data governance for investment funds and corporate clients.
• Develop forward-looking analyses and uncover industry dynamics, key growth drivers, and demand shifts across themes including the durability of enterprise AI budgets, competitive displacement between model and platform vendors, data consolidation, and the movement of analytics and inference workloads across cloud environments.
• Contribute thought leadership by creating high-impact content for our newsletter and client communications.
• Clearly and effectively communicate actionable insights to clients and prospects through calls, webinars, and events.
• Contribute domain expertise and research judgement to hone the fidelity of our first-to-market research methodology; partner with product and engineering teams on design to continue the creation of our best-in-class AI-native research platform.
• Stay ahead of emerging trends, technologies, and innovators shaping the future of data infrastructure and AI - agents reaching production, inference economics, lakehouse and vector architectures, open-source models challenging the leading foundation models, and more.