Equipment leasing represents significant financial exposure for most organizations – a often without the strategic attention it deserves. The equipment financing industry encompasses $1.34 trillion in annual volume, yet many organizations pay substantial cost premiums due to process inefficiencies. These inefficiencies stem from preventable gaps in lease management strategy and execution.

Modern enterprises generate data across hundreds of applications, databases, and cloud services. Moving this data efficiently between systems while maintaining quality and consistency requires robust Extract, Transform, Load (ETL) processes that form the backbone of every successful data strategy.

Today, we are unveiling a new ThoughtSpot. Not because we needed a new logo. Because our brand needed to catch up to the company we already are. If you know ThoughtSpot, you know us as more than dashboards or static analytics. You know us as the place where every question has an actionable answer. We are an AI company. We lead in Agentic Analytics. And it is time for our brand to make that unmistakably clear. And yes, I am excited. We are all excited.

GPU underutilization costs enterprises millions annually, with expensive accelerators frequently running single workloads at a fraction of their capacity. According to ClearML’s 2025-2026 State of AI Infrastructure at Scale report, almost half (49.2%) of IT leaders at F1000 companies identified maximizing GPU efficiency across existing hardware, including shared compute and fractional GPUs, as their top priority for expanding AI infrastructure over the next 12-18 months.