Take Control of Capital Project Planning and Execution

With capital projects facing up to 79% cost overruns and persistent delays, this brief reveals how a modern, integrated approach can replace fragmented execution with data-driven control to deliver more predictable, eﬃcient outcomes. Capital projects in energy and utilities are becoming more complex, more costly, and more difficult to deliver successfully. Despite massive investments, many organizations still struggle with cost overruns, schedule delays, and fragmented execution. In fact, average project overruns can reach up to 79% of ini...

Whitepaper

Transforming Capital Project Execution in Energy & Utilities

An integrated, data-driven approach to energy and utilities program execution helps organizations cut costs, reduce risk, and gain full visibility—turning complex capital projects into predictable, high-performance outcomes. Today’s energy and utilities projects are more complex, more regulated, and more costly than ever. Yet many organizations still rely on disconnected tools, manual processes, and siloed data—leading to cost overruns, schedule delays, and limited visibility. This executive brief explores how an integrated approach to pr...

Whitepaper

Transform Capital Project Delivery Across the Full Asset Lifecycle

With capital project overruns nearing $1.2B and delays stretching up to two years, this brief shows how a data-centric, lifecycle-driven approach can unify execution, eliminate silos, and deliver more eﬃcient, predictable outcomes. Capital project delivery is under increasing pressure—rising complexity, fragmented systems, and disconnected data continue to drive cost overruns, delays, and inefficiencies across the energy and utilities industry. In fact, average project overruns approach $1.2B with delays of up to two years, while interope...

On-Demand Webinar

Three AI Inference Execution Paths: How to Match Your Workload to a Solution

Inference isn’t one-size-fits-all. No two AI initiatives run inference the same way. A team iterating on a new model, a team serving a customer-facing agent under SLA, and a team that wants to own every layer of the stack all need different things—yet they all need the same basic production requirements: capacity guarantees, observability, predictable cost, and expert support. In this 30-minute briefing, CoreWeave VP of Product Urvashi Chowdhary walked through CoreWeave Inference’s three execution paths—Serverless Inference, Dedicated Inf...

Report

Market Guide for AI Trust, Risk and Security Management

How do you secure AI use and deployment? This report by Gartner® provides great insight into AI trust, risk and security management (TRiSM) principles. The report includes guidance we believe essential to secure AI: • Required technologies and functions for each TRiSM layer. • The challenges of AI application security and what to look for in a solution. • The importance of having governance that addresses AI usage. • A critical need for AI runtime inspection and enforcement capabilities. Read the Market Guide for AI Trust, Risk and Securi...