Bruno J. Navarro
Bruno J. Navarro is a Workday staff writer, covering finance and tech trends.
Modern forecasting demands a holistic approach and the right technology to support it. Learn how companies are connecting sales and demand forecasting with AI platforms to power predictive insight.
Learn how AI is moving finance from reporting to strategy with this four-step playbook for implementation and growth
In e-commerce, inventory directly shapes customer loyalty and financial performance. Companies that optimize it with the right strategies and technologies gain a stronger competitive position.
ERP systems are one of the most critical technology investments companies make, yet implementation challenges often derail progress. A well-planned and executed ERP deployment can be the difference between failure and success.
Predictive analytics is reshaping the way organizations navigate uncertainty. By turning data into foresight, it gives leaders clarity to act decisively and keep the business moving forward, even when markets change.
Vendor onboarding sets the tone for your entire business relationship. With a smart framework in place, you can onboard vendors effectively to reduce friction, lower risks, and boost the value of your partner network.
Financial analysts and FP&A professionals play complementary but distinct roles in maintaining a company’s financial health. Learn how the two differ in focus, responsibilities, career trajectory, and business impact.
Forward-thinking finance leaders are turning to AI as they realize the traditional playbook for managing foreign exchange risk is outdated.
Most effective finance leaders use a deep, hands-on understanding of the entire business—beyond just financial reports—to create value and drive long-term success
The biggest threat to your AI strategy might be internal. Data silos and redundant projects in different departments are crippling progress. A unified approach is key to realizing AI’s full benefits.
Finance and data leaders should think about how to enable true collaboration to develop a lasting competitive advantage for their organizations
Increasingly, it’s necessary to have a practical, actionable framework to help organizations navigate the initial phases of AI integration and realize its full value.
Every organization depends on accurate financial record-keeping and forward-looking analysis to steer its financial course. Explore how accounting and FP&A work together to fuel smarter decisions.
Here are a few actionable ways to help ensuring your organization’s success in an AI-driven business environment.
Financial forecasting has become a necessity in today’s fast-changing markets. With the right models in place for each scenario, finance teams can anticipate change, guide smarter planning, and drive stronger outcomes.
The real game-changing benefit of agentic AI requires AI to partner with humans and other technology tools.
Managing a performance-driven AI agent involves setting relevant KPIs, implementing robust measurement strategies, and engaging in continuous iteration and optimization to maximize AI effectiveness.
A conversation with business leaders from PayPal, Salesforce, and Team Car Care around agentic AI delves into practical applications and broader implications.
Understanding how to determine the true value of agentic AI and AI teams will provide organizations the competitive advantage to make the most of its investments in technology—and power growth well into the future.
Finance leaders must understand these key aspects of AI—from foundational capabilities and strategic value to data, risk, and talent—to drive growth and competitive advantage in an AI-driven world.