Finance leaders are uniquely positioned to guide their companies through the AI shift. But it requires a new approach – one that goes beyond controlling spend and focuses on aligning AI with strategy, enabling agile planning, and building trust in AI systems.

This article explores Retrieval-Augmented Generation (RAG), a critical advancement in AI that ensures business answers are accurate and data-driven, boosting efficiency, reducing risk, and enhancing productivity.

AI agents are transforming businesses by automating complex tasks, cutting costs, and driving innovation. This article explains what AI agents are, explores practical examples across industries, discusses key benefits and challenges, and offers strategic advice on successfully implementing AI agents to gain a competitive advantage.

This article explains the shift from NFRD to CSRD and why the new regulation is a significant shift for ESG reporting in the EU. It outlines the key challenges companies face, including data management, resource allocation, and evolving regulatory standards, and examines various compliance options such as hiring external consultants and leveraging advanced software.

As ESG regulations tighten, businesses must move beyond checkbox compliance and embrace sustainability as a financial and strategic advantage. This article explores the legal and financial risks of poor ESG management, highlights real-world case studies like Outokumpu’s AI-driven sustainability strategy, and explains how AI-powered ESG reporting can help companies streamline compliance, enhance risk management, and drive operational efficiency.

Agile budgeting is transforming FP&A, enabling companies to adjust financial plans in real time. However, without reliable, well-governed data, frequent re-forecasting can lead to poor decision-making, budget overruns, and lost credibility. This article explores why speed alone isn’t enough, the financial risks of bad data in agile planning, and three key strategies to ensure budgeting agility is backed by accurate, aligned, and timely financial intelligence. By centralizing data, automating validation, and enforcing accountability, finance teams can create a fast, flexible, and financially disciplined budgeting process.

This article outlines 7 data analytics priorities tailored to small and mid-sized businesses. From effective governance to practical MLOps, each priority is designed to help organizations stay competitive and data-driven in the year ahead.

As Microsoft retires traditional Power BI Premium licenses, small and medium-sized businesses face new cost challenges with the shift to Microsoft Fabric. This article breaks down the changes and offers simple, actionable steps to control expenses—such as starting small, mixing license types, monitoring usage, and considering flexible billing options. By focusing on these strategies, SMBs can confidently navigate the transition, maintain data insights, and keep their budgets in check.

Centida partnered with Casco Automotive to revolutionize their business processes through innovative data engineering and analytics. By addressing challenges like siloed data and outdated tools, Centida implemented solutions that streamlined financial planning, forecasting, and reporting, empowering Casco to act decisively and lead their industry.

Collaboration between Finance and Procurement functions is transforming how organizations manage costs and enhance financial performance. By breaking down silos and working together, these departments can leverage shared data, align strategies, and drive significant value.