#workiva

#workiva

Braze's Q4 revenue of $205.2 million surpassed the consensus estimate of $198.23 million by 3.50%, marking a significant 27.9% year-over-year growth.

Azure Governance is the set of policies, processes, and technical controls that ensure your Azure environment is secure, compliant, and well-managed. It provides a structured approach to organizing subscriptions, resources, and management groups, while defining standards for naming, tagging, security, and operational practices.

Neocloud providers, which include the likes of Nscale, CoreWeave and Carbon3.ai, are having a somewhat disruptive impact on the market by making huge commitments to build out hyperscale datacentres in support of the UK government's AI growth agenda. These providers are also taking up capacity in colocation datacentres that some of the hyperscale cloud giants previously committed to renting space in, before pulling out.

Rather than stolen data making headlines, it was business stoppage that triggered attention. Moving into 2026, the board's focus should be on ensuring business continuity and building resilience in the face of emerging risks generated by AI usage and attack vectors, quantum computing and geopolitics.

When staff resort to copying data between spreadsheets, keeping shadow systems in Excel, or doing repetitive tasks that feel like they should be automated, something is wrong. These workarounds creep in gradually; a quick fix here, a temporary solution there, until suddenly your operations depend on a patchwork of manual processes. Workarounds rarely stay small. What begins as a simple spreadsheet to track information your CRM cannot handle eventually becomes a document that multiple team members depend on.

Subscription & Support, which generates 95.5 percent of the company's total revenue with $10.7 billion, saw 13 percent growth on an annual basis. Each segment within this division is now called Agentforce, a clear move to place AI even more centrally in external communications. However, expectations for the coming year ($45.8 to $46.2 billion) are on the low side compared to the $46.06 billion predicted by analysts.

A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?

There is a growing emphasis on database compliance today due to the stricter enforcement of compliance rules and regulations to safeguard user privacy. For example, GDPR fines can reach £17.5 million or 4% of annual global turnover (the higher of the two applies). Besides the direct monetary implications, companies also need to prioritize compliance to protect their brand reputation and achieve growth.

As audit committees confront a rapidly expanding risk landscape, their role in corporate governance is being reshaped. Boards have often turned to current and former CFOs as independent directors, particularly for audit committees, because of their ability to translate complex operational and financial realities into effective oversight.For example, this month, J. Michael Hansen, former EVP and CFO of Cintas Corporation, was appointed to the audit committee at Paychex.

It's about replacing entire layers of business process management with intelligent systems that route work, make recommendations, and execute decisions autonomously. PEGA builds workflow automation and CRM software specifically designed for this transformation. The company generates $1.73 billion in trailing revenue with a 16.1% profit margin, focusing on AI-driven customer engagement and process automation. Recent quarters show dramatic profitability improvement, with Q1 2025 delivering $85.4 million in net income after the company posted losses in 2022.

Unverified and low quality data generated by artificial intelligence (AI) models - often known as AI slop - is forcing more security leaders to look to zero-trust models for data governance, with 50% of organisations likely to start adopting such policies by 2028, according to Gartner's seers. Currently, large language models (LLMs) are typically trained on data scraped - with or without permission - from the world wide web and other sources including books, research papers, and code repositories.