#sap-erpbw

#sap-erpbw

Western Union is six months into a migration of 900 to 1,200 applications that run across a 3,900-core server fleet. The decision to move came during a period of re-invention at Western Union, a 175-year-old company that is currently working to become more customer-focused and therefore is open to new suppliers to help reach that goal.

By 2026, SAP migration programs are no longer framed as discrete IT initiatives focused on system compatibility or platform upgrades. Enterprises increasingly approach migration as a strategic intervention tied to financial performance, operational resilience, and long-term scalability. Within this context, a well-defined SAP migration strategy has become central to how organisations translate platform change into measurable business outcomes rather than treating migration as a technical prerequisite for future transformation.

Efficient business practices boost bottom lines, and finding the right balance begins with using the right productivity software tools. For entrepreneurs and small-business owners, time spent searching or navigating different tools could be better spent growing your company. Having the right productivity software in place isn't just convenient, it's essential for operational efficiency. The challenge many entrepreneurs face is balancing software costs with functionality.

Salesforce announced the Agentic Enterprise License Agreement (AELA) last October. It creates an all-you-can-eat approach to buying and consuming AI agents at a capped cost, and accompanies existing consumption-based and flexible credit models.

From the customer's perspective it felt like dealing with multiple companies wearing the same logo. Marketing sends a "We miss you!" email the day after a frustrating support call. Sales doesn't know the customer has already watched a demo. In-store purchase history is invisible to the ecommerce team. No continuity. No memory. No relationship.

The clock is ticking for companies using SAP ECC. The transition to S/4HANA must be completed by 2027. However, the reality is proving difficult. Figures from early February from research firm ISG show that nearly 60 percent of SAP migrations are delayed and exceed their budget. Underestimated complexity, scope expansion, and internal capacity constraints are identified as the main causes.

Snowflake adds observability capabilities via Trail The company also added new observability features in the form of Snowflake Trail, which provides visibility into data quality, pipelines, and applications, enabling developers to monitor, troubleshoot, and optimize their workflows. It is built with OpenTelemetry standards so developers can integrate with popular observability and alert platforms including Datadog, Grafana, Metaplane, PagerDuty, and Slack, among others.

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?

DataBahn's AI-driven connectors automatically normalize, enrich, and route telemetry from more than 500 sources to Microsoft Sentinel. DataBahn's Cruz AI engine determines which data to send to the analytics tier and which to the Sentinel data lake for long-term storage. Customers report cost savings of up to 60 percent on Sentinel ingestion thanks to this intelligent tiering mechanism.

"Pyramid adds an analytics and semantic layer that can define metrics in a way that both humans and AI agents can rely on,"

Most businesses, which includes modern ones, invest heavily in technology, but they rarely plan for its eventual and inevitable exit strategy. Generally speaking, companies spend millions on the latest hardware while overlooking the critical phase when those assets reach their end. This lack of planning creates a massive gap in the operational lifecycle of many otherwise successful global organizations. Decisions made at the end of a device's life carry real business risks that can impact the bottom line financially and environmentally speaking.

The fact that some companies are not planning to switch to S/4HANA until 2030 does not mean that they will wait until then to make the switch. Rather, they simply need this time due to the complexity of their system landscapes. I see this as a reflection of the reality in IT departments. Skills shortages, parallel transformation projects, and limited budgets are also causing schedules to be pushed back.

Many organizations, Gans suggests, resemble public airports - full of people waiting for phones to ring, managing buffers, absorbing uncertainty.

Across every industry, organizations are investing heavily in the potential of artificial intelligence to reshape how they operate and grow. Nearly 80% of executives expect AI to significantly contribute to revenue by 2030, yet only 24% know where that revenue might come from. This isn't an awareness gap. It's an architecture gap. The companies already capturing AI's value aren't waiting to discover it through pilots and proofs-of-concept.

Oracle's investments in AI may prove costly. Investment bank TD Cowen says the company hopes to reduce costs to finance its ambitious AI infrastructure build. To that end, it has already accumulated $58 billion in debt in two months. A round of layoffs affecting 30,000 employees is possible, while even a spin-off of Oracle Health, formerly Cerner, is being considered. Since September, Oracle has lost half of its market value, which currently stands at just under $400 billion.

Managing AI spending has become commonplace. Two years ago, 31 percent of organizations managed AI spending; today, 98 percent do. This is according to research by the FinOps Foundation. It shows that FinOps has definitively shifted from pure cloud management to broad technology value management. AI cost management is now a top priority, while AI value management is the most sought-after skill within teams.