When service outages happen, the clock starts ticking, not only to restore that service, but also to identify and fix the root cause so the problem doesn’t recur again and again. However, root cause analysis (RCA) can be exceptionally time-consuming for IT teams tasked with combing through massive log files for clues about the underlying problem.

Global organizations are having increasingly critical discussions around the importance of cyber resiliency, an organization’s ability to withstand, respond to, and recover from cyber incidents. With the frequency of cyberattacks growing 30% since last year and the total estimated fallout of cyber 2024 cyberattacks charted to surpass $9.5 trillion, ensuring effective cyber hygiene and resiliency strategies is more important than ever.

From the NIST Cybersecurity Framework to GDPR and more, public sector agencies must comply with a myriad of IT regulatory requirements. These regulations ensure proper financial management and stewardship, security, governance, operational efficiency and effectiveness, incident management – and ultimately, assure public trust and accountability.

The past few years have been dominated by digital transformation characterized by a move away from legacy on-premises systems to the cloud. However, there are also instances when bringing certain assets back from the cloud – a process known as “cloud repatriation” – can be a strategic and cost-effective move. Questions persist about when cloud repatriation makes sense and how organizations should craft their strategy.

In today’s fast-paced digital business landscape, IT service management teams face immense pressure to swiftly adapt to new technologies and meet stringent SLAs. To ensure optimal customer experiences and drive business growth, organizations need an approach that goes beyond current AIOps and semi-autonomous market offerings – they need Autonomic IT. Imagine a self-managing IT environment that monitors and optimizes technology investments as it runs.

Fragmented insights. Limited visibility. Unreliable solutions. For too long, traditional IT tools have not just failed – they’ve actively sabotaged both IT departments and businesses at large. These antiquated systems drain high-value engineering resources, crush frontline support teams, and turn problem resolution into an endless, futile struggle. In an age where AI reshapes entire industries overnight, clinging to these traditional IT approaches border on organizational malpractice.

In the past, IT was viewed primarily as a facilitator for business operations, overseeing systems, software, and applications essential to technology-driven enterprises. However, a new strategic approach has emerged that has transformed how organizations manage their IT services.

IT modernization is imperative to an agile, productive, citizen-centric, and cost-efficient government. It’s also codified as a key objective of many mandates and guidelines. But as mission-critical as IT modernization initiatives are, they are also fraught with risk and operational challenges, including: To overcome these barriers to streamlined IT operations, government leaders should rely on artificial intelligence for IT operations (AIOps).

Financial services companies enable a steady stream of intricate transactions—all of which are underpinned by an increasingly complex array of systems, services, and applications. Many forward-looking financial institutions have evolved to include multiple clouds, hyper-converged infrastructures, virtual machines, and containers to house massive quantities of transactional data and processes.