Victoria Gayton
Latest from Victoria Gayton
System Z reinvented: Why IBM’s mainframe still owns the enterprise core
Mainframe computing is having a moment — again. Nearly 60 years after the first IBM System/360 debuted as a mainframe platform, it continues to evolve in ways that defy expectations, powering critical workloads across enterprises. In an era shaped by hybrid cloud, artificial intelligence acceleration and rising regulatory pressure, IBM System Z remains a constant at the ...
Three insights you might have missed from theCUBE’s coverage of ‘The Future of Finance. Revealed.’ event
Finance is standing at an inflection point. Once defined by monthly closes and backward-looking reports, the office of the chief financial officer is now being reshaped by artificial intelligence systems that promise not just automation, but autonomous finance — and the competitive stakes are rising fast. Across industries, leaders are realizing that AI is no ...
Three insights you might have missed from theCUBE’s coverage of CrowdStrike Fal.Con
Last year, CrowdStrike Holdings Inc. weathered a major stress test, one that pushed the company to respond quickly and visibly on a global scale. A global outage in July 2024 impacted 96% of its customers, raising questions about resilience and operational scale and the need for autonomous cybersecurity. Instead of retreating, the company leaned into ...
From RPA to agentic AI, enterprises push automation’s next frontier
Robotic process automation, or RPA, is evolving beyond repetitive task automation into a new era of agentic intelligence, where bots and agents work together to enable enterprise-scale automation strategy. This next chapter builds on the foundation of RPA. It extends into judgment-based work that demands governance and oversight, according to Dana Forfa (pictured, left), vice ...
How Allegis breaks bottlenecks with workflow automation
Many organizations chase efficiency gains with workflow automation, but few achieve measurable outcomes that ripple across their entire business. For Allegis Global Solutions, a strategic shift in thinking — and tooling — helped the company leap beyond those limitations. Faced with a legacy system that would’ve taken more than a decade of developer time to ...
Measuring what matters: New metrics aim to capture AI’s hidden value
Artificial intelligence is being hailed as a revolution in efficiency, but AI productivity gains remain elusive at scale despite enterprises pouring billions into experimentation. This paradox reflects a recurring pattern in the history of innovation: Groundbreaking technologies often spark massive investment long before they deliver measurable results. In the case of AI, companies are hiring ...
The risks of random acts of automation in today’s workplace
Artificial intelligence and automation are moving faster than governance can keep up, reshaping the nature of work and customer experience. When enterprises deploy tools without a clear strategy, they risk fragmenting processes and undermining long-term trust. Quick wins in automation often morph into disconnected “random acts” that remove humans too quickly from critical processes, according ...
Why identity security is the new boundary for the AI era
Artificial intelligence isn’t just reshaping applications: It’s redrawing the boundaries of identity security. As conversational agents take center stage, identity emerges as the defining layer where innovation and security converge. Developers now face a landscape where application programming interfaces are the primary surface for business logic and uncontrolled agents can interact with critical systems. This ...
Identity security fabric takes center stage as organizations balance trust and complexity
Identity security fabric is becoming critical in the age of artificial intelligence agents. Organizations face mounting pressure to protect both human and non-human identities as technology grows more complex and unpredictable. A design-first approach helps weave together fragmented tools into a unified identity security fabric. This vision is centered on openness and user experience, ensuring ...
Unstructured data surge fuels demand for smarter AI classification and retrieval tools
Unstructured data is defining the enterprise era of artificial intelligence. PDFs, videos, images and audio files now account for the vast majority of organizational content; yet companies have historically struggled to extract insights from this hidden trove. The rise of AI agents is turning that tide, making it possible to transform static files into dynamic ...