#zato-services

#zato-services

Commvault focuses on data protection and recovery in the event of cyberattacks, ransomware, and system failures for both enterprise environments and cloud providers. Its clients include 3M, Sony, and Hilton.

SaaS on the Beach is built on selectivity, with attendance limited to 60 handpicked founders, creating a tightly edited peer group atmosphere.

"In agentic environments, agents mutate state across data, systems, and configurations in ways that compound fast and are hard to trace," says Pranay Ahlawat, Chief Technology and AI Officer at Commvault.

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.

Galileo provides AI teams with tools to evaluate the quality of AI outputs, detect errors before they reach end users, and continuously improve the behavior of AI agents in production.

Automating Kubernetes workloads with Operators can provide the same level of functionality as DBaaS, while still avoiding lock-in to a specific provider.

S3 Files is built on Amazon EFS and automatically translates file system operations into S3 requests, allowing applications to work with S3 data without code changes.

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?

If GenAI enhances or speeds things up, they should get more value faster and shouldn't pay the same rates. Our customers' buying patterns shifted to favor agile, outcome-based, AI-powered engagements with faster time to value and clear ROI, creating a significant revenue and workload concentration risk in our top revenue cohort.

A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."