Infosys announced its strategic collaboration with LogicMonitor.
By combining Infosys AIOps Insights, part of Infosys Cobalt cloud offering, with LogicMonitor's Edwin AI, the collaboration seeks to enhance the observability of IT operations, improving performance, reliability and customer experience across complex systems.
Together, these offerings of Infosys and LogicMonitor aim to reduce problem diagnosis and resolution time by up to 30%, minimize redundant alerts by up to 70%, and provide comprehensive visibility across IT environments. They also deliver persona-based insights, improving forecasting and empowering proactive IT resolutions and business decisions.
Michael Tarbet, Global Vice President, MSP & Channel, LogicMonitor, said, "As enterprises navigate increasingly complex IT environments that span on-premises, multi-cloud, and critical devices, the need for a unified, hybrid observability platform powered by AI has never been greater. Through our collaboration with Infosys, we aim to address these challenges and deliver transformative observability solutions to global enterprises. By integrating LogicMonitor's Edwin AI with Infosys' AIOps Insights, we are helping enterprises achieve operational excellence, reduce costs, and ensure IT resilience."
Anant Adya, EVP and Service Offering Head, Infosys, said, "With our expertise in AI-driven insights and proven methodologies leveraging Infosys Cobalt, this alliance helps our customers make informed business decisions while unlocking innovation across the ecosystem. Together, we are equipping enterprises with the tools they need to stay ahead in an increasingly complex IT environment."
The Latest
A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...
Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...
A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...
As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...
Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...
Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...
Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...
Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...
As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...
Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...