Latest news with #AIOps
Khaleej Times
3 days ago
- Business
- Khaleej Times
Three reasons why AIOps is fast becoming a strategic priority for CIOs in Qatar
As Qatar accelerates its digital transformation in line with National Vision 2030, local CIOs are under pressure to manage increasingly complex IT infrastructures while also delivering on bold innovation mandates. From enabling smart cities and digital government services to supporting AI-powered public and private sector initiatives, the role of the CIO is becoming more strategic—and more challenging—than ever before. In this environment, technology leaders must navigate a demanding balancing act: how to modernise and scale IT operations, unlock value from data, and deliver seamless digital experiences without compromising on performance or resilience. AIOps (Artificial Intelligence for IT Operations) is emerging as a vital tool in this equation—one that can help CIOs in Qatar not only stay ahead of operational risk but actively drive transformation across their organisations. Organisations need tools that provide proactive incident management and faster issue resolution for increasingly complex IT infrastructure. AIOps uses machine learning and advanced analytics to monitor IT environments in real-time, allowing for quicker detection of potential issues, anomalies, and system performance degradation. AIOps tools can automatically analyze and identify the root causes of issues, reducing the human time spent on troubleshooting and accelerating incident resolution. This significantly improves system uptime and reduces downtime, which is crucial for maintaining smooth business operations. Most importantly, AIOps can provide reduced mean time to resolution (MTTR) as CIOs can drastically shorten the time it takes to identify and resolve incidents, ensuring minimal disruption to users and business processes. Use of AIOps offers organisations enhanced IT efficiency and automation to lessen the stress and pressures of IT management. AIOps automates routine and time-consuming tasks, such as log aggregation, event correlation, and alert management. This frees up IT teams to focus on more strategic projects and helps reduce manual errors and inefficiencies. AIOps platforms can also dynamically allocate resources based on real-time usage data, ensuring optimal performance and reducing the risk of over, or worse, under-provisioning IT resources. This results in cost savings and improved system performance. By leveraging AI to automate various aspects of IT operations, organisations can manage their infrastructure more efficiently, enabling IT teams to scale operations without significantly increasing resource requirements. Organisations are able to improve predictive capabilities and risk mitigation. There is tremendous value in using AIOps to predict potential failures or performance bottlenecks based on historical data and trends, enabling proactive measures to be taken before issues make costly impacts to the business. Predictive capabilities help CIOs plan for capacity, resource needs, and system upgrades more effectively. By identifying and addressing potential issues before they escalate, AIOps minimizes the risks associated with system downtime, security breaches, and poor performance. This helps safeguard business continuity and customer satisfaction. Further, AIOps helps maintain system reliability by proactively managing risks, ensuring IT operations stay aligned with business goals, and supporting a seamless user experience. Qatar's vision of becoming a digital-first, knowledge-based economy relies on high-performing technology infrastructure—and AIOps is key to making this vision a reality. According to Riverbed's 2024 Global AI & Digital Experience Survey, top-performing organisations are far more likely to be investing in AI than their peers (74% vs 54%), underlining the competitive advantage it can deliver. For CIOs in Qatar, this is not just about modernisation—it's about relevance, resilience, and readiness in a rapidly changing regional and global market. Beyond operational benefits, AIOps also helps attract and retain younger tech talent—an important consideration in a growing economy like Qatar's. The same survey found that younger generations, particularly Gen Z and Millennials, are the most optimistic about AI's role in the workplace. By adopting AIOps, CIOs send a powerful signal that their organisation is future-focused and committed to empowering its workforce. In a region where technology leadership is fast becoming a national imperative, Qatari CIOs who fail to act may find themselves facing growing inefficiencies, mounting risks, and declining stakeholder confidence. In contrast, those who embrace AIOps are setting themselves—and their organisations—on a path toward stronger performance, deeper insight, and sustainable success in the years ahead. The writer is Global CIO at Riverbed Technology.
TECHx
3 days ago
- Business
- TECHx
How AIOps Turns MENA's Data Overload Into Real Insights
Home » Expert opinion » How AIOps Turns MENA's Data Overload Into Real Insights AIOps transforms IT operations across the Middle East by converting data overload into real-time insights, reducing tech debt, and boosting efficiency. 'Data is the new oil' is an often-stated phrase. And while for decades, petroleum has fuelled the Middle East's transformation, today, data is the accelerator of the region's progress. But just as the true potential of oil is realised from the refinement of crude, it's only when the data deluge is effectively analysed that invaluable insight can be extracted. However, this is going to be a significant challenge given the volume of global data is set to rise from 2 zettabytes in 2010 to a forecasted 394 zettabytes by 2028. The Middle East is facing a well-documented IT skills shortage, so managing this flood is overwhelming to an already overstretched IT teams, whose current approaches to data management simply can't keep up with the exponential growth in scale and complexity. Without a digital lifeline, they're at risk of an information overload that could obscure data analysis, delay decision-making and impede commercial growth. Enter AIOps, which can help businesses manage vast amounts of data by surfacing the most critical issues in real-time – allowing IT teams to address problems faster and allocate resources where they're needed most, ultimately, providing a significant competitive advantage. In particular, the evolution of AIOps now includes generative, predictive, and agent-based capabilities that offer context-rich insights, early warning systems, and low-code automation—enabling IT teams to move from firefighting to foresight. Traditional approach leads to 'tech debt' The Middle East Digital Transformation Market is estimated at US$50.26 billion this year, and is expected to reach US$149.34 billion by the end of the decade. This rapid growth means rapidly scaling environments and greater levels of complexity. And while IT budgets are often directed towards the next transformative paradigm, often foundational elements such as software, data source and monitoring tools are overlooked. As a result, seemingly modern IT environments often have legacy systems, requiring significant manual oversight, which is time-consuming and prone to error. By design, these systems also fail to provide a holistic view of the IT ecosystem and it's the lack of transparency that makes it difficult to identify patterns or predict potential issues in a world where data is everywhere. What's left is an over-reliance on under-resourced IT teams that are tasked with locating, protecting and utilising a completely unmanageable amount of information. Updating or replacing these existing solutions involves considerable time and money. However, persisting with inefficient and outdated systems will likely incur 'tech debt' – the financial burden of constantly needing to update aspects of a digital estate to meet the demands of new projects. Essentially, neglecting digital transformation will result in repetitive and costly business expenses moving forward. If organisations hope to align themselves with the forward-focused agendas of regional governments – whether that's Saudi Arabia or Qatar's Vision 2030, Oman's Vision 2040, or the Emirates' 'We the UAE 2031' vision – they need a more proactive solution. AIOps, gleaning clarity from chaos AIOps has the power to transform organisational IT management thanks to the way it harnesses machine learning and advanced analytics. By allowing these platforms to oversee their data, organisations can effortlessly deal with the technical disruptions that would otherwise be buried within increasingly complex digital estates. AIOps doesn't just react to issues; it predicts them too. By analysing real-time and historical data, it detects patterns that signal future interruptions, allowing teams to act before problems impact users. The latest advances even integrate predictive analytics with graphical root cause analysis and proactive remediation suggestions—empowering IT to prevent disruptions rather than chase them. Automating repetitive tasks frees IT professionals for strategic initiatives while streamlining processes and optimising budgets, and platforms offering AIOps for observability provide a single window into IT ecosystems – reducing blind spots and generating insights that protect performance across applications. The addition of generative AI into this mix helps IT teams surface the right information without long chat threads or manual querying, accelerating the decision-making process further. AIOps enables organisations to cut through the chaos, offering a comprehensive view of digital operations and helping them focus on the information that truly matters to them. Why a data store matters For businesses to integrate technology that helps them comprehensively monitor the behaviour of IT systems, their information needs to be easily accessible – which is exactly why data stores are another key part of the AIOps equation. Imagine an organisation's digital infrastructure as a sprawling library. Each department functions like a separate wing, with bookshelves stacked high with unique collections of knowledge. If an IT team needed to locate specific information, they'd have to manually sift through countless aisles, searching for scattered volumes hidden in different sections. A centralised data store is like upgrading this library with a digital cataloguing system and an interconnected archive. Instead of wasting time hunting down individual books, teams can instantly access, analyse, and utilise the information they need. Such a digital asset can be the difference between a failed and a successful AI strategy. Combined with agentic AI—task-specific, customisable automations that don't require code—these capabilities allow organisations to not only understand their data, but act on it in real time through orchestrated workflows that blend human insight with machine precision. However, an inability to build a repository large enough is often a major stumbling block for many businesses, particularly as datasets become more immense than ever before. With the help of pre-built infrastructures, IT teams needn't worry about finding more capacity. Instead, they can reap the scalable, secure and accessible rewards of having a unified data ecosystem. Embrace the transformative power of AIOps As governments in the Middle East strive to increase the digital economy's contribution to overall GDP, data isn't just an operational byproduct—it's a strategic asset. Businesses that harness it effectively can identify trends faster, enhance customer experiences, and outpace competitors. A recent Riverbed survey revealed that 91% of businesses agree that AI provides a competitive advantage. As organisation now seek to embrace the most impactful AI use cases, AIOps present the perfect opportunity. It automates data management and streamlines disparate systems, transforming organisations into agile, data-driven enterprises. With new advances in generative, predictive and agent-based AI now embedded into the AIOps fabric, organisations are better equipped than ever to unlock smarter insights, enable faster response, and drive autonomous operations. As data volumes surge, businesses face a choice—struggle to keep up or embrace AIOps to enhance security, efficiency, and innovation. By shifting from reactive to proactive, organisations can truly master, rather than temporarily mitigating, their data overload. By Salman Ali, Senior Manager – Solution Engineering, GCC, Riverbed Technology
Business Wire
3 days ago
- Business
- Business Wire
Digitate Advances Agentic AI Platform to Accelerate Enterprises Towards Autonomous, Ticketless IT and Business Operations
SANTA CLARA, Calif.--(BUSINESS WIRE)-- Digitate, a leading global SaaS provider of AIOps solutions, today announced the launch of its latest release designed to help IT and business leaders materialize their vision of autonomous enterprise and ticketless operations. Built on ignio™ – a powerful Agentic AI platform for IT and business operations, the new release introduces a suite of AI agents capable of handling even the most complex IT and business tasks with speed and precision, supercharging employee productivity and elevating business resiliency to new heights. 'The complexity of today's enterprises needs intelligent agents that can understand, decide, and act with autonomy,' said Rahul Kelkar, Chief Product Officer of Digitate. 'With ignio, we envisioned a future of autonomous enterprises and pioneered the fusion of AI and automation from our very first release 10 years ago. Each subsequent release has empowered our customers to move away from reactive IT and step confidently into a world of proactive, self-driving ticketless operations. Our new Agentic AI platform and AI agents mark the next phase in this evolution, empowering CIOs, SRE teams, IT, and business operations to harness the power of ignio's agentic platform and AI agents to accelerate their autonomous enterprise journey.' Digitate's Agentic AI framework reimagines enterprise AI as a system of autonomous, goal-oriented, and context-aware agents. These agents operate independently or collaboratively, continuously learning from their environment, understanding intent, and making informed decisions – elevating enterprise IT from rule-based automation to intelligent autonomy. Digitate's initial AI agents will address the following specific IT functions and personas: AI Agent for IT Event Management: Designed to autonomously ingest, correlate, and prioritize millions of IT events in real time, this agent cuts through noise, identifies patterns, and flags actionable insights—transforming event chaos into clear operational intelligence. AI Agent for Incident Resolution: Built to intelligently resolve incidents across hybrid environments, this agent combines contextual understanding with autonomous execution. It handles known issues and adapts to emerging ones—significantly reducing mean time to resolution (MTTR). AI Agent for SRE: Tailored for Site Reliability Engineering (SRE) teams, this agent enhances observability and tracking across the enterprise tech stack, enabling hands-on support and proactive reliability management. AI Assist for CIO: Engineered for CIOs who require unified, high-level data from across the enterprise to make informed decisions about strategy, governance, business continuity, and cost optimization. Starting today, Digitate will offer early previews of the new AI agents, with general availability to follow in the coming weeks. The AI agent for IT event management is now available for a free trial on Azure Monitor via Microsoft Azure Marketplace. To learn more about Digitate's new Agentic AI platform and AI agents, visit Digitate builds AI technologies to power the autonomous enterprise. Our agentic AI platform – ignio™ – combines unified observability, AI-powered insights, and closed-loop automation to help enterprises across industries operate smarter, faster, and with greater resilience. Built on an agentic AI architecture, ignio enables proactive and predictive IT and business operations. Trusted by leading global enterprises and innovators, ignio accelerates innovation and maximizes business outcomes. Learn more at and follow Digitate on X and LinkedIn.
Business Wire
3 days ago
- Business
- Business Wire
LogicMonitor Appoints Garth Fort as Chief Product Officer to Accelerate AI Platform and Agentic AI Growth
BUSINESS WIRE)-- LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced the appointment of Garth Fort as Chief Product Officer. Fort will oversee LogicMonitor's global product strategy and execution, accelerating development of its LM Envision platform and driving continued leadership in AI-powered observability and AIOps with its AI agent, Edwin AI. The announcement comes as LogicMonitor surpasses a key financial milestone—exceeding $300 million in annual recurring revenue (ARR)—fueled by strong momentum in up-market expansion and multi-product adoption. Customers generating over $100K in ARR have grown more than 25% year-over-year and now account for 80% of total ARR. Edwin AI, launched just one year ago, has already contributed meaningfully to top-line acceleration and broader platform adoption. 'Garth's appointment represents our continued, strategic investment in product leadership at the intersection of Agentic AIOps and hybrid observability,' said Christina Kosmowski, CEO of LogicMonitor. 'Garth brings the pedigree and operational excellence to accelerate and execute our roadmap and unlock more value for our customers and partners—our goal is to reduce unplanned downtime by 50% and empower customers with foresight, not hindsight.' A former SVP and Chief Product Officer at Splunk, Fort led the company's transition to the cloud, now a $4.2 billion business. His expertise in product and technology has been key in shaping market-leading software and cloud services, including at Amazon Web Services (AWS) and Microsoft. Garth holds a bachelor's degree from the University of North Carolina, Chapel Hill, where he was a Morehead Scholar. 'LogicMonitor is uniquely positioned to lead the next era of AI-driven observability and IT Operations at a time of massive data center transformation,' said Fort. 'The increased demands created by rapid adoption of AI are driving unprecedented complexity across hybrid and multi-cloud environments. I'm excited to join LogicMonitor to help build an observability platform that doesn't just monitor across physical and cloud data centers - it foresees and adapts in real time.' About LogicMonitor LogicMonitor® offers AI-powered data center transformation. The company's SaaS-based platform, LM Envision, enables observability across on-prem and multi-cloud environments. LogicMonitor provides IT and business teams operational visibility and predictability across their technologies and applications to focus less on troubleshooting and more on delivering extraordinary employee and customer experiences. For more information, visit and our blog, or follow us on LinkedIn, X, Facebook, and YouTube.
Channel Post MEA
26-05-2025
- Business
- Channel Post MEA
Hitachi Vantara Launches Virtual Storage Platform 360
Hitachi Vantara has announced the launch of Virtual Storage Platform 360 (VSP 360), a unified management software solution designed to help customers simplify data infrastructure management operations, improve decision-making and the delivery of data services. With support for block, file, object, and software-defined storage, VSP 360 consolidates multiple management tools, enabling IT teams, including those with limited storage expertise, to more efficiently control hybrid cloud deployments, gain AIOps predictive insights and simplify data lifecycle governance. Organizations today are struggling to manage sprawling data environments spread across disparate storage systems, fragmented data silos, and complex application workloads, all while grappling with overextended IT teams and rising demands for compliance and AI readiness. A recent survey showed AI has led to a dramatic increase in the amount of data storage that businesses require, with the amount of data expected to increase 122% by 2026. The survey also revealed that many IT leaders are being forced to implement AI before their data infrastructure is ready to handle it, with many embarking on a journey of experimentation, hoping to find additional ways to recover some of the cost of their investments. VSP 360 addresses these obstacles by integrating data management tools across enterprise storage to monitor key performance indicators, including storage capacity utilization and overall system health, helping to deliver optimal performance and efficient resource management. VSP 360 improves end-to-end visibility, leveraging AIOps observability to break down data silos. It also streamlines the deployment of VSP One data services, tailored to meet each customer's unique business needs. 'VSP 360 represents a bold step forward in unifying the way enterprises manage their data,' said Octavian Tanase, chief product officer, Hitachi Vantara. 'It's not just a new management tool—it's a strategic approach to modern data infrastructure that gives IT teams complete command over their data, wherever it resides. With built-in AI and automation and by making it available via SaaS, Private, or via your mobile phone, we're empowering our customers to make faster, smarter decisions and eliminate the traditional silos that slow innovation.' The new capabilities offered through VSP 360 are built around three foundational pillars: Control : It delivers streamlined hybrid cloud infrastructure orchestration and unified fleet management across block, file, software-defined and object storage, empowering IT teams to quickly deploy and manage data across cloud and on-prem environments. : It delivers streamlined hybrid cloud infrastructure orchestration and unified fleet management across block, file, software-defined and object storage, empowering IT teams to quickly deploy and manage data across cloud and on-prem environments. Observe : It enables businesses to gain new visibility and predictive insights across their enterprise data through AIOps analytics—accessible via SaaS, mobile, or on-prem—delivering intelligent observability into system performance, capacity, security and health. : It enables businesses to gain new visibility and predictive insights across their enterprise data through AIOps analytics—accessible via SaaS, mobile, or on-prem—delivering intelligent observability into system performance, capacity, security and health. Govern: It enhances data policy enforcement, compliance, and lifecycle management across hybrid environments, supporting workloads including AI, cybersecurity and personal identifiable information (PII) classification. Designed for all organizations of every size, VSP 360 addresses the critical need for flexible, scalable, and intelligent data infrastructure. It consolidates complex management environments, reduces operational overhead, and empowers teams to do more with less. 'VSP 360 gives our customers the unified visibility and control they've been asking for,' said Dan Pittet, Senior Solutions Architect, Stoneworks Technologies. 'The ability to manage block, file, object, and software-defined storage from a single AI-driven platform helps streamline operations and reduce complexity across hybrid environments. It's especially valuable for IT teams with limited resources who need to respond quickly to evolving data demands without compromising performance or governance.' With seamless data lifecycle management integration, the new solutions support AI, PII discovery, cybersecurity, and IaaS use cases, providing comprehensive coverage for diverse needs. Additionally, it provides compliance-ready data governance, reinforced with VSP One's 100% data availability guarantees, making it the ultimate choice for secure and efficient data management operations. This is further enhanced by our recently announced guarantees, including guarantees for performance and sustainability. 'VSP 360 hits the mark for what modern enterprises need,' said Ashish Nadkarni, Group Vice President and General Manager, Worldwide Infrastructure Research, IDC. 'It goes beyond monitoring to deliver true intelligence across the storage lifecycle. The solution's robust data resiliency helps businesses maintain continuous operations and protect their critical assets, even in the face of unexpected disruptions. By integrating advanced analytics, automation, and policy enforcement, Hitachi Vantara is giving customers the agility and resilience needed to thrive in a data-driven economy.' 0 0
