Latest news with #AIOps
Syyaha
11-06-2025
- Business
- Syyaha
The transparency imperative: Why AIOps must lead tech's net-zero accountability movement
BY Mr. Bharani Kumar Kulasekaran, Director of Technology, ManageEngine The tech industry's grand promises about AI and sustainability have hit a wall. While organizations trumpet AI solutions for climate change, the technology itself consumes a staggering amount of energy. According to the International Energy Agency, data centers, AI, and cryptocurrency collectively consumed 460 terawatt-hours (TWh) of electricity in 2022—about 2% of global demand. By 2026, this number is expected to more than double to 1,000 TWh, surpassing the annual electricity consumption of entire countries like Germany or Japan. This situation has led to growing scrutiny, with some questioning whether AI's sustainability efforts genuinely reduce environmental impact or merely serve as a strategic narrative for organizations keen on PR. But amid this crisis of credibility, a solution is emerging from an unexpected quarter: artificial intelligence for IT operations (AIOps). By embedding real-time carbon tracking and automated optimization directly into IT infrastructure, AIOps is transforming sustainability from a marketing buzzword into a measurable metric. For the first time, companies can't just claim their AI is green—they have to prove hidden cost of green AIBeyond the staggering electricity consumption, the true environmental cost of AI extends deeper into our infrastructure. Each new breakthrough in AI capability demands more powerful hardware, more extensive training runs, and more complex deployments. The demand for bigger AI models has intensified a global chip shortage, caused by supply chain problems, energy demands of large-scale computing, and geopolitical issues. Even cloud providers' claims of running on renewable energy often mask the reality that peak AI workloads force them to fall back on fossil fuel sources during high-demand gap between intention and impact underscores a systemic issue: without tools to measure, verify, and mitigate AI's footprint, even well-meaning initiatives become performative. A prime example is Saudi Arabia, where a SAR 92.90 billion (USD 24.8 billion) investment in digital infrastructure since 2017 has fueled explosive growth in data centers and cloud services. This rapid expansion has brought energy efficiency and carbon tracking to the forefront of national priorities, highlighting the urgent need for robust measurement and mitigation solutions. AIOps: A bridge between promises and progress AIOps platforms, originally designed to streamline IT operations, are evolving into indispensable tools for climate accountability. By integrating environmental metrics into their analytics, these systems offer three transformative capabilities:● Real-time carbon tracking: Modern AIOps platforms monitor emissions at the workload level, providing granular insights into which applications, processes, or services are the most carbon-intensive. They integrate with energy meters, cloud providers, and hardware sensors to calculate emissions using industry-standard models like the Greenhouse Gas Protocol. This allows businesses to take immediate action, such as dynamically adjusting resource allocation, shifting workloads to renewable energy-powered data centers, or implementing low-power operation modes outside of peak hours. Reflecting this technological potential at a broader scale, Saudi Arabia's Saudi Green Initiative drives more than 85 initiatives focused on smart infrastructure and emissions reduction, targeting a substantial 278 million tonne annual cut in carbon emissions by 2030, underscoring the power of data-driven sustainability strategies.● Automated carbon offsetting: Beyond diagnostics, AIOps can trigger actions. While fully automated carbon offset purchasing remains an aspiration, current platforms provide sophisticated emissions tracking that facilitates strategic offset decisions. Microsoft's Azure Emissions Impact Dashboard and Google Cloud's Carbon Footprint tool represent early steps in this evolution, offering detailed emissions data that companies can use to guide their offset strategies. These tools enable organizations to understand their carbon footprint in near real time, though manual intervention is still required for offset purchases. Microsoft's pledge to be carbon negative by 2030 exemplifies how companies can use these insights to drive comprehensive sustainability strategies.● Code-level efficiency audits: AIOps tools analyze software for energy inefficiencies, flagging resource-heavy code that consumes excessive computing power. These systems can detect poorly optimized algorithms, redundant loops, or inefficient database queries, helping developers refine their applications for sustainability. For example, Microsoft CodeCarbon analyzes code for energy-draining patterns and provides developers with actionable integrating tools like this into the DevOps pipeline, companies can ensure that sustainability becomes a core consideration in every stage of software transparency mandate For AIOps to legitimize the tech industry's climate efforts, companies should adopt radical transparency. This starts with disclosing the energy use of AIOps platforms themselves—after all, if the tool meant to reduce emissions consumes excessive energy, it becomes part of the problem. Providers should publish third-party audits to verify their systems' efficiency and environmental impact. Additionally, demystifying algorithms is critical; black box tools erode trust, so adopting open-source frameworks or explainable AI (XAI) principles ensures stakeholders understand how decisions—like carbon offset purchases—are while automation is powerful, human oversight remains essential. Teams should review AIOps recommendations to ensure they align with both environmental goals and operational realities, striking a balance between efficiency and ethics. Without these steps, AIOps risks becoming another layer of opacity in the fight for sustainability. How organizations can incorporate AIOps into IT sustainability practices ● Assessing current IT carbon footprint: Conduct a comprehensive sustainability audit to identify high-energy consumption areas and set benchmarks for improvement.● Implementing AIOps tools: Choose AIOps platforms with built-in carbon tracking, intelligent workload optimization, and automated offset capabilities to streamline energy efficiency efforts.● Setting clear sustainability goals: Define quantifiable emissions reduction targets that align with overall IT strategy and environmental policies.● Monitoring and adapting: Continuously analyze AIOps insights to refine policies, optimize energy use, and integrate sustainability best practices across IT operations.● Ensuring transparency and compliance: Regularly publish detailed sustainability reports, ensure compliance with global environmental regulations, and communicate progress to role of ManageEngine in advancing sustainable AIOpsThe path forward is clear: organizations must move beyond treating environmental impact as a marketing exercise and embed sustainability into their operational DNA. AIOps provides the framework for this transformation—but success demands tools that go beyond optimization to deliver real like ManageEngine are leading by example. By combining intelligent automation with deep observability, ManageEngine's AIOps platforms empower IT teams to right-size workloads, prevent resource sprawl, scale infrastructure in line with demand, and proactively resolve issues that waste energy. These capabilities not only enhance operational efficiency but also help reduce emissions at becomes especially critical in data centre environments, where high energy consumption and operational inefficiencies can drive up both costs and carbon emissions. Ensuring sustainable operations in these settings require strict adherence to thermal best practices—most notably, the ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers) guidelines. ManageEngine's AIOps tools support this effort by continuously monitoring key environmental and infrastructure metrics such as temperature, Power Usage Effectiveness (PUE), server utilization rates, airflow, and more. When anomalies arise—whether it's a temperature hotspot, abnormal power draw, or an inefficient cooling pattern—the system can automatically trigger remediation workflows to resolve the issue. Through actionable insights, innovative tools, and a commitment to transparency, ManageEngine enables businesses to align IT operations with global net-zero goals. Its AIOps solutions make sustainability a measurable, achievable priority—bridging the gap between technological advancement and environmental accountability.
Zawya
09-06-2025
- Business
- Zawya
Riverbed named a leader in 2025 Gartner Magic Quadrant for digital employee experience
Dubai, United Arab Emirates: Riverbed, the leader in AIOps for observability, today announced that the Company has been positioned by Gartner as a Leader in the Magic Quadrant for Digital Employee Experience (DEX) tools for the second year in a row. The evaluation was based on specific criteria that analyzed the Company's overall Completeness of Vision and Ability to Execute, in the newly published Magic Quadrant dated May 26, 2025. Riverbed Aternity – Accelerated Rate and Pace of Innovation Over the past year, Riverbed has delivered an unmatched level of innovation to the DEX market. The Company has introduced 18 new products and major enhancements that directly target DEX teams, setting a new standard for digital experience management. Among the innovations delivered include: Aternity Mobile, the industry's first DEX for enterprise-owned mobile devices; IQ Assist, Generative AI that delivers instant, context-rich insights that surfaces root cause graphically and suggests remediations; and Riverbed Aternity for Intel® Thunderbolt™ and Wi-Fi making the Company the only DEX vendor to support visibility and management of Intel Thunderbolt connected peripherals and Wi-Fi performance. Riverbed remains committed to rapid product development and raising the bar for the industry. "Riverbed has developed a differentiated, future-ready solution that is advancing the DEX market and has set us apart from others in the category. From enabling AI-driven automation with real-time, full-fidelity data to addressing agent fatigue and supporting mobile workforce enablement, Riverbed has set a new bar in the industry,' said Jim Gargan, CMO of Riverbed. 'To be named as a Leader in the Gartner Magic Quadrant for Digital Employee Experience Tools, we believe validates our forward-thinking strategy and vision.' Riverbed – The Only Vendor to be recognized in both DEX and DEM Magic Quadrant Reports Riverbed is the only vendor to have been recognized in Magic Quadrant for Digital Employee Experience Management (DEX) Tools for the second consecutive year as well as the 2024 Magic Quadrant for Digital Experience Monitoring (DEM), which we believe underscores Riverbed's commitment to delivering seamless digital experiences across all user segments. A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market's competitors. A Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct: Leaders, Visionaries, Niche Players and Challengers. To download a complimentary copy of the 2025 Gartner Magic Quadrant for Digital Employee Experience Tools report, please visit:
Al Bawaba
09-06-2025
- Business
- Al Bawaba
Riverbed Named a Leader in 2025 Gartner® Magic Quadrant™ for Digital Employee Experience
Riverbed, the leader in AIOps for observability, today announced that the Company has been positioned by Gartner as a Leader in the Magic Quadrant for Digital Employee Experience (DEX) tools for the second year in a row. The evaluation was based on specific criteria that analyzed the Company's overall Completeness of Vision and Ability to Execute, in the newly published Magic Quadrant dated May 26, 2025. Riverbed Aternity – Accelerated Rate and Pace of Innovation Over the past year, Riverbed has delivered an unmatched level of innovation to the DEX market. The Company has introduced 18 new products and major enhancements that directly target DEX teams, setting a new standard for digital experience management. Among the innovations delivered include: Aternity Mobile, the industry's first DEX for enterprise-owned mobile devices; IQ Assist, Generative AI that delivers instant, context-rich insights that surfaces root cause graphically and suggests remediations; and Riverbed Aternity for Intel® Thunderbolt™ and Wi-Fi making the Company the only DEX vendor to support visibility and management of Intel Thunderbolt connected peripherals and Wi-Fi performance. Riverbed remains committed to rapid product development and raising the bar for the industry. "Riverbed has developed a differentiated, future-ready solution that is advancing the DEX market and has set us apart from others in the category. From enabling AI-driven automation with real-time, full-fidelity data to addressing agent fatigue and supporting mobile workforce enablement, Riverbed has set a new bar in the industry,' said Jim Gargan, CMO of Riverbed. 'To be named as a Leader in the Gartner Magic Quadrant for Digital Employee Experience Tools, we believe validates our forward-thinking strategy and vision.' Riverbed – The Only Vendor to be recognized in both DEX and DEM Magic Quadrant Reports Riverbed is the only vendor to have been recognized in Magic Quadrant for Digital Employee Experience Management (DEX) Tools for the second consecutive year as well as the 2024 Magic Quadrant for Digital Experience Monitoring (DEM), which we believe underscores Riverbed's commitment to delivering seamless digital experiences across all user segments. A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market's competitors. A Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct: Leaders, Visionaries, Niche Players and Challengers.
Khaleej Times
04-06-2025
- 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
04-06-2025
- 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
