Latest news with #enterpriseIT
Globe and Mail
30-05-2025
- Business
- Globe and Mail
Can AI Momentum Power Dell Stock Beyond $179 Again?
Shares of Dell Technologies (DELL) hit an all-time high of $179.70 on May 29, 2024. However, the rally didn't last, and the stock has dropped roughly 36% since then, as broader concerns about an economic slowdown and reduced enterprise IT spending rattled investors. While macroeconomic uncertainty persists, Dell's fundamentals remain solid, with the company delivering strong financial results driven by artificial intelligence (AI) demand. Moreover, Dell stock is trading at a compelling valuation, which will likely support its share price. Let's take a closer look. AI Demand: Dell's Growth Engine Dell's recent quarterly earnings reflect the strength of the AI tailwind for the company. In its first quarter of fiscal 2026, Dell's Infrastructure Solutions Group's (ISG) revenue was $10.3 billion, up 12%. The company witnessed significant demand for AI servers. Thanks to the solid demand trends, Dell's earnings per share (EPS) of $1.55 jumped about 17% year-over-year, much faster than its revenue growth rate. The company recorded $12.1 billion in AI-related orders during the quarter, which was more than what it shipped in the entire previous fiscal year. Actual shipments for the quarter came in at $1.8 billion, leaving Dell with a significant backlog of $14.4 billion. Notably, demand is showing no signs of slowing, with a solid and growing pipeline across cloud service providers and enterprise customers in multiple sectors. While Dell is seeing solid demand, the company is rapidly deploying large-scale AI server clusters, supporting its growth. Dell's end-to-end support services, including managed services and flexible financing options, enable customers to scale their AI infrastructure and, in turn, drive the company's financials. Looking ahead, Dell is doubling down on AI. It's enhancing its AI Factory approach, providing the compute, storage, networking, and software foundation needed to power next-gen AI applications. Innovations span from AI-capable PCs to cutting-edge data center platforms. Over the past quarter alone, Dell has expanded its portfolio with Copilot+ capable AI PCs, upgraded notebooks and desktops powered by Nvidia's (NVDA) RTX Pro Blackwell GPUs, and new Intel (INTC) and Advanced Micro Devices (AMD) processors. On the server side, Dell is expanding with air-cooled and liquid-cooled platforms designed to reduce energy costs and enhance performance in AI-intensive environments. The company's new AI Data Platform is another growth catalyst. Dell is offering high-speed, scalable storage solutions and advanced software integrations that will support future financial growth. Further, Dell's growing network of partners is another strategic advantage. Collaborations with tech leaders to bring AI models on-premises and simplify on-premises deployment of agentic AI is strengthening its position in the AI space. Dell is also innovating in the private cloud segment, introducing platforms that make it easier for enterprises to deploy and manage AI workloads efficiently. These initiatives will ultimately drive Dell's revenue and earnings, supporting its share price. Dell Stock Trades at Attractive Valuation While Dell is consistently delivering solid financials and is poised to benefit from strong AI demand, its stock is still trading at a very reasonable valuation. Dell stock has a forward P/E ratio of just 13.7x, and its price-sales (P/S) ratio sits at 0.83x. For a company growing as quickly as Dell, those numbers are hard to ignore. Since FY21, the company's earnings per share (EPS) have grown at a compound annual growth rate (CAGR) of 14%. Moreover, the company's management projects FY26 adjusted EPS to increase by 15%. Its reasonable valuation, double-digit earnings growth rate, and AI tailwinds suggest further upside in DELL stock. Here's What Analysts Recommend for Dell Stock Wall Street analysts remain optimistic about Dell's future and have a "Strong Buy" consensus rating. The average price target of $131.87 suggests 16% upside from current levels. Moreover, the Street-high price target of $155 represents a 37% potential gain from current levels. Can Dell Stock Surpass $179? With strong financials, double-digit earnings growth, and a foothold in the high-growth AI space (with $14.4 billion in backlog) — all at a reasonable valuation — Dell stock has plenty of room to run and could very well reclaim and surpass its previous high of $179.70.
Zawya
29-05-2025
- Business
- Zawya
Kerno announces first AI server operations in the UAE with AED 100mln investment during Make it in the Emirates
Dubai, UAE – Kerno, a pioneering UAE-based manufacturer of enterprise IT infrastructure, has announced the launch of its first ready-for-production enterprise server units, backed by AED 100 million in investment. The announcement was made last week, during Make it in the Emirates, the UAE's flagship industrial platform hosted by the Ministry of Industry and Advanced Technology (MoIAT). The milestone was unveiled in the presence of Her Excellency Salama Al Awadhi, Assistant Undersecretary for the Industrial Development Sector at MoIAT. As part of its participation, Kerno operated live electronics manufacturing equipment at the event — offering visitors a rare opportunity to witness advanced, real-time server production within the UAE. Gene Ostrovskiy, co-founder and Chief Revenue Officer at Kerno, said, "At Make it in the Emirates, we demonstrated the future of technology manufacturing in the UAE. Our live production demonstration proved that the region can produce the same quality of IT infrastructure as any global manufacturing hub." The company showcased its flagship OKAM and UQLEAD product lines, representing a significant leap toward establishing world-class IT manufacturing capabilities within the UAE. These servers and infrastructure solutions support everything from corporate data centers to advanced AI applications, all manufactured locally for both regional and international markets. The OKAM line features enterprise-grade servers based on the latest Intel and AMD chipsets, to meet the diverse needs of companies across the region, ranging from operating cloud services to supporting advanced computing applications. UQLEAD servers are designed with a laser focus on high-performance computing and AI workloads. These powerful systems are built for training and inference of AI models, vital in today's AI-driven era. The UQLEAD line targets high-performance computing and AI workloads and is designed to train and infer AI models. Kerno's portfolio also includes OTAON storage systems, which complements a comprehensive suite of IT infrastructure solutions. The initiative aligns with the UAE's broader industrial ambitions and affirms the country's ability to produce advanced, globally competitive technological products. By enabling local production of enterprise IT systems, Kerno is helping reduce regional reliance on imports while creating highly skilled jobs and deepening the UAE's technological capabilities. About Kerno Enterprises FZE KERNO Enterprises is the first world-class enterprise-level IT hardware manufacturer established in the United Arab Emirates, with our worldwide headquarters in Dubai. As a national industrial initiative, KERNO supports the vision of "Operation 300bn" as well as the ICV and Make It in The Emirates initiatives by localizing the development and production of mission-critical digital infrastructure, such as enterprise-class servers, AI servers, and data storage systems, vital to national security and technological sovereignty. Our upcoming state-of-the-art manufacturing facility in Dubai Silicon Oasis will have the capacity to produce tens of thousands of units per year, allowing the UAE to meet the majority of its domestic demand with secure, high-performance, locally manufactured systems as well as project its technological leadership to the region and beyond.
Forbes
21-05-2025
- Business
- Forbes
Red Hat CEO Defines Hybrid Today, Hybrid Tomorrow
Hybrid today means any application, any container, any cloud abstraction - hybrid tomorrow means any ... More AI model, any accelerator & any cloud. IT stacks morph. Enterprise software stacks tend to move, blend, shift and drift over time as software developers and data scientists skew them one way or another depending on the need for new applications, the use of different toolsets and the adoption of different development methodologies. Software stacks in this state of operation often get behind on patching updates for new features and security. So-called 'system drift' can move an organization's IT deployment away from its original build, such that it ends up in a state where troubleshooting becomes extremely complicated. It's always been this way, which is a large part of why the more componentized worlds of cloud computing and composable containerization technologies have been so eminently justified and validated. Hybrid harmony in this realm is a positive thing i.e. building technology out of intelligently disaggregated and distributed resources and components means we can shift and lift with system drift, without short shrift. Enterprise open source software company Red Hat says it has rolled out the latest version of its core platform with a view to catering for the reality of this movable feast. It has also detailed its wider position on enterprise IT software development in terms of where we are with hybrid interoperability today… and what it will mean in our immediate tomorrow. Red Hat Enterprise Linux 10 has been designed to help enterprise IT departments handle the challenges of hybrid environments and the imperative to integrate AI workloads with a durable operating system. According to a Red Hat-sponsored IDC study, 'Organisations [are] struggling to hire the Linux skill sets they need to operate and support their expanding fleet of distributions, which opens them up to further risk around security, compliance and application downtime. As technology demands continue to evolve and necessitate the use of more of these deployment scenarios and mechanisms.' Aiming to address this skills gap in Linux administration, Red Hat Enterprise Linux 10 introduces Red Hat Enterprise Linux Lightspeed. The team behind this development explains that integrating generative AI directly within the platform helps provide context-aware guidance and recommendations through a natural language interface. With Red Hat's enterprise Linux-specific knowledge, it assists with tasks from troubleshooting common issues to best practices for managing complex IT estates. 'Red Hat Enterprise Linux 10 is engineered to empower enterprise IT and developers to not just manage the present, but to architect the future. With intelligent features using generative AI, unified hybrid cloud management through image mode and a proactive approach to security with post-quantum cryptography, Red Hat Enterprise Linux 10 provides the robust and innovative foundation needed to thrive in the era of hybrid cloud and AI,' said Gunnar Hellekson, vice president and general manager, Red Hat Enterprise Linux, Red Hat. According to Red Hat, its platform is also prepared for the long-term security implications of quantum computing. Red Hat Enterprise Linux 10 now integrates National Institute of Standards and Technology (NIST) compliance for post-quantum cryptography. This approach is designed to give IT teams the ability to defend against 'harvest now; decrypt later' attacks and meet evolving regulatory requirements. This includes incorporating quantum-resistant algorithms to mitigate the risk of future decryption of currently harvested data and post-quantum signature schemes. The above-referenced enterprise operating system 'image mode' is a container-native approach that unifies the build, deployment and management of both the operating system and applications within a single, streamlined workflow. Users can now manage their IT landscape, from containerized applications to the underlying platform, with the same consistent tools and techniques. On our question on managing configuration drift, these mechanisms enable IT teams to proactively prevent unexpected patch deviations and establish a unified set of practices for application developers and IT operations. But where does all this get us in terms of the wider direction for Red Hat and the opinions and dreams harbored by its C-suite across the CEO and CTO roles? 'Open source removed the barriers that defined proprietary software. The challenges it created [to the established norm] were initially feared, ridiculed and attacked. But look at where we are today i.e. last year there were five billion contributions made to open source code repositories globally,' said Red Hat CEO Matt Hicks, speaking to press and analysts in person this month. 'Open source defined my career, where others saw fear, I saw potential… and that's exactly where we are right now with AI. This might be because it can still appear scary; if we think about open source AI (in areas like intellectual property for example), if AI is trained on open source software and trained on how to reproduce it, how do we establish who owns the original codebase?' Hicks says that these are aspects of technical disruption at work right now of huge magnitude. He agrees that the forces at work now are so massive that we will inevitably find disagreement between individuals. But he insists, AI can help unlock barriers, so we need to harness it for the greater good and help it to 'amplify the human creativity' that we ourselves have, even when it is sometimes locked within us. 'Enterprises have to balance the 'now' (running hybrid cloud and all the other elements of composable elements of computing) and the 'next' factor too,' said Hicks. 'The next element of the modern IT stack is of course AI-focused (and making that run and operate at scale) as the IT department must also lean forward towards quantum and more. Consequently then, we're focused on enabling the now with any workload on any cloud in any environment and – we realize that to be a platform company, we need to be able to focus on enabling enterprises for what comes next in the future. Hybrid today means any app, any container and any virtual machine. Hybrid tomorrow will mean any AI model, any [hardware] accelerator and any cloud… really, any envirobnment.' According to Red Hat CTO Chris Wright, Red Hat's approach to AI is to be both the tools for development and, by equal measure, the platform for deployment. He says the company is now working to apply the orchestration benefits of Kubernetes for AI… and further, he also notes that reasoning models are going to be a big challenge for datacenter infrastructures because they work with so many tokens (an AI token being akin to a unit of text i.e. a word or part of a word used by language models use to process and generate language). Red Hat wants to enable distributed inference for production workloads. With the company's llm-d new open source project, a single inference request can be served by multiple accelerators across multiple GPUs within a datacenter. Inference time scaling means enabling a model to 'think' longer, which means it will generally produce better results. But this involves increased use of model token processing, so Red Hat is looking at inference at scale-driven by Kubernetes architecture and llm-d based distributed inference. By distributing workloads and routing workloads to the appropriate area of cloud infrastructure (where compute processing engines are underutilized and ripest for taking on jobs), Red Hat hopes to be able to provide a more cost-effective route to functional AI. 'There's a huge amount of architectural management and orchestration occurring across the entire firmament of cloud, data, analytics and open source right now. With many of the workloads across these arenas now being impacted by the rise of AI services, we're seeing new intelligence functions move from experimentation to real enterprise adoption… and that shift demands the right infrastructure,' advises Tina Tarquinio, IBM chief product officer for IBM Z and LinuxONE, the mainframe hardware and enterprise-grade Linux server division of IBM that logically forms a parental dovetailing bond to Red Hat's platform. 'In light of these realities, we've focused on building systems that help software engineering and data science teams put AI into practice with trust and speed. This has been a foundational year for enterprise infrastructure and we have introduced products and services designed to meet the evolving demands of AI and hybrid cloud environments,' added Tarquinio. 'We need to enable technology teams to run mission-critical workloads with precision, reliability and clear control of energy efficiency inside every deployment. With modern systems now capable of processing up to 450 billion 'inference operations' per day [the computational steps carried out by an inference engine to execute a machine learning model's ability to detect pattern recognition and wider data relationships] the latest systems-level development must support a broader and progressive platform engineering strategy in line with workloads, user wellbeing and sustainability.' Analyst house IDC also has opinions on where Red Hat sits now. IDC research manager Ryan Caskey reminds us that due to evolving operational requirements, organizations today very often accumulate diverse Linux distributions. He underlines the fact that this means that the consistent maintenance of these heterogeneous environments can become increasingly challenging. 'Large-scale and intricate infrastructures, as well as teams that are routinely understaffed, underskilled and underfunded, present problems in need of solutions. Red Hat Enterprise Linux aims to establish a robust, foundational layer for both current and future IT strategic initiatives,' said Caskey, going on the record for commentary on recent platform updates. Red Hat has been on a growth and development trajectory that is similar and yet different to other enterprise open source platforms. Like Java, like Suse, like Git and like Apache, Red Hat has grown from relative anonymity to widespread business-level recognition. Where Java was acquired by Oracle from Sun, Red Hat was similarly acquired by IBM, but the parallel stops there i.e. the branding from Sun Microsystems is long gone on Java. Conversely, Red Hat has, under IBM, stayed very much as Red Hat. For further comparative confusion, open source version control software project GitHub was acquired by Microsoft in 2018 and still retains its brand. There is no standard template in this segment of the software market, it seems. Today, spanning increased enterprise penetration as it does, Red Hat's OpenShift is recognized as the market-leading technology (in terms of deployment and revenue) for enterprise Kubernetes and hybrid cloud orchestration. Microsoft would argue that its Azure Red Hat OpenShift is a more comprehensive way of consuming this technology, primarily because it enables customers to get Red Hat OpenShift for cloud container management with automation and networking controls, but with the additional benefit of Microsoft Azure cloud infrastructure services. Although Microsoft Azure Red Hat OpenShift is a fully managed service, OpenShift is also available as a managed app platform on cloud services from AWS, Google Cloud and IBM. Generally working in competition as much as collaborative 'co-opetition', Red Hat will often find itself deployed in cloud proximity to managed Linux and Kubernetes services from the likes of AWS, Microsoft Azure and Google Cloud. The three major cloud hyperscalers (with Oracle, Alibaba and others playing catch up) are often able to reduce the need for operating system licensing by keeping customers more natively aligned to their cloud platform. Like Stella Artois lager, its breadth might make Red Hat reassuringly expensive for some. Red Hat Enterprise Linux has maintenance, support and subscription costs that sit higher than services emanating from Canonical Ubuntu or Suse. For smaller operations willing to adopt so-called open source clones (there are many, but names here include Rocky Linux and AlmaLinux), alternatives always exist, such is the nature of open source. For additional balance here, let's note that the total cost of ownership and return on investment measures within the rogue/clone Linux market are much harder to define. Red Hat offers a more measured and quantifiable approach, hence it's not free. Looking wider afield, the ServiceNow AI Platform has been updated to allow users to put any AI, any agent, any model to work across the enterprise. The company says that this introduces deeper integrations with partners including Nvidia, Microsoft, Google and Oracle to accelerate enterprise-wide orchestration. The agents follow the introduction of the company's agentic AI suite earlier this year. Also of note, Salesforce has introduced its Agentic Maturity Model, a framework for organizations to understand and navigate the different stages of adopting and scaling AI agents within their environments. CEO Hicks spoke to the competition factor Red Hat faces in light of the AI development models that are currently coming out of ServiceNow and Salesforce. 'ServiceNow and Salesforce have impressive capabilities in building AI models also, but they will naturally be focused around ticketing and customer relationship management (respectively here) in the first instance. But there is a wealth of information in every company that makes them unique and no single one of those tools is going to unlock the breadth of data that organizations need to take advantage of AI in the next age of business. Red Hat's has always been focused on working with open source and with an open approach to enterprise data in a broader way that differentiates us,' said Hicks. For what might be the most pertinent example of pernicious proximity in this space, Red Hat competes with Terraform in the infrastructure-as-code software market… and Terraform was created by HashiCorp, which was finally acquired by IBM late last year. All of that said, Red Hat appears to have very few qualms about the proximity of those brands it works in competitive allegiance with and, as we have stated, still remains Red Hat, not necessarily Red Hat by IBM… because that will never happen.
Fast Company
21-05-2025
- Business
- Fast Company
Boom-bust-what's next: Preparing for supply chain instability by learning from our past
The tech sector often produces rapid innovation and growth in waves. A few years ago, the COVID-19 pandemic brought unprecedented unpredictability, leading to an initial stall, followed by a massive boom in the SaaS and IT industries driven by the need for remote work solutions, cloud services, and digital collaboration tools. Foundational technologies like enterprise IT networking also saw increased investment as companies rushed to purchase hardware and software to accelerate their digital transformation efforts and support secure, hybrid work. Like other variables during the pandemic, the 'boom' period was short-lived. Instead of sustained growth across the tech market, and the IT networking space in particular, a staggering demand overestimation by more than $120 billion caused a frenetic 'bust' that threatened to paralyze the industry. Supply chain volatility plays a significant role in these boom/bust cycles. Lockdowns and delays during the COVID pandemic dragged raw material supplies down substantially, creating initial pent-up demand and backorders. Tariffs also impact this cycle, with extreme price pressure for raw materials imported from foreign countries causing turbulence, especially in the enterprise hardware technology market. With the 25th anniversary of the dot-com peak and a challenging tariff environment along with a new IT industry buying cycle due to extreme demand for AI infrastructure and compute power, what lessons from the past can inform better supply chain management decisions? THE IMPACT OF TARIFFS ON THE TECH INDUSTRY AND THE SUPPLY CHAIN The potential impact of U.S. tariffs continues to loom large over the tech industry—especially following implementation on April 2nd, and the reciprocal behavior from other countries. Tariffs on imported goods from countries such as China, including the components needed to create fully formed tech and IT hardware, are likely to slow growth and create pricing pressure across the supply chain. For example, enterprise network switches have 300 different components sourced from different countries around the world. Any disruption in the supply chain due to tariffs could make these components costlier to use and import, stunting AI's promise and technological advancements needed to make IT management easier, more efficient, and more effective. Fortunately, the last supply crunch taught valuable lessons about the importance of real-time planning, optimization, transparency, and a pragmatic approach to managing a dynamic supply chain. During the COVID-19 pandemic, the initial rush to adopt new technologies was driven by necessity, but it also led to hasty decisions and overinvestment in some areas. As technology buyers anticipate the potential impact of tariffs, it's essential to take a holistic approach to understanding your supply chain, assessing where pricing pressures will likely be the strongest, adjusting as needed, and replacing suppliers and operations with countries that have a more tariff-friendly environment. ACTIONABLE ADVICE FOR MANAGING SUPPLY CHAIN DURING MARKET CHAOS Taking a measured approach to managing the global supply chain before making significant investments is critical. Be prudent with this process and carefully evaluate the long-term value and sustainability of new technologies and new supply partners, and weigh the impacts of tariffs before making any major decisions. Leveraging technology can help, for example, overhaul legacy and manual supply chain management processes, and implementing automation tools, such as inventory management systems and cloud-based platforms, can support real-time planning, re-routing, and execution across various functions. Throughout this process, technology vendors should prioritize transparency and communication with partners and customers. Being open and honest about supply chain drag and upstream pricing pressure can ease concerns and empower customers to make more prudent decisions when planning for future technology purchases and deployments, particularly for extensive AI networking, infrastructure, and data center expenditures. Additionally, establishing a dedicated team of supply chain and IT experts to drive continuous improvement and innovation in supply chain management is imperative, especially in the emerging environment. ARE WE MORE PREPARED THIS TIME AROUND? In what should come as no surprise, most companies are exploring AI to drive operational efficiencies and employee productivity, though a recent survey found 32% of CIOs and senior IT leaders had not yet seen significant ROI from AI investments nor efficiency improvements post-implementation. As AI matures, it will be used to create better user experiences, necessitating infrastructure upgrades and supply chain improvements to accommodate current applications. Significant investments have also gone into building new infrastructure for AI, leading to the rise of the 'AI factory,' or new data centers purpose-built for AI applications and power consumption. New AI-native infrastructures are seen as future-proof investments, as opposed to retrofitted ones that may not scale into the future. Legacy network systems and conventional supply chain cycles will not be able to support AI unless they evolve from single-purpose to multi-purpose systems, are capable of accelerated computing,and have full software-defined workloads. Companies are already investing in accelerated computing as the foundation of new infrastructure, paving the way for new revenue streams. The question remains: Are we better prepared this time around to help customers navigate the complexities of innovative technology and the potential impact of tariffs? The answers lie in our ability to help end customers understand how to effectively plan to ensure their technology investments deliver real, tangible ROI while also avoiding rushed decisions related to the latest newsworthy developments in AI. By focusing on practical applications of AI, adopting integrated platforms, and leveraging the expertise of Managed Service Providers (MSPs), organizations can navigate the challenges of the future and emerge stronger than ever. The technology boom-bust cycle during the COVID-19 pandemic, and the previous cycle of U.S. tariffs from the first Trump administration, have taught us valuable lessons about the importance of transparency, prudence, and a pragmatic approach to new technologies. As we enter the age of AI in networking, these lessons will be essential in helping us avoid another boom-bust supply and demand cycle and achieve sustainable, long-term growth.
Zawya
20-05-2025
- Business
- Zawya
Rewiring enterprise IT for simpler, smarter, and more flexible operations
By Greg Strydom, Managing Director at Think Tank Software When I'm asked why more Chief Information Officers are turning to Ivanti, I usually start with the numbers: 80% faster ticket resolution through automation 30–40% lower software licence costs via tool consolidation 94% patch compliance in under 10 days 480+ IT staff hours saved per month These aren't just metrics. These reflect a broader shift in enterprise IT: the urgent need for simplification. Enterprises today are overwhelmed. The average organisation now manages between 45 and 75 separate IT tools. According to Ivanti's Tech at Work 2024 report, 71% of IT and security teams say their tech stack is too complex. This is not just eating into budgets; it's damaging agility, security, and the overall employee experience. Ivanti is the reset button. At Think Tank Software Solutions, we've seen firsthand how Ivanti helps enterprises in South Africa simplify their digital environments by merging IT Service Management (ITSM), Unified Endpoint Management (UEM), cybersecurity, and Digital Employee Experience (DEX) into one intelligent, integrated platform. One Platform. Multiple Wins. A recent IDC study revealed that legacy tools consume 70% of IT budgets.³ Ivanti addresses this by consolidating fragmented systems into a single pane of glass, improving visibility, reducing costs, and streamlining support. In one engagement, a client replaced 15 overlapping tools, cut licence fees by 35%, and improved service levels within six months. Built for Flexible Work Ivanti's 2024 report shows that 1 in 3 employees believe their company isn't adequately prepared for remote work. That's a sentiment we've encountered across multiple industries and helped resolve. Through Ivanti, we've enabled: Onboarding times reduced from 90 minutes to under 10 Incident response times cut by 62% Secure, scalable onboarding for remote teams Security That Doesn't Burn Out Your Team 74% of IT leaders now feel more vulnerable than ever before.⁴ Ivanti's self-healing capabilities and automated patch management dramatically reduce risk—without overwhelming your internal teams. In a financial services deployment we led: Security risk exposure dropped by 70% Silent IT failures were identified and resolved automatically, before users raised a single ticket Why Think Tank Software Solutions? As South Africa's only Ivanti Premier Partner, we don't just implement solutions, we align them to your business strategy. Our approach is consultative, agile, and ROI-driven. What we've delivered for our clients: 40% fewer support tickets within three months 3x improvement in compliance across endpoints 6–9x ROI in the first year Less Noise. More Orchestration. Ivanti isn't just another IT tool, it's an orchestration layer. It brings your entire digital ecosystem into sync, enabling IT teams to work smarter, respond faster, and drive measurable business value. In a future defined by how seamlessly everything connects, Ivanti leads. And we help our clients lead with it. About the Author Greg Strydom is the Managing Director of Think Tank Software Solutions, South Africa's only Ivanti Premier Partner. He leads a team of enterprise IT specialists focused on enabling resilience, automation, and digital transformation across the continent. About Think Tank Software Solutions (TTSS) Think Tank Software Solutions (TTSS) has been a leading provider of enterprise software solutions since 2010. Specialising in Ivanti products, Think Tank Software Solutions helps businesses automate IT operations, enhance digital experiences, and improve business outcomes. With a focus on tailored, strategic guidance and end-to-end support, Think Tank Software Solutions (TTSS) collaborates with clients to create custom solutions that align with their goals. As South Africa's only Ivanti Premier Partner, TTSS offers exclusive expertise and industry-leading solutions that empower businesses to stay competitive and efficient in an evolving digital landscape. Copyright © 2022 - All materials can be used freely, indicating the origin Provided by SyndiGate Media Inc. (
