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Forbes
12 hours ago
- Business
- Forbes
How Platform Engineering Enables Modernization And Cloud Adoption
Steve Millidge, CEO and founder at Payara Services. As organizations advance in their digital transformation, the modernization of legacy applications and the adoption of new technologies are becoming fundamental strategies to drive competitiveness. Yet, many enterprises still grapple with the complexity of legacy systems, fragmented toolchains and the daunting risks associated with large-scale migrations. Platform engineering can bridge this gap by enabling safe, incremental modernization while supporting unified application management. The first enterprise applications emerged 25 to 30 years ago, when Java and Java 2 Platform, Enterprise Edition (J2EE) were launched. Since then, Java has remained a foundational technology for business-critical systems. In effect, fast forward to 2025, and Java (as well as enterprise Java) remains a dominant force in enterprise IT. Nearly 70% of organizations have more than half of their applications built with Java or running on the Java Virtual Machine (JVM). A significant share of production workloads still rely on older Java versions, and legacy applications remain at the heart of business operations for the vast majority of enterprises. To give some context, current statistics report that 80% of companies plan to continue leveraging past investments in Java applications, which typically number in the hundreds for large firms and in the thousands for big enterprises. Even more, while many organizations are currently modernizing Java applications, 19% of modernized Java applications will still use Java 8, which was released in 2014, rather than more recent versions, such as Java 17, 21 or 23. These current trends clearly show how legacy enterprise Java applications still form the backbone of daily operations for a large portion of the global market, with organizations continuing to depend on them for mission-critical workloads and key business activities. While essential, these aging systems often lack the flexibility, scalability and security required for today's digital operations. They can also be difficult and costly to maintain or scale. To address these issues, a growing number of firms are investing in enterprise Java modernization strategies and migration engineering tools, with organizations expected to modernize over 80% of their existing Java applications. The associated modernization efforts are expected to divert 45% of available developer resources on average, potentially for five years or more. The Growing Role Of Platform Engineering Platform engineering, an approach that focuses on unified, self-service technology platforms, can help organizations address the issues associated with legacy application performance and modernization. In effect, platform engineering principles are all about streamlining and standardizing the development, deployment and management of applications to improve productivity, reduce operational overheads, shorten application cycle times and accelerate speed to market. These gains are achieved through standardized, scalable and reusable systems as well as automated workflows. By utilizing application platforms, developers can quickly access resources without delays through self-service tools. In addition, automations can handle repetitive tasks, such as provisioning and deployment, cutting down manual work, while the standardized workflows and environments offered can reduce errors and simplify troubleshooting. Furthermore, built-in security features and centralized monitoring tools keep systems reliable and compliant. Platform Engineering As A Migration Engineering Tool One less-discussed benefit of platform engineering for software development and IT teams is its ability to support modernization efforts, simplifying and streamlining key activities while reducing their risks. In fact, the traditional approach to application modernization typically consists of replatforming or rearchitecting entire systems in one sweeping move. While these methods promise relatively quick transformations, they can lead to extended downtime, high costs and can disrupt essential business operations. A comprehensive, compatibility-oriented application platform offers a more pragmatic, incremental path. Thanks to its core capabilities, it can help organizations modernize legacy Java applications in well-planned stages while offering a unified system to maintain and run both brownfield and greenfield applications, addressing the needs of both systems. How To Choose An Application Platform For Effective Modernization The strategic, compatibility-first approach offered by platform engineering can help software development teams innovate and reduce technical debt, as well as future-proof their application portfolio at a sustainable pace. However, as the number of solutions available is expanding exponentially, it is important to select a suitable option. First, it is essential for organizations to identify intuitive interfaces that emphasize developer experience in order to reduce onboarding time. The right platform should also embed the necessary security and compliance requirements as well as auditability to help ensure robustness, resilience and alignment with relevant regulations. Comprehensive monitoring and observability tools are essential for maintaining application health, diagnosing issues and optimizing performance. It is also advisable for platforms that provide built-in dashboards, real-time alerts and integration with popular observability solutions. This visibility is crucial for enhancing application reliability and supporting continuous improvement throughout the modernization journey. The ideal platform should also support robust customization and easy integration with other systems, APIs and third-party services to futureproof modernization efforts while empowering developers with the tools they seek and require. Portability is another critical factor when choosing an application platform for modernization, as it has direct impacts on an organization's ability to avoid vendor lock-in and maintain strategic flexibility. In practice, it is advisable to choose a solution that allows applications and data to be moved seamlessly between different environments and technology stacks without extensive rework or disruption. In particular, the right platform should allow teams to deploy and manage applications wherever suitable—on-premises, across multiple clouds or in hybrid environments. This flexibility is key to helping organizations meet data residency requirements and application needs while helping modernization strategies involving the transition from on-premises to cloud-native or cloud-first. Finally, it's important to evaluate the total cost of ownership (TCO) associated with a platform and whether it aligns with current budgets. In particular, organizations should evaluate the long-term operational expenses, including maintenance, support and scalability, in addition to the upfront expenditure. Legacy Java applications are not going away anytime soon. However, by prioritizing these criteria, organizations can rely on an application platform that not only addresses the immediate challenges of legacy modernization and application maintenance but also positions them for sustainable growth and innovation. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Al Bawaba
6 days ago
- Business
- Al Bawaba
Lenovo Hybrid AI Advantage Accelerates Enterprise AI Transformation with New Services, Solutions and Platforms
Lenovo today expanded Lenovo Hybrid AI Advantage™ with new advisory and implementation services, industry solutions and hybrid AI platforms that deliver the modern infrastructure and full-stack capabilities essential to transforming enterprise IT for the age of AI. With the expansion, Lenovo is delivering the complete framework for enterprises to build, scale and operate AI factories built on high-performance servers with accelerated computing, networking, and partner integrations. Together, the new validated solutions, services and platforms help businesses speed the deployment of purpose-built AI across all environments while unlocking faster business value with productivity, agility and to Lenovo's Global CIO Playbook, two-thirds of organizations have yet to see ROI from AI investments while struggling to scale effectively due to training, adoption and technical gaps. In addition, as AI budgets triple to nearly 20% of IT budgets in 2025, enterprise IT must modernize with infrastructure that delivers the efficiency, performance and scalability needed to achieve ROI.'Lenovo is leading hybrid AI with groundbreaking advancements in integrated solutions that are driving industry-wide innovation and making enterprise-level AI attainable for every business,' said Ashley Gorakhpurwalla, President, Infrastructure Solutions Group, Lenovo. 'With these solutions and trusted partnerships, Lenovo is turning AI into reality with use cases and services that have been tested and proven to drive measurable productivity gains, boost satisfaction, and unlock data for real business value faster.'Lenovo is leading this transformation with hybrid AI infrastructure, solutions and services for any workload, anytime and anywhere. Since announcing its billion-dollar investment in accelerating AI deployment for businesses around the world, Lenovo has continued with almost 40% year-over-year increase in customer adoptions Hybrid AI Advantage brings together the AI infrastructure, data, models, services and proven use cases to help businesses activate AI across their entire workforce, operations, and data footprint. With Lenovo services, AI-adoption frameworks for generative AI tools can accelerate productivity and efficiency with a 31% increase in time saved per week Services that Support Scalable InfrastructureDespite the rapid rise of AI in the workplace, half of employees feel they receive only moderate support for AI training3 — a critical gap that stalls adoption and delays ROI without structured enablement. Lenovo AI Adoption and Change Management Services are tailored to help organizations assess their AI readiness, upskill their workforce, boost engagement, and maximize ROI from their enterprise systems through persona-based change management and best practices. Key applications include:• Lenovo AI People Readiness Assessment: Assess employee readiness for AI transformation and identify targeted enablement strategies, personas, and high-impact use cases.• Persona-Based Training & Engagement: Tailor adoption programs based on employee roles to accelerate confidence, reduce resistance, and boost engagement.• Copilot Adoption: Equip employees to successfully integrate generative AI tools, like Copilot through targeted training, change planning, and productivity tracking.• AI Governance & Cultural Readiness: Help leadership and teams align on responsible AI use, overcome resistance, and embed AI-friendly ways of working.'AI adoption demands a clear strategy, trusted expertise, and the right technology mix that can accelerate time to value. With the Lenovo Hybrid AI Advantage, we are helping customers turn AI potential into real performance gains, enabling every part of the organization to work smarter, faster, and with greater confidence,' said Ken Wong, Executive Vice President and President, Solutions and Services Group, the new services, Lenovo has driven real, measurable outcomes across an extensive range of verticals while empowering teams to work confidently with AI. Recently, Lenovo accelerated a leading airline's AI-powered digital workplace transformation and increased operational efficiencies through a three-month advisory, plan and design program. Elsewhere, the services combined with Lenovo solutions are supercharging AI workflows for faster medical diagnoses, scientific discovery and manufacturing Industry Transformation with Validated, Purpose-Built AI SolutionsLenovo Hybrid AI Advantage empowers enterprises to move beyond experimentation and deliver measurable outcomes across their entire organization. To bridge the gap between AI ambition and real-world impact, businesses need trusted AI applications that address key business use cases and scale to support business workflows. Leveraging validated Lenovo AI Innovator designs with ISVs, new Lenovo Hybrid AI Advantage Solutions are easy to customize, performance-tuned and tested, delivering real business workflows and use cases on hybrid AI platforms:• Hospitality with Centific AI Data Foundry and NVIDIA: Enables hotels and resorts with capabilities that boost guest loyalty, optimize efficiency, and drive profitability. These include real-time personalization, streamlined operations, and data-driven insights. • Workplace Safety & PPE Compliance with Avathon Visual AI and NVIDIA: Powers real-time hazard and PPE compliance monitoring, to instantly detect safety risks, violations and hazardous behaviors. Working with existing camera infrastructure for seamless integration and deployment, the solution also automates corrective actions to prevent accidents.• Retail and Smart Spaces with WaitTime and Intel: Delivers real-time crowd analytics via Edge AI-based computer vision and transforms camera feeds into instant insights that drive revenue growth and enhance guest satisfaction by up to 30% in some deployments.• Quality Inspection with Trifork and NVIDIA: Delivers automated defect detection, on-device model retraining and transforms real-time sensor data into actionable insights on the factory Ecosystem Delivers the Hybrid AI Factory of Modern BusinessThe expansion builds on Lenovo partnerships with Cisco, IBM and NVIDIA, delivering new integrated solutions that accelerates global enterprise AI adoption. Built on advanced, energy-efficient AI infrastructure integrated with accelerated computing, networking, switching and software from industry-leading partners, new platforms help enterprises build, scale and operate hybrid AI factories:• New Lenovo ThinkSystem SR680a V4 system: Built to unleash AI's potential by delivering massive computational performance for model development, graphical and simulation workloads across any industry. The air-cooled system features Intel Xeon 6 CPUs and eight NVIDIA Blackwell GPUs interconnected with high-speed NVIDIA NVLink for unparalleled computational power and acceleration, as well as eight NVIDIA SuperNICs and an NVIDIA BlueField-3 DPU to accelerate network connectivity, data access and secure AI new system delivers up to 11x faster AI inferencing on large language models, as well as 7x computational capability and 4x more memory compared to previous generations.• Lenovo hybrid AI platform with IBM watsonx: The platform delivers ready-to-deploy, high-performance AI infrastructure, built on Lenovo ThinkSytem SR675 servers, Red Hat OpenShift, and NVIDIA, accelerating generative AI model development, deployment and governance.• Lenovo Hybrid AI platform with Cisco: The enhanced platform will support Cisco Nexus switches with NVIDIA Spectrum-X technology for boosting enterprise AI factory deployments, enabling 1.6x faster AI network performance and efficient networking management with Cisco Nexus Dashboard in a single design. The platform supports AI use cases as new, greenfield environments or extensions of existing IT infrastructure. Built on the powerful Lenovo ThinkSystem SR675 V3 server supporting up to eight NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA SuperNICs, and NVIDIA BlueField-3, the platform provides enterprises with a universal data center system to power AI factories — driving the shift from CPU-based systems to efficient GPU-accelerated infrastructure. Regardless of where enterprises are on their AI journey, Lenovo Hybrid AI Advantage solutions and services help customers achieve real business outcomes using trusted and proven AI infrastructure —whether just starting, scaling, or optimizing capabilities. Lenovo's end-to-end hybrid AI portfolio heralds a more democratized and personalized turning point for AI, with integrated solutions deployed on devices, on the edge, and in the cloud.
Tahawul Tech
6 days ago
- Business
- Tahawul Tech
Lenovo expands Hybrid AI Advantage in effort to help enterprises achieve ROI at scale
Lenovo has expanded Lenovo Hybrid AI Advantage™ with new advisory and implementation services, industry solutions and hybrid AI platforms that deliver the modern infrastructure and full-stack capabilities essential to transforming enterprise IT for the age of AI. With the expansion, Lenovo is delivering the complete framework for enterprises to build, scale and operate AI factories built on high-performance servers with accelerated computing, networking, and partner integrations. Together, the new validated solutions, services and platforms help businesses speed the deployment of purpose-built AI across all environments while unlocking faster business value with productivity, agility and trust. According to Lenovo's Global CIO Playbook, two-thirds of organizations have yet to see ROI from AI investments while struggling to scale effectively due to training, adoption and technical gaps. In addition, as AI budgets triple to nearly 20% of IT budgets in 2025, enterprise IT must modernize with infrastructure that delivers the efficiency, performance and scalability needed to achieve ROI. 'Lenovo is leading hybrid AI with groundbreaking advancements in integrated solutions that are driving industry-wide innovation and making enterprise-level AI attainable for every business,' said Ashley Gorakhpurwalla, President, Infrastructure Solutions Group, Lenovo. 'With these solutions and trusted partnerships, Lenovo is turning AI into reality with use cases and services that have been tested and proven to drive measurable productivity gains, boost satisfaction, and unlock data for real business value faster.' Lenovo is leading this transformation with hybrid AI infrastructure, solutions and services for any workload, anytime and anywhere. Since announcing its billion-dollar investment in accelerating AI deployment for businesses around the world, Lenovo has continued with almost 40% year-over-year increase in customer adoptions worldwide1. Lenovo Hybrid AI Advantage brings together the AI infrastructure, data, models, services and proven use cases to help businesses activate AI across their entire workforce, operations, and data footprint. With Lenovo services, AI-adoption frameworks for generative AI tools can accelerate productivity and efficiency with a 31% increase in time saved per week 2. AI-Enabling Services that Support Scalable Infrastructure Despite the rapid rise of AI in the workplace, half of employees feel they receive only moderate support for AI training3 — a critical gap that stalls adoption and delays ROI without structured enablement. Lenovo AI Adoption and Change Management Services are tailored to help organizations assess their AI readiness, upskill their workforce, boost engagement, and maximize ROI from their enterprise systems through persona-based change management and best practices. Key applications include: Lenovo AI People Readiness Assessment: Assess employee readiness for AI transformation and identify targeted enablement strategies, personas, and high-impact use cases. Assess employee readiness for AI transformation and identify targeted enablement strategies, personas, and high-impact use cases. Persona-Based Training & Engagement: Tailor adoption programs based on employee roles to accelerate confidence, reduce resistance, and boost engagement. Tailor adoption programs based on employee roles to accelerate confidence, reduce resistance, and boost engagement. Copilot Adoption: Equip employees to successfully integrate generative AI tools, like Copilot through targeted training, change planning, and productivity tracking. Equip employees to successfully integrate generative AI tools, like Copilot through targeted training, change planning, and productivity tracking. AI Governance & Cultural Readiness: Help leadership and teams align on responsible AI use, overcome resistance, and embed AI-friendly ways of working. 'AI adoption demands a clear strategy, trusted expertise, and the right technology mix that can accelerate time to value. With the Lenovo Hybrid AI Advantage, we are helping customers turn AI potential into real performance gains, enabling every part of the organization to work smarter, faster, and with greater confidence,' said Ken Wong, Executive Vice President and President, Solutions and Services Group, Lenovo. With the new services, Lenovo has driven real, measurable outcomes across an extensive range of verticals while empowering teams to work confidently with AI. Recently, Lenovo accelerated a leading airline's AI-powered digital workplace transformation and increased operational efficiencies through a three-month advisory, plan and design program. Elsewhere, the services combined with Lenovo solutions are supercharging AI workflows for faster medical diagnoses, scientific discovery and manufacturing outcomes. Driving Industry Transformation with Validated, Purpose-Built AI Solutions Lenovo Hybrid AI Advantage empowers enterprises to move beyond experimentation and deliver measurable outcomes across their entire organization. To bridge the gap between AI ambition and real-world impact, businesses need trusted AI applications that address key business use cases and scale to support business workflows. Leveraging validated Lenovo AI Innovator designs with ISVs, new Lenovo Hybrid AI Advantage Solutions are easy to customize, performance-tuned and tested, delivering real business workflows and use cases on hybrid AI platforms: Hospitality with Centific AI Data Foundry and NVIDIA: Enables hotels and resorts with capabilities that boost guest loyalty, optimize efficiency, and drive profitability. These include real-time personalization, streamlined operations, and data-driven insights. Enables hotels and resorts with capabilities that boost guest loyalty, optimize efficiency, and drive profitability. These include real-time personalization, streamlined operations, and data-driven insights. Workplace Safety & PPE Compliance with Avathon Visual AI and NVIDIA: Powers real-time hazard and PPE compliance monitoring, to instantly detect safety risks, violations and hazardous behaviors. Working with existing camera infrastructure for seamless integration and deployment, the solution also automates corrective actions to prevent accidents. Powers real-time hazard and PPE compliance monitoring, to instantly detect safety risks, violations and hazardous behaviors. Working with existing camera infrastructure for seamless integration and deployment, the solution also automates corrective actions to prevent accidents. Retail and Smart Spaces with WaitTime and Intel: Delivers real-time crowd analytics via Edge AI-based computer vision and transforms camera feeds into instant insights that drive revenue growth and enhance guest satisfaction by up to 30% in some deploymen Delivers real-time crowd analytics via Edge AI-based computer vision and transforms camera feeds into instant insights that drive revenue growth and enhance guest satisfaction by up to 30% in some deploymen Quality Inspection with Trifork and NVIDIA: Delivers automated defect detection, on-device model retraining and transforms real-time sensor data into actionable insights on the factory floor. Expanded Ecosystem Delivers the Hybrid AI Factory of Modern Business The expansion builds on Lenovo partnerships with Cisco, IBM and NVIDIA, delivering new integrated solutions that accelerates global enterprise AI adoption. Built on advanced, energy-efficient AI infrastructure integrated with accelerated computing, networking, switching and software from industry-leading partners, new platforms help enterprises build, scale and operate hybrid AI factories: New Lenovo ThinkSystem SR680a V4 system: Built to unleash AI's potential by delivering massive computational performance for model development, graphical and simulation workloads across any industry. The air-cooled system features Intel Xeon 6 CPUs and eight NVIDIA Blackwell GPUs interconnected with high-speed NVIDIA NVLink for unparalleled computational power and acceleration, as well as eight NVIDIA SuperNICs and an NVIDIA BlueField-3 DPU to accelerate network connectivity, data access and secure AI workloads. The new system delivers up to 11x faster AI inferencing on large language models, as well as 7x computational capability and 4x more memory compared to previous generations. Built to unleash AI's potential by delivering massive computational performance for model development, graphical and simulation workloads across any industry. The air-cooled system features Intel Xeon 6 CPUs and eight NVIDIA Blackwell GPUs interconnected with high-speed NVIDIA NVLink for unparalleled computational power and acceleration, as well as eight NVIDIA SuperNICs and an NVIDIA BlueField-3 DPU to accelerate network connectivity, data access and secure AI workloads. The new system delivers up to 11x faster AI inferencing on large language models, as well as 7x computational capability and 4x more memory compared to previous generations. Lenovo hybrid AI platform with IBM watsonx : The platform delivers ready-to-deploy, high-performance AI infrastructure, built on Lenovo ThinkSytem SR675 servers, Red Hat OpenShift, and NVIDIA, accelerating generative AI model development, deployment and governance. The platform delivers ready-to-deploy, high-performance AI infrastructure, built on Lenovo ThinkSytem SR675 servers, Red Hat OpenShift, and NVIDIA, accelerating generative AI model development, deployment and governance. Lenovo Hybrid AI platform with Cisco: The enhanced platform will support Cisco Nexus switches with NVIDIA Spectrum-X technology for boosting enterprise AI factory deployments, enabling 1.6x faster AI network performance and efficient networking management with Cisco Nexus Dashboard in a single design. The platform supports AI use cases as new, greenfield environments or extensions of existing IT infrastructure. Built on the powerful Lenovo ThinkSystem SR675 V3 server supporting up to eight NVIDIA RTX PRO 6000 Blackwell Server EditionGPUs, NVIDIA SuperNICs, and NVIDIA BlueField-3, the platform provides enterprises with a universal data center system to power AI factories — driving the shift from CPU-based systems to efficient GPU-accelerated infrastructure. Regardless of where enterprises are on their AI journey, Lenovo Hybrid AI Advantage solutions and services help customers achieve real business outcomes using trusted and proven AI infrastructure —whether just starting, scaling, or optimizing capabilities. Lenovo's end-to-end hybrid AI portfolio heralds a more democratized and personalized turning point for AI, with integrated solutions deployed on devices, on the edge, and in the cloud.
Yahoo
23-06-2025
- Business
- Yahoo
Lenovo Hybrid AI Advantage Accelerates Enterprise AI Transformation with New Services, Solutions and Platforms
New Lenovo AI Adoption & Change Management Services help workforces adopt AI confidently, speeding enterprise deployment and achieving ROI at scale New AI infrastructure solutions transform manufacturing, hospitality, retail and smart spaces Expanded Lenovo hybrid AI factory platforms with Cisco, IBM and NVIDIA empower enterprises to build, scale and operate AI anywhere RESEARCH TRIANGLE PARK, N.C., June 23, 2025--(BUSINESS WIRE)--Lenovo (HKSE: 992) (ADR: LNVGY) today expanded Lenovo Hybrid AI Advantage™ with new advisory and implementation services, industry solutions and hybrid AI platforms that deliver the modern infrastructure and full-stack capabilities essential to transforming enterprise IT for the age of AI. With the expansion, Lenovo is delivering the complete framework for enterprises to build, scale and operate AI factories built on high-performance servers with accelerated computing, networking, and partner integrations. Together, the new validated solutions, services and platforms help businesses speed the deployment of purpose-built AI across all environments while unlocking faster business value with productivity, agility and trust. According to Lenovo's Global CIO Playbook, two-thirds of organizations have yet to see ROI from AI investments while struggling to scale effectively due to training, adoption and technical gaps. In addition, as AI budgets triple to nearly 20% of IT budgets in 2025, enterprise IT must modernize with infrastructure that delivers the efficiency, performance and scalability needed to achieve ROI. "Lenovo is leading hybrid AI with groundbreaking advancements in integrated solutions that are driving industry-wide innovation and making enterprise-level AI attainable for every business," said Ashley Gorakhpurwalla, President, Infrastructure Solutions Group, Lenovo. "With these solutions and trusted partnerships, Lenovo is turning AI into reality with use cases and services that have been tested and proven to drive measurable productivity gains, boost satisfaction, and unlock data for real business value faster." Lenovo is leading this transformation with hybrid AI infrastructure, solutions and services for any workload, anytime and anywhere. Since announcing its billion-dollar investment in accelerating AI deployment for businesses around the world, Lenovo has continued with almost 40% year-over-year increase in customer adoptions worldwide1. Lenovo Hybrid AI Advantage brings together the AI infrastructure, data, models, services and proven use cases to help businesses activate AI across their entire workforce, operations, and data footprint. With Lenovo services, AI-adoption frameworks for generative AI tools can accelerate productivity and efficiency with a 31% increase in time saved per week 2. AI-Enabling Services that Support Scalable Infrastructure Despite the rapid rise of AI in the workplace, half of employees feel they receive only moderate support for AI training3 — a critical gap that stalls adoption and delays ROI without structured enablement. Lenovo AI Adoption and Change Management Services are tailored to help organizations assess their AI readiness, upskill their workforce, boost engagement, and maximize ROI from their enterprise systems through persona-based change management and best practices. Key applications include: Lenovo AI People Readiness Assessment: Assess employee readiness for AI transformation and identify targeted enablement strategies, personas, and high-impact use cases. Persona-Based Training & Engagement: Tailor adoption programs based on employee roles to accelerate confidence, reduce resistance, and boost engagement. Copilot Adoption: Equip employees to successfully integrate generative AI tools, like Copilot through targeted training, change planning, and productivity tracking. AI Governance & Cultural Readiness: Help leadership and teams align on responsible AI use, overcome resistance, and embed AI-friendly ways of working. "AI adoption demands a clear strategy, trusted expertise, and the right technology mix that can accelerate time to value. With the Lenovo Hybrid AI Advantage, we are helping customers turn AI potential into real performance gains, enabling every part of the organization to work smarter, faster, and with greater confidence," said Ken Wong, Executive Vice President and President, Solutions and Services Group, Lenovo. With the new services, Lenovo has driven real, measurable outcomes across an extensive range of verticals while empowering teams to work confidently with AI. Recently, Lenovo accelerated a leading airline's AI-powered digital workplace transformation and increased operational efficiencies through a three-month advisory, plan and design program. Elsewhere, the services combined with Lenovo solutions are supercharging AI workflows for faster medical diagnoses, scientific discovery and manufacturing outcomes. Driving Industry Transformation with Validated, Purpose-Built AI Solutions Lenovo Hybrid AI Advantage empowers enterprises to move beyond experimentation and deliver measurable outcomes across their entire organization. To bridge the gap between AI ambition and real-world impact, businesses need trusted AI applications that address key business use cases and scale to support business workflows. Leveraging validated Lenovo AI Innovator designs with ISVs, new Lenovo Hybrid AI Advantage Solutions are easy to customize, performance-tuned and tested, delivering real business workflows and use cases on hybrid AI platforms: Hospitality with Centific AI Data Foundry and NVIDIA: Enables hotels and resorts with capabilities that boost guest loyalty, optimize efficiency, and drive profitability. These include real-time personalization, streamlined operations, and data-driven insights. Workplace Safety & PPE Compliance with Avathon Visual AI and NVIDIA: Powers real-time hazard and PPE compliance monitoring, to instantly detect safety risks, violations and hazardous behaviors. Working with existing camera infrastructure for seamless integration and deployment, the solution also automates corrective actions to prevent accidents. Retail and Smart Spaces with WaitTime and Intel: Delivers real-time crowd analytics via Edge AI-based computer vision and transforms camera feeds into instant insights that drive revenue growth and enhance guest satisfaction by up to 30% in some deployments. Quality Inspection with Trifork and NVIDIA: Delivers automated defect detection, on-device model retraining and transforms real-time sensor data into actionable insights on the factory floor. Expanded Ecosystem Delivers the Hybrid AI Factory of Modern Business The expansion builds on Lenovo partnerships with Cisco, IBM and NVIDIA, delivering new integrated solutions that accelerates global enterprise AI adoption. Built on advanced, energy-efficient AI infrastructure integrated with accelerated computing, networking, switching and software from industry-leading partners, new platforms help enterprises build, scale and operate hybrid AI factories: New Lenovo ThinkSystem SR680a V4 system: Built to unleash AI's potential by delivering massive computational performance for model development, graphical and simulation workloads across any industry. The air-cooled system features Intel Xeon 6 CPUs and eight NVIDIA Blackwell GPUs interconnected with high-speed NVIDIA NVLink for unparalleled computational power and acceleration, as well as eight NVIDIA SuperNICs and an NVIDIA BlueField-3 DPU to accelerate network connectivity, data access and secure AI workloads. The new system delivers up to 11x faster AI inferencing on large language models, as well as 7x computational capability and 4x more memory compared to previous generations. Lenovo hybrid AI platform with IBM watsonx: Is based on a new integration with IBM watsonx technologies and Lenovo ThinkSystem SR675 servers. The availability of the new validated design will help organizations unlock the power of AI and accelerate time to value. The platform delivers ready-to-deploy, high-performance AI infrastructure, Red Hat OpenShift, and NVIDIA, accelerating generative AI model development, deployment and governance. Lenovo Hybrid AI platform with Cisco: The enhanced platform will support Cisco Nexus switches with NVIDIA Spectrum-X technology for boosting enterprise AI factory deployments, enabling 1.6x faster AI network performance and efficient networking management with Cisco Nexus Dashboard in a single design. The platform supports AI use cases as new, greenfield environments or extensions of existing IT infrastructure. Built on the powerful Lenovo ThinkSystem SR675 V3 server supporting up to eight NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA SuperNICs, and NVIDIA BlueField-3, the platform provides enterprises with a universal data center system to power AI factories — driving the shift from CPU-based systems to efficient GPU-accelerated infrastructure. Regardless of where enterprises are on their AI journey, Lenovo Hybrid AI Advantage solutions and services help customers achieve real business outcomes using trusted and proven AI infrastructure —whether just starting, scaling, or optimizing capabilities. Lenovo's end-to-end hybrid AI portfolio heralds a more democratized and personalized turning point for AI, with integrated solutions deployed on devices, on the edge, and in the cloud. Explore more hybrid AI solutions and see how Lenovo is powering the future of modern business at About Lenovo Lenovo is a US$69 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). LENOVO and THINKSYSTEM are trademarks of Lenovo. NVIDIA and RTX are trademarks of NVIDIA Corporation, Inc. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. All other trademarks are the property of their respective owners. ©2025 Lenovo Group Limited. All rights reserved. 1 Based on June 2025 Lenovo analysis of internal customer order data2 Based on internal data from Lenovo's Service Delivery team3 McKinsey & Company, Superagency in the Workplace, Jan. 2025 View source version on Contacts WorldwideZeno Group, LenovoISG@ Claire Simmons, csimmons1@ EMEAElla Hulbert, ehulbert@ APACShonali Chakravarty, schakravarty@ LATAMValkiria Suzuki, vsuzuki@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Al Bawaba
19-06-2025
- Business
- Al Bawaba
IT Leaders optimistic on Agentic AI, but Concerned by Organizational Readiness, Research Reveals
As AI adoption accelerates and cyber threats increase, nearly 8 in 10 IT security leaders recognize their security practices need transformation. Salesforce's latest State of IT data also reveals unanimous optimism about AI agents, with 100% of security leaders identifying at least one security concern that could be improved by despite this hope, the global survey of over 2,000 enterprise IT security leaders highlights significant implementation challenges ahead. Nearly half (48%) worry their data foundation isn't set up to get the most out of agentic AI, and over half (55%) aren't fully confident they have the appropriate guardrails to deploy AI it matters: Both the professionals charged with protecting a company's data and systems and the bad actors looking to exploit vulnerabilities are increasingly adding AI to their toolkits. Autonomous AI agents, which help security teams cut down on manual work, can free up humans' time for more complex problem solving. However, agentic AI deployments require robust data infrastructure and governance to be perspective: 'Trusted AI agents are built on trusted data. IT security teams that prioritize data governance will be able to augment their security capabilities with agents while protecting data and staying compliant,' said Alice Steinglass, EVP & GM, Salesforce Platform, Integration and Alkhotani, SVP and GM, Salesforce Middle East, said: 'The latest State of IT report is a cause for both optimism and concern, and also aligns with the concerns we see among organizations in the Middle East. While the research underscores the confidence that organizations have in agentic AI to improve key aspects of their operations and processes, it also reveals significant concerns that must be addressed: It is clear that many IT security leaders are concerned about issues including the readiness of their organization's data foundation for AI, the state of their guardrails to deploy AI agents, and the potential for compliance challenges stemming from AI. Amid these anxieties, it is vital that organizations in the Middle East work with a trusted partner such as Salesforce, enabling them scale up agentic AI quickly, effectively, and ethically.'Security budgets ramp up as threats evolveIn addition to a familiar slate of risks like cloud security threats, malware, and phishing attacks, IT leaders now cite data poisoning — in which malicious actors compromise AI training data sets — among their top concerns. Resources are rising in response: 75% of organizations expect to increase security budgets over the coming regulatory environments add a wrinkle to AI implementationWhile four-fifths of IT security leaders believe AI agents offer compliance opportunities, such as improving adherence to global privacy laws, nearly as many (79%) say they also present compliance challenges. This may stem in part from an increasingly complex and evolving regulatory environment across geographies and industries, and is hampered by compliance processes that remain largely unautomated and prone to error.• Just 47% are fully confident they can deploy AI agents in compliance with regulations and standards.• 83% of organizations say they haven't fully automated their compliance is a cornerstone of successful AI, yet confidence is nascentA recent consumer study found that trust in companies is on a precipitous decline, and three-fifths (60%) agree that advances in AI make a business's trustworthiness more critical. Furthermore, only 42% of consumers trust companies to use AI ethically, a decrease from 58% in 2023. IT security leaders see work to be done in earning this critical trust.• 57% aren't fully confident in the accuracy or explainability of their AI outputs.• 60% don't provide full transparency into how customer data is used in AI.• 59% haven't perfected their ethical guidelines for AI governance is a linchpin in enterprises' agentic evolutionNearly half of IT security leaders aren't sure they have the quality data to underpin agents, or that they could deploy the technology with the right permissions, policies, and guardrails, but progress is being made. A recent survey of CIOs found that four times as much budget was allocated to data infrastructure and management than AI, a signal that organizations were smartly laying the right groundwork for broader agents offer a salve as adoption ramps upAccording to the State of IT research, over 40% of IT security teams already use agents in their day-to-day operations — a figure that's anticipated to nearly double over the next two years. IT security leaders expect a range of benefits as their use of agents ramps up, ranging from threat detection to sophisticated auditing of AI model performance. Three quarters (75%) expect to use AI agents within two years — up from 41% overhauls are on tapIn addition to the steps these teams must take to shore up their data foundations for the agentic era, over half admit they have work to do to bring their overall security and compliance practices up to par. Forty-seven percent believe their security and compliance practices are fully prepared for AI agent development and customer view: Arizona State University (ASU) is among the first universities to leverage Agentforce, Salesforce's digital labor platform for augmenting teams with trusted autonomous AI agents in the flow of work. ASU stresses the need for data relevancy, especially as the university advances its AI initiatives. ASU implemented Salesforce-acquired Own backup, recovery, and archiving solutions, providing ASU with a comprehensive approach to data management, addressing their needs for backup, recovery, compliance, and innovation deeper:• Read the full State of IT: Security report• Learn how Salesforce is powering a smarter agentic future with new governance enhancements• Discover additional State of IT insights from the developer perspective• Read more on why trust and guardrails are even more critical in the age of AIMethodology: Data is sourced from a security, privacy, and compliance leader segment of a double-anonymous survey of IT decision-makers conducted from December 24, 2024 through February 3, 2025. Respondents represented Australia, Belgium, Brazil, Canada, Denmark, Finland, France, Germany, India, Indonesia, Ireland, Israel, Italy, Japan, Mexico, the Netherlands, New Zealand, Norway, Portugal, Singapore, South Korea, Spain, Sweden, Switzerland, Thailand, the United Arab Emirates, the United Kingdom, and the United States.
