Lenovo Accelerates Enterprise AI Transformation With New Applications
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 worldwide .
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 .
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 training — 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: Based on a new integration with IBM watsonx technologies and Lenovo ThinkSystem SR675 servers, the platform delivers ready-to-deploy, high-performance AI infrastructure, Red Hat OpenShift and NVIDIA, accelerating generative AI model development, deployment and governance. The availability of a new validated design will help clients accelerate time to value for Generative AI. 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.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Zawya
a day ago
- Zawya
ONVIF and the C2PA announce collaboration to strengthen trust in digital video
ONVIF®, the leading global standardization initiative for IP-based physical security products, has announced that it has entered into a strategic collaboration with the Coalition for Content Provenance and Authenticity (C2PA) to preserve the integrity and authenticity of digital video in the evolving fight against content manipulation. The two groups will work together to raise awareness and promote the adoption of open standards that help verify the authenticity of video content across digital video platforms. This initiative aligns the ONVIF video authentication specification with Content Credentials, the open standard published by the C2PA, which is comprised of Microsoft, Adobe, Google, Meta, BBC, and Truepic. Content Credentials enhances transparency and establishes end-to-end confidence in the authenticity of digital assets. This collaboration comes at a time when synthetic media, deepfakes, and AI-generated content are becoming increasingly indistinguishable from authentic footage. The tools that create this fake content pose a significant risk to public trust in video used for law enforcement, corporate security, and legal proceedings as well as in a wide range of digital media products. 'We are happy to welcome ONVIF as a liaison member to the C2PA,' said Andrew Jenks, Executive Chair of the C2PA. 'As the global standard for provenance, Content Credentials plays a vital role in providing transparency in digital media. The collaboration with ONVIF and the C2PA brings Content Credentials to video security – an environment where footage must reflect reality without alteration. We're excited about our work together and the impact of our global, open standards.' The video authentication specification developed by ONVIF, known as media signing, ensures that video footage is cryptographically signed at the point of capture with a digital key specific to the individual surveillance camera. The signatures are embedded in the video, enabling an authentication tool to verify whether video frames – throughout the chain of custody – have been modified or manipulated since they left the camera. This is critical for video used in court proceedings, law enforcement investigations, and corporate security incidents, where any doubts about the validity of video evidence can undermine outcomes and erode institutional trust. The C2PA's core specification, Content Credentials, is a technical standard that allows publishers, creators, and consumers to trace the lifecycle of media, beginning from production (such as which camera captured an image, whether it was edited, and when) to consumption (displaying this information on the website or platform where the content appears). Content Credentials embed cryptographically signed, tamper-evident metadata directly into images, video, audio, and documents or stored in a manifest that travels with the content, making any alteration detectable. This metadata acts like a digital 'nutrition label,' detailing the content's origin, history, and any modifications made. 'Preserving the authenticity of video has never been more important as the threats from generative AI and other means of content manipulation continue to increase exponentially, regardless of industry and use case,' said Leo Levit, Chairman, Steering Committee, ONVIF. 'The work of ONVIF to preserve video integrity and the recognition by the C2PA will help build user confidence that recorded video can be verified as genuine and untampered.' ONVIF is a leading and well-recognized industry forum driving interoperability for IP-based physical security products, with a global member base of established camera, video management system and access control companies and nearly 34,000 profile conformant products. ONVIF offers Profile S for streaming video; Profile G for video recording and storage; Profile C for physical access control; Profile A for broader access control configuration; Profile T for advanced video streaming; Profile M for metadata and events for analytics applications and Profile D for access control peripherals. ONVIF continues to work with its members to expand the number of IP interoperability solutions ONVIF conformant products can provide. Further information about ONVIF conformant products, including member companies and their conformant models, is available on the ONVIF website:
TECHx
a day ago
- TECHx
Why Generative AI Isn't a Silver Bullet for Healthcare
Home » Smart Sectors » Healthcare » Why Generative AI Isn't a Silver Bullet for Healthcare Generative AI is revolutionizing healthcare, but challenges remain. Ashley Woodbridge, Lenovo CTO META, explores why it's no silver bullet. The healthcare sector is on the brink of a significant surge in AI investment, projected to rise by an astounding 169% over the next year – the highest increase among all industries surveyed in EMEA. The uptick follows the promising early results of AI projects, where a remarkable 74% of healthcare AI pilot projects have met or exceeded expectations, with 13% surpassing them. Yet, despite this positive momentum, only 2% of healthcare organisations have actively deployed AI at scale with the majority of initiatives remaining in the pilot or planning stages. This raises the question: how can the industry and its partners move beyond this plateau? What is Generative AI Doing? For most people, their experience of Generative AI (GenAI), has been through conversations with chatbots, creating new content or summarising data. These lighter use cases have highlighted numerous challenges that must be addressed before widespread adoption can occur, especially in highly regulated industries like healthcare. One of the primary obstacles identified in the region wide survey is data quality. AI models, including GenAI, are only as effective as the data they are trained on. In healthcare, data often exists in silos, across incompatible systems, and in formats that are difficult to interpret. There are also important patient data privacy considerations to take into account. Despite the complexity involved in sorting and standardising this data, the potential benefits of tackling these issues and making it useable by AI are immense. For example, tools like Epic's 'Slicerdicer' allow healthcare professionals to query large datasets through conversational interfaces, uncovering important trends in patient outcomes and informing better care. The depth of queries is particularly powerful, allowing healthcare providers to uncover trends amongst patients that share a condition or illness that may have otherwise remained hidden. Taking the technology in a different direction, AI-powered 'ambient digital scribes' are being trialled by NHS doctors in the UK. These systems listen to patient appointments and automatically generate clinical notes, saving hours of administrative work and helping to reduce burnout among medical staff. However, healthcare providers must tread carefully. Public sentiment towards AI in healthcare remains cautious. Only 28% of people aged over 60 feel comfortable with AI technologies being used in their care, and 75% of consumers overall want to be informed if AI is being used in their healthcare communications. Transparency is critical. For AI to enhance patient experience without undermining it, trust must be maintained. In countries like the UAE and Saudi Arabia, AI algorithms are enhancing radiology by assisting in the analysis of medical images, enabling quicker and more accurate detection of conditions such as lung cancer. Predictive analytics are being utilized for real-time patient monitoring, allowing healthcare providers to intervene early in critical situations. Generative AI is also making strides in drug discovery, particularly in Qatar, where researchers are modelling molecular interactions to accelerate the development of new therapies. Additionally, AI-powered chatbots and virtual health assistants are streamlining telemedicine services, providing preliminary diagnoses and scheduling appointments, thus improving access to care. AI's Role in Medical Research Beyond frontline care, GenAI is turbocharging work in the field of medical research. Earlier this year, a researcher at Imperial College London used an AI tool developed by Google to investigate why certain bacteria are resistant to antibiotics. In just 48 hours, the tool proposed four viable hypotheses, whereas it had taken scientists over a decade to finalise just a single hypothesis manually. The result was so astonishing that the original researcher initially suspected the AI had accessed unpublished work on his personal computer, which was proven not to have been the case. These breakthroughs are being made possible thanks to the high-performance computing systems behind increasingly powerful AI models. At Lenovo, we are proud to partner with the Broad Institute on genome analysis, helping researchers accelerate one of the most data-intensive tasks in science. The Lenovo Genomics Optimization and Scalability Tool (GOAST) reduces the time needed to analyse a whole human genome from over 100 hours to just 47 minutes. Other organizations are also harnessing advanced AI and computing tools to push the boundaries of healthcare. Hungarian company 3DHISTECH, for example, uses Lenovo's AMD Threadripper-powered ThinkStation P620 workstations to build detailed 3D virtual models of human and non-human tissue. These models can zoom in to the level of individual chromosomes, enabling new frontiers in digital pathology. Their systems are used by institutions around the world, including Harvard Medical School, Novartis, and the Wuhan Institute of Virology. Notably, a 3DHISTECH system played a pivotal role in diagnosing the first COVID-19 patient in China, demonstrating how AI-enabled technology can impact global health crises. The Human Element Remains Crucial While AI offers compelling advantages, it's important to remember that technology alone isn't the answer. The human touch in healthcare remains indispensable. Healthcare providers must ensure transparency in their AI implementations and address data quality issues to fully reap the benefits of AI. By doing so, they can enhance patient care, reduce burnout among medical staff, and drive groundbreaking research, all without sacrificing the trust and comfort of those they serve. In conclusion, the healthcare industry stands at the brink of an AI-driven revolution. With thoughtful implementation and a focus on maintaining trust, AI has the potential to transform healthcare for the better. The journey won't be without its challenges, but the rewards promise to be well worth the effort. By Ashley Woodbridge, CTO, Lenovo, META
The National
2 days ago
- The National
Rare earths and real risk: Why the global supply chain needs a rethink
They are buried in our smartphones, embedded in EV motors, and essential to jet engines and wind turbines. Yet most people could not name a single rare earth element. This quiet invisibility belies their strategic importance. As the world accelerates towards a more digital and electrified future, rare earths have become indispensable – and increasingly, a source of geopolitical friction. The global supply chain behind these elements is under pressure. China currently produces nearly 70 per cent of rare earth ores and holds more than 95 per cent of global refining and separation capacity. For heavy rare earths, that number is closer to total control. This concentration gives China significant influence over price, availability and access to materials that power the energy transition and advanced defence technologies. In short, it is not just an economic advantage. It is a position of systemic control. But the challenges do not end with geographic concentration. The industry also struggles with what is known as the 'balance problem'. Not all rare earths are created equal. High-demand elements like neodymium and praseodymium, crucial for permanent magnets in electric vehicles and wind turbines, are co-mined with lower-demand elements such as cerium and lanthanum. Producers must extract and process everything, regardless of market demand. That creates inefficiencies, price distortions and sustainability concerns. This imbalance has strategic consequences. Without careful co-ordination, demand for magnet rare earths could outpace supply within the next decade. That does not mean catastrophe, but it does mean rising costs, tighter margins, and a squeeze on industries that depend on long-term stability. Momentum is finally shifting. As the urgency to diversify supply chains intensifies, ion adsorption clay (IAC) deposits have come into focus – and not just in China and Myanmar, where they have long been tapped. Exploration efforts are under way in countries like Brazil, Uganda and South-east Asia, offering new access to heavy rare earths. Unlike traditional hard-rock mines, IAC operations can reach production in just four to seven years, giving them a distinct strategic and commercial advantage. Refining is the next major hurdle. Mining rare earths without the ability to refine them only shifts the bottleneck, it does not solve it. Today, the vast majority of REE concentrates – even those mined outside China – are still sent back for processing. But that is beginning to change. Companies like Lynas in Malaysia, MP Materials in the US, and Neo Performance Materials in Estonia are building local refining capacity. These efforts mark early steps towards a more regionally balanced and secure supply chain. Innovation is also reshaping what's possible across the value chain. Manufacturing techniques like grain boundary diffusion allow for the reduction of dysprosium and terbium usage without compromising performance – a potential game changer given their sensitivity to supply shocks. Meanwhile, magnet recycling and by-product recovery from sources like phosphogypsum offer alternative streams of material with lower environmental impact. A co-ordinated, multinational response is essential. The US, Japan and Australia have launched public-private initiatives to diversify rare earth supply chains and strengthen refining capabilities. It is not just about securing raw materials. It is about ensuring that economic resilience and national security are not tied to a single point of failure. For those deeply involved in the rare earth ecosystem, from miners and refiners to end users and policymakers, the issues at stake go well beyond geology or engineering. They are a test of foresight and preparedness. The companies and countries that invest, innovate, and collaborate today will be the ones best positioned to thrive in the next era of industrial transformation. The 20th century was powered by oil. The 21st will be driven by rare earths. Those who recognise this early and act decisively will shape the future.
