Tech News
95% of Enterprises Have Delayed AI Projects as Infrastructure Limitations Spark “The Great AI Re-Architecture,” New Cloudera Report Finds
Cloudera, the only company bringing AI to data anywhere, today released its latest global survey, The Great AI Re-Architecture, revealing a fundamental shift in enterprise IT as organizations redesign their data architectures to meet the demands of AI. Based on responses from 1,500 Enterprise Architects, Cloud Infrastructure Leads, and Data Architects worldwide, the report finds that while AI adoption has become mainstream, legacy data architectures are increasingly limiting organizations’ ability to scale AI securely, efficiently, and cost-effectively.
The findings point to a fundamental shift in enterprise IT architecture. While 77% of organizations are actively using AI, nearly all (95%) have delayed or canceled AI initiatives over the past year because of data governance, compliance, or regulatory challenges. To overcome these challenges, 72% say their current data architecture requires a significant overhaul to meet future AI requirements, suggesting today’s infrastructure was not built for the demands of modern AI.
Together, these findings highlight what Cloudera calls “The Great AI Re-Architecture”—the mass transition from legacy data architectures toward hybrid environments that enable organizations to bring trusted AI to trusted data, wherever it resides.
“This current era of AI is forcing organizations to rethink the foundations of their technology infrastructure,” said Sergio Gago, Chief Technology Officer at Cloudera. “Many enterprises are discovering that the architectures built for traditional analytics weren’t designed for the scale, governance, and flexibility AI demands today. Success will depend on building a data foundation that gives organizations the freedom to run AI wherever it makes the most sense, without compromising control or security.”
AI Is Driving an Enterprise Infrastructure Reset
AI has moved well beyond isolated pilot projects and is now embedded across enterprise operations. As organizations expand AI across the business, they’re placing mounting pressure on infrastructure that was never designed for AI at scale.
Three-quarters (75%) of respondents say AI integrations have changed their organization’s data storage and architecture practices, while 84% report increased infrastructure costs driven by AI workloads. Together, these findings suggest organizations are rethinking not only where data lives, but how it is managed, governed, and delivered to AI systems.
Governance Is Critical Infrastructure
As organizations scale AI, governance is becoming foundational to enterprise AI success. Earlier this year, Cloudera’s Data Readiness Index found that 75% of organizations said AI is exposing the limitations of their legacy governance processes. This latest research suggests those challenges are only intensifying as AI adoption grows.
Nearly three-quarters (73%) of respondents say AI has made data governance more complex, and more than half (55%) report delaying or canceling more than six AI projects over the past 12 months due to governance, compliance, or regulatory challenges.
The challenge is compounded by increasingly distributed data. Nearly every respondent (97%) reports moving data between environments at least monthly, making consistent governance across cloud, private cloud, on-premises, and edge environments essential for scaling AI securely.
Hybrid Architectures Become the New Enterprise Standard
Organizations are increasingly adopting hybrid architectures to balance performance, governance, cost, and flexibility, all of which are critical to modern AI success.
Two-thirds (66%) of respondents say they have moved AI workloads from public cloud environments back to private cloud or on-premises infrastructure during the past year, signaling a broader shift toward hybrid architectures that allow organizations to run AI workloads where they perform best.
Looking ahead, organizations are investing across cloud, on-premises, edge, and hybrid environments rather than relying on a single deployment model. One-quarter (25%) say they plan to prioritize a hybrid-first architecture over the next two years, reinforcing that the future of enterprise AI will be defined, in part, by flexibility rather than a single infrastructure strategy.
The Future of Enterprise AI Depends on Hybrid Data Architectures
AI adoption is no longer the differentiator; AI optimization is. Organizations that modernize their data architectures to govern data consistently and run AI wherever it makes the most sense will be well positioned to deliver scalable, secure AI and lasting business value.
As these themes take center stage at Cloudera EVOLVE Singapore next week, read the full report to learn how organizations are preparing their data foundations for enterprise AI.
Methodology
The survey, commissioned by Cloudera and fielded by Wakefield Research (www.wakefieldresearch.com) among 1,500 Enterprise Architects, Cloud Infrastructure Leads, and Data Architects at companies with a minimum size requirement of 1,000 employees in all markets except Spain, Singapore, and South Africa, for which the company size minimum is 250 employees. The research was conducted in 3 Regions and 9 markets: Americas (U.S. (n600), Canada (n100), Brazil (n100)), EMEA (South Africa (n100), Spain (n100), U.K. (n200)), and APAC (Singapore (n100), India (n100), Japan (n100)) between June 5th and June 22nd, 2026, using an email invitation and an online survey.
Tech News
Cambridge Health Group and Heriot-Watt University to advance research and innovation in the GCC
Cambridge Health Group (“CHG an international specialist healthcare group providing post-acute care and a subsidiary of Amanat Holdings PJSC (“Amanat”), has signed a three-year Memorandum of Understanding (MoU) with Heriot-Watt University (“Heriot-Watt”) to advance academic research in rehabilitation, long-term care and specialised care.
The agreement brings together CHG’s clinical expertise in long-term care and post-acute rehabilitation across six facilities in the UAE and Saudi Arabia with Heriot-Watt University’s pioneering research in healthy ageing, rehabilitation robotics and assistive technologies. Through its Global Research Institute in Health and Care Technologies and the National Robotarium, Heriot-Watt combines expertise in engineering, artificial intelligence and behavioural science to address complex challenges in health and care. Heriot-Watt’s global presence spans five campuses across Scotland, Dubai and Malaysia, with plans to establish a further campus in Saudi Arabia.
Together, the organisations will connect research with clinical practice, creating opportunities to develop and evaluate innovations that support rehabilitation, maximise independence and improve quality of life for people with complex, long-term care needs. The partners will also pursue national and international research grants, including collaboration with government and industry partners.
The partnership will also support the development of the region’s specialist healthcare workforce through academic training, executive education and tailored development programmes. These will include postgraduate research supervision, internships, industry placements and mentoring, helping connect academic learning with practical experience.
Professor Dame Heather McGregor, member of Heriot-Watt University’s Executive, said: “Universities have an important role in ensuring that research responds to the needs of society and that its benefits extend beyond academia. Our partnership with Cambridge Health Group brings our researchers closer to the questions and challenges shaping healthcare practice, creating opportunities to translate knowledge into meaningful improvements in care. Through education, professional development and practical experience, we look forward to supporting the skills and expertise the region will need as its healthcare sector continues to evolve. We look forward to doing meaningful work together.”
Wael K. Abdallah, Group Chief Executive Officer of Cambridge Health Group, said: “As healthcare systems across the region evolve, advancing specialised care will increasingly depend on our ability to connect research, clinical expertise and real-world healthcare needs. At Cambridge Health Group, we see research and innovation as important enablers of better care outcomes and the continued development of post-acute healthcare across the GCC. Our collaboration with Heriot-Watt creates opportunities to bring academic expertise closer to clinical practice, strengthen the capabilities of our workforce and contribute to the long-term advancement of the sector.”
The partnership represents a step towards translating research into practical advances in specialised care, with the potential to benefit patients, healthcare professionals and the wider sector.
Tech News
Leading AI Builders Make Massive Commitments on VAST-Powered Infrastructure
On the back of the biggest buildout in data infrastructure history, VAST Data, the AI Operating System company, today announced that it is at the center of many of the largest deployments in this space. In the first three quarters of the current fiscal year, just 14 of the more than 1,000 companies VAST serves have made more than $10 billion in aggregate commitments for VAST Data software and supporting platform hardware. The scale and breadth of these investments have no known precedent in the history of data infrastructure and signal that VAST is leading the world in this explosive buildout of superintelligent systems.
The VAST AI OS is the platform of choice for leading AI clouds and frontier AI labs to enable scalable AI training and inference. In 2026, the expansion of AI use cases and the realization of the value of superintelligent systems has reinforced the mandate for organizations to build with industrial-grade storage and database infrastructure to support GPUs and AI accelerators.
The progress VAST has made:
- 14 customers have each committed over $100M in VAST Data-powered system build outs
- Four of those 14 customers have each committed over $1B this year
- VAST Data-powered systems now support 9 of the top 10 frontier AI labs
“Growth at this scale only happens when an entire industry is rebuilding at once,” said Renen Hallak, Founder and CEO of VAST Data. “That’s what the new AI stack is. It’s being built for models and agents, not people and applications, and data sits at the center of it. The companies building it at the largest scale, for people, agents and now robots, are choosing VAST to anchor it.”
Supply Aligned Through 2029
The scale of data capacity VAST’s partners are delivering is unprecedented, and is now representing a significant percentage of the overall global NAND flash produced for enterprise data centers. At a time of such extreme supply chain pressure, VAST is also now taking steps to ensure the next phase of superintelligent system buildout. Increased flash supply takes years to bring online due to the investments in NAND fabs.
Because VAST is partnered with so many of the world’s AI builders, VAST has unique visibility into where capacity demand is headed. The company has structured agreements with its supply chain partners to align more than 200 exabytes of flash capacity through 2029. This forward planning supports VAST’s scaling objectives for the next several years, maps to the growth outlook of its largest customers and helps the AI clouds, labs, enterprises and government organizations building on the VAST AI OS plan their infrastructure with confidence.
“Planning for hundreds of exabytes isn’t only about protecting our customers’ growth projections,” said Jeff Denworth, Co-Founder of VAST Data. “It’s about keeping flash available to hundreds of clouds, so that every AI builder, not just the largest, has the capacity it needs to build and compete.”
Tech News
Cloudera to Tackle the Enterprise AI Governance Gap at GITEX Global 2026
Cloudera, the only data and AI platform trusted by organisations to bring AI to their data, announced its participation at GITEX Global 2026, the Middle East’s premier technology showcase.
As AI adoption accelerates across the Middle East, businesses must ensure their data is accessible, well governed, and secure to support AI advancements. Organizations who handle sensitive data carefully consider where AI workloads run and how data is managed across their public cloud, private cloud, and on-premises environments.
The UAE’s focus on sovereign AI and a secure digital environment is driven by nationwide digital-first initiatives. The UAE’s cloud computing market is projected to reach $23 billion by 2032, due to numerous government mandates for sovereign cloud adoption across the public sector.
Alongside these mandates, enterprises within the region are adopting similar sovereignty principles. Organizations are looking to transition their AI workloads from public clouds to private or on-premises environments. However, this migration exposes a critical infrastructure challenge as legacy systems often confine valuable information in isolated data silos.
The impact of these silos is evident in Cloudera’s recent Data Readiness Index, which reveals that while 91% of IT leaders across EMEA express confidence in their data, only 26% report that it is fully governed. To dismantle these barriers and bridge the gap between AI and data readiness, Cloudera introduces Cloudera Anywhere Cloud, a modular hybrid platform engineered specifically for the agentic era.
“Our participation at GITEX Global 2026 comes at a time when organisations are looking more closely at how they manage data and deploy AI,” said Ahmad Shakora, Group Vice President, Cloudera Middle East. “Our work with global technology providers and regional partners reflects the different requirements businesses face, from accessing AI models to managing data across hybrid and sovereign environments.”
To further strengthen its regional ecosystem, Cloudera has forged strategic alliances, including Mistral AI, to assist Cloudera with delivering the hybrid data foundation essential for moving enterprise AI into more organisations. Supported by Cloudera’s Anywhere Cloud platform, this new offering by Cloudera helps equip organizations in the Middle East with a secure, localized platform needed to scale advanced AI securely and independently.
Based on stand H15-E40, Hall No. S15, Cloudera will feature live demonstrations showing how enterprises can tackle persistent data governance and architectural challenges to allow organisations to utilise AI securely within their own organisations.
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