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The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years. While early adopters lead, most enterprises understand the need for infrastructure modernization to support AI.
Du, one of the largest telecommunications operators in the Middle East, is deploying Oracle Alloy to offer cloud and sovereign AI services to business, government, and public sector organizations in the UAE. In particular, AI’s integration into government services will streamline and improve efficiencies across multiple sectors.
Spending on compute and storage infrastructure for cloud deployments has surged to unprecedented heights, with 115.3% billion, highlighting the dominance of cloud infrastructure over non-cloud systems as enterprises accelerate their investments in AI and high-performance computing (HPC) projects, IDC said in a report. billion.
Indeed, many of the same governments that are actively developing broad, risk-based, AI regulatory frameworks have concurrently established AI safety institutes to conduct research and facilitate a technical approach to increasing AI system resilience. That series is available on Palo Alto Networks LIVEcommunity blog page.
Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub. How to determine the benefits of an MLOps infrastructure. Download the report to find out: How enterprises in various industries are using MLOps capabilities.
If you manage transportation systems, you face fragmented tools and siloed approaches among government agencies, private operators and vendors. Modern transportation networks must address three pivotal security questions: Do you have comprehensive visibility into devices on your ITS network to safeguard critical infrastructure?
AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.
This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact. The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure.
Some will grab the low-hanging fruit offered by SaaS vendors such as Salesforce and ServiceNow , while others will go deep into laying the enterprise infrastructure for a major corporate pivot to AI. Enterprises are also choosing cloud for AI to leverage the ecosystem of partnerships,” McCarthy notes.
In today’s fast-evolving business landscape, environmental, social and governance (ESG) criteria have become fundamental to corporate responsibility and long-term success. CIOs manage IT infrastructure and foster cross-functional collaboration, driving alignment between technological innovation and sustainability goals.
critical infrastructure. Recent activity from the state-sponsored group Volt Typhoon, from the People’s Republic of China (PRC), has prompted federal agencies — including the Cybersecurity and Infrastructure Security Agency (CISA) and international partners — to issue urgent warnings and advisories.
Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Building trust through human-in-the-loop validation and clear governance structures is essential to establishing strict protocols that guide safer agent-driven decisions.
China-linked actors also displayed a growing focus on cloud environments for data collection and an improved resilience to disruptive actions against their operations by researchers, law enforcement, and government agencies. In addition to telecom operators, the group has also targeted professional services firms.
With the rise of digital technologies, from smart cities to advanced cloud infrastructure, the Kingdom recognizes that protecting its digital landscape is paramount to safeguarding its economic future and national security. The Kingdoms Vision 2030 is also a driving force behind its cybersecurity efforts.
Yet, as transformative as GenAI can be, unlocking its full potential requires more than enthusiasm—it demands a strong foundation in data management, infrastructure flexibility, and governance. Trusted, Governed Data The output of any GenAI tool is entirely reliant on the data it’s given.
AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC.
The Machines Can See summit will address the role of AI in sustainability and safety, exploring its applications in environmental conservation and public infrastructure. AI is at the core of this vision, driving smart governance, efficient resource management, and enhanced quality of life for residents and visitors alike.
With generative AI on the rise and modalities such as machine learning being integrated at a rapid pace, it was only a matter of time before a position responsible for its deployment and governance became widespread. Then in 2024, the White House published a mandate for government agencies to appoint a CAIO.
In today’s rapidly evolving technological landscape, the role of the CIO has transcended simply managing IT infrastructure to becoming a pivotal player in enabling business strategy. Governance and metrics Establishing a governance structure ensures clear oversight and accountability for the execution of strategic initiatives.
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. What does the next generation of AI workloads need?
infrastructure and AI-powered applications. Dr. Ömer Fatih Sayan, Türkiye’s Deputy Minister of Transport and Infrastructure, gave the event a powerful message on the nation’s commitment to innovation. 5G, together with AI, will fuel unparalleled growth, as AI depends on robust 5G infrastructure to realize its full potential,” he added.
The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. Speaking of NTTs AI Charter, Mabrucco said NTT was looking to take a leadership role in AI governance and ethics.
The council will be responsible for developing and implementing policies and strategies related to research, infrastructure and investments in artificial intelligence and advanced technology in Abu Dhabi. Launching the Dubai.AI Launching the Dubai.AI
The rise of AI, particularly generative AI and AI/ML, adds further complexity with challenges around data privacy, sovereignty, and governance. AI models rely on vast datasets across various locations, demanding AI-ready infrastructure that’s easy to implement across core and edge.
The recent announcements about new cloud regions in the Middle East are set to further empower businesses, government entities, and individuals to fully embrace the digital future. The UAEs goal of becoming a global leader in AI is rapidly taking shape, with Oracles solutions empowering the government to rethink and reinvent its operations.
German software giant SAP is under investigation by US officials for allegedly conspiring to overcharge the US government for its technology products over the course of a decade. The investigation centers on more than $2 billion worth of SAP technology purchased by US government agencies since 2014.
This development is due to traditional IT infrastructures being increasingly unable to meet the ever-demanding requirements of AI. This is done through its broad portfolio of AI-optimized infrastructure, products, and services. Behind the Dell AI Factory How does the Dell AI Factory support businesses’ growing AI ambitions?
Be it in the energy industry, e-government services, manufacturing, or logistics, the fourth industrial revolution is having a profound impact. All around the world, cities are eager to digitize government services and enhance overall digital access for its citizens. Digitalization is everywhere.
This success is a testament to the growing availability of venture capital, a dynamic entrepreneurial ecosystem, and government support for innovation-driven ventures. As Saudi Arabia continues to invest in infrastructure, education, and research, the deep tech startup ecosystem is expected to grow even more robust in the coming years.
China-linked actors also displayed a growing focus on cloud environments for data collection and an improved resilience to disruptive actions against their operations by researchers, law enforcement, and government agencies. In addition to telecom operators, the group has also targeted professional services firms.
Securing these technologies is paramount in a region where digital infrastructure is critical to national development. Malik emphasized that compliance is not just an add-on for Huawei but a core part of their comprehensive assurance mechanism.
So even if we have AI systems that can use initially inputted data to create new data sets, we want to make sure there’s governance around that, and people are really involved in that process. And we need to create governance models that can be integrated across functions. What’s the benefit to them and to their organizations?
However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures. To succeed, Operational AI requires a modern data architecture.
ADIB-Egypt has announced plans to invest 1 billion EGP in technological infrastructure and digital transformation by 2025. The investment in digital infrastructure is not just an extension of these efforts, but a strategic move to drive efficiency, innovation, and customer satisfaction to new heights.
“It’s important to ensure the technology function isn’t just a set of blinking lights and widgets,” says Sean Carritt, director for ICT and business systems at Infrastructure NSW, the government agency of New South Wales that identifies and prioritizes public infrastructure for economic and social benefit.
Traditional systems often can’t support the demands of real-time processing and AI workloads,” notes Michael Morris, Vice President, Cloud, CloudOps, and Infrastructure, at SAS. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes.
The US government has already accused the governments of China, Russia, and Iran of attempting to weaponize AI for those purposes.” To address the misalignment of those business units, MMTech developed a core platform with built-in governance and robust security services on which to build and run applications quickly.
In order to make the most of critical mainframe data, organizations must build a link between mainframe data and hybrid cloud infrastructure. It enhances scalability, flexibility, and cost-effectiveness, while maximizing existing infrastructure investments.
The incident prompted some CIOs to rethink their dependence on cloud infrastructure, and it caused Microsoft to focus more on kernel-level access for other software packages. The department blamed a vendor working for the federal government for incorrectly calculating the financial aid formula, affecting more than 200,000 students.
Shawn McCarthy is vice president and chief architect, Global Architecture, Risk & Governance, at Manulife. Your organizations future security posture depends on the foundations you build today. This article was made possible by our partnership with the IASA Chief Architect Forum.
For companies heavily reliant on South Korea’s stable infrastructure and government policies to support advanced manufacturing, the recent turmoil introduces risks that may force them to reevaluate their expansion strategies. The events in South Korea will again accelerate this trend.”
Here are 13 of the most interesting ideas: “Current spending on generative AI (GenAI) has been predominantly from technology companies building the supply-side infrastructure for GenAI,” said John-David Lovelock, distinguished vice president analyst at Gartner. UK, India, Australia and China, employees said that they saved an average of 3.6
1 - CISA: Hundreds of critical infrastructure orgs hit by Medusa ransomware Dont let the Medusa ransomware group turn your network into stone. government sent this week via an advisory to cybersecurity teams, especially those at critical infrastructure organizations. Thats the message the U.S.
As they consider upgrading their identity management solutions, they can stay with SAP as it evolves to encompass cloud and SaaS environments or migrate to a more comprehensive identity governance solution that provides deep visibility and control across the enterprise. [1] Existing integrations with applications and systems can be disrupted.
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