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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.
In a move to establish itself as a global leader in AI-driven government, the government of Abu Dhabi has unveiled its ambitious Abu Dhabi Government Digital Strategy 2025-2027. This program emphasizes the importance of upskilling the population, preparing citizens to be active participants in the digital future of their city.
In a landmark move, the Abu Dhabi Government, Microsoft, and Core42 was made in the presence ofH.H. USD billion investment in digital infrastructure under the Abu Dhabi Government Digital Strategy 2025-2027. The initiative is backed by a significant 3.54
With the rapid advancement and deployment of AI technologies comes a threat as inclusion has surpassed many organizations governance policies. These changes can expose businesses to risks and vulnerabilities such as security breaches, data privacy issues and harm to the companys reputation.
The evolution of cloud-first strategies, real-time integration and AI-driven automation has set a new benchmark for data systems and heightened concerns over data privacy, regulatory compliance and ethical AI governance demand advanced solutions that are both robust and adaptive.
Most governance programs focus on control but fail to embed governance into the organization's culture and decision-making process. They lack the human-centered roles that make governance successful.
Artificial intelligence (AI) has become a driving force in business, reshaping how organizations everywhere operate. As AIs influence grows, however, so does the need for strong governance. Today, business leaders play a pivotal role in driving the conversation around AI governance.
Governance implications for key gen AI use cases Some key use cases for generative AI include increasing productivity, improving business functions, reducing risk, and boosting customer engagement. A good governance framework makes generative AI not only more responsible but also more effective.
The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. billion in revenue, the UK government said. billion in revenue, the UK government said.
Asked why he thinks DHS felt the need to create the framework, Chhabra said that developments in the AI industry are “unique, in the sense that the industry is going back to the government and asking for intervention in ensuring that we, collectively, develop safe and secure AI.” The question, he said, is why the industry needs to do so.
Shadow IT thrives on weak governance The struggle many organisations face is reflected in the relatively slow uptake of meaningful AI projects in Australia, which sometimes is at odds with the wants of their workforces. Another impediment to AI adoption is the ongoing need to ensure that appropriate governance and protections are in place.
In IDCs April 2024 CIO Poll Survey of 105 senior IT professionals and CIOs, developing better IT governance and enterprise architecture emerged as one of the top priorities for 2024, ranking fourth. Without well-functioning IT governance, how can you progress on competing priorities?
In today’s fast-evolving business landscape, environmental, social and governance (ESG) criteria have become fundamental to corporate responsibility and long-term success. Critical roles of the CIO in driving ESG As organizations prioritize sustainability and governance, the CIO’s role now includes driving ESG initiatives.
What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. The key is establishing strong data governance and infrastructure foundations before diving into AI implementations.
Each interaction amplifies the potential for errors, breaches, or misuse, underscoring the critical need for a strong governance framework to mitigate these risks. Above all, robust governance is essential.
By adopting this mindset and applying business principles, IT leaders can unlock new revenue streams. Focus on data governance and ethics With AI becoming more pervasive, the ethical and responsible use of it is paramount.
CIOs are under increasing pressure to deliver meaningful returns from generative AI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. CIOs should create proofs of concept that test how costs will scale, not just how the technology works.”
Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Modern data architecture best practices Data architecture is a template that governs how data flows, is stored, and accessed across a company.
The difference between success and failure lies in how AI is implemented, governed, and sustained, Pallath says. AI must integrate seamlessly into workflows, align with employee responsibilities, and be supported by clear governance. While he was commenting about federal government agencies, the advice can apply to any organization.
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.
Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.
Without robust security and governance frameworks, unsecured AI systems can erode stakeholder trust, disrupt operations and expose businesses to compliance and reputational risks. Senior executives are challenged with securing AI, aligning initiatives with governance frameworks and fortifying business resilience.
Sound foundations, good governance Marsh McLennan’s Beswick says the firm will continue its aggressive embrace of gen AI to move beyond basic applications and automate internal business processes. The firm has also established an AI academy to train all its employees. “We
“After setting the aligned, shared objectives, continually measure performance against those objectives and adjust objectives as business conditions change.” Curtis also believes IT-business alignment requires creating stringent master data governance.
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. The better the data, the stronger the results.
The respondents were from 14 countries and seven industries: consumer; energy; resources and industrials; financial services; life sciences and healthcare; technology, media, and telecom; and government and public services. That said, even as business leaders discover that implementing gen AI at scale is hard, the gains are coming.
As an e-discovery company that helps law firms, corporations, and government agencies mine digital data for legal cases, Relativity knows the value of guaranteeing that people have the appropriate level of access to do their jobs. Register now for our upcoming security event, the IT Governance, Risk & Compliance Virtual Summit on March 6.
So as a CIO, how should you reign in the chaos and implement a suitable level of governance and control? We need all hands on tech, empowering a digitally literate citizenry with the right guidance and thoughtful governance that enables rather than prohibits, he says.
The World Economic Forum shares some risks with AI agents , including improving transparency, establishing ethical guidelines, prioritizing data governance, improving security, and increasing education. Placing an AI bet on marketing is often a force multiplier as it can drive data governance and security investments.
AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Governments will prioritize investments in technology to enhance public sector services, focusing on improving citizen engagement, e-governance, and digital education.
Assessment : Deciphers and documents the business logic, dependencies and functionality of legacy code. Governance: Maps data flows, dependencies, and transformations across different systems. Throughout each stage of the process, it relies on task-specific, finely tuned agents built to exceed the efficiency and expertise of humans.
As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.
This move underscores the countrys commitment to embedding AI at the highest levels of government, ensuring that AI policies and initiatives receive focused attention and resources. AI is at the core of this vision, driving smart governance, efficient resource management, and enhanced quality of life for residents and visitors alike.
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.
Its not unusual [for organizations] to take six months to get to a yes, or worse yet, get to a no, he says, because their governance processes arent guardrails but rather governing by committee. Using AI is a faster way to do things, from writing code to having gen AI test and deploy, he says.
Introducing businessintelligence required a great deal of change management work, because from a data use that wasnt very sophisticated and organized, and very do-it-yourself, we moved to a consistent and verified data warehouse, he says. But its always necessary to provide support and governance.
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?
Be it in the energy industry, e-government services, manufacturing, or logistics, the fourth industrial revolution is having a profound impact. In one example, State Grid Shaanxi partnered with Huawei to build intelligent distribution networks strengthening the last mile of power supply. Digitalization is everywhere.
The department blamed a vendor working for the federal government for incorrectly calculating the financial aid formula, affecting more than 200,000 students. In late January, Fujitsu was suspended from bidding on UK government contracts.
AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. Governments will prioritize tech-driven public sector investments, enhancing citizen services and digital education.
In a damning audit report , Grant Thornton has exposed how the project implementation turned into a cautionary tale of project mismanagement, highlighting critical failures in governance, technical oversight, and vendor management that continue to impact the councils core operations.
Enterprise architecture (EA) has evolved beyond governance and documentation. Today, its a business accelerator driving efficiency, accelerating digital transformation, and shaping competitive advantage. Align business and technology for competitive advantage. This leads to: Misaligned priorities between IT and business teams.
This means that you dont just build agents for accuracy of the task, but you must also evaluate AI agents to meet security, data privacy, and governance requirements, and that can be a major barrier to deployment. It was built on Nvidia Garak, an open-source toolkit for vulnerability scanning trained on a dataset of 17,000 known jailbreaks.
We dont want to prevent the use of AI, but to create global governance that is reflected across countries, flagging applications that are provided by the company and those that are not, Proietti says. Engineerings Valentini also sees the need to govern AI and find a common thread in the complexity of the European AI regulatory framework.
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