Government Related Topics 
CIO
NOVEMBER 5, 2024
Meta will allow US government agencies and contractors in national security roles to use its Llama AI. The cornerstone of Meta’s partnership with the US government lies in its approach to data sharing, which remains unclear, says Sharath Srinivasamurthy, associate vice president at IDC.
CIO
NOVEMBER 26, 2024
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.
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CIO
JANUARY 30, 2025
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.
CIO
NOVEMBER 7, 2024
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.
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Download this Special Report by MIT Sloan Management Review to learn about: The concept of radicalness and how its intertwined with innovations Innovative governance ideas that have the potential to influence organizational changes Simple decisions that can set teams on a path toward either incremental or breakthrough innovations
CIO
NOVEMBER 15, 2024
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.
CIO
OCTOBER 10, 2024
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.
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To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance. Download today to find out more!
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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. As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.
Advertiser: Data Robot
The importance of governance in ensuring consistency in the modeling process. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.
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Read this whitepaper to learn: How this “no data copy” approach dramatically streamlines data workflows while reducing security and governance overhead. This new open data architecture is built to maximize data access with minimal data movement and no data copies.
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The key prerequisites for meeting the needs of non-technical users while adhering to data governance policies. The primary architectural principles of a true cloud data lake, including a loosely coupled architecture and open file formats and table structures.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance (an example of datamesh paradigm adoption). Leveraging Dremio for data governance and multi-cloud with Arrow Flight.
Advertiser: Data Robot
Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance. AI operations, including compliance, security, and governance. We also look closely at other areas related to trust, including: AI performance, including accuracy, speed, and stability.
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Government agencies can no longer ignore or delay their Zero Trust initiatives. The DHS compliance audit clock is ticking on Zero Trust. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc.,
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