Government Related Topics 
CIO Business Intelligence
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.
CIO Business Intelligence
JANUARY 29, 2025
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.
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CIO Business Intelligence
JANUARY 30, 2025
With the rapid advancement and deployment of AI technologies comes a threat as inclusion has surpassed many organizations governance policies. Governance is also seen as a roadblock to the agility needed to quickly deploy into production. Leaving 55% saying that their organization had not yet implemented an AI governance framework.
Information Week
MARCH 7, 2025
AI governance platforms play an important role in ensuring that AI systems are ethical and transparent. Here's what you need to know to create a platform for your organization's needs.
Advertiser: GEP
This new case study, Global Heavy Equipment Manufacturer Saves $45M in Direct Material Sourcing With GEP SOFTWARE, outlines how the company partnered with GEP to streamline its direct material sourcing process and increase spend visibility, leading ultimately to savings of $45 million and improved efficiency and governance.
Social, Agile and Transformation
OCTOBER 21, 2024
The importance of clear governance for CIOs, CTOs, and CDOs in fostering innovation while addressing the complexity of governance policies.
Information Week
DECEMBER 26, 2024
AI-powered tools and data fabric solutions are among the resources IT leaders can tap develop more holistic hybrid-cloud data governance strategies.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.
Advertiser: Data Robot
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
Advertiser: Data Robot
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!
Advertiser: Data Robot
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.
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