Government Related Topics 
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.
Martin Fowler
SEPTEMBER 5, 2024
Decentralized data management requires automation to scale governance effectively. Fitness functions are a powerful automated governance technique my colleagues have applied to data products within the context of a Data Mesh.
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TechCrunch
DECEMBER 6, 2023
senator Ron Wyden (D-OR) has warned in a letter to the Justice Department that unidentified governments are spying on Apple and Google phone users through their push notifications.
AWS Machine Learning - AI
NOVEMBER 6, 2024
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.
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.
TechCrunch
DECEMBER 6, 2023
cybersecurity agency CISA has warned that unknown hackers broke into the servers of a federal government agency by taking advantage of a previously known vulnerability in software that no longer receives updates — meaning the agency couldn’t have patched it even if it wanted to.
CIO
DECEMBER 5, 2024
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.
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.
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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