Government Related Topics 
Forrester IT
NOVEMBER 13, 2024
The global commercial AI software governance market is poised for exceptional growth. Forrester forecasts that by 2030, spending on off-the-shelf AI governance software will more than quadruple, reaching $15.8 billion and capturing 7% of overall AI software spending.
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.
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Forrester IT
APRIL 17, 2024
Your cloud governance must match this new reality. For this reason, along with new and developing industry regulations, growing sovereignty requirements, and a plethora of breaches/vulnerabilities, companies are revisiting or standing up governance programs that have not existed in […]
Forrester IT
OCTOBER 26, 2023
If a bipartisan group of Congresspeople succeeds, the White House’s Office of Management and Budget (OMB) will increase both the oversight and visibility of US government efforts to improve customer experience (CX).
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
IT Toolbox
MARCH 12, 2024
The French government has reported a major cyberattack on several of its services. Learn more about the threat actors, the scope of the attack, and its impact on government operations in France. The post Massive Cyberattack Targets French Government Services appeared first on Spiceworks.
Forrester IT
JUNE 10, 2020
Companies have short attention spans when it comes to data governance. To address these expansions, data owners either search for the simple approach or re-educate on data governance 101. Here is the […].
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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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.
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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.
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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Disparate datasets and technologies make it more difficult than ever to give your customers and users the information and insight they need, when they need it (and how they want it) while addressing the complexities of compliance, governance, and security. Find out how Data Mesh can help you overcome these challenges and more.
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