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Modernize Your Cloud Governance To Match Today’s Cloud Strategy

Forrester IT

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 […]

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The US Government Might Get (Even More) Serious About CX

Forrester IT

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).

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Massive Cyberattack Targets French Government Services

IT Toolbox

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.

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What AI Governance Means For CDOs In 2024 

IT Toolbox

Why AI governance challenges demand proactive leadership from CDOs in 2024. The post What AI Governance Means For CDOs In 2024 appeared first on Spiceworks.

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How One Manufacturer Used GEP SOFTWARE To Save $45M in Direct Material Sourcing

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.

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The Role of Data Governance in Driving CX, Innovation & Maritime Ops

IT Toolbox

Discover data governance's critical role in Industrial AI, New Energy Models, and Maritime Operations. The post The Role of Data Governance in Driving CX, Innovation & Maritime Ops appeared first on Spiceworks.

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Data Governance for 2020 and Beyond

Forrester IT

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 […].

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

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.

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Innovation Systems: Advancing Practices to Create New Value

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

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Resilient Machine Learning with MLOps

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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The Business Value of MLOps

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.

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10 Keys to AI Success in 2021

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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Top Considerations for Building an Open Cloud Data Lake

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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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

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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Partner Webinar: A Framework for Building Data Mesh Architecture

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.