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CIOs look to sharpen AI governance despite uncertainties

CIO

As more generative AI projects move from proof-of-concept to production, CIOs will be shouldering the additional pressure of enacting AI governance policies to protect the enterprise — and their jobs. I don’t see a future where AI governance is owned by a single entity or government itself — it’s just too challenging.

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3 reasons why the US government should lean on data and AI efficiency

CIO

Innovation and efficiency go hand in hand going forward, and it marks a critical moment for government agencies to take stock around three core principles. People now expect an Amazon-like experience from every brand and organization, including their government, in terms of how fluid, personalized, secure, and efficient it is.

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4 essential lessons in AI governance

CIO

As early adopters, Planview realized early on that if they really wanted to lean into AI, they’d need to set up policies and governance to cover both what they do in house, and what they do to enhance their product offering. Piggyback on an existing framework AI governance is not much different from any other governance.

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How Du’s vision for sovereign cloud and AI will transform UAE’s digital governance

CIO

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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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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Governing data products using fitness functions

Martin Fowler

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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Alation and Salesforce partner on data governance for Data Cloud

CIO

Data intelligence platform vendor Alation has partnered with Salesforce to deliver trusted, governed data across the enterprise. It will do this, it said, with bidirectional integration between its platform and Salesforce’s to seamlessly delivers data governance and end-to-end lineage within Salesforce Data Cloud.

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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.

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Build Trustworthy AI With MLOps

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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IDC Analyst Report: The Open Source Blind Spot Putting Businesses at Risk

This IDC report addresses several key topics: Risks involved with using open-source software (OSS) How to manage these risks, including OSS license compliance Business benefits to the organization beyond risk mitigation Software supply chain best practices Key trends in industry and government regulation