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US government enters the race for AI talent

CIO

US government agencies have ramped up their efforts to hire AI talent, filling newly created chief AI officer positions and aggressively seeking out AI-related skills. Since October, we’ve seen unprecedented levels of interest in joining the federal government to work on AI.

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Why CIOs back API governance to avoid tech sprawl

CIO

As such, he views API governance as the lever by which this value is assessed and refined. Good governance is the telemetry on that investment, from which operational and tactical plans can be adjusted and focused to achieve strategic objectives,” he says. “In

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Indian government asks genAI developers to self-regulate

CIO

Developers of risky generative AI models are now free to release them without government approval, but are being encouraged to self-regulate by adding labels to the output of their models warning of their potential unreliability. It is good to see the government moving in the right direction with an advisory to start with.”

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Maine government says data breach affects 1.3 million residents

TechCrunch

The government of Maine has confirmed over a million state residents had personal information stolen in a data breach earlier this year by a Russia-linked ransomware gang. The hackers used […] © 2023 TechCrunch.

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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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Governance and Fighting the Curse of Complexity

CIO

The road other is paved with disciplined IT and business governance. Governance and the Process Side of Simplification So, if integrative tools are only part of the answer, what else can IT and security leaders do? The answer lies in building a system of overall guardrails – governance, if you will – of the entire enterprise.

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The potential for generative AI in government and public services

CIO

Governments and public service agencies understand the enormous potential of generative AI. Recent research by McGuire Research Services for Avanade, shows 82% of government employees are using AI on a daily or weekly basis, while 84% of organisations plan to increase their IT investments by up to 24% to take advantage of AI.

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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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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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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.