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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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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. There are other key drivers behind increasing API utilization.

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Secure cloud fabric: Enhancing data management and AI development for the federal government

CIO

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. Current challenges with cloud data The US government generates and collects a massive amount of data each year – everything from census information to intelligence gathering.

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An intro to innovation in the U.S. government

CIO

Customer experience in the government sector is the sum of the public’s interactions with any government service, from how we contact our state’s social services and emergency services to waste management, public transportation, and healthcare. Why should governments and the public sector innovate?

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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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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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What is data governance? Best practices for managing data assets

CIO

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy.

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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. Why agile development concepts, when applied to the data tier, can dramatically increase data engineering agility.

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

In a recent study, IDC found that 64% of organizations said they were already using open source in software development with a further 25% planning to in the next year. Most organizations are unaware of just how much open-source code is used and underestimate their dependency on it.