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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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Why CIOs back API governance to avoid tech sprawl

CIO

Karl Mattson, field CISO at Noname Security, an API security solution, says APIs are the foundation of nearly every CIO’s strategic plans to deliver business value. As such, he views API governance as the lever by which this value is assessed and refined.

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Governance and Fighting the Curse of Complexity

CIO

The road other is paved with disciplined IT and business governance. The Burgeoning Complexity of IT and Security Solutions On a business level, complexity comes from growth through acquisition – when enterprises inherit systems of record and of work that, more often than not, are different from one another. Testing vendor solutions.

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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. About alternative solutions such as lake houses and how they compare to next-gen cloud data lakes How to separate compute and data by preserving data in open file and table formats.

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Faster, more personal, proactive: How generative AI is transforming digital government for citizens

CIO

Government and public sector agencies are already exploring the potential of generative AI in delivering more effective services from the inside. New research by McGuire Research Services for Avanade shows that 98% of government and public service organisations believe that citizens prefer to engage with them via new technologies like AI.

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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. In addition to being a solution that can be leveraged today, it is designed to grow with an agency’s cloud consumption and mission focus.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases. Leveraging Dremio for data governance and multi-cloud with Arrow Flight.

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Build Trustworthy AI With MLOps

For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.

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Business Agile: A Roadmap for Transforming Your Management & Adapting to the VUCA Environment

Speaker: Peter Taylor, Speaker/Author, The Lazy Project Manager

Peter Taylor will walk through the change process step by step, and look at a tried and tested transformation roadmap: benefits are outlined, solutions to common challenges offered, and tried and tested methods and tools provided.

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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.