Remove tag ai-governance
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Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

IBM Data Science in Practice

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. Within this landscape, Cloud Pak for Data (CP4D) emerges as a pivotal platform.

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Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

IBM Data Science in Practice

The United States published a Blueprint for the AI Bill of Rights. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Source: A Chat with Andrew on MLOps: From Model-centric to Data-centric AI So how does this data-centric approach fit in with Machine Learning? — Features

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AI may usher out human refs in 3 decades

Dataconomy

Quick take: Aldo Comi, CEO of Soccerment, suggests that AI could not only replace linesmen but possibly human referees altogether in football within a few decades, all while serving as high-quality support for coaching and game strategy. Trust in AI’s capabilities will be pivotal in this transformation.

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Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. And how can leaders ensure their governance initiatives contribute to larger organizational goals? The first step towards a successful data governance strategy is setting appropriate goals and milestones.

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The Ethics of AI in Business: Balancing Progress and Responsibility

How to Learn Machine Learning

Artificial Intelligence (AI) has rapidly transformed the business landscape, enabling organizations to automate complex processes, make data-driven decisions, and enhance customer experiences. From privacy concerns to algorithmic bias, the impact of AI on society, and the workforce is significant.

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Achieve AI success with a people-first data strategy

Tableau

For many years, the underlying complexities of AI, paired with a dramatic portrayal in the media as an inevitable replacement for human jobs, created a daunting narrative that made AI difficult for most people to understand, let alone to widely adopt. Now, we’re at an exciting turning point with AI. So what’s changed?

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Implementing Gen AI for Financial Services

Iguazio

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

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