Remove the-role-of-model-governance-in-machine-learning-and-artificial-intelligence
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The Role of Model Governance in Machine Learning and Artificial Intelligence

Domino Data Lab

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards.

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

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Gartner: Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment

DataKitchen

ModelOps is “ at the core of an organization’s AI strategy ” and is “ focused on operationalizing AI models, including the full life cycle management of AI decision models and AI governance.” ModelOps. Blog: Deliver AI and ML Models at Scale with ModelOps. Blog: Deliver AI and ML Models at Scale with ModelOps.

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Real-time artificial intelligence and event processing  

IBM Big Data Hub

Check out the webcast, “ Leveraging AI for Real-Time Event Processing ,” by Stephane Mery, IBM Distinguished Engineer and CTO of Event Integration, to learn more about these concepts. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

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How to build a successful AI strategy

IBM Big Data Hub

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. What is an AI strategy?

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Businesses, governments and individuals now see sustainability as a global imperative. In 2024, sustainability is taking center stage. Efforts to track and reduce emissions, environmental impact and contributions to climate change are no longer rare or optional; instead, they’ve become the norm. trillion to the global economy by 2050.

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5 key areas for governments to responsibly deploy generative AI

IBM Big Data Hub

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).