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Sustaining machine learning in the enterprise

O'Reilly on Data

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning. Continue reading Sustaining machine learning in the enterprise.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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Machine Learning in the Enterprise: Use Cases & Challenges

KDnuggets

This article provides insights into how leading data scientists are embracing machine learning in their organizations and covers some of the major ML challenges and trends in the enterprise.

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Lessons learned while helping enterprises adopt machine learning

O'Reilly on Data

In this episode of the Data Show , I spoke with Francesca Lazzeri , an AI and machine learning scientist at Microsoft, and her colleague Jaya Mathew , a senior data scientist at Microsoft. I wanted to learn some of the processes and tools they use when they assist companies in beginning their machine learning journeys.

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5 Things a Data Scientist Can Do to Stay Current

And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.

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What is Enterprise AI?

Analytics Vidhya

Introduction to Enterprise AI Time is of the essence, and automation is the answer. Amidst the struggles of tedious and mundane tasks, human-led errors, haywire competition, and — ultimately — fogged decisions, Enterprise AI is enabling businesses to join hands with machines and work more efficiently.

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Sustaining machine learning in the enterprise

O'Reilly on Data

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning. Continue reading Sustaining machine learning in the enterprise.

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The Business Value of MLOps

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. Download the report to find out: How enterprises in various industries are using MLOps capabilities.