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Machine learning model serving architectures

Xebia

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. Your model has to leave the comforts of your development environment and is ready to move to production to be consumed by the end user.

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations.

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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. It is important to focus on the data flow, as this is what distinguishes Machine Learning Systems from regular Software Systems.

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Moving Enterprise Data From Anywhere to Any System Made Easy

CIO

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

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Delivering Effective AI for Telecom Companies: Trusted, Open, Hybrid

Cloudera

To combat these challenges, telcos must proactively seek opportunities to streamline operations and optimize revenue streams. From embracing automation to digital transformation initiatives, data plays a significant role in powering cost control strategies. And here we are. Ten Strategies for Success 1. Ten Strategies for Success 1.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.

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Cloudera Named a Visionary in the Gartner MQ for Cloud DBMS

Cloudera

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.