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FlyteInteractive: Interactive development for machine learning models

InfoWorld

Machine learning (ML) is becoming an increasingly important part of the modern application stack. Whether it’s large-scale, public large language models (LLM) like GPT or small-scale, private models trained on company content, developers need to find ways of including those models in their code.

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How Are Artificial Intelligence(AI) And Machine Learning(ML) Revamping Performance of DevOps?

Dzone - DevOps

AI/ML and DevOps are hot buzzwords in the tech industry right now. Thus, demand for Artificial intelligence, machine learning, and DevOps is picking up an increased pace every hour. Thus, demand for Artificial intelligence, machine learning, and DevOps is picking up an increased pace every hour.

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Streamlit nabs $35M Series B to expand machine learning platform

TechCrunch

As a company founded by data scientists, Streamlit may be in a unique position to develop tooling to help companies build machine learning applications. Data scientists can download the open-source project and build a machine learning application, but it requires a certain level of technical aptitude to make all the parts work.

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Containerization and AI: Streamlining the Deployment of Machine Learning Models

Dzone - DevOps

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the way we approach problem-solving and data analysis. However, deploying and managing ML models in production environments can be a daunting task.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

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Preparing for Machine Learning Readiness to Unlock its Full Potential

DevOps.com

With the rapid advancement of artificial intelligence (AI) and machine learning (ML), companies need to understand and evaluate their readiness to adopt these technologies and drive material business outcomes.

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The Role of Machine Learning in DevOps

Kovair - DevOps

Artificial intelligence (AI) and machine learning (ML) are advanced technologies in the IT world. It is a perfect combination and helps in both the private.

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged.