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IDC chief research officer: GenAI, from experimentation to adoption

CIO Business Intelligence

Its been a year of intense experimentation. Now, the big question is: What will it take to move from experimentation to adoption? We expect some organizations will make the AI pivot in 2025 out of the experimentation phase. This approach requires a partnership between business and IT.

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OpenAI Swarm: A Hands-On Guide to Multi-Agent Systems

Analytics Vidhya

OpenAI Swarm – launched in 2024, is an experimental framework designed to simplify the orchestration of multi-agent systems for developers. It aims to streamline the coordination of AI agents through scalable and user-friendly mechanisms, making it easier to manage interactions within complex workflows.

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9 IT resolutions for 2025

CIO Business Intelligence

CIOs are an ambitious lot. Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. To ensure his team can meet the challenges that such growth brings, he has doubled his IT staff and invested in upskilling his team.

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AI data readiness: C-suite fantasy, big IT problem

CIO Business Intelligence

Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. But 84% of the IT practitioners surveyed, including data scientists, data architects, and data analysts, spend at least one hour a day fixing data problems.

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A Guide to Flax: Building Efficient Neural Networks with JAX

Analytics Vidhya

Flax’s seamless integration with JAX enables automatic differentiation, Just-In-Time (JIT) compilation, and support for hardware accelerators, making it ideal for both experimental research and production. This blog […] The post A Guide to Flax: Building Efficient Neural Networks with JAX appeared first on Analytics Vidhya.

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How OpenAI Swarm Enhances Multi-Agent Collaboration?

Analytics Vidhya

While it’s primarily intended for educational and experimental use, OpenAI advises against using Swarm in production settings, but it is a framework worth exploring. OpenAI’s Swarm framework is designed to create a user-friendly and flexible environment for coordinating multiple agents.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. However, the concept is quite abstract. Can’t we just fold it into existing DevOps best practices? Why: Data Makes It Different.

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