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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

Dzone - DevOps

Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up.

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How Machine Learning is Used in Finance and Banking

Exadel

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

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Low-Code Development: Create Applications Without Programming Knowledge

Apiumhub

The rise of low-code platforms is revolutionizing how applications are built, deployed, and maintained. This article delves into the world of low-code development, exploring its benefits, key features, leading platforms, use cases, and the future of this transformative approach. What are Low-Code Platforms?

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Achieving CIOs’ top investment priorities requires filling the tech skills gap

CIO

CIOs believe that the top three tech initiatives driving these increased IT investments will be security and risk management (45%), artificial intelligence (AI) and machine learning (44%), and business process and IT automation (44%). Encourage participation in hackathons.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. billion by 2025.

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Generative AI: the Shortcut to Digital Modernisation

CIO

Generative AI can help businesses achieve faster development in two main areas: low/no-code application development and mainframe modernisation. Streamlined coding process : Generative AI provides real-time information on available functions, parameters, and usage examples as the coder types.