Remove Continuous Integration Remove Machine Learning Remove Scalability
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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

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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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Cloud Security — Maturing Past the Awkward Teenage Years

Palo Alto Networks

Organizations must understand that cloud security requires a different mindset and approach compared to traditional, on-premises security because cloud environments are fundamentally different in their architecture, scalability and shared responsibility model.

Cloud 105
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What CEOs really need from today’s CIOs

CIO

Modern delivery is product (rather than project) management , agile development, small cross-functional teams that co-create , and continuous integration and delivery all with a new financial model that funds “value” not “projects.”. If moving software from a supporting to a starring role is the what, then modern delivery is the how.

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Navigating the Landscape of Development Frameworks: A Guide for Aspiring Developers.

Perficient

React : A JavaScript library developed by Facebook for building fast and scalable user interfaces using a component-based architecture. Technologies : Node.js : A JavaScript runtime that allows developers to build fast, scalable server-side applications using a non-blocking, event-driven architecture. Unreal Engine Online Learning.

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SAP SE revamps application security scanning using simulation and automation

CIO

To surpass convention and build a specialized, scalable, user-friendly scanning system, SAP had to merge different technologies, including simulation, automation, and API testing. SAP also plans to expand the tool’s usage within the company’s cloud solutions, such as SAP Business Technology Platform and SAP SuccessFactors.