Remove tag domain-driven-design
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Secure by Design

Henrik Warne

I really like Secure by Design. The key idea is that there is a big overlap between secure code and good software design. This is easy to say, but Secure by Design is full of techniques for how to actually do this. Domain Primitives. Domain primitives are similar to value objects in Domain-Driven Design (DDD).

Examples 264
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Consent Management for Compliance and Customer Experience Benefits 

Perficient

Many service providers implement or resell consent solutions but lack the necessary expertise in tagging, data layer management, and analytics to deploy them effectively according to client business policy and regulatory necessities.

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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

We present a systematic overview of the unexpected streaming behaviors together with a set of model-based and data-driven anomaly detection strategies to identify them. Rule-based anomaly detection approaches use a set of rules which rely on the knowledge and experience of domain experts.

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Sitecore Send Full Overview

Perficient

Its marketing automation features include workflow creation, email campaigns, and AI-driven recommendations. Sitecore Send provides features specifically designed for agencies and partners, such as a personal client management hub and customization options. Tags serve as another axis for segmentation.

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Powering Virtual Leadership interaction by leveraging Google Generative AI on GCP Cloud Run

Xebia

Let me introduce PaperCompany.io: It is a proof of concept designed to demonstrate the potential of AI-driven interactions with virtual leadership, and it harnesses the capabilities of Google’s Generative AI on GCP Cloud Run. platform linux/amd64 -t gcp-papercompany docker tag gcp-papercompany gcr.io/yourgcpproject/gcp-papercompany

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Natural Language Processing & Machine Learning in Higher Education

Mentormate

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Data Challenges in Higher Education To begin with, let’s look at the problem in the domain.

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Enterprise IT moves forward — cautiously — with generative AI

CIO

Currently his team is looking into two use cases in the knowledge and expertise domains. Normally Cenkl reviews résumés and searches by skills tags to find the right people for a project. “But That’s incredibly powerful.” The second is for project staffing. You can’t just plug that code in without oversight. Mitre Corp.