AI for business

AI for business: practical guides, applications and automation

How to choose and integrate artificial intelligence into your business: custom applications, chatbots, voice agents, CRM and automation. These guides explain the data, permissions, outcome checks and operating costs involved, with examples for real business workflows.

AI for business 62

published articles

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Latest published articles

Decision Trees: Classification, Learned Rules and Evaluation

Decision Trees: Classification, Learned Rules and Evaluation

How a tree learns splits, and what Gini, depth and pruning mean. An original branching diagram, calculations and branch-level business evaluation.

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KNN Algorithm: Classification and Regression Explained

KNN Algorithm: Classification and Regression Explained

How KNN selects nearby examples, votes for classes and estimates values. Visual distances, scaling and evaluation for business applications.

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Multiple vs Multivariate Linear Regression: Explained

Multiple vs Multivariate Linear Regression: Explained

Multiple predictors or multiple outputs? Linear regression explained with illustrative calculations, errors in minutes and business validation criteria.

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GANs and Diffusion Models: How AI Generates Images

GANs and Diffusion Models: How AI Generates Images

Generators, discriminators, noise and latent space: compare GANs with diffusion. Explanatory diagrams, image controls and a business workflow.

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Face Detection or Face Recognition: Differences and Data

Face Detection or Face Recognition: Differences and Data

Understand face detection, 1:1 verification and 1:N identification. Explanatory workflows, errors, data protection and project assessment criteria.

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YOLO Object Detection: Data, Evaluation and Counting

YOLO Object Detection: Data, Evaluation and Counting

Prepare a YOLO project: classes, labels, thresholds, IoU, errors and object counting in video. Original diagrams and business testing criteria.

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RNN, LSTM and GRU: Sequential Data and Time Series

RNN, LSTM and GRU: Sequential Data and Time Series

How recurrent networks process history: states, gates, time windows and chronological evaluation. Visual examples for useful business forecasting.

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Convolutional Neural Networks: How a CNN Works

Convolutional Neural Networks: How a CNN Works

CNNs explained through filters, feature maps and a visual calculation. Data, transfer learning and evaluation for a practical image-analysis application.

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How a Transformer Works: The AI Attention Mechanism

How a Transformer Works: The AI Attention Mechanism

AI attention explained visually: tokens, queries, keys, values, masks, encoders and decoders. Demonstrative examples and business application criteria.

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Deepfakes: Protecting Business Identity and Communications

Deepfakes: Protecting Business Identity and Communications

What a deepfake is and how to check an unusual business request: voice, video, provenance, independent confirmation and authorised actions. A practical business guide.

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Computer Vision for Business: Applications and Evaluation

Computer Vision for Business: Applications and Evaluation

Using images and video in business applications: classification, detection, segmentation, OCR and tracking. Diagrams, examples and criteria for evaluating a pilot.

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NER: Extracting Entities from Documents with AI

NER: Extracting Entities from Documents with AI

Turn company names, dates and locations in documents into verifiable information: NER, OCR, normalisation, evaluation and controlled CRM integration.

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