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NER: Extracting Entities from Documents with AI

November 2, 2026

AI for business

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

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AI Sentiment Analysis: Useful Customer Feedback for Business

November 2, 2026

AI for business

How to analyse reviews and messages with AI: polarity, aspects, language, evaluation and dashboards. Clear examples, illustrative calculations and outcome checks.

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AI Alignment for Business: Objectives, Permissions and Evaluation

November 2, 2026

AI for business

Understand AI alignment and its business application: verifiable objectives, access boundaries, approvals, evaluation and operational monitoring.

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ANI, AGI and ASI: AI Capabilities and Evaluation

November 2, 2026

AI for business

Understand narrow AI, general AI and superintelligence. Distinguish generality, performance and autonomy with diagrams and business evaluation criteria.

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Deep Learning: Neural Networks and Business Applications

November 2, 2026

AI for business

How deep learning works: layers, training and inference. Business examples, pretrained models, data, computing resources and application evaluation.

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Supervised, Unsupervised and Reinforcement Learning

November 2, 2026

AI for business

Choose the right machine learning approach: labels, groups or rewards. Business examples, diagrams, evaluation and practical data preparation.

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Employee AI Skills: Practical Use and Verification

November 2, 2026

AI for business

Prepare employees to use AI: permitted data, clear requests, output verification, approvals and practical role-based training exercises.

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AI in Marketing: Applications, Content and Measurement

November 2, 2026

AI for business

Use AI in marketing for content, segmentation, leads and campaigns. Approval workflows, practical examples, costs and business measurement explained.

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Types of AI Agents: Architectures and Business Autonomy

November 2, 2026

AI for business

Understand reflex, stateful, goal-based, utility-based and learning agents. LLM architectures, multi-agent systems, MCP, A2A and business approvals.

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Generative, Discriminative and Predictive AI: Business Differences

November 2, 2026

AI for business

Compare generative AI, discriminative models and predictions. Business examples, diagrams, data requirements and evaluation for generation and estimation.

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Small Language Models (SLMs): When to Choose Them Over LLMs

November 2, 2026

AI for business

Choose a small language model by task, memory, latency, hosting and total operating cost. Practical SLM vs LLM examples, diagrams and evaluation criteria.

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RAG, Fine-Tuning or Prompt Engineering: How to Choose

November 1, 2026

AI for business

Choose prompt engineering, RAG or fine-tuning by data needs, behaviour, evaluation and operating cost. Practical diagrams and examples for business AI.

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