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Insights from Forte Group Thought Leaders

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AI Governance in Practice: Critical Gaps in Implementation and Strategy

3 min By Lucas Hendrich

Knowledge Graphs as Fact Tables, LLMs as Dimensions: A Potential Mental Model for AI Architecture

4 min By Lucas Hendrich

Why Data Engineering Is No Longer Optional for Mid-Market Companies

3 min By Lucas Hendrich

Strategic Priorities for 2026: Building AI-Ready Data Foundations

3 min By Lucas Hendrich

AI Is Transforming Software Engineering Workflows: Five Key Findings

2 min By Lucas Hendrich

Winning the AI and Data Talent Race with Managed Services

2 min By Lucas Hendrich

There are no new ideas in AI, only new datasets

3 min By Lucas Hendrich
ile tree view of a Python project named 'context_engineering_qatool'. Top-level files include: main.py, schema.py, and memory.py. There is a folder named 'agents' with three files inside: planner.py, generator.py, and validator.py. Another folder, 'examples', contains a single file: task_input.json.

From Prompt Craft to System Design: Context Engineering as a Core Discipline for AI-Driven Delivery

2 min By Lucas Hendrich
Self-tuning language model framework demonstrating autonomous feedback-driven learning

Self‑Adapting Language Models: A Strategic Milestone in LLM Autonomy

2 min By Lucas Hendrich