by Fatima Nomaan | Jul 17, 2026 | AI Development
SUMMARY Gartner projects over 40% of agentic AI projects will be cancelled by 2027 due to costs, unclear value, or inadequate risk controls. The lifecycle discipline described here separates survivors from failures 79% of enterprises say they have adopted AI agents,...
by Fatima Nomaan | Jul 16, 2026 | AI Development, MVP Development
TL;DR Global corporate AI investment reached $581.7 billion in 2025, more than doubling year-over-year (Stanford AI Index, 2026) 87% of AI projects fail to reach production — the leading cause is building too much before validating whether users want what was built...
by Fatima Nomaan | Jul 10, 2026 | AI Development
SUMMARY Ollama runs on llama.cpp. The comparison is about wrapper overhead, not competing engines. Performance gap is 8–14%. Llama.cpp: 95 tok/s vs Ollama: 82 tok/s on RTX 5090 with Llama 3 8B. Context window difference matters. Llama.cpp allows 32,768 tokens vs...
by Fatima Nomaan | Jul 9, 2026 | AI Development
2025 has been heralded as the year of agents. Beyond the hype, building applications that integrate agents is becoming a widely useful skill. But most content online is fragmented, outdated, or written by someone who has never deployed anything into production. Books...
by Fatima Nomaan | Jun 24, 2026 | AI Development
Machine learning is transforming how businesses operate. From predictive analytics that forecast customer behaviour to recommendation engines that drive revenue, the potential is enormous. Yet many UK organisations struggle to move beyond proof-of-concept. Compliance...
by Fatima Pervaiz | Jun 17, 2026 | AI Development, Artificial Intelligence
SUMMARY Define specific, measurable outcomes before selecting any AI tool. Clean, governed data and reliable deployment matter more than model choice. Data prep consumes 30-50% of budgets. Ongoing monitoring and retraining add 15-30% annually. Fairness, privacy,...
