AI isn’t magic. It’s a process. 8 steps:
define problem
collect/prepare data
choose model
train
evaluate
fine-tune
deploy
ensure ethics & safety Real value comes from running this loop well. #AI #MachineLearning #DataScience #ResponsibleAI
@ingliguori
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AI isn’t magic: it’s an 8-step process
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AI Adoption Accelerates But Governance Missing, Risks Rise
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AI adoption is accelerating.
So are the cybersecurity risks behind it. Companies are integrating AI into CRM, sales, operations and customer experience faster than ever. But many organizations are still missing a critical point: AI without governance creates exposure. -
AI Maturity Shifts from Pilots to Operations with Governance Scaling
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AI maturity is no longer about how many copilots a company has deployed. It is about whether AI can operate inside real workflows with: Identity Policy Workflow Audit The market is moving from AI pilots to AI operations. Governance is the scaling layer. The key
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Market Moving from AI Pilots to AI Operations with Governance
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AI maturity is no longer about how many copilots a company has deployed. It is about whether AI can operate inside real workflows with: Identity Policy Workflow Audit The market is moving from AI pilots to AI operations. Governance is the scaling layer. The key
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AI Agents as Orchestration Layers: Skills, MCP, Subagents, Hooks, Memory
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AI agents are more than LLMs • Skills → expertise
• MCP → external connections
• Subagents → delegated tasks
• Hooks → automation
• Memory → persistent context Real AI systems are orchestration layers. Via Giuliano Liguori (
@ingliguori
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Claude Mythos suggests better research directions 64% of the time
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The most interesting result in Anthropic's latest paper isn't the 8x increase in code output.
It's this:
Claude Mythos Preview suggested a better research direction than humans 64% of the time.
We're moving beyond AI that writes code.
We're approaching AI that helps decide -
AI confidence vs accuracy: a humbling reality check
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AI Reality Check
User: "Are you sure?"
AI: "Absolutely."
User: "Can you verify it?"
AI: "Absolutely."
User: "Can you show the source?"
AI: "…"
Confidence ≠ Accuracy.
What's the most confidently wrong AI answer you've ever received?
#AI #LLM #GenerativeAI -
LLM Wiki: future AI memory replaces retrieval with compilation
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity -
Which AI model to trust for autonomous workflows?
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AI AGENTS Which model would you trust for autonomous workflows today? Claude Opus 4.8 GPT-5.5 Qwen 3.7 Max GLM 5.1 Planning, tools, MCP, reasoning, multi-step execution… Which one are you actually using and why? #AIAgents #AgenticAI #LLM #GenAI
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AI deployment lacking ROI measurement reality check
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AI Reality Check CEO:
"We deployed AI." Consultant:
"What's the ROI?" CEO:
"…" Many companies measure licenses, users and deployments. Few measure revenue impact, productivity gains or time saved. How are you measuring AI success? #AI #ROI #EnterpriseAI