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Insights on AI, security, software architecture, and building what's next for ambitious businesses.
2167 articles · Page 1 of 109
32% Are Deploying AI Agents. 11% Are Scaling Them. The Gap Is the Business.
KPMG data shows 32% deploying AI agents but only 11% scaling. Discover the six breaks between pilot and production and how to close the gap with fractional CTO
Agents Don't Query Your Warehouse — They Query Your Semantic Layer
Agentic analytics fails when AI hits raw warehouse schemas. PADISO’s reference architecture shows how a governed semantic layer makes AI trustworthy — and why
The AI Board Pack a CTO Owes in 2026
The eight AI slides every board needs in 2026—spend, unit economics, agent incidents, model concentration, governance, talent, and the two decisions that drive
The AI-Readiness Diligence Checklist: What to Ask Before You Sign
A practical checklist of questions, artifacts, and evidence every deal team must demand on AI capability, data rights, model dependencies, and governance
BI Vendors Are Pricing AI Agents as Capacity, Not Seats: Recalculate Your TCO
Tableau's July 2026 agent-as-capacity shift rewrites BI TCO. Model a 400-seat deployment over 3 years under seat, capacity, and self-hosted Superset — with
Build an Internal MCP Registry Before Your Teams Build Two Hundred Servers
Stop MCP server sprawl before it starts. A step-by-step guide to building an internal registry with ownership, tool schemas, environment scoping, non-human
Cutting Model Spend 40-85% Without a Silent Quality Regression
A practical playbook for cutting LLM inference spend 40–85% with routing trees, caching, batching, and a CI eval gate that catches quality regressions before
A Due Diligence Framework for Healthcare AI Investments
A practical due diligence framework for PE firms and investors evaluating healthcare AI targets—clinical validation, PHI handling, model provenance
Exit Readiness in 2026: What Buyers Now Check on AI and Security
Buyers are rewriting diligence checklists around AI and security. This guide covers the artifacts you need 12 months before a process, what gaps cost you, and
Fractional CTO in Montreal: Technical Leadership for Quebec Scale-Ups
Montreal's AI research cluster, Law 25, and bilingual market demand a specific kind of fractional CTO. PADISO delivers hands-on technical leadership for Quebec
Fractional CTO in Toronto: Hiring Technical Leadership for Canadian Mid-Market
Discover how to hire a fractional CTO in Toronto for your mid-market company. Get local insights on costs, operating models, and AI-driven growth from PADISO's
Fractional CTO in Vancouver: Technical Leadership for BC Scale-Ups
BC scale-ups get CTO-level leadership without the full-time cost. PADISO delivers AI strategy, cloud architecture, SOC 2 readiness, and measurable ROI—on
Inference Is 85% of Your AI Budget, and Capacity Is the Real Constraint
Inference consumes 85%+ of enterprise AI spend—not training. CFOs must understand capacity constraints, caching, batching, and context discipline to budget for
ISO 42001, SOC 2, or ISO 27001: What to Certify First When You Ship AI
A CTO's decision guide to picking between ISO 42001, SOC 2, and ISO 27001 when you have one compliance budget and AI features to ship. Covers costs, timelines
Killing Per-User Consent Screens: Enterprise-Managed Authorization for MCP
Replace per-user OAuth consent with IdP-brokered access for MCP. This guide covers the ID‑JAG token exchange, sequence diagram, IdP configuration, and the
The MCP Threat Model: Tool Poisoning, Confused Deputies, and Agent Supply Chain Risk
MCP threat model: tool poisoning, confused deputy attacks, prompt injection. Mitigations: allowlisting, egress control, human-in-the-loop.
Microsoft Fabric Capacity Economics, and When Superset Is Cheaper
A detailed TCO analysis of Microsoft Fabric F-SKU capacity pricing vs. self-hosted Apache Superset. Learn when Fabric wins, when Superset is cheaper, and how
Microsoft Foundry, Bedrock AgentCore, or Gemini Enterprise: Choosing an Enterprise Agent Platform
Compare Microsoft Foundry, AWS Bedrock AgentCore, and Google Gemini Enterprise on governance, model choice, pricing, and lock-in. A decision guide for
Superset Meets MCP: What the AI Workstream Means for Self-Hosted BI
How AI agents query self-hosted Apache Superset through the Model Context Protocol, why the semantic layer matters, what governance breaks first, and why
Technology Separation in a Carve-Out: What It Actually Costs
A detailed cost model for technology separation in carve-outs, with revenue-band benchmarks, TSA exit timing, and the three budget killers every PE firm must