56 minutesAI Agents in Finance with HPE's Chief Financial Officer (CFO)
Build an ROI case for one AI workflow with a baseline, direct and indirect benefits, quality gates and an explicit stop decision.
World Wide Technology. Connects build-or-buy choices to business outcomes, workload placement, cloud economics, data sovereignty, security, infrastructure readiness and hybrid operating models. That makes it a useful strategic companion for deciding when to buy a tool, extend a platform, build a thin custom layer or own more of the deployment stack.
The episode is strongest on private-vs-cloud infrastructure and enterprise readiness, not on every SME SaaS procurement case. Pair it with the article's scorecard so smaller teams still default to buying or extending commodity capability before committing to owned infrastructure.
Make AI build-vs-buy decisions around outcome, data control, workload economics, infrastructure readiness and operational ownership.
Basic understanding of SaaS AI tools, API-based systems, private AI, cloud cost tradeoffs and sensitive company data.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
56 minutesBuild an ROI case for one AI workflow with a baseline, direct and indirect benefits, quality gates and an explicit stop decision.
37 minutesEvaluate private AI as an infrastructure and governance decision instead of defaulting to either SaaS or self-hosting by instinct.
32 minutesUnderstand why serving engines, batching and KV-cache memory dominate self-hosted inference economics.
Hand-picked external courses that go deeper on this topic.
Emory University Goizueta Business School faculty
The deeper, university-level counterpart to our beginner HubSpot marketing pick — Emory's business-school treatment goes past 'how to prompt' into training generative models for brand-specific output, the purchase-funnel economics of AI-generated content, and a full module of genuine skepticism about when generative AI is and isn't worth using in marketing.
IBM AI Academy
The genAI-era answer to the executive-strategy question. Three short courses aimed squarely at business leaders — no technical background required — on where generative AI creates value, how to govern it responsibly, and how to turn a vague "we should use AI" into a concrete, defensible use case. Rated 4.6 across ~700 reviews. Best taken before your next AI budget decision.