S&P Global Energy

From finding information to building the answer

Most AI discussions in the energy sector eventually arrive at the same high-level question:

“What can the technology do?”
 
A more useful question might be:
“Which parts of our workflow could we make easier today?”
 
Commodity professionals have access to more information than ever but turning that information into something useful can still mean moving between datasets, research, documents and tools before bringing everything together into an analysis, briefing or decision.
 
What if more of that work happened as one connected workflow?
 
Join us on 3 November and see it in action.

In this live webinar, Applied AI and Connected Commodity Workflows, we will move beyond the AI discussion and demonstrate four worked examples using S&P Energy data, research and connectors. The examples will be run live rather than described in the abstract.
 
What you'll see live

  • Market Monitoring: Tracking crude flows alongside regional pricing and freight spreads.
  • Data Analysis: Reconciling upstream supply curves with project activity and valuation models.
  • Briefing Generation: Drafting an executive-ready gas and LNG brief tailored to different desks.
  • Scenario Evaluation: Modeling the immediate portfolio impact of an unexpected Brent price shift.

Why attend?

Because the opportunity with applied AI isn't simply getting an answer faster. It is reducing the work between the question and the analysis you can actually use.

During the session, you'll see how a common data, research and connector layer supports different commodity workflows. The webinar will also cover grounding and provenance, with demonstrated figures carrying their dataset and as-of date. Access to individual datasets remains dependent on entitlement.
 
What you'll take away

By the end of the session, you'll have seen:
  • How applied AI can support market monitoring, analysis, briefing generation and scenario evaluation.
  • How data, research and connectors can operate as part of the same workflow.
  • How figures can retain dataset attribution and as-of dates within the demonstrated workflows.
  • Where applied AI can add value to commodity workflows and where expert judgement still matters.
No prior AI experience is assumed.

FREE ONLINE WEBINAR STARTS IN


Speakers from S&P Global Energy

Laura Mora_.jpg
LAURA MORA
Senior Manager - AI & Data Distribution
 
Martin Ginesta.jpg
MARTIN GINESTA
Senior Specialist- Artificial Intelligence & Data Distribution
 
 

Agenda

10:00am

Welcome and the shift in the workflow

  • From finding data to assembling an answer: what actually changed
  • Where applied AI earns its place on a commodity desk, and where it does not
  • How the session runs, and how to put questions in

10:04am

The connected stack: data, research and connectors

  • What a connector is in practice, and what it does to a workflow you already run
  • S&P Energy datasets available as callable tools rather than downloads
  • Grounding and provenance: every figure carries its dataset and as-of date

10:10am

Market monitoring: crude flows through the Strait of Hormuz - LIVE

  • Volumes transiting the Strait, read against prices, freight and country risk in one place
  • Ranked by what changed since yesterday, then saved as a standing view of the chokepoint
  • Draws on: cargo tracking · market data · oil risk · news and heards

10:18am

Data analysis: upstream cost of supply - LIVE

  • Operators ranked on cost of supply, checked against activity and valuation in the same pass
  • One charted, sourced view rather than four extracts stitched together
  • Draws on: cost of supply · well and field data · asset valuation · price forecasts

10:26am

Briefing generation: gas and LNG morning brief - LIVE

  • The European open assembled once, then rendered as a desk brief, a client note and an internal update
  • House style, every figure cited, scheduled to arrive before the desk asks for it
  • Draws on: LNG netbacks, outages and forecasts · market data · storage and balances · weather

10:33am

Scenario evaluation: a Brent price move and company exposure - LIVE

  • A price shock pushed through forecasts, cost of supply and valuation to see who carries the exposure
  • Set against what management and the street already say, with the limits of the analysis stated
  • Draws on: energy price forecast · cost of supply and valuation · company consensus and earnings commentary

10:40am

Types of connector, and what each one unlocks

  • Market and analytics: assessments, forecasts and balances, called directly rather than downloaded
  • Physical and asset: cargo tracking, wells and fields, plant and refinery capacity, outages and flows
  • Research and document: news, heards, subscriber notes and your own document library
  • Workplace: mail, files, chat and CRM, so the output goes into the tools you already use
  • Custom: wrapping your own internal API so proprietary positions and models join the same stack
  • Entitlement stays the boundary: a connector only ever returns what your license covers

10:45am

Open Q&A - Discussion

Questions taken live, including anything put in during the demonstrations