AI Is Table Stakes. Data Quality Is the Difference.
AI adoption crossed 88% of organizations this year. Only 6% report real enterprise value from it. Sarita Benjamin and Greg Jaknunas break down why the gap is not adoption, it is the data underneath every AI decision, and hand engineering, procurement, and supply chain teams a two-quarter plan to close it.
What to expect
The Accuris Supply Chain leadership team is bringing you a working session on what inaction already costs engineering, procurement, and supply chain teams, and what the latest research shows about the growing gap between AI adoption and AI value.
In this session, Sarita Benjamin and Greg Jaknunas will walk through what inaction is already costing your program, what separates AI adoption from AI value, and the two-quarter workflow plan to close that gap starting this quarter.
What you will learn
- The exact math behind what inaction already costs your program: up to $250K per avoided obsolescence event and $15K per resolved end-of-life issue
- What the latest research from McKinsey, RAND, and MIT shows about the gap between AI adoption and AI value
- What verified data means in practice, and why generic AI tools confidently hallucinate part numbers, compliance flags, and supplier matches without it
- A two-quarter workflow plan you can start running in Q3, with the outcome to expect at each step
- Live Q&A with the Accuris Supply Chain leadership team
Details
- 60 minutes | Live | Tuesday, September 1 at 10:00 AM PST / 1:00 PM EST
- Presented by:
- Greg Jaknunas, Sr. Director of Product. Accuris Supply Chain Intelligence
- Sarita Benjamin, General Manager, Accuris Supply Chain Intelligence