“The hot topic was where to get started with AI and the importance of finding a quick win. Both Supplier Discovery and Contract Management surfaced as the lowest hanging fruit for the fastest win. The general consensus was to avoid AI projects that involve dependency on clean data.” – Roger Blumberg, Scoutbee
A series of quick wins is always nice. Or, for baseball fans, don’t swing for the fences. Instead, string together a series of singles and doubles, which is how you rack up the runs and win the game.
The question is, how do you get the hits? A bat alone won’t do it unless it’s in the hands of a skilled professional. Think of AI as that bat.
Earlier today, Spend Matters tagged me in a post about a “practitioner’s take on AI” and the “misnomers, mistruths, and mysteries around AI.”
No mystery exists when any technology from ANY ERA is in the right hands.
Here is the link to my full response: https://bit.ly/3VC3XON
However, this is a quick win case study for the DND’s national IT infrastructure contract:
✅ Improve SLA “next day” performance from 51% to 97.3% in 3-months
✅ Reduce MRO cost-of-goods by 23% year-over-year for 7 years
✅ Reduce FTE from 23 down to 3 in eighteen months
Here is the thing – this was in the late 1990s and early 2000s.
Granted that my government-funded research into strand commonality and the use of self-learning algorithms was a nascent step towards AI. How would today’s tech improve on the above?
“My answer may surprise you, but it isn’t the technology. As great as it is in the here and now, ten years from today, we will be looking back with the dismissive attitude we now have toward the floppy disk drive and portable DOS computers.” – Luis Lima, An Incredible Journey: How To Thrive And Succeed In the AI World
Only using a people-process-technology, agent-based model. The bat’s now in your hands. 🙂
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Procurement Insights
AI “Quick Wins” and Data Avoidance
Posted on March 28, 2024
0
“The hot topic was where to get started with AI and the importance of finding a quick win. Both Supplier Discovery and Contract Management surfaced as the lowest hanging fruit for the fastest win. The general consensus was to avoid AI projects that involve dependency on clean data.” – Roger Blumberg, Scoutbee
A series of quick wins is always nice. Or, for baseball fans, don’t swing for the fences. Instead, string together a series of singles and doubles, which is how you rack up the runs and win the game.
The question is, how do you get the hits? A bat alone won’t do it unless it’s in the hands of a skilled professional. Think of AI as that bat.
Earlier today, Spend Matters tagged me in a post about a “practitioner’s take on AI” and the “misnomers, mistruths, and mysteries around AI.”
No mystery exists when any technology from ANY ERA is in the right hands.
Here is the link to my full response: https://bit.ly/3VC3XON
However, this is a quick win case study for the DND’s national IT infrastructure contract:
✅ Improve SLA “next day” performance from 51% to 97.3% in 3-months
✅ Reduce MRO cost-of-goods by 23% year-over-year for 7 years
✅ Reduce FTE from 23 down to 3 in eighteen months
Here is the thing – this was in the late 1990s and early 2000s.
Granted that my government-funded research into strand commonality and the use of self-learning algorithms was a nascent step towards AI. How would today’s tech improve on the above?
“My answer may surprise you, but it isn’t the technology. As great as it is in the here and now, ten years from today, we will be looking back with the dismissive attitude we now have toward the floppy disk drive and portable DOS computers.” – Luis Lima, An Incredible Journey: How To Thrive And Succeed In the AI World
Only using a people-process-technology, agent-based model. The bat’s now in your hands. 🙂
30
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