Here is the link to yesterday’s post – Is Generative AI A Threat To ProcureTech Solution Providers?
If you haven’t yet read it, please do so. It provides essential context for today’s post.
“The adoption of Generative AI (GenAI) in procurement is accelerating, with a significant number of ProcureTech solution providers promoting its benefits.” (Source: ChatGPT)
In yesterday’s post (and the one before), I shared the assessment of several ProcureTech solution providers. Almost all calls and corresponding feedback ranged from “How could you write this about me—perhaps you don’t properly understand our solution” to “You should be careful about what you are writing to ensure it is accurate.”
These are fair statements – there is only one problem: the solution providers responding to my posts, the same ones heavily promoting the incredible promise of using their Generative AI platforms, go silent when I tell them that I didn’t write the assessment of their company. ChatGPT wrote it based on an in-depth search of the Internet.
Once again, the silence is deafening.
Bridging The Contradictions
In 2005, I wrote a paper titled Acres Of Diamonds: The Value Of Effectively Managing Low-Dollar, High Transactional Volume Spend. Besides finding the paper as relevant today – if not more so than in 2005, I want you to focus on the market research and corresponding graphs identifying the two core commodity characteristics: Dynamic Flux and Historical Flatline.
Many hours were spent researching that data from many sources. It was then analyzed and verified in subsequent real-time transactions based on the feedback of self-learning algorithms. In short, it ultimately took human effort, insight, and experience to produce tangible results. Today, all Generative AI (and Agentic AI) does is speed up the data-gathering process with an interpretive assessment that STILL requires H-U-M-A-N verification. It is an advanced tool, but a tool nonetheless.
Unfortunately, most ProcureTech solution providers’ demos, case studies, and promotional material don’t say what I did above. Instead, they share information like the following:
“Deloitte’s Findings: A report from Deloitte reveals that 92% of procurement leaders are planning and assessing GenAI capabilities in 2024, reflecting a growing recognition of AI’s integral role in modern procurement.” (Source: ChatGPT)
So, how do we bridge this contradiction of acceptance?
In a recent panel discussion, I stated that Millennials and Gen Z provide a bright future for our profession because they embrace the answer—human-driven agent-based solution development and implementation.
Back to you for comment.
30
Procurement Insights
If ProcureTech Solution Providers Don’t Trust GenerativeAI Why Should Practitioners?
Posted on December 9, 2024
0
Here is the link to yesterday’s post – Is Generative AI A Threat To ProcureTech Solution Providers?
If you haven’t yet read it, please do so. It provides essential context for today’s post.
“The adoption of Generative AI (GenAI) in procurement is accelerating, with a significant number of ProcureTech solution providers promoting its benefits.” (Source: ChatGPT)
In yesterday’s post (and the one before), I shared the assessment of several ProcureTech solution providers. Almost all calls and corresponding feedback ranged from “How could you write this about me—perhaps you don’t properly understand our solution” to “You should be careful about what you are writing to ensure it is accurate.”
These are fair statements – there is only one problem: the solution providers responding to my posts, the same ones heavily promoting the incredible promise of using their Generative AI platforms, go silent when I tell them that I didn’t write the assessment of their company. ChatGPT wrote it based on an in-depth search of the Internet.
Once again, the silence is deafening.
Bridging The Contradictions
In 2005, I wrote a paper titled Acres Of Diamonds: The Value Of Effectively Managing Low-Dollar, High Transactional Volume Spend. Besides finding the paper as relevant today – if not more so than in 2005, I want you to focus on the market research and corresponding graphs identifying the two core commodity characteristics: Dynamic Flux and Historical Flatline.
Many hours were spent researching that data from many sources. It was then analyzed and verified in subsequent real-time transactions based on the feedback of self-learning algorithms. In short, it ultimately took human effort, insight, and experience to produce tangible results. Today, all Generative AI (and Agentic AI) does is speed up the data-gathering process with an interpretive assessment that STILL requires H-U-M-A-N verification. It is an advanced tool, but a tool nonetheless.
Unfortunately, most ProcureTech solution providers’ demos, case studies, and promotional material don’t say what I did above. Instead, they share information like the following:
“Deloitte’s Findings: A report from Deloitte reveals that 92% of procurement leaders are planning and assessing GenAI capabilities in 2024, reflecting a growing recognition of AI’s integral role in modern procurement.” (Source: ChatGPT)
So, how do we bridge this contradiction of acceptance?
In a recent panel discussion, I stated that Millennials and Gen Z provide a bright future for our profession because they embrace the answer—human-driven agent-based solution development and implementation.
Back to you for comment.
30
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