Today’s post will not be long, but it will be very different and insightful because you will be the one writing it. By the way, this assignment or exercise is in and of itself a simple yet telling demonstration of the past, present, and future implementation process.
Within the answers to the following five questions, you will discover why most implementations fail and, more importantly, gain insight into how you can reverse that trend and succeed regardless of the technology platform.
“As a result, they avoided the trap of eVA becoming a software project, as Bob put it, and were thereby able to shift the emphasis from an exercise in cost justification to one of process understanding and refinement. And while the Ariba application has done the job it required, eVA’s effectiveness has little to do with the technology and more to do with the methodology the Virginia brain trust employed.” – Yes, Virginia! There is more to e-procurement than software! (Part 1) (September 2007)
Assignment Instructions
Open ChatGPT.
In the Message ChatGPT field, ask the following questions in the order listed. Enter one question at a time, read the answer, then ask the next question, and repeat the process until you have the answers to all five questions.
- Was Oracle a database application?
- What happened to dBase II?
- What were Industry Specific Applications?
- Why was the MAI Basic Four so popular?
- What happened to the MAI Basic Four?
Now, read just the answers for questions 1 through 5.
What is your takeaway from this exercise?
“Whenever I am asked what I think about the “evergreen” evolution of high-tech computing. My answer has always been the same – it’s not about the technology but the problems the technology solves. In other words, as great as the tech may be, it means nothing if it doesn’t come after people and process understanding. – Are you chasing solutions or solving problems? (Part 1 of 3) (October 2023)
“Of course, it will require modifying the “create once-use-many” architecture mindset that combines off-the-shelf mass-produced solutions with solutions that do not have an inherently ubiquitous broad application. This means that solution-provider business models must evolve to a more consultative approach and pricing versus the current features-functions-benefits square peg in a round hole model. In short, we must rethink what scalability means and what it looks like—especially if we intend to engage the underserved SME market.” – An Industry Veteran Poses A Tough Question About The Future Of AI (September 2024)
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Procurement Insights
The Five Most Important Questions To Understand the Future of AI procurement platforms
Posted on September 27, 2024
0
Today’s post will not be long, but it will be very different and insightful because you will be the one writing it. By the way, this assignment or exercise is in and of itself a simple yet telling demonstration of the past, present, and future implementation process.
Within the answers to the following five questions, you will discover why most implementations fail and, more importantly, gain insight into how you can reverse that trend and succeed regardless of the technology platform.
“As a result, they avoided the trap of eVA becoming a software project, as Bob put it, and were thereby able to shift the emphasis from an exercise in cost justification to one of process understanding and refinement. And while the Ariba application has done the job it required, eVA’s effectiveness has little to do with the technology and more to do with the methodology the Virginia brain trust employed.” – Yes, Virginia! There is more to e-procurement than software! (Part 1) (September 2007)
Assignment Instructions
Open ChatGPT.
In the Message ChatGPT field, ask the following questions in the order listed. Enter one question at a time, read the answer, then ask the next question, and repeat the process until you have the answers to all five questions.
Now, read just the answers for questions 1 through 5.
What is your takeaway from this exercise?
“Whenever I am asked what I think about the “evergreen” evolution of high-tech computing. My answer has always been the same – it’s not about the technology but the problems the technology solves. In other words, as great as the tech may be, it means nothing if it doesn’t come after people and process understanding. – Are you chasing solutions or solving problems? (Part 1 of 3) (October 2023)
“Of course, it will require modifying the “create once-use-many” architecture mindset that combines off-the-shelf mass-produced solutions with solutions that do not have an inherently ubiquitous broad application. This means that solution-provider business models must evolve to a more consultative approach and pricing versus the current features-functions-benefits square peg in a round hole model. In short, we must rethink what scalability means and what it looks like—especially if we intend to engage the underserved SME market.” – An Industry Veteran Poses A Tough Question About The Future Of AI (September 2024)
30
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