Okay, I will start this post in one direction, seemingly go off on another track, and then return to the original starting point. Trust me, there is a logical tie-in and a-ha moment.
Here Is The First Part – Analyst resets outlook for 3 huge tech stocks
The analysts believe estimates for future earnings for the trio of Mag 7 stocks underestimates new AI system costs – Charley Blaine, The Street (Updated:Jul 16, 2024 9:59 PM EDT)
Analysts look deeply into the earnings details of companies, looking for numbers that can subtly affect a company’s stock performance.
Barclays analysts on Tuesday flagged depreciation expenses related to artificial intelligence that may affect three Magnificent 7 companies’ results in the next year or so.
The companies affected are Amazon.com (AMZN) , Google-parent Alphabet (GOOGL) and Facebook-parent Meta Platforms (META) .
Also, the Barclay’s group, led by Ross Sandler, believe earnings will be affected as head counts will start to “normalize” as the companies invest in new AI equipment and facilities in 2025 and 2026. That may require more staff to make the systems work.
Remember to keep the above in mind as I now introduce the second part of today’s post.
Here Is The Second Part – Data democratization, data virtualization, and Ozempic
At my end-of-evening review of the day’s emails, the following one stood out. Keep in mind one thought as you read it – data by itself, cleansed, unified, or otherwise, tells you nothing!
In doing further research into the provider’s solution, two terms kept popping up – data democratization and data virtualization.
Data democratization is the ongoing process of enabling everybody in an organization, irrespective of their technical know-how, to work with data comfortably, to feel confident talking about it, and, as a result, make data-informed decisions and build customer experiences powered by data. – Amplitude
Data virtualization is an umbrella term used to describe an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data. – TechTarget
What does the above actually tell you?
Gathering and accessing data doesn’t magically bring understanding and insight. Data is not a magical powder that, when generously sprinkled throughout an organization, will bring a new day of “enlightenment” for everyone. What is presented above is just another variation of the technology-driven, equation-based approach that has contributed to the generational high rate of initiative failure.
Think of it this way: The text in a book on statistics may be 100% accurate, but that doesn’t mean I will understand it, let alone convert it to any beneficial outcome.
The only way to gain meaningful traction and value is to use an agent-based model, in which technology and data are the last rather than the first steps in transforming your procurement practice. To put it another way, stop chasing solutions!
Back To The First Part
The other day, I talked to someone who said focusing on data-driven solutions is similar to taking Ozempic. At first, it seems to work great, but then you get hit with the side effects.
In the case of AI-driven solutions like the one in the earlier-referenced email, are these perhaps the start of emerging side effects:
- Depreciation expenses related to artificial intelligence
- Earnings will be affected as head counts will start to “normalize” as the companies invest in new AI equipment and facilities in 2025 and 2026. That may require more staff to make the systems work.
Here is one final thought: Gartner predicted that 85% of all AI initiatives are and will fail.
Today’s key takeaway is that agent-based, not equation-based, initiatives always succeed.
30
Procurement Insights
Data democratization, data virtualization, and Ozempic
Posted on July 17, 2024
0
Okay, I will start this post in one direction, seemingly go off on another track, and then return to the original starting point. Trust me, there is a logical tie-in and a-ha moment.
Here Is The First Part – Analyst resets outlook for 3 huge tech stocks
The analysts believe estimates for future earnings for the trio of Mag 7 stocks underestimates new AI system costs – Charley Blaine, The Street (Updated:Jul 16, 2024 9:59 PM EDT)
Analysts look deeply into the earnings details of companies, looking for numbers that can subtly affect a company’s stock performance.
Barclays analysts on Tuesday flagged depreciation expenses related to artificial intelligence that may affect three Magnificent 7 companies’ results in the next year or so.
The companies affected are Amazon.com (AMZN) , Google-parent Alphabet (GOOGL) and Facebook-parent Meta Platforms (META) .
Also, the Barclay’s group, led by Ross Sandler, believe earnings will be affected as head counts will start to “normalize” as the companies invest in new AI equipment and facilities in 2025 and 2026. That may require more staff to make the systems work.
Remember to keep the above in mind as I now introduce the second part of today’s post.
Here Is The Second Part – Data democratization, data virtualization, and Ozempic
At my end-of-evening review of the day’s emails, the following one stood out. Keep in mind one thought as you read it – data by itself, cleansed, unified, or otherwise, tells you nothing!
In doing further research into the provider’s solution, two terms kept popping up – data democratization and data virtualization.
Data democratization is the ongoing process of enabling everybody in an organization, irrespective of their technical know-how, to work with data comfortably, to feel confident talking about it, and, as a result, make data-informed decisions and build customer experiences powered by data. – Amplitude
Data virtualization is an umbrella term used to describe an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data. – TechTarget
What does the above actually tell you?
Gathering and accessing data doesn’t magically bring understanding and insight. Data is not a magical powder that, when generously sprinkled throughout an organization, will bring a new day of “enlightenment” for everyone. What is presented above is just another variation of the technology-driven, equation-based approach that has contributed to the generational high rate of initiative failure.
Think of it this way: The text in a book on statistics may be 100% accurate, but that doesn’t mean I will understand it, let alone convert it to any beneficial outcome.
The only way to gain meaningful traction and value is to use an agent-based model, in which technology and data are the last rather than the first steps in transforming your procurement practice. To put it another way, stop chasing solutions!
Back To The First Part
The other day, I talked to someone who said focusing on data-driven solutions is similar to taking Ozempic. At first, it seems to work great, but then you get hit with the side effects.
In the case of AI-driven solutions like the one in the earlier-referenced email, are these perhaps the start of emerging side effects:
Here is one final thought: Gartner predicted that 85% of all AI initiatives are and will fail.
Today’s key takeaway is that agent-based, not equation-based, initiatives always succeed.
30
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