Vertex AI's prediction power is superior!
March 13, 2024
Vertex AI's prediction power is superior!
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Vertex AI
Mainly at [...] we currently have two problems that we are satisfying thanks to Google's Vertex AI and ML (machine learning), on the one hand we maintain a large amount of data in immense volumes of facilities and productions, logistical data, exploration data, exploitation data, volumes of loading, etc., Vertex AI helps us on the one hand with batch prediction, thanks to the data maintained, being able to generate an early conclusion so that extractors can quote new areas of exploitation with the data that we already maintain, on the other hand the significance of generating a Greater efficiency is the key to the optimization that the program produces, a purer line of work can be generated, that is, in the logistical issue, being able to generate inventory ordering much faster with the program, I would say that the capacity of people saved in the process is more than 10 and the program does it alone.
- ML models developed with Vertex AI can assess and mitigate risks associated with oil exploration and production activities. That is, it can generate savings from clumsy investments thanks to its advance prediction.
- The predictions are quite accurate, the more data that is generated and included, the ML makes much more accurate decisions than a human could make in months.
- Prediction learns from mistakes and voluntarily predicts new ways.
- [...] can use Vertex AI to develop ML models for monitoring and reducing environmental impact. These models can analyze data from sensors, satellite imagery, and other sources to detect anomalies, assess environmental risks, and recommend strategies for minimizing pollution and mitigating environmental damage.
- This is very positive.
- Vertex AI I believe is in its initial stages, I wonder where the multi-access is? multi-credentials so that several teams can join together en masse to lead the contribution of data in their own fields? I think that today is a time for executive decision-making, but every member of the company should be open and able to enter and give feedback.
- It requires a large volume of data initially, if we buy a program it should already come with a basic learning base about a certain industry, for example, oil in our case, I think this is essential for the future of AI competition or the ml
- Clear savings of 10 men for each exploration prediction, the work capacity is superior, never in history has so few personnel been required to make big decisions, I think this will be better in the future.
- Losses mitigated by over a million dollars the second month of use, fascinating.
- Greater speed of work for us developers, the research part is generated by the application by itself by 40%, the hours saved are transformed into hours for more product development, more programmatic writing, more prototypes and more workflow for the area of it
Do you think Vertex AI delivers good value for the price?
Yes
Are you happy with Vertex AI's feature set?
Yes
Did Vertex AI live up to sales and marketing promises?
Yes
Did implementation of Vertex AI go as expected?
Yes
Would you buy Vertex AI again?
Yes