Vertex AI

In our organisation we use Vertex AI to develop and deploy the ML models,its is very helpful and useful for our organisation,easy to automate the task and day to day activity,improving decision making and logical thinking,we using this AI different kind of scoop like data integration model training, monitoring and analysis part as well. we have analysed business level problem and strategic as well. reduced our manual works and implemented many automation's task and integrated with our internal product also.using this model agents will be deployed faster.improved our operation effect

we used Vertex AI on our automation process the model very useful and working as expected we have implemented in our monitoring phase this very helpful our analysis part. real time response is very effective and actively provide detailed overview about our products.this phase is well suited in our org. this model could not applicable for small level projects why because this model not needed for small level projects and without related resource of ML this model not useful. strictly on non cloud org not suitable means on pram not suitable

Vertex AI is the best AI, and I am currently using it for automation in Security Platforms, and it has the best accuracy to find vulnerabilities. The special in the Vertex AI is that we can train the model for our daily use case, and it is best in the output without false positives. We can use this to reduce the manpower and it will give the result within a few seconds according to our inputs. The best thing in the Vertex AI is pay as you go. It can be capable for the simple prompts and will give the results in a detailed manner. It will create the workflow for our daily tasks. Best AI with great accuracy.

In my regular activity, Vertex AI is missing some of the True Positive Alerts due to the ML training and needs to train more data sets, after it has reduced the false positives. To find the Zero day Vulnerability it has low accuracy and sometimes it misses the true positives. Once we have trained with the large data set, it came up with good results.

We do a lot of image generation for our various areas of marketing (website, social media, graphics for conferences/booth giveaways), and we love using Vertex AI's image editor. We've used other AI image generators in the past (such as Microsoft's and Chat GPT's), but we've found Vertex to be a lot more accurate with less amount of mistakes.

Vertex AI seems to be a lot more accurate with image editing versus other competitors (including free one). We do a lot of image creation, especially of dogs in very certain scenarios. We use Adobe Stock to get us started, but many times we need some very specific edits done to the image. We've found Vertex can produce those with a lot more precision than other AI image generators.

We work as experts of this platform and implement it in customers environments. It can range from banks to airlines so business use can vary a lot. Not one business is like the other so flexibility is a must for us, and we can quickly and easily see what platforms are adaptable and useful.

Since we have used this platforms in multiple scenarios we can confidently say that where this excels is when you want to combine free form Q&A bots with structured responses. Gemini shines through and stands tall with it's natural language model and accurate reading of knowledge base to provide the best answers to whatever prompt you can throw at it.

I have been working on Vertex AI for quite long now, It is one stop all data science solution,I did transformed multiple POCs to projects with Vertex AI only. At the same time, it has lot many bugs google team tough fixes but still it has many bugs

It's best tech I have used so far but requires thorough testing before production stage as it has many dependencies in the form of pre-built libraries and bugs

we have used Vertex AI in machien learning models to streamline and accelerate the development. Vertex AI is help us too automate few things in our project as well and we are using google cloud already it's super easy to integrate with big query and dataflow it makes allowing smooth data pipeline and machine learning process

our sales team want to predict customer churn but we don't have enough data scientist in organisation so we need some automation tool for ML process so we have used Vertex AI for train model it required minimal configuration and it's handle data processing model selection so we are able to analyse customer engagement and purchase history

I use Vertex AI to solve the problems of finding insight from multiple pdf document using a generative AI chatbot, GCP Document AI used for OCR which is costlier we later realized then we used their Gemini model as a large language model for answer generation but it also failed in generating answer at production, overall i am not satisfied with the Vertex AI services. It is ok for POC but not for production.

I generally don't recommend Vertex AI because of some previous failure experience their large language model is not good enough. i can only recommend their document AI which is quite good but pricing is too high. They should also improve their text to speech model just like elevenlabs.com if it is done then we can use it as a call center bot.

Vertex AI is used for Generative AI features such as summarizing notes and call logs or getting email suggestions on how to improve or change the tone. It also helps extract, outline, and classify data from spreadsheets.

In terms of building Gen AI products, Vertex AI is a solid platform. For example, in an ATS, Gen AI features such as Notes, Call Logs, or Email Summarization, generating Job Descriptions, generating Candidate Summaries, Targeted Email Campaigns, etc.

We use Vertex AI on a daily basis. Vertex AI workbench forms the best kind of a platform for our daily AI/ML development. So the product that we are working on requires us to experiment our code on GPU systems and Vertex AI workbench gives us the resources that are required. Business problems addressed - Document processing platform and Scope is anything and everything under the bracket of document processing.

Vertex AI maybe well suited for healthcare where you can facilitate medical image analysis because Vertex AI capabilities can be well used for predicting diseases and other such use cases be it prescription completion or other NLP applications. Vertex AI may not be suitable for applications where it needs customization of Auto ML models since we are not aware of the parameters used there.