Google Assistant for Developers vs. Gemini Enterprise Agent Platform

1. For quick timing and scheduling calls - As I can just say, ok google, I want to have a call with {teammate's name} today, can you find a. time of 30mins for me sometime this week?
2. Can you answer on the design pattern which Netflix uses for next video

Incentivized

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.

Incentivized

• To-do lists and task boards so I can work on it better, and can ask quickly on what I need to do.
• Saves time and increases efficiency - I can ask and can answer relevant answers
• Set-up meetings - quickly scheduling and checking for time which suits all people

Incentivized

• Vertex AI comes with support for LOTs of LLMs out of the box
• MLOps tools are available that help to standardize operational aspects
• Document AI is an out of the box feature that works just perfectly for our use cases of automating lots to tedious data extraction tasks from images as well as papers

Incentivized

• I think newer, complementary ideas are a bit sharper than Google Assistant especially in a Q&A environment or when seeking some depth to a subject. That enhancement is to be expected I feel. And Google Assistant is not so self limiting so I don't have a lot of improvement needs because I use this for what I've become accustomed to and for the ability overall.
• It is always important to do your best around hectic places, in bad tower signal areas or even if trying to do something new while using Google Assistant. Have patience in the setting. It pays off.

Incentivized

• Customization of AutoML models - A must needed capability to be able to tweak hyperparameters and also working with different models
• Model Explainability -Providing more comprehensive explanations about how models are utilizing features could be very beneficial
• Model versioning and experiments tracking - Enhancing the versioning capability could be good for end users

Incentivized

I feel this can be adjusted and after some trial and error you sort of start knowing what will work and how. And I have to say the overall impact becomes personal and we are all different. I'm small scale and as I've said, it works.

Incentivized

It's not always instant, but understandable when it's under heavy load. It's not impressive nor disappointing, just what is expected. But when calling this platform through API's for it to do the actions requested there is minimal delay and wait time. It feels very responsive and quick when integrating it with a call center chat platform for example.

Incentivized

This is where I would go next. And I think in functionality Google Gemini has a place. Especially so in this Newer AI driven world. I don't have any full force desire or usage on Google Gemini at the present. It is mostly what has been passed on to me in indirect ways.

Incentivized

we evaluating Vertex AI. we also considered several ML platforms that provide same capabilities for building and training, and deploying ML models. The main alternatives we evaluated were anti gravity Azure Machine Learning, and to a lesser extent open-source ML-Ops such as Kubeflow, very flexible and highly combustible, full customisation on cloud. we used chatgpt and claud AI ML, model also we observed many changes Vertex AI will be differ from this. we used all the products but Vertex AI will be differ on the ML model training and deployment.

Incentivized

• I'm about strategy and clarity in my projects and flexibility to change, enhance and correct. I get what I need in this via Google Assistant.
• When I need to get the word out or have a little extra done in real time I can easily use the feature via my voice commands while I'm doing something else simultaneously even in an environment where background noise and atmospheric clutter might be present. Clarity is pretty solid in my experience.
• I like to use as little as possible when it comes to Bluetooth, smart enhancements and such and having Google Assistant interact with my connected items is rather smooth as well.

Incentivized

• It has helped speed up the process of getting the exact image we need for our various marketing initiatives.
• Images are stored in our Google Cloud, which we use in our business anyways (makes it super easy to find/share)
• Google's security is always top notch. Even though it's just images, we still need the confidentiality of our creations.

Incentivized