Gemini Enterprise Agent Platform vs. HCL Unica

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

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I think it is wel suited for a business with a lot of one on one relations in the database. For example a supermarket that sells products to a client and gives a reduction on that product. It is nice if the selection process is not to complex and does not involve to many calculations. It is also nice if it is very clear what you want to follow up. In our environment we have lots of many-to-many relations. for example one product is held by more then one client. And that client might have more of those products with other clients. These kind of situation demands for a lot of calculations with derived fields(*), and there things go far too slow. Unica is probably not such a good solution for us, because our environment is too complex, and so is to process of creating the selection, we often have to change things in the selection flows. Because of the complexity it is difficult to see what the flow is exactly doing afterwoods, it also takes to much time to modify existing campaigns. The interface is not handy to work with, if you have long lists of variables, of tables or derived fields(*) you have to scroll through trough them, you can not really search them or reorder them. You can not drag and drop fields or other objects like derived fields in the flow, what would be easy if you have to make frequent changes to the proces flow. When you copy objects something the content of the object changes because the links with other objects or lost. (*) derived field: field to calculate something

• 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

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• Ability to translate Multiple SQL queries into a very easy to use visual GUI.
• Provides the ability to pre-define segments, run them once in off hours, store them in their own system tables for quick youth and a significant reduction in CPU utilization on the database.
• It’s use of Reusable objects. Including user variables to pre-define calculations one time, macros that you can create and pass values to parameterize the SQL code And the creation of templates to easily replicate work.
• It’s ability to bring in external data on the fly that can very easily be mapped into any flowchart.
• It’s flexibility and creating UNIX script via triggers to automate sending of files to multiple vendors with different FTP sites
• It’s flexibility in the output layouts that it can create.

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• 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

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• Greater integration of real time (Interact) capabilities with outbound channels, in particular IBM eMessage Email & SMS delivery.
• Additional outbound channels to be integrated into eMessage, including Facebook Fanpage & Twitter DM broadcasts. At the moment these are possible only through custom additional integration.
• Support for additional marketing database technology, e.g. MySQL, Exasol, ParAccel, WX2.
• Provision of database technology with software purchase, as Web technology (IBM WebSphere Express) is supplied for free, but no database is supplied - since IBM also market DB2, which is a supported technology it seems a shame.

There are three main factors to renew a licence: 1) Cost to migrate to another platform would be rather expensive and time consuming, plus the requirement of retraining employees to use a new tool 2) It has been proven time and time again that it is a market leader in the space (10 years +) 3) It can be built upon, with the addition of additional IBM EMM modules - despite theories it does have very strong digital capabilities.

Unica provides functionality that is very simple and easy to use. For reporting, we can see Unica system tables. Contact history table, response history tables. We have all the information in one place. Performance-wise, Unica also handles large volumes of data and can run a 5-million-record campaign within minutes. This is something great.

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Google is always top notch with their security and user interface performance. We use Google's entire suite in our business anyways, so using Vertex became second nature very quickly. I will say, though, that Google does need to come down on the price somewhat with their token allocation. Also, their UI is very robust, so it does require some time for training to really master it.

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I didn't use the Unica support since it is with IBM, only before.

- We had to rebuild a part of the datamart afterwards to tighten up and simplify the selection process. But as it was too time consuming to rebuild all the existing campaigns, we no run campaigns on different versions of the datamart. - The response tracking of the campaigns never worked out well, it was impossible to implement a direct response where there is a link between the lead and the response in our operational process

We tend to adapt and use the platform that suits the customers needs the best. We return to Vertex AI because it is the most in-depth option out there so we can configure it any which way they want. However, it is not quick to market and constantly changing or updating it's feature-set. This makes it suitable for bigger customers that have the capital and time to spend on a bigger project that is well researched and not quick to market like some of the other options that feel like a light-version of this.

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The contact history and the response history are so powerful. You can track whatever you want to help the call center to push relevant offers to our customer. In addition, predictive models can be built, with patience, in IBM Campaign. If you have some complaints from the call center about any campaigns, you can easily validate it into the contact or response history.

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Independently Invited by TrustRadius

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• It is pay as you go model so it'll save more cost of your org. In our case previously we used to incurred 1-2L/Month now we are reduced it to 80k-1L.
• It'll help you save your model training & model selection time as it provides pre-trained models in autoML.
• It'll help you in terms of Security wherein we can use row level security access to authorized persons.

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

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• It helps my clients drive their business which in turn, drives more profit for them.
• It helps my clients determine what works, and what doesn't work, in terms of their social marketing campaigns.
• It helps navigate proper budgeting through determining what clients' users respond to, and what they find unique.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info