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Gemini Enterprise Agent Platform vs. IBM Maximo Application Suite

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Gemini Enterprise Agent Platform

    Score8.9 out of 10
    N/AThe Gemini Enterprise Agent Platform is a fully-managed, unified environment designed for the development, orchestration, and governance of Autonomous AI Agents. The platform consolidates AI Studio, Agent Builder, and a diverse Model Garden to support the creation of complex, multi-agent systems grounded in enterprise data and business logic.

    $0

    Starting at

    IBM Maximo Application Suite

    Score7.6 out of 10
    N/AIBM Maximo Application Suite is an enterprise asset management (EAM) platform.N/A
    Pricing
    Gemini Enterprise Agent PlatformIBM Maximo Application Suite
    Editions & Modules
    Imagen model for image generation
    $0.0001
    Starting at
    Text, chat, and code generation
    $0.0001
    per 1,000 characters
    Text data upload, training, deployment, prediction
    $0.05
    per hour
    Video data training and prediction
    $0.462
    per node hour
    Image data training, deployment, and prediction
    $1.375
    per node hour
    No answers on this topic
    Offerings
    Pricing Offerings
    Gemini Enterprise Agent PlatformIBM Maximo Application Suite
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsPricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.The IBM® Maximo® Application Suite (MAS) comes in two packages: client managed software or software as a service (SaaS). MAS is purchased using a simplified licensing and usage model leveraging a credit-based system called AppPoints. This provides the flexibility to easily add functionality and users, scale your business, and pay only for what you use with a single entitlement.
    More Pricing Information
    Community Pulse
    Gemini Enterprise Agent PlatformIBM Maximo Application Suite
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    93%
    Would buy again
    14 Answers
    93%
    Would buy again
    75 Answers
    Delivers good value for the price
    92%
    Delivers good value for the price
    12 Answers
    90%
    Delivers good value for the price
    57 Answers
    Happy with the feature set
    87%
    Happy with the feature set
    13 Answers
    93%
    Happy with the feature set
    75 Answers
    Lived up to sales and marketing promises
    78%
    Lived up to sales and marketing promises
    7 Answers
    89%
    Lived up to sales and marketing promises
    50 Answers
    Implementation went as expected
    86%
    Implementation went as expected
    12 Answers
    85%
    Implementation went as expected
    57 Answers
    Features
    Gemini Enterprise Agent PlatformIBM Maximo Application Suite
    AI Development
    Comparison of AI Development features of Gemini Enterprise Agent Platform and IBM Maximo Application Suite
    Feature
    Gemini Enterprise Agent Platform
    8.6
    2 Ratings
    14% above category average
    IBM Maximo Application Suite
    -
    Ratings
    Machine learning frameworks8.62 Ratings00 Ratings
    Data management9.12 Ratings00 Ratings
    Data monitoring and version control8.22 Ratings00 Ratings
    Automated model training9.12 Ratings00 Ratings
    Managed scaling7.72 Ratings00 Ratings
    Model deployment8.62 Ratings00 Ratings
    Security and compliance8.62 Ratings00 Ratings
    Best Alternatives
    Gemini Enterprise Agent PlatformIBM Maximo Application Suite
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    DataRobot
    Score8.2 out of 10
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    DataRobot
    Score8.2 out of 10
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    Gemini Enterprise Agent PlatformIBM Maximo Application Suite
    Likelihood to Recommend
    7.6
    (15 ratings)
    6.8
    (86 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    7.7
    (7 ratings)
    Usability
    -
    (0 ratings)
    9.5
    (6 ratings)
    Performance
    7.6
    (12 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    7.2
    (4 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (3 ratings)
    Configurability
    7.8
    (12 ratings)
    -
    (0 ratings)
    Ease of integration
    -
    (0 ratings)
    5.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    1.0
    (1 ratings)
    User Testimonials
    Gemini Enterprise Agent PlatformIBM Maximo Application Suite
    Likelihood to Recommend
    Google
    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
    Incentivized
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    IBM
    The software is very well-suited to asset lifecycle management and system condition monitoring. User-friendliness of the product and effectiveness in managing work orders. The software's pricing is much more affordable than that of other EAM systems. Many improvements are needed in the customer support services department. Delays in response are costly.
    Incentivized
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    Pros
    Google
    • 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
    Read full review
    IBM
    • Delivers Out-of-Box solutions for various industries without the need for customization and configuration
    • Modules and Applications are well developed and linked in an orderly way, with proper documentation and help guides that allow end users to start using the system with ease
    • Powerful Work Management, Contracts, Inventory, and Purchasing applications and features that are a better match to other ERP applications today
    Incentivized
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    Cons
    Google
    • 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
    Read full review
    IBM
    • Usually, we have problems with the mobile apps. For about seven out of ten customers, we need to use third-party mobile applications. It’s been a rollercoaster — Anywhere was terrible, then Maximo Mobile for 8 was pretty good, and now with Maximo 9, it’s problematic again. So it’s been ups and downs. But the good thing is that the architecture is open, so we can use third-party applications or even develop our own add-ons. Still, IBM could do this better.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    No answers on this topic
    IBM
    IBM Maximo Application Suite has provided a solution to our desire to consolidate the multiple applications serving the layers of the Procurement process we has been accustomed to using. By consolidating applications, licensing and software costs are reduced, and the overall headcount to support the various applications was able to be minimized.
    Incentivized
    Read full review
    Usability
    Google
    No answers on this topic
    IBM
    The IBM Maximo Application Suite is well known for inventory management solutions. This solution is in use by many corporations but mostly I have seen its use in Ports, defense and aerospace industries. Some of the benefits are 1. asset tracking is amazing 2. Maintenance cost is less 3. Reduced inspection costs 4. Less downtime 5. It allows customization 6 Simplify data management 7. Highly adaptable
    Incentivized
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    Performance
    Google
    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.
    Incentivized
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    IBM
    Depends on DB tuning, Query builds etc
    Incentivized
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    Support Rating
    Google
    No answers on this topic
    IBM
    I have regularly contacted IBM Support to report issues and raise requests for issues we face during project implementations. The response from them has overall been good and to the point, and they get back to us within a day or 2 and guide us through the process of fixing it or providing an interim fix of the product
    Incentivized
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    In-Person Training
    Google
    No answers on this topic
    IBM
    As expected, good content and instructions
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    IBM
    Implementation of IBM MAS as a service provider has been easy. The functionality in the OEM space has been the best of its class with all related modules and application subject to maintenance
    Incentivized
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    Alternatives Considered
    Google
    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.
    Incentivized
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    IBM
    As a computerized maintenance management system i do not have experience of any other system. The only experience I have is for Maximo and it works excellent for me. I am using many modules available in Maximo and all of these modules are almost fulfilling all of my business needs.
    Incentivized
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    Scalability
    Google
    No answers on this topic
    IBM
    i dont use it
    Incentivized
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    Return on Investment
    Google
    • 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
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    IBM
    • Being the core business of my organization, IBM Maximo had a complete ROI for our objectives. We are able to successfully maintain and offer multiple solutions based on our interaction with Maximo.
    • Based on our contracts, we are able to provide a great partnership with IBM thru Maximo and it's tools.
    • We are able to maintain our business with steady market growth based mainly on our offer of the IBM Maximo in various layers.
    Incentivized
    Read full review
    ScreenShots

    Gemini Enterprise Agent Platform Screenshots

    Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.Screenshot of ML model training and creation -  A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.