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  • Google Cloud AI Platform Vs. Vertex AI

Google Cloud AI Platform Vs. Vertex AI

Profile picture for user Neil Stolovitsky
By: Neil Stolovitsky 06.09.2023
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Which Tool to Leverage in your NetSuite ERP AI Initiative?

 

Since the early 2000s Google has invested in the Artificial Intelligence (AI) and Machine Learning (ML) space developing its own research projects and investing in strategic acquisitions along the way.

By 2016, Google launched its Machine Learning Engine, later to be rebranded as Google Cloud AI platform in 2018. With the recent releases of Vertex AI, Google seeks to bridge the gap in their previous offerings currently delivered by Micirosoft and Amazon in this ever evolving AI/ML market.

In the artificial intelligence and machine learning space, Google offers two prominent tools for NetSuite ERP users entertaining and AI/ML initiative - the Google Cloud AI Platform and Google Vertex AI. Both Google solutions deliver versatile solutions for businesses and developers looking to leverage AI and ML in their organization.

Request More Info About AI for NetSuite
 

What is the Google Cloud AI Platform?

The Google Cloud AI Platform is a comprehensive suite of tools that encompasses the entire machine learning lifecycle, from data preparation and model development to deployment and monitoring. It's built to provide developers and data scientists with a complete technology platform to streamline the AI development process.

Key features of the Google Cloud AI platform include:

Diverse Framework Support

The platform supports a wide range of machine learning frameworks, including Google’s popular open source TensorFlow, scikit-learn, and XGBoost, catering to developers' preferences and requirements.

End-to-End Lifecycle Management

The Platform offers a holistic approach to machine learning projects. Developers can seamlessly move from data exploration and preprocessing to model training, deployment, and monitoring, all within the same platform. This integration is designed to accelerate the development cycle of created models.

Customizability

Built for experienced data scientists who require granular control over model development and training, the Cloud AI Platform allows for flexibility and deep customization of models.

What is Google Vertex AI?

Google Vertex AI is a newer offering in which Google aggregates their AI/ML tools under a single umbrella to deliver a more competitive offering in the highly evolving AI marketplace. It's designed to provide a more streamlined and efficient workflow, making AI development more accessible to everyone from newcomers to those with extensive machine learning expertise.

Here are some of the key features that make Google Vertex AI different:

Unified Platform

One major difference from Google Cloud AI, is that Vertex AI provides a unified platform that seamlessly integrates data preparation, model training, deployment, and monitoring. This significantly reduces the complexity of managing different components and services separately.

AutoML Capabilities

Vertex AI combines Google’s AutoML with its other AI/ML features enabling users with limited machine learning expertise to build high-quality models without deep technical knowledge. AutoML automates tasks like feature engineering, model selection, and hyperparameter tuning, opening AI development to a broader audience.

MLOps Focus

Vertex AI preaches an MLOps practice, ensuring that models are more efficiently deployed, monitored, and managed in production environments. This is believed to be essential for maintaining model accuracy and performance over time.

Which Google AI Tool Works Best for your NetSuite ERP AI initiative?

NetSuite ERP has been providing Artificial Intelligence (AI) capabilities through its intelligence cloud solutions, including customer item recommendations, AP automation, and intelligent interactions for reports.

However, organizations aiming to develop custom AI/ML initiatives and support their data scientists must integrate top-tier AI platforms with their ERP systems.

Leveraging powerful data warehouse and business intelligence solutions designed for NetSuite, businesses are able to bridge their critical ERP data with their current AI tools and ML models to differentiate themselves in the new Data Economy.

In light of this, both the Google Cloud AI Platform and Google Vertex AI are powerful tools that address different aspects of an organization’s custom AI development process when extracting data from their Netsuite ERP solution.

The choice between the two depends on the nature of your project, your team's expertise, and the level of control you require. The Google Cloud AI Platform offers extensive customization for seasoned data scientists, while Google Vertex AI excels in its simplicity, automation, and integration.

If you're primarily focused on building and deploying AI models with a strong foundation of tools, Google Cloud AI Platform could be your go-to choice. However, if you're aiming for a more integrated and streamlined approach with end-to-end MLOps capabilities and collaboration features, Vertex AI might be the ideal fit.

The inclusion of AutoML in Vertex AI democratizes AI development, allowing mid-market businesses on NetSuite ERP to harness the potential of AI without deep technical knowledge.

Whichever you choose, embracing AI in your ERP processes positions your business on a trajectory of enhanced efficiency, data-driven insights, and a sustainable competitive edge in the dynamic business landscape.

 

Click here to learn more about GURUS Solutions and how we can help your organization in its NetSuite ERP AI initiative.

Request More Info About AI for NetSuite
 

About Neil Stolovitsky

Neil Stolovitsky has over 20 years of IT experience with end-user, consulting, and vendor organizations, along with extensive expertise in Pre-Sales, Business Development, Product Marketing, Software Selection, and Channel Strategies. He has published numerous blogs, white papers and articles covering Business Intelligence, Enterprise Resource Planning (ERP), Professional Services Automation (PSA), Project Portfolio Management, IT Governance, and New Product Development to a global audience. Neil currently holds the position of Product Manager with GURUS Solutions.

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