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What is Plat.AI?

Plat.AI operates as an agile decision-making platform that delivers tailored and sustainable AI solutions for diverse platforms, accommodating users with different levels of expertise. Thanks to our cutting-edge model builder, rapid results are achievable, empowering you to make informed choices without needing any coding skills. Our platform allows you to effortlessly leverage data intelligence, enabling the creation and launch of a customized automated model in as little as five minutes, which simplifies complex processes into manageable tasks. Designed for self-service, our system harnesses your data to support immediate decision-making while maintaining compatibility with your existing platforms and systems. You can anticipate having your model up and running within a month, tapping into the power of real-time predictive analytics that can greatly improve your decision-making capabilities. A key feature of top-tier analytics software is its emphasis on transparency; we provide advanced deep learning options for those who seek them, yet remain committed to clarity about the fundamental processes involved. Moreover, we offer comprehensive support throughout every step of your journey in building, deploying, and maintaining your custom model, ensuring you receive guidance and assistance whenever needed, allowing you to focus on your core objectives. With Plat.AI, you can experience a seamless blend of advanced technology and user-friendly interfaces that make sophisticated analytics accessible to everyone.

What is IBM Cloud Pak for Data?

A significant challenge in enhancing AI-fueled decision-making is the insufficient use of available data. IBM Cloud Pak® for Data offers an integrated platform featuring a data fabric that facilitates easy connection and access to disparate data, regardless of whether it is stored on-premises or in multiple cloud settings, all without the need to move the data. It optimizes data accessibility by automatically detecting and categorizing data to deliver useful knowledge assets to users, while also enforcing automated policies to ensure secure data utilization. To accelerate insight generation, this platform includes a state-of-the-art cloud data warehouse that integrates seamlessly with current systems. Additionally, it enforces universal data privacy and usage policies across all data sets, ensuring ongoing compliance. By utilizing a high-performance cloud data warehouse, businesses can achieve insights more swiftly. The platform also provides data scientists, developers, and analysts with an all-encompassing interface to build, deploy, and manage dependable AI models across various cloud infrastructures. Furthermore, you can enhance your analytical capabilities with Netezza, which is a powerful data warehouse optimized for performance and efficiency. This holistic strategy not only expedites decision-making processes but also encourages innovation across diverse industries, ultimately leading to more effective solutions and improved outcomes.

Media

Media

Integrations Supported

Integrations Supported

Datamatics Trade Finance
IBM Control Desk
IBM Db2 Big SQL
IBM Db2 Event Store
IBM InfoSphere Information Governance Catalog
IBM Netezza Performance Server
IBM Storage Software Suite
IBM WebSphere Commerce

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$699 per month

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Plat.AI

Company Location

United States

Company Website

plat.ai/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/cloud-pak-for-data

Categories and Features

Predictive Analytics

Not specified

Categories and Features

AI Governance

Not specified

Big Data

Not specified

Data Fabric

Not specified

Data Integration

Not specified

Data Science

Not specified

Data Virtualization

Not specified

Machine Learning

Not specified

Predictive Analytics

Not specified

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