COOPERATION MODEL
ARTIFICIAL INTELLIGENCE
PRODUCT ENGINEERING
DATA & BI
DevOps & Cloud
LOW-CODE/NO-CODE DEVELOPMENT
USE CASES
FRONTEND DEVELOPMENT
CLOUD DEVELOPMENT
EMERGING TECHNOLOGIES
Best 10 Artificial Intelligence Platforms for Business of 2024
5 mins read
Last updated June 2, 2024
This article explores the best AI platforms for building, deploying, and optimizing AI applications. We will discuss what AI applications are and also explain how AI platforms differ from AI tools.
In short, AI platforms include software, frameworks, and services required to build AI apps.
According to a McKinsey report, AI will add a staggering $25.6 trillion to the global economy by 2027. At the same time, with automation gaining traction, another study suggests that around two-thirds of jobs could be influenced by AI-driven automation in the near future.
The growing demand for AI tools reflects a strategic shift among small businesses. Businesses are increasingly integrating AI across various services to strengthen their operations. Meanwhile, enterprises are focusing on innovation and tackling complex challenges through AI technology.
AI platforms enable training data, deep learning, and machine learning (ML) development. They significantly reduce both the time and costs associated with development efforts. These platforms offer a range of options, from open-source solutions to custom-built ones.
Let's explore the best AI platforms in 2024.
AI refers to a broad field of computer science that aims to create intelligent programs. These programs are capable of mimicking human cognitive functions like learning, problem-solving, and decision-making.
These programs include various AI technologies like machine learning, computer vision, and natural language processing. Examples of AI in action include chatbots that can hold conversations and self-driving cars that navigate roads.
An AI platform is a software suite that provides tools and functionalities specifically designed to develop, test, deploy, and manage AI applications.
They leverage AI technology, which includes several methods and techniques, to perform tasks that traditionally require human intelligence. This includes machine learning, natural language processing, computer vision, robotics, and more.
Popular AI platform examples are Google Cloud AI Platform, Amazon SageMaker, and Microsoft Azure Machine Learning.
AI platforms empower businesses to develop innovative data analysis, prediction, and automation solutions. This can lead to new products, services, and improved efficiency, giving them a competitive edge.
From Microsoft Azure to ChatGPT, the top 10 AI platforms for businesses for AI development are below.
Microsoft Azure AI is a cloud computing platform for AI development. It provides tools and infrastructure for building custom AI models, integrating pre-built AI services, and developing intelligent solutions.
Its suite of services includes AI software, features, and frameworks designed to develop, deploy, and maintain AI applications. Moreover, it has different AI services covering the entire development lifecycle. From data preparation to model training, deployment, and monitoring, Azure streamlines AI workflows.
Azure simplifies the process of using AI in your applications. With its pre-built AI models, like Azure Cognitive Services, you can easily add features like understanding natural language and analyzing images to your apps. This is even possible if your team doesn't have a deep background in AI development.
It works with popular tools and frameworks like Python and TensorFlow, making it familiar and easy for developers to use.
In addition, it provides powerful analytics tools to help you understand what your AI is doing. This allows businesses to optimize processes, improve customer experiences, and uncover new opportunities – all driven by data-driven insights.
Amazon Web Services (AWS) SageMaker is a fully managed service that provides developers and data scientists with the tools to build, train, and deploy machine learning models at scale.
It offers a range of capabilities, such as data labeling, model training, and model hosting. SageMaker provides an integrated development environment (IDE) for building and iterating on models, along with managed infrastructure for training and deployment, making it easier for businesses to leverage AI technologies in their applications.
IBM Watson is a multifaceted platform by IBM. It offers a range of tools and services for artificial intelligence (AI) development. Developers can leverage pre-trained AI models for tasks like natural language processing and image recognition, while also having the capability to build and train custom models using their own data.
Furthermore, the platform provides infrastructure for deploying and managing AI models in production environments and tools for monitoring performance.
Google Cloud AI covers the entire AI development lifecycle, from data preparation and model training to deployment and management. This cloud-based solution is used by more than 60% of Gen AI startups, nearly 90% of Gen AI unicorns, and around 60% of the world's 1,000 largest companies.
It offers different services for training, testing, and developing generative AI tools. Its key features include Vertex AI, a unified platform for building machine learning models, and pre-built APIs designed for natural language processing and image recognition tasks.
Additionally, it provides services such as cloud storage for training data and access to high-powered computing resources like Tensor Processing Units (TPUs).
Google Cloud AI is an excellent choice for data scientists, AI developers, and business leaders.
Google's TensorFlow is an open-source AI platform for creating ML models that can run on desktop, mobile, web, and cloud. It provides scores of data tools to preprocess, clean, and consolidate data.
Created by the Google Brain team, TensorFlow is widely used in training models. This library is well-suited for large-scale machine learning and numerical computation. It provides a library with pre-trained models that you can use in your projects.
With this platform, developers can develop, customize, and optimize their existing Ml models.
DataRobot is one of the best AI platforms for developing and deploying AI applications end-to-end. It offers a wealth of tools for every stage of an AI project's lifecycle.
It provides personalized solutions for any industry to solve their most pressing problem with AI solutions.
It includes Automated Machine Learning (AutoML), which tests and builds multiple machine-learning models autonomously.
DataRobot is an end-to-end platform for AI/ML development. It provides developers with tools for every stage of an AI project's lifecycle, spanning from data preparation and model construction to deployment and monitoring.
Furthermore, it prioritizes user-friendliness for business users, making it easy to use even for those who may not have a deep understanding of data science.
H2O.ai is a free, open-source platform for machine learning built to handle large amounts of data. It's designed to scale seamlessly and supports popular algorithms like gradient-boosted machines, linear models, and deep learning. With its AutoML feature, H2O can automatically test different algorithms and settings to find the best models. It's popular in the R and Python communities.
NVIDIA GPU Cloud (NGC) is a library that works with NVIDIA GPUs, which are essential for tasks involving artificial intelligence (AI). Inside NGC, you'll find everything needed for AI development, like popular frameworks PyTorch and TensorFlow for building AI models. Software Development Kits (SDKs) contain tools and libraries tailored to different applications or frameworks.
Moreover, NGC offers pre-trained AI models, scripts to automate tasks, and tools for High-Performance Computing (HPC). NGC speeds up the AI development process by gathering all these resources in one place. However, it's important to note that NGC is a library for accessing software, not an AI development platform itself.
Oracle AI is a cloud-based set of tools and services for artificial intelligence (AI). It offers ready-to-use machine learning models designed for common business tasks, which can be adjusted to meet specific needs.
Within Oracle AI, there are large language models (LLMs) tailored for business use. These models blend general language skills with industry-specific knowledge from Oracle's extensive resources.
You will get access to tools and infrastructure for easily integrating AI features into their applications. With a focus on scalability, data security, and management, Oracle AI seamlessly integrates with existing Oracle cloud services, providing users with a cohesive experience.
PyTorch is a user-friendly open-source framework for building and deploying artificial intelligence (AI) models. With PyTorch, businesses can easily create and customize machine learning models for image recognition, natural language processing, or other AI applications.
Its efficient GPU acceleration and support for pre-trained models enable businesses to achieve fast and reliable results. Plus, PyTorch seamlessly integrates with existing systems and workflows, making it a versatile choice for businesses looking to incorporate AI capabilities into their products and services.
Pre-built AI platforms offer a great alternative to building AI solutions from scratch. These platforms save time and effort, and they're cost-effective, too. This lets you focus on innovation and speed up your product development.
These mentioned platforms are easy to use and quick to integrate. They come with detailed documentation and support to help you set up smoothly.
Coming to the main point, when choosing the right tool, you need to know what you want to achieve. Are you looking to improve customer service, streamline operations, or maybe develop new products? Defining your objectives will give you a clear direction when exploring different platforms.
Once your objectives are defined, you can choose the right AI platform for your business. These solutions are ideal for developing and enhancing your existing AI development.
If you are looking for tailored AI solutions to meet your specific needs, our AI/ML development services provide comprehensive support, from initial consultations to deployment and beyond. We'll guide you through every stage, from planning to post-deployment optimization.
Are you curious how our customized AI development can transform your operations? Book a free consultation today to discuss your requirements and identify the ideal AI solution to grow your business.
Several AI platforms are designed with user-friendliness in mind, even for those without extensive data science expertise. Platforms like DataRobot and H2O.ai offer functionalities like Automated Machine Learning (AutoML) that simplify the model-building process. Additionally, our team of AI/ML specialists can assist you with setup, model building, and fine-tuning, regardless of the platform you choose.
Are you aiming to improve customer service interactions, optimize internal operations, or generate new product ideas? You can narrow down the options once you have a clear vision for your AI project. We offer free consultations to help you assess your needs and identify the ideal AI platform to propel your business forward.
Pre-built AI platforms offer a significant cost advantage over building custom solutions from the ground up. These platforms eliminate the need to invest in infrastructure and development tools, and they often come with pre-trained models that can be adapted to your specific requirements.
Our AI development services go beyond simply recommending an AI platform. We provide comprehensive support throughout the entire AI development lifecycle, from initial planning and model building to deployment and ongoing optimization.
Get In Touch
Contact us for your software development requirements
You might also like
Partnerships:
Recognized by:
.webp&w=384&q=75)
👋 WE ARE HIRING!!!
