AI applications using laptop
Home » Tech Articles » 7 Best AI Platforms for Developers in 2024

7 Best AI Platforms for Developers in 2024

AI platforms have brought a revolution in the software development market. 

Nowadays, many organizations and developers are utilizing different AI frameworks to streamline their work. 

The reason is AI platforms are a powerful set of services that help process huge chunks of data and perform various operations. 

Not only can they help you function more efficiently, but also make better decisions to promote growth.

At present, continuous improvement in AI technology has made them highly capable of solving complex problems that weren’t previously possible using traditional frameworks. 

Let’s discuss a few things about AI, AI platforms, and the benefits of using them, and then look at the top 7 AI platforms to develop modern applications. 

What Is Artificial Intelligence?

Artificial Intelligence (AI) is a technology where human intelligence is fed into machines and programmed to think and work like humans. It aims at making a computer or device think intelligently as humans do. 

artificial intelligence taking tarining from systems

AI allows machines to rationalize data and take action accordingly so that the user has the highest chance of achieving the desired goal. From language processing, speech recognition, and developing intelligent platforms to self-driving cars and smart assistants (like Siri), AI is making its way into different domains to increase convenience. 

Benefits of AI for Software Development 

Businesses are gradually integrating AI into their ecosystem to achieve their desired goal. There are numerous benefits of using AI for software development, such as:

  • An increase in forecasting accuracy is one of the significant benefits that has helped many businesses to grow by reducing human error and achieving better results.
  • AI helps organizations improve the speed of businesses in this digital age by cutting down the time taken to shift from design to implementation. 
  • Improved monitoring lets you analyze a lot of data in real-time and pick errors.
  • Automation of repetitive tasks is a big help for businesses to save time while reducing overall expenditure.
  • AI helps strengthen brand loyalty and personalize the customer experience. By implementing AI, brands can offer personalized buying experiences to all their customers.
  • In the modern data-driven business ecosystem, AI plays an integral role in curbing or mitigating cybersecurity threats.
  • AI helps provide 24/7 customer support through chatbots and enhances customer experience.
  • Generative AI platforms offer GPT agents for your business to answer questions easily without human intervention.

 Now, let’s dive into the top enterprise AI platform solutions to build applications.

Top AI Platforms to Build Modern Applications

TensorFlow

TensorFlow is an end-to-end machine learning platform that allows you to create production-grade applications with ease. From browsing pre-trained models and researching top ML models to building your own ML application, you will have a smooth workflow while working on this platform.

create ML models using TensorFlow

TensorFlow is a popular choice for many developers because it allows you to train and build ML models on CPU and GPU computation. In addition, it is an open-source platform and comes with the support of Keras, which is a high-level API.

TensorFlow can help you achieve high scalability while working on a vast data set and also develop models by involving multi-dimensional array mathematical expressions. The platform offers some essential features like an extensive list of ML APIs, deep neural support, and pre-trained models for mobiles. 

DataRobot

DataRobot is a new-age AI software that helps you tackle challenges and explore modern opportunities by leveraging the power of AI. 

Whether you are a data scientist, software engineer, analytics leader, or business analyst, DataRobot will serve as an excellent platform for all your AI solutions in multiple domains like banking, retail, manufacturing, healthcare, etc.

Create generative AI models using DataRobot

DataRobot offers some vital features, which include model monitoring, model interpretation, data preparation, decision intelligence, and many more. It also features automated machine learning to quickly generate models based on your data and objectives.

Furthermore, You can deploy your AI model anywhere you want, both on-premises and cloud. Once you generate and validate an AI model based on your data, you will find a wide range of deployment options, from APIs to real-time scoring.

Google AI Services 

Google AI services are one of the best platforms for software developers because they offer you a powerful and flexible medium for developing intelligent applications. To help you get the maximum benefit and leverage multiple technologies, this AI service can be integrated with Cloud Store, Cloud Function, and BigQuery.

Craft AI and ML solutions using Google

With the use of value-based AI, pre-built models, and customization, Google AI Services is widely preferred by many organizations. It lets you create custom models to fit your use case and can also handle large volumes of data and traffic without any infrastructure limitations.

The number of pre-built models you can utilize during application development is pretty huge; these models come pre-trained on various aspects of data. The factor that makes this AI service stand out is its competitive pricing. Google has introduced free usage and pay-as-you-go pricing so that you won’t have to think about your budget.

Amazon AI Services

Amazon AI Services is a deep learning platform that helps you get a deeper insight into your dataset without spending a fortune. This platform gives you pre-built intelligence solutions so that you can efficiently utilize them to build a practical application.

Amazon utilizes deep learning technology in all their APIs,  making them continuously evolve and helping you ensure better quality and accuracy than most. While utilizing this platform, you can not only solve common business problems and add AI to your application but also train ML models for any use cases.

Unlike others, you won’t have to rely on writing codes as you will have tools to generate ML predictions automatically for any aspect of your business. Besides, this platform has some other highlighting features like automated data extraction and analysis, business metrics, computer vision, improving customer experience, and many more.

H20 

If you are planning to scale your business, enhance revenue, mitigate traditional risk, and increase brand loyalty, H20 can be one of the best AI platforms for you.

It is one of the fastest and highly accurate AI platforms that provides you with numerous effective solutions for different sectors like financial services, telecommunication, manufacturing, insurance, etc.

democratizing generative AI by H2O

Using H2O offers several benefits, including high scalability, cloud-based deployment, support for different algorithms, automated machine learning, and the capability to integrate with different programming languages. Despite having so many features, you won’t feel the complexity since H2O has a user-friendly interface.

It is an open-source platform that gives you a massive set of tools and libraries that you can integrate into your application to build predictive models. Many top global organizations are highly dependent on this AI platform, like AT&T, Commonwealth Bank, PWC, Epsilon, AES, etc.

Polyaxon

Whether you are working as a researcher or business analyst, the Polyaxon AI platform can be highly beneficial for you to develop scalable ML solutions. 

create ML operations and infrastructure using Polyaxon

This is an open-source AI platform that is designed for all and gives you solutions like experimentation, automation, model registry, artifacts versioning, and complete management for your organization, team, agents, and projects.

Reproducibility and flexibility are major highlighting features of this platform as it allows you to create reproducible experiments and utilize popular machine learning frameworks. Polyaxon serves as a complete solution for managing the machine learning lifecycle that ranges from experimentation to production.

NeuralDesigner 

NeuralDesigner is the AI platform you should be looking for if you are planning to build a robust application without involving any kind of building block diagrams or coding.

You can utilize this AI platform for any sector, like banking, retail, engineering, healthcare, etc., to train and implement neural network models. Like all top AI platforms, it is also suitable for businesses of all sizes, so even if you are working as a freelancer, it can significantly benefit you.

NeuralDesigner is well-known for its top-of-the-line algorithms that can help you create complex operations and predictive models. In addition, it has an intriguing graphical user interface that gives you the ability to perform tasks interactively. This AI platform also lets you use numerous performance metrics so that you can evaluate the performance of different neural models.

Conclusion

AI-based applications are making their way to various industries and across the world. Implementing AI in software development offers many benefits, from automation to saving time, convenience, and speed to customer satisfaction and reduced overall cost. 

Thus, if you want to build modern applications, the top 7 AI development tools listed above can help you do it and grow your business. 

FAQ

What are AI platforms?

AI platforms are the home of integrated technologies that enable you to brainstorm, develop, test, and execute ML and Deep-learning models in a more scalable way.

What is Google AI called?

Google AI is known as “Gemini”. It is the most capable AI model across the globe.

How do I start an AI platform?

The very first thing you want is a niche.
– Identify your goals
– Collect data
– Prepare data
– Select the tools
– Craft an algorithm and select a model
– Train the model
– Evaluate the model
– Execute the model

Ronit Sarker has been working as a ghostwriter for technical content for the last 7 years. He is a versatile content writer with a passion for crafting compelling narratives across diverse industries. With a keen eye for detail and flexibility to adapt required tone and style to suit different audiences, he creates high-quality content that engages and informs.
Follow Ronit Sarkar for his wonderful insights on technology.

Similar Posts