Top 10 Artificial Intelligence (AI) Cloud Platforms in 2023

The way artificial intelligence is changing human lives and tasks need not be explained. Many jobs have been automated and various jobs have been simplified by AI. This has only been possible due to the advancements in technology and the software development field. As more companies are adopting AI technologies to encourage automation in their organization, they need skilled AI professionals to build efficient AI-based models. If you are planning to build a career in AI, you can start by enrolling in an artificial intelligence course.

To work efficiently as an AI engineer, it is important to be aware of the latest AI technologies and tools. Here is the list of the top 10 AI cloud platforms in 2023:

1. IBM Watson

Watson by IBM is a highly acclaimed artificial intelligence programme. This package includes various tools and applications that allow you to create, execute, and administer AI models while recording the data to make useful predictions. This platform allows organizations to automate the analysis of complex ML processes, saving the precious time of their employees. With IBM Watson, you get a broad AI portfolio containing pre-trained models or an option to create customized ML models to study data, identify patterns, and make predictions.

2. Content DNA Platform

Material DNA is an AI software platform that is designed for analyzing video content. Various telecom and broadcast firms use this software to perform various video-related tasks, such as anomaly detection, scene recognition, metadata enhancement, etc. Moreover, this platform is easy to understand and use even for less-trained professionals. However, it is free to use only for a limited time (up to 100 hours of usage). You can get unlimited access by paying a one-time fee that is charged for cloud infrastructure and maintenance. 

3. Nia Infosys

The Artificial Intelligence software platform, Nia Infosys, was designed with the aim to allow easy implementation of AI to companies. This platform is helpful in not just one, but multiple fields, including machine learning, natural language processing, deep learning, data management, etc. With the help of Infosys Nia, businesses can use AI on their already existing data. This can be done by automating routine actions and commitments. This is how this AI platform allows businesses to be more productive and their employees to work more efficiently.

4. Google Cloud Learning Machine

The Google Cloud Learning Machine is the best software to advance your ML models. With the help of this platform’s integrated toolchain, you can create and develop your own machine-learning apps. It allows you to save time as well as cost while working on ML models. As it is a Google-based program, you get access to all the AI technologies by Google once you deploy it. Some other popular AI platforms by Google include TPUs, Tensorflow, and TFX tools. 

5. Cortana

Cortana, the virtual assistant of Microsoft, is highly popular among experienced users as well as developers. One of the biggest reasons for its popularity is that it is accessible on various Microsoft, Android, Amazon, and Xbox products. From question answering to reminders and hands-free assistance options, Cortana is an AI-driven chatbot that can perform a wide range of tasks. Cortana learns from users as they use it more and eventually gains the ability to solve more challenging and complex tasks.

6. Azure Machine Learning Studio

Azure ML Studio is another user-friendly artificial intelligence programme. It has an interactive interface that allows you to create ML models simply by the drag-and-drop method. After developing the models, you can also publish them to the web right within the application. This AI software platform provides a variety of experiences to assist professionals in creating, training, and implementing ML models faster than other AI platforms. It is suitable for users and professionals of every experience level.

7. Observe.AI

Observe.AI is also a popular artificial intelligence software for call analysis. This platform allows businesses to employ speech recognition while also transcribing calls at the same time. This user-friendly automation tool supports two languages, English and Spanish. With the help of this software, organizations can analyze calls effectively using the latest natural language processing and speech recognition technologies. The best thing about this tool is that it is compatible with several other business intelligence platforms.

8. Chorus.ai

Chorus. Ai is a conversation intelligence platform that was specially designed for high-growth sales teams of organizations. It helps in performing various tasks, including the management of calls, real-time call recording, and transcription. Moreover, the platform also allows businesses to highlight crucial issues and action points. With the help of this automation tool, companies can enhance their communication processes and perform error-free follow-ups. Some of its most important features include sales coaching, call recording, sales management, and other services.

9. Salesforce Einstein

Salesforce Einstein is an artificial intelligence platform for CRM (customer relationship management) analytics, which allows organizations to create AI-based applications for their staff or clients. With this AI software, you can create natural language processing, machine learning, and computer vision-based predictive models. Data preparation and model administration are not very essential when using such AI techniques. It is a paid platform having different packages at different costs. Businesses can choose anyone as per their requirements.

10. NVIDIA Deep Learning AI Software

NVIDIA has become very popular because of the great performances shown by their computer hardware and software. NVIDIA Deep Learning AI software is one of the best platforms for machine learning-based AI solutions. The software is available on most cloud platforms like Google, Amazon, etc, and hence allows you to access your projects anytime from anywhere in the world. This tool allows you to continuously improve your business processes.

How To Learn Artificial Intelligence?

You can learn Artificial Intelligence through the online or offline courses offered by various institutions. However, it is important to choose the right course that fulfills your requirements and allows you to learn at your convenience. Some important factors to consider when choosing an AI certification program include the course curriculum, fees & duration, learning styles, practical content, etc. 

The artificial intelligence courses provided by Edvancer are among the top options you should consider to start your journey of building a career in AI. Edvancer offers three courses in artificial intelligence, each of them covering all the necessary subjects and topics. With their courses, you get to develop your practical skills through real industry projects and assignments. Moreover, you can choose to learn at your convenience by selecting one of the two learning options.