Top Artificial Intelligence Software Platforms in 2022
There are a few important names in the AI software market. These include TensorFlow, Alibaba, IBM Watson Studio, and Dataiku. These companies are making substantial strides in AI technology and are an excellent bet to be at the forefront of this trend. While the artificial intelligence market is fragmented, these companies are well-positioned to benefit from the AI boom. The other names on the list are less surprising.
TensorFlow
TensorFlow is an open-source machine learning platform with high-level APIs. It supports C++, R, and Python. In addition, it offers a community and extensive support for researchers and developers alike. Developers can use TensorFlow to build applications for image recognition, voice recognition, and video detection. In addition, developers can leverage their Python-based APIs and their debugging features.
Anaconda is a machine learning framework using a standardized neural network protocol. Its graphical interface simplifies training models and includes state-of-the-art algorithms for data preparation, feature selection, and testing analysis. In addition, the platform comes with an environment manager and unlimited commercial packages. This AI software is designed to make it easy to build, train, and deploy neural networks.
IBM Watson Studio
Data scientists, analysts, and developers can build AI models with the IBM Watson Studio. This cloud-based platform includes tools for visual and code-based data science. It also automates the AI lifecycle and offers a choice of IBM and third-party frameworks. As a result, IBM’s Watson Studio is an excellent choice for developers who need an advanced AI solution. In addition, data scientists and analysts can use it at any stage of the AI lifecycle.
IBM is committed to providing its customers with tools for deep learning and other applications. IBM Watson Studio and IBM Cloud Pak for Data feature deep learning capabilities to help businesses manage large data sets. In addition, the cloud infrastructure allows developers to scale applications dynamically across clouds. Amazon Machine Learning also provides a powerful platform for machine learning applications and has a strong reputation in the industry. It offers fully managed image recognition, NLP, and continuously training neural networks.
Dataiku
Dataiku is an artificial intelligence software platform that provides companies with the tools to analyze and transform raw data. It recently released an online version of its enterprise artificial intelligence platform and aimed to support small businesses with its scalability and flexibility. The platform’s multi-node deployment capabilities can be used with Microsoft Azure, which helps smaller companies scale up and use AI more effectively.
Its powerful ML tools are backed by solid data preparation features, including AutoML, which can fill in missing values and convert non-numerical data to numerical values. This platform integrates leading algorithms, ML frameworks, and deep learning tools. It supports custom modeling in Scala and Phyton, and its development process is a little quirky. However, its data science capabilities make it one of the top artificial intelligence software platforms in 2022.
Alibaba
AI software is becoming an essential part of every business model, including the ones operated by Alibaba Group. This giant has launched dozens of projects that leverage AI to enhance its competitive advantage. For example, Alibaba has more first-party sales data than any other retailer and has adapted this data to build AI algorithms. In addition to AI software, the company offers cloud services, including Alibaba AI Cloud. The platform provides a full spectrum of AI-as-a-service solutions for product development and basic research.
For example, Alibaba’s AI cloud will enable customers to access centralized data using AI, such as training requirements, validation data, and function libraries. This cloud will also make it easier to deploy AI models. With Alibaba Cloud, users can use prebuilt models in their applications. Additionally, the Alibaba Cloud will integrate with Alipay, an online payment service owned by the Ant Financial Services Group. The platform accepts payments through Alipay digital wallets, as well as traditional methods of money transfer.
Infosys Nia
Artificial intelligence (AI) software helps organizations automate complex processes and streamline data management. It collects data from humans, legacy systems, and other sources to solve complex business problems. As a result, it reduces the time and effort required to complete repetitive tasks and allows users to focus on solving creative problems instead of dealing with data overload. For this reason, Infosys Nia is one of the leading AI software platforms in 2022.
AI software platforms are the foundation of the future of business, so companies should be investing in these solutions now. Infosys Nia is an AI platform that helps organizations automate repetitive tasks and scheduled responsibilities. It allows organizations to leverage big data to improve their operations and employees’ efficiency and productivity. However, the company does not offer a free trial, so potential users should know the risks and benefits before spending money on the software.
Amazon Alexa
The use of voice-activated virtual assistants like Amazon Alexa is growing in popularity and will soon surpass the use of traditional computer programs. These programs can be configured to perform various tasks, such as recognizing faces or answering questions. They also integrate natural language processing and image recognition. The popularity of voice-activated virtual assistants has made Amazon one of the most profitable companies in the world.
The company is also looking to integrate Alexa into the workplace to provide voice-activated tasks. However, many companies are moving toward an open-concept workspace, which doesn’t support an Alexa on every desk. In these workplaces, wake-words with Alexa could trigger many devices simultaneously, which could be disruptive and impolite. Therefore, companies should consider the potential benefits before implementing such technology in such an environment.