List of AI development platforms and application examples

Amazon Web ServicesAWS
Amazon is one of the companies that is actively implementing AI and has attracted the interest of industry attention. Amazon Web Services, or AWS, is regarded as one of the most representative AI systems.
Amazon Web Services (AWS) is a cloud computing service AWS provides a wide range of services that many businesses use. Amazon Recognition, an image/video analysis service, is a prime example.

Google Cloud Platform
GCP is another representative AI platform developed by Google. One of the most important facets of Google Cloud Platform is that you can use Google’s technologies and infrastructure.
You may utilize the same environment as Google Maps and YouTube, as well as Google Search, which is considered the hub of contemporary search engines.
It is frequently used in AI development to improve image recognition, image search, and translation productivity. Google’s cloud AI offerings encompass a variety of services.

Salesforce Einstein
Salesforce Einstein is a machine learning system created by Salesforce.com, Inc. In 2018, a new function Einstein sales prediction employing Salesforce Einstein was revealed and put into practice in a sales assistance tool called Sales Cloud Einstein.
As typical machine learning functions in Salesforce Einstein, the following are offered.

Einstein Discovery
It is a function that improves productivity by discovering patterns that lead to sales activity from Salesforce’s internal and external data. AI will detect the issue and provide a simple solution so you can take action within Salesforce.

Einstein Prediction Builder
It is a function that predicts sales outcomes such as the number of clients who will leave and the lifetime value of those customers. Even though no coding is required and AI models can be developed with a single click, even employees without specialized skills will be able to gain from it.

Einstein Next Best Action
It’s a feature that allows the app to display suggestion recommendations. Users will be able to use recommendations more efficiently if they define the recommendations to be displayed, set policies, establish a prediction model, and show the recommendations.
Many companies have already implemented Salesforce Einstein and seen positive outcomes. For example, by utilizing Salesforce Einstein in sales for firms at U.S. Bank in the United States, the contract rate in sales has increased 2.35 times over the previous year.

 Microsoft Aure

Microsoft Azure, which is provided by Microsoft, is one of the platforms that many companies use. Azure offers a variety of AI development tasks as well as services that make it simple to utilize. The fact that you can use Azure AI to take use of tried-and-true AI technologies is a major plus.
Azure Machine Learning, for example, is a Python-based machine learning platform with automated machine learning and edge deployment capabilities, and is one of Microsoft Azure’s services. Machine learning can be done by drag and drop without coding using the visual interface, so even firms without a dedicated engineer may readily use it.

SAS
Many organizations have integrated SAS Viya, a platform developed by SAS in the United States.
It has the advantage of being able to be used in both private and public clouds, as well as SAS clouds and on-premises. Another advantage of in-memory parallel distribution is that it allows for free scaling up and down based on the amount of data and the number of users.
 
DataRobot
DataRobot is an AI platform that includes world-class data scientists’ expertise and knowledge. We specialize at developing and deploying machine learning predictive models. It may be claimed that the ability to automatically provide the best suitable model for the company from a pool of over 3,000 models is a huge draw.
DataRobot’s versatility may be shown in the fact that it has been used by organizations in a variety of industries, including healthcare, distribution, manufacturing, and finance.

Vertex AI
Vertex AI is a platform that combines Google Research’s cutting-edge machine learning tools. You can move the complete machine learning process more efficiently with the integrated UI and API. One technique to utilize the right person in the right place in machine learning is to use the right person in the right location. However, if you use them efficiently, you’ll need time and skills to make collaboration easier.

MatrixFlow
is a framework that makes it easy to develop machine learning / deep learning models using basic procedures. The most intriguing feature of this platform is that it allows you to drag and drop models for machine learning and deep learning.
Even those with no programming experience can simply develop models due to the ability to employ pre-prepared machine learning and deep learning methods. Furthermore, after the model is produced, the operation may be checked on MatrixFlow, reducing the time and effort required to check the operation. It may be claimed that it is a recommended tool when developing human resources is challenging yet you need to establish an AI model.
 
Pythagoras AI Cloud,
Even individuals without specialized knowledge can design a model since the best algorithm is automatically selected from time series prediction, multiple classification, binary prediction, image recognition, voice recognition, and other categories. Furthermore, because there is no need to choose the best algorithm on one’s own, it will be a huge benefit for businesses looking to improve their efficiency.

ET Brain
Alibaba Group’s ET Brain is an artificial intelligence platform. The Alibaba Group also offers ET City Brain, a smart city platform that is gaining a lot of traction. ET City Brain gathers and organises data from city traffic lights, public transportation, weather data, and citizens’ smartphones, among other sources. Then, in order to enhance traffic circumstances, a method is created in which Alibaba’s original algorithm does the processing.
ET Brain has been introduced in Chongqing, China, Suzhou, Jiangsu Province, Macau, and Kuala Lumpur, Malaysia, among other places, and it is believed that the number of places where it has been introduced will continue to grow in the future.
List of AI development platforms and application examples for various fields.

Neural Network Console
Sony Corporation’s Neural Network Console is a deep learning programme creation platform designed to suit the needs of human resources development in the AI area who desire to use deep learning.
In addition to making it easier to develop AI models, being able to set up a learning environment for deep learning is a huge plus.

VALIS-Cockpit (Marketing)
VALIS- Cockpit is the persona and why is it important to analyze the Web behavior history of Cockpit users? A marketing-specific platform that lets you see if you’ve made a purchase.
It will be a huge benefit for organizations that want to increase marketing efficiency since it will be possible to quantitatively analyze the attitude shift that occurs in the user’s behaviors on the Web.

AMATERAS RAY (Marketing)

Furthermore, one of the benefits is that we are actively selling e-learning products and AI training to ensure that field employees can perform predictive analytics as much as feasible using AI.
 
Findability Platform
It can be claimed that it is a platform that offers significant benefits to businesses looking to implement AI effectively and make extremely accurate predictions.

SENSY MD
 is a specialized AI development platform for the garment sector. We improve product demand projections by allowing AI to learn about each customer’s preferences and purchasing timing as sensitivities.
SENSY MD, for example, was created by TSI Holdings, a major garment firm, to estimate demand at the individual customer level and for each SKU. Not only can the production volume be determined, but also the amount of the set price sale as well as the suitable discount rate and timing.

MANUFACIA
is an artificial intelligence (AI) development platform for the manufacturing business. As there are so many confirmed deep learning algorithms available, even organizations with no AI development experience can simply get started.
In general, AI is necessary for the production of each line and product. As a result, AI development costs are typically considerable. In this regard, MANUFACIA can develop AI that is customized to the line, enhancing the prospect of time savings.

ABEJA INSIGHT FOR RETAIL

 is a retail distribution business store analysis service.

It is possible to acquire and analyze data from IoT devices such as network cameras and infrared sensors, as well as view data that is essential for the retail industry, such as the number of visitors and age and gender estimation because it is a platform specialized for the retail industry. It’s a significant feature.

talkappi (Customer support)

is an artificial intelligence platform that specializes in customer service. It is used to solve difficulties in numerous businesses where customer response transpires, such as reducing telephone waiting time and increasing the efficiency of inquiry response

AimeLytics (Prediction)

AimeLytics is an AI platform for predictive analytics that combines the predictive analytics technologies that Aimesoft has been researching and developing for years. Predictive analytics is a technique for producing predictions based on internal data such as historical performance, environmental data, event data, social media data, and other external data.

As a result, it is active in forecasting domains such as stock price forecasting, traffic volume forecasting, customer behavioral forecasting, sales forecasting, and demand forecasting in a variety of businesses.