April 11, 2021

10 Most Promising AI Platforms in 2021

Artificial intelligence went from being just a tool for integrating information or analyzing data to a strong gizmo that helps us improve decision-making. Improved decision-making helps better business management, better diagnosis, better resource management, etcetera. AI improves almost every walk of life. Be it e-commerce, logistics, cybersecurity, every field of life is reaping the benefits from AI and is improving by including it in its daily use. 

The top 10 most promising AI platforms which very popular among the users are as follows: 

Google AI Platform 

Google’s AI platform lets you build and run your machine learning applications with ease and comfort with the help of its integrated toolchain. It also supports kubeflow, Google’s open-source platform, which lets you build portable ML pipelines is proving very helpful among its users. Along with this, users also have access to cutting-edge Google AI technology. The platform provides cloud-based machine learning, customer sentiment analysis, spam detection, recommendation settings as well as purchase prediction. The state-of-art security system of the platform is the cherry on top that everyone needs.

Google AI Platform 

Google AI Platform

TensorFlow

TensorFlow is an open-source software library that helps in performing numerical computations using dataflow graphs. It has a very flexible architecture that helps its user in assigning the computation to one or more CPUs or GPUs in a desktop, mobile device, or server with a single API. The system is said to have deep flexibility, true portability, auto differentiation option, multiple language options, and is said to maximize performance. The platform connects research and production creating comfort for the user. By using Tensorflow, you can share the benefits of machine learning with artificial intelligence.

Amazon AI service 

This platform offers pre-trained artificially intelligent services for the fields of computer vision, recommendation, language, and forecasting. It helps easily build, train, and deploy ML models with the support of all the open-source frameworks. It provides the most comprehensive cloud platform, optimized for machine learning with high-performance computing, and does not compromise on security and analytics. They claim to provide the fastest computation at possibly the lowest cost. Overall, it helps you add intelligence to your applications and is focused on solving the toughest challenges in ML that stop it from being in the hands of every developer.

Amazon AI service 

Amazon AI service

Salesforce Einstein

Salesforce is the first detailed AI platform for customer relationship management (CRM) and sales data processing. It provides a set of best-in-class platform services that bring advanced AI capabilities into the core of the customer’s success platform, making Salesforce the most intelligent AI platform for customer relationship management. It also helps users predict the marketing journey and helps in the decision-making process. Salesforce Einstein has been developed for sales, services, and marketing. The platform can reduce the time in which support can be delivered.

Microsoft Azure AI Platform

This platform simplifies machine learning for business by its advanced, cloud-based analytical design. With the help of in-class algorithms from Bing, Xbox, R, or Python packages, the business manager can produce near-perfect models. The platform provides deploying the finished model as a web service in minutes and can connect to any data, anywhere. The platform provides digital marketing, e-commerce, business intelligence, cloud migration, hybrid integration, monitoring, big data, analytics, and much more. It is mobile-enabled, cloud-based, and supports any kind of operating system, language, tool, or framework.

Microsoft

Microsoft

IBM Watson Studio

IBM’s Watson Studio accelerates machine learning and deep learning workflows that are required for suffusing artificial intelligence into your business to drive innovation. It gives you the independence to choose between the tools regardless of whether they are code-dependent or independent. The platform sees your data, refines it, integrates data through deep learning, provides continuous learning, and enables you to work with the tools you know. It provides you with a group of tools for application developers, data scientists, and subject matter experts to work with data easily and collaboratively.

Rainbird 

Rainbird is an award-winning AI platform that makes business operations smarter. It helps build a system that can take human-like decisions by analyzing data that results in greater turnover and better quality and efficiency. It helps combine data from different sources to automate knowledge-based work that results in a system the organization can develop easily. Rainbird also provides a virtual user interface, smart data import, natural language processing, controlled learning algorithms, and analytics, and insight. The platform can turn insights into actions, offer efficiency, and promote innovation.

Infosys Nia 

It is a knowledge-based AI platform that drastically lowers the cost of maintenance for both physical and digital assets with the help of its Infosys Aikido offerings. Infosys Nia brings ML together with deep knowledge to drive innovation and automation. It helps businesses to bring a new, pleasant user experience by simplifying complex systems and continuous renovation of the system. The platform provides asset efficiency, order-to-activation process transformation, Infosys knowledge, and an automation platform. It also provides amplification and reinvention.

Dialogflow 

This platform helps the user build a unique natural language interaction for applications, bots, servers, and devices. It helps design a unique conversation scenario and corresponding actions with the help of its natural language understanding tools. It includes data collected over time like weather, booking, encyclopedic data, and much more to make the conversation more realistic. The platform includes integration, conversation support, cross-platform support, multilingual support, and high performance. It builds voice and text-based conversational apps, on any platform, in any location.

SparkNLP

SparkNLP is a rather new platform, but it has made its place in the market. It is now one of the most popular artificially intelligent platforms among users. Like most of the older platforms, this also emphasizes natural language processing (NLP). It also has a lot of tools and libraries to offer to its users that are related to the field of data sciences. The AI platform is built upon other platforms such as Apache or TensorFlow. So, due to that, in the long run, it becomes impressive to work with.

Conclusion

All of the above-mentioned platforms perform best in their specific departments. Each of them has a very specific feature set and qualities that prove beneficial for its users under different circumstances. These AI platforms can prove to be very helpful if a user is looking to get things done in trend reading, business management, customer relationship management, innovation in the organization, quality, and efficiency. All of this because all of them are best at what they are meant to do.

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