Top Artificial Intelligence Platforms

Artificial Intelligence Platforms involve the use of machines to perform tasks commonly performed by humans. These platforms simulate cognitive functions that the human minds perform.

What are Artificial Intelligence Platforms?

Artificial intelligence (AI) platforms provide users a tool kit to build intelligent applications. These platforms combine intelligent, decision-making algorithms with data, which enables developers to create a business solution. Some platforms offer pre-built algorithms and simplistic workflows. With such features as drag-and-drop modeling and visual interfaces. That easily connect necessary data to the end solution, while others require a greater knowledge of development and coding. These algorithms can include functionality for image recognition. Likewise for natural language processing, voice recognition, recommendation systems, and predicitve analytics. In addition to other machine learning capabilities. You will be reading about the top Artificial Intelligence platforms being used today in this post.

Amazon SageMaker

Amazon SageMaker is a fully-managed service. That enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. It removes all the barriers that typically slow down developers who want to use machine learning.

Pega Platform

Pega is the only industry-leading platform that allows you to build scalable, enterprise-grade CRM. Also Digital Process Automation, BPM, Case Management, and AI apps,. All on one unified platform. Anyone can catapult enterprise digital transformation and innovation with Pega. Hence, by designing, building, and collaborating on any application, without any roadblocks.

The Pega Platform transforms business stakeholders into citizen developers with a no code and visual app development experience. While empowering professional developers to architect applications with a model-driven approach in a low cow code environment. Pega maximizes productivity, re-use, and scale for the enterprise while delivering meaningful apps 6.4x faster, reducing development costs by 75% and driving ROI by 321%.

IBM Watson Studio

Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises simplify the process of experimentation to deployment, speed data exploration and model development and training, and scale data science operations across the lifecycle.

IBM Watson Studio empowers organizations to tap into data assets and inject predictions into business processes and modern applications and then optimize business value with visual data science and decision optimization. It’s suited for hybrid multicloud environments that demand mission-critical performance, security and governance — in public clouds, in private clouds, on-premises and on the desktop, including IBM Cloud Private for Data.

BP Logix BPMS

Built by BP Logix, Process Director is a BPM software solution that allows you to create applications quickly— ones that scale well and are easy to restructure. Free Up Your IT Department Because Process Director can be handled well by business users, it allows IT to get back to its monstrous to-do list. It also gives the people closest to the issues the tools to fix those problems optimally. With the BPM software solution you can track changes, maintain accountability and collect data for meaningful reporting and analysis.

Top Artificial Intelligence Platforms

In Conclusion

AI platforms are frequently used by developers to create both the learning algorithm and intelligent application. However, users without intensive development skills will benefit from the platforms’ pre-built algorithms and other features that curb the learning curve. AI platforms are very similar to Platforms as a Service (PaaS). Which allow for basic application development, but these products differ by offering machine learning options. As intelligent applications become the norm, it may become common place for all PaaS products to begin to provide the same machine learning options as AI Platforms.

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