The technology that powers the Machine Learning and AI platform of IBM is at the forefront of technological innovation. The platform has demonstrated the ability to meet a range of industry expectations. IBM has built an environment that is purpose-driven, delivering the most advanced research on business intelligence tools.
IBM has committed more than $200 million to create the most forward-looking system available today. IBM has used its investment to launch initiatives focused on improving enterprise-level decision making. Here are a few of these initiatives.
Organizations must implement Intelligent Systems at every level of their business. The AI platform can help with a solution for smart messaging, providing real-time data to end-users. In addition, the platform can extend solutions across applications and provide an effective approach to decision support.
IBM also wants to enhance the way people work. In order to do so, the IBM platform is currently offering a tool that's based on predictive analytics. Revenue and customer management can be enhanced by the Watson Analytics Platform. This can save time and increase efficiency.
The Data Analytics Platform is an intelligent framework that permits users to have a comprehensive view of the data. It may provide operating applications and information quality metrics, across a selection of data sources. There are no limitations on information storage dimensions.
With Machine Learning, organizations can learn how people interact with each other. The foundation of the technology is natural language processing, where the platform learns what words and phrases are used when specific events occur. The platform then suggests words and phrases that have been learned to provide the most useful data.
Organizations have a large number of highly trained professionals. As such, it is important that they are harnessed effectively. The platform can be used to harness and promote enterprise-level skills at any stage of development.
By understanding how businesses use content, users can provide the best content, and leverage the resources that are available. The platform can identify the proper content for different audiences and then optimize them. This can enable businesses to deliver high-quality content to customers more quickly and effectively.
The intelligent platform has helped companies realize the opportunity of getting started with new enterprise automation while retaining control. The platform will deploy new automation components that are designed to add functionality to existing tools. The platform can allow businesses to focus on productivity and organization while the automation component is deployed.
Speech Recognition and Text-to-Speech are two advanced capabilities of the platform. With the Speech Recognition Service, businesses can recognize spoken words, and they can adapt them to text to produce better, more precise results. With Text-to-Speech, the platform can provide customizable voice recordings that provide speech to text conversion, and the ability to interpret the text for a variety of audiences.
The Common Use Development Platform can reduce the time and cost associated with custom development. It provides custom development tools for enterprise technology. It also helps with developing secure applications and provides a visual development experience that can enable IT, managers, to engage in an advanced design process.
Building the best Business Artificial Intelligence platform requires the same expertise that drives IBM's products. It requires commitment and a long-term vision for solutions that are better. Firms must take advantage of the opportunities available by focusing on bringing a focus on AI platforms and Machine Learning that can help them deliver the best technology and customer experiences to their customers.