As artificial intelligence (AI) continues to reshape industries, understanding the benefits of AI technology, and the distinctions between technologies, becomes increasingly crucial for making informed business decisions and navigating the rapidly evolving digital landscape. From the foundations of machine learning and deep learning to the complexities of natural language processing, the AI technology landscape encompasses a spectrum of cutting-edge tools that are re-defining how organizations engage with intelligent systems.
Demystifying the AI technology landscape and having a familiarity with these technologies enables organizations to identify the most suitable solution for their specific needs and ensures effective implementation and integration into existing workflows.
AI technologies can be best understood as a kind of nesting of layered technologies that all fall under the overarching category of IPA.
Intelligent process automation
IPA is a grouping of technologies used to manage and automate digital processes and is designed to assist human workers by augmenting human labor and performing tasks that are typically repetitive processes. IPA includes the following technologies:
- Robotic process automation (RPA): Seeks to automate tasks within existing processes
- Digital process automation (DPA): Uses low-code tools to automate processes that can span multiple applications with a focus on automating or partially automating tasks involved in a variety of business practices that typically require some form of human interaction
- Business process automation (BPA): Seeks to automate and streamline multi-step processes
- AI: Systems with the ability to learn, perform and reason like a human
Moving into the AI realm, IPA begins to make decisions based on the provided data and identified trends to augment human decisions or even make decisions independently. IPA utilizes AI to drive innovation, optimize and streamline workforce efficiency.
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