Recently, at Transform 2021, our Aragon Research analysts gave a presentation titled ‘New Reality for 2022: The Enterprise Becomes Intelligent’. They dove into trends and technologies that are spearheading the shift to intelligent enterprises. To kick off the presentation, our presenters revealed a pretty interesting prediction:
By 2026, the use of AI will be so pervasive that 80% of solutions will not even use the terms “AI” and “Intelligent” (0.70 probability).
Needless to say, it’s crucial to understand different areas of AI and how they will affect your enterprise, as well as how they can aid your shift to intelligence and smooth your employee and customer processes. This blog will cover 4 areas of AI that will empower your intelligent enterprise in 2022 and beyond.
Conversational AI
There is a great need for intelligence-powered conversational solutions across many industries. Because of this, the conversational AI market is seeing explosive growth.
Conversational AI is a set of speech-enabled technologies that process speech and text to record, transcribe, and analyze content. It carries the ability to generate speech and text in a way that humans can easily understand. An example of conversational AI that we see daily is a chatbot, which assists users with many different tasks such as navigating a website, purchasing items, and diagnosing user issues.
Conversational AI capabilities will only increase as AI technology continues to advance. For example, natural language processing and understanding has improved to the point where interacting with conversational AI feels very similar to interacting with a human – even with quirks and disorders that are typical in human language.
So, why utilize conversational AI? Enterprises can use conversational AI to improve both customer and employee engagement. For employees, conversational AI capabilities offer coaching, learning, agent assist, as well as recording and archiving important knowledge to pull key insights. For customers, conversational AI provides more responsive support systems to address customer concerns.
See The Aragon Research Globe for Conversational AI, 2021 >
Content AI
Content AI, or Intelligent Digital Content, refers to the use of AI to derive insights from
content where the text, image, or video has been organized in a model that can be mechanically processed. Content AI offers understanding, recommendations, predictions, and analysis of digital content – which provides key insights for enterprises that help them understand what is happening with their content.
For customer-facing content, content AI provides ways to measure interaction and success of certain content, leading to more informed decisions. Content can be created, shared, augmented, reused, and edited more efficiently with the help of Content AI insights.
See The Aragon Research Technology Arc for Intelligent Digital Content, 2021 >
Computer Vision
Computer vision is the use of AI algorithms to understand, analyze, and reconstruct visual scenes from image or video content. It operates through image classification, object detection and tracking, semantic segmentation, image reconstruction, and other capabilities that depend on AI algorithms.
While computer vision is often associated with its early use cases such as self-driving cars and airport security, it has now expanded far beyond these and has gained the power to transform basic workflows that make up your enterprise. It goes beyond other modes of digital image processing to analyze the 3D structure of a scene and identify shapes and edges. Through these capabilities, computer vision can conduct object tracking, object detection, image classification, semantic segmentation, instance segmentation, color recognition, style transfer, human pose estimation, and more. You can only imagine how many doors this opens up for enterprises in a broad range of industries!
Enterprises should follow the computer vision market to see how it may benefit specific industries and use cases, especially as it only continues to expand.
See 5 Trends in Computer Vision, 2021 >
Demo Automation
Automating and streamlining sales processes has been on the rise as new technologies emerge. One area of the sales process that cannot be overlooked is the demonstration of a product or service. Up until recently, demonstrations have been extremely time-consuming to prepare for and deliver. Luckily, product demonstrations are now being automated just like other areas of sales enablement – we have defined this as a new category called ‘demo automation’.
Demos of a product or service are absolutely crucial to validating that it meets the needs and requirements of the buyer. So, automating this process is of great importance to sales organizations so that they can function more efficiently and get deals quicker.
See The Rise of Demo Automation >
Bottom Line
Achieving an intelligent enterprise is a long journey full of intricate pieces – like doing a puzzle. Understanding the technologies that empower intelligence is a big part of it. Aragon has extensive coverage of the four AI technologies covered in this blog, and so many more.
Want to get personalized guidance on your AI strategy and how to put AI to work in your enterprise? Sign up for an Aragon Research Strategy Day.