5 Must-Have AI Techniques for Enterprise Applications
Mobile apps are now part and parcel of every enterprise strategy. In fact, more than half of the enterprises in the US believe mobile apps are now integral to business growth and productivity. But technology has a limited timeline and what's cutting edge may turn primitive tomorrow. Of Late, Artificial Intelligence or AI is seen as the next disruptive technology. Mobile App development companies stress that leveraging AI capabilities will give a business a competitive advantage by converting unstructured raw data into insights easily.
Here are 5 AI techniques which are an essential part of business application strategies in the coming decade:
- Natural Language Generation
Natural language generation is another key AI feature that promises incremental value from business data. Business can use NLG to convert data into stories easily. NLG promises a significant improvement in customer engagements through valuable insights from multiple data point part of customer interaction, purchase behavior, etc. - Speech Recognition Technology
We are already familiar with the capabilities of speech recognition. Speech recognition is at the crux of new products like Alexa which have multiple use cases. Enterprise-grade apps can also benefit from this completely new mode of communication. They can integrate speech recognition for making customer service and experience more personalized and effective. - Facial Emotion Recognition
Facial emotion recognition is another feature that enterprise apps can use for multiple use cases. The primary among these is market research. Emotions are read using AI technique that can easily see through subtle changes in human voice and speech signals. Companies are also using emotion recognition to understand existing and potential customers better for stronger relationships. - NLP (Natural Language Processing)
NLP is still in its infancy but it is seen as a game-changing AI tool for healthcare and insurance sector. In the past, enterprises have failed to drive business value from multiple data resources, but with NLP data gathering and analysis will be affordable and effective. Real-time translation, insights, feedback, etc. make NLP a powerful AI tool for future business mobility and productivity. - ChatBots or Voice Managers
Chatbots are slowly gaining popularity as an effective business communication tool. Chatbots can easily simulate human behavior and language for automated customer service and engagements. Chatbots save time, money and most importantly they reduce error.
Artificial intelligence is disruptive and early adopters will enjoy a clear competitive advantage over the rest. Enterprises that implement AI techniques will enjoy productivity, efficiency, and profitability. Custom application development services believe that AI benefits which are presently concentrated around customer service, customer engagement and marketing will slowly expand to other business domains too. The primary among these would be in supply chain management, production management, and human resource management.