Two weeks ago, we held a webinar on the business use case of Watson within the insurance industry, highlighting the business savings of artificial intelligence in customer support and self-service.
Artificial intelligence spending is skyrocketing, with worldwide spending expected to hit $47 billion in 2020, according to research from IDC. Whether it’s insurance, higher education, or eCommerce, the shift to such technologies is rooted in the interest of more agile, efficient, data-driven, and people-centric initiatives. With this data, organizations can identify new market opportunities and predict customer requirements, further extending their brand while creating new revenue opportunities.
The implementation of AI however, does not need to be an overwhelming project as some may imagine. One alternative is App Connect, IBM’s cloud-based application integration solution that adds artificial intelligence in just a few clicks. With no code needed, end-users can leverage an intuitive user interface to build powerful data flows that serve critical business applications.
App Connect links to the following connectors in Watson:
- Watson Tone Analyzer: uses linguistic analysis to detect emotional, social, and language tones in written text
- Watson Retrieve and Rank: can surface the most relevant information from a collection of documents
- Watson Language Translator: uses Watson to translate text from one language to another
- Watson Natural Language Classifier: helps your application understand the language of short texts, and make predictions about how to handle them
- IBM Watson Campaign Automation: helps manage email marketing and lead-generation activities
With each of these connectors, organizations can better serve their customers and ask for feedback. The right feedback ultimately helps internal support training and external facing messaging.
What artificial intelligence use cases are you seeing that are possible with App Connect? Let us know in the comments section below.
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