Expert.ai, a leader in artificial intelligence (AI) for language comprehension, announced today that it has joined the Qlik Technology Partner Program. Expert.ai enhances Qlik's existing AI and natural language processing (NLP) capabilities to enable business users make sense of unstructured language data and obtain insight into any type of document.
"Language data can provide new insights that enhance analytics and decision making but it is usually ignored. The problem is that understanding language at scale and converting it into actionable intelligence is hard. By integrating our natural language capabilities into Qlik, we simplify access to language data, providing the data practice with simple and powerful ways to develop more comprehensive analytic and predictive models to help the enterprise to gain a competitive edge."
Luca Scagliarini, Chief Product Officer at expert.ai
By leveraging language intelligence supplied by expert.ai and executing Python code directly within Qlik Cloud, Qlik users can simply expand and improve the reach of data analysis and analytics. Advanced natural language processing features provided by the expert.ai API include disambiguation to resolve ambiguities in the text, quickly identify the main entities and relationships between concepts, and assign the correct meaning to each word; categorization to catalog any document out of the box without training thanks to embedded taxonomies, including IPTC media topics and geographic taxonomy; sentiment analysis to determine whether the overall sentiment is positive or negative; and sentiment analysis to determine whether the prevailing emotion is positive or negative.
"Once we began exploring use cases of integrating our technology into Qlik Cloud, we were blown away by how easy it was to get major additional value using our NLP capabilities to structure and analyze unstructured data," said Brian Munz, Product Manager, NL API & Developer Experience at expert.ai. "With a very minimal effort, you can easily enrich data with expert.ai's NLP insights such as sentiment analysis, media topics categorization, PII detection and more. It's exciting to see the amazing things that can happen by combining two world-class products in analytics and natural language understanding."
Organizations may simply integrate unstructured language information into data sets, data pipelines, and analytics for even the most complicated use cases across sectors. For example, email management and other customer-related information to process and analyze all data at once; smart search and conversational analytics based on natural language to streamline data interaction and user intent; and data classification to easily find the right data while knowing its origin and journey. Capabilities include vertical industry applications such as augmented analytics to improve decision making and sophisticated fraud indication analysis in insurance, credit and market risk analytics, compliance, and augmented customer experience in banking and finance.
"As organizations scale their analytics efforts through the cloud, AI and NLP capabilities are incredibly powerful in helping new and existing users at all skill levels drive more insights for action," said Josh Good, VP, Analytics at Qlik. "We look forward to current Qlik customers benefiting from blending expert.ai with our existing augmented capabilities to enhance their overall analytics efforts."