Artificial Intelligence (AI) has delivered immense capabilities to organizations in many ways. For tasks which, with human effort, consume a lot more time can now be performed within minutes or seconds with AI-powered technologies and platforms. These technologies assist organizations with everything from analyzing content in any form—text, video, or image to sensing emotions contained in a document. An organization that’s making great strides in the AI space with similar capabilities and an innovative outlook is Inovia Group. Operating as a niche player in AI market with groundbreaking solutions, the company serves sectors that have a huge amount of data such as banking, insurance, and telecom. These sectors have huge data volumes consisting of information in various forms which needs to be analyzed for decision making and predictive analysis. Inovia brings AI technologies to perform all of it without the need to invest long hours and immense human effort, assuring better productivity. “There is unimaginable, uncountable textual information in structured or unstructured way so we provide AI solutions which are based on NLP (Natural Language Processing) or NLU (Natural Language Understanding) and we apply machine learning with deep learning to precisely understand and analyze the content,” adds Andreas Rosenqvist, CEO, Inovia Group.
Ever since its humble beginning in 2012, the company operates as an AI partner working with two types of learning—data-driven learning and interactive learning. Inovia serves as a specialized player in the AI space and holds the experience of assisting a vast client base specifically in the Northern part of Europe.
Operating as a niche player in AI market with groundbreaking solutions, the company serves sectors that have large amounts of data such as banking, insurance, and telecom
The company brings an extensive product and solution portfolio, majorly consisting of AI-based, big data, and deep learning solutions. It offers products developed in open source built on top of the company’s big data stack.
Inovia also has a cognitive solution named cognitive help desk, which serves as a digital advisor for an end user to troubleshoot and solve users’ problems without any human effort. Through this help desk, the users can obtain responses to various questions. These responses are the output summarization and classification performed by the Cognitive help desk. Rosenqvist emphasizes that the digital advisor employ the human level of accuracy to summarize the content and can guide and tell the users about the missing information and then ask them to fill that information. Another groundbreaking technology that Inovia brings to the market is sentiment analysis, which not many players in the market assist with—especially when it comes to languages like Swedish along with other European languages. The company provides the ability to analyze various types of content and understand the emotions contained in it, through NLP. Harinder Bedi, a Specialist in Inovia Group’s AI Development Team says, “Our cognitive solutions suits well on various use cases such as customer bank phone calls where it can perform desired actions depending on the nature of the conversation. Our product is capable of understanding the meaning and the sentiment of any content in real-time. In short, we create world-class AI solutions with NLU technologies. We basically create an AI solution with NLP.” The company uses deep learning to decode the call, extracts the call into text, applies additional AI capabilities to classify and summarize the information obtained, and reports if it’s positive or negative.
The company with various AI capabilities has come a long way with a lot of distinguishing factors and considers there is a lot to be done in this field. Gearing up for the same, the Inovia team will be focusing on two more sectors that generate the humungous amount of data—healthcare and call centers. Inovia envisions continuing its legacy of delivering innovation with each of its offerings and plans to expand to new geographies in the near future.