Qlik acquired Kyndi to add support for the usage of unstructured data to train AI models and applications and inform other data products. This acquisition has given Qlik pre-built domain models and guided analytics, all while ensuring data security and fostering collaboration.

In this article, we have outlined how Kyndi has helped Qlik in revolutionizing natural language processing to automating insights generation enhancing Qlik's capabilities with cutting-edge AI technologies.

Enhanced Analytical Capabilities:

Kyndi offers enhanced analytical capabilities through various features:

• Natural Language Processing (NLP): Users can interact with data intuitively using natural language queries, simplifying data exploration.
• Advanced Machine Learning: Kyndi's machine learning algorithms automate insights, identify patterns, and predict outcomes, enhancing Qlik's data analysis.
• Cognitive Automation: Users can automate repetitive tasks with Kyndi's cognitive automation features, reducing manual labor and allowing more time for strategic analysis.

Improved Data Understanding:

Kyndi facilitates better comprehension of data through:

• Automated Insight Generation: An AI-driven insights engine automatically generates meaningful insights, aiding users in identifying opportunities and risks more effectively.
• Ontology and Knowledge Graph: Kyndi's ontology and knowledge graph organize and connect data, offering a comprehensive view of the business environment.
• Reasoning and Explanation: Users gain confidence in results as Kyndi's reasoning capabilities explain how insights are derived, enabling informed decision-making.

Accelerated Time to Value:

Kyndi expedites value realization with:

• Pre-built Domain Models: Pre-built domain models for specific industries reduce setup time and effort for data analysis.
• Guided Analytics: Kyndi's guided analytics suggest relevant insights and questions, aiding users in navigating the data landscape more efficiently.
• Data Governance and Security: Integration with Qlik's data governance and security framework ensures the protection of sensitive data and compliance with industry regulations.

Simplified Collaboration and Insight Sharing:

Kyndi streamlines collaboration and insight sharing through:

• Collaborative Workspaces: Team members can collaborate on data analysis projects in real-time, facilitating insight sharing and accelerating decision-making.
• Automated Insight Distribution: Kyndi can automatically distribute insights to relevant stakeholders, ensuring key findings reach the appropriate individuals in a timely manner.
• Enhanced Data Literacy: Kyndi's intuitive user interface and natural language capabilities make data analysis accessible to users of all skill levels, promoting data literacy across the organization.

Author : Madhu Kittur Analyst at Quadrant Knowledge Solutions