Qlik has introduced new machine learning (ML) capabilities into its cognitive engine and platform. Precedent-based machine learning allows the Qlik cognitive engine to get smarter over time, continually learning from user interaction and feedback as well as other sources. Qlik will bring AI and ML capabilities together with human intuition in a way that truly augments the user’s power to discover.
According to Gartner, Inc., “A new paradigm — augmented analytics — is rapidly gaining traction. Central to this development is the use of ML automation/AI techniques to augment human intelligence and contextual awareness, and to transform data management, analytics and BI as well as many aspects of data science and ML/AI model development and consumption.”
Qlik’s new machine learning capabilities will be utilized in Insight Advisor. Insight Advisor auto-generates and suggests the best analytics and insights to explore based on the overall data set and a user’s search criteria, making insight suggestions increasingly relevant and valuable as the machine learns from the user’s analytics interactions. Users can directly train the machine by manually creating analytics, altering what the machine suggests, and providing direct feedback. The cognitive engine also learns from additional governed and trusted sources such as business rule definitions in global libraries and Qlik artifacts.
“AI brings about a future of possibilities and will make analytics more human, not less, by enabling users to access highly contextual, data-driven insights at their point of need, Qlik allows AI and machine learning to support and complement human decision-making and intuition. This unique integration of man and machine is what Augmented Intelligence is all about. Leveraging AI and machine learning will deliver an enhanced experience where users will benefit from a more efficient, intelligent and streamlined process” said Arun Balasubramanian, Managing Director, Qlik India.
“More and more of our clients are asking for concrete use cases where they can leverage artificial intelligence, Qlik’s augmented intelligence approach is a great example of how to use machine learning to even better bridge the gap between data and the human decision maker by supporting data preparation tasks, choosing the right types of visualizations, and suggesting insights to the user” said Moritz Schieder, Visual Analytics Practice Lead for Deloitte Consulting.
“Enterprises need their analytics partners to deliver innovation that drives user intelligence and improves their ability to more easily get value from data,” said Elif Tutuk, Director of Research at Qlik. “Our extensive investment in AI and machine learning is a game changer for users. It expands their ability to easily move through multiple levels of data exploration with confidence, knowing that the system is learning right alongside them, and that each new insight makes them smarter and can lead to new opportunities.”
Qlik’s AI and ML capabilities help the associative engine be aware of a user’s context at each step in the exploratory process and knows all the data that is associated and unrelated to that context, this is factored into machine driven analysis and insight suggestions to make them more relevant. Qlik delivers the power of AI2, whereby both machine and human become increasingly empowered. Associative Indexing combined with Augmented Intelligence = AI2.
