Cognitive Analytics is the process of applying human-like intelligence to bring together intelligent technologies like semantics, artificial intelligence algorithms, behavioural science with learning techniques such as deep learning and machine learning.
What We Do
Cognitive Analytics bridges the gap between large volumes of information and the need to make real time decisions. A deep understanding of information helps companies draw quick inferences to improve the quality of enterprise suppliers, supplier risks, competitive positioning and adopt a deeper approach in customer service.
In the age of big data, it isn’t just ones and zeros and covers behavioural connections, thoughts, actions, motivations, vision, and predictions. With capabilities like machine learning, image recognition and deep learning, the underlying data helps see in all directions and get to smarter, enriched insights swiftly.
When these technologies are applied, the respective Cognitive application becomes more effective by learning from the interactions with the data and humans, over a period of time. A Cognitive Analytics System searches the entire data within the knowledge base to determine the real-time solutions.
How We Do
Cognitive Analytics helps leverage procurement data within the enterprise and across the supplier network, providing bias-free insights that increase supply chain flexibility and enable real-time changes to negotiate optimal pricing.
Cognitive Analytics evaluates supplier diversity, sustainability, supply chain responsibility to meet expectations of stakeholder and helps increase speed and value.
Exponential technologies like Artificial Intelligence and Machine Learning drive operational efficiencies and re-engineer supplier risk analysis and workflows to reduce third party supplier risk.