Category blogs - Featured

Cognitive Product Support:Next Phase of Intelligent Support Services
Today, customized user experiences and burgeoning demands are two major expectations from customers in an As-a-Service economy. Hence,the same anticipations have been building up for the technology sector. Read how Cognitive Product Support could unleash a number of far-reaching impacts.
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Smart Cities Can Improve The Quality Of Urban Life

UnBox.ai, Art of testing AI applications
Adoption of AI is becoming a common phenomenon across the industry. Companies are in different stages of AI maturity and depending on the level of adoption they are seeing varying levels of impact. While there is lot of excitement in the rapid adoption of AI, many companies may be oblivious of some of the inherent risks regarding AI models. Stakeholders are increasingly consuming insights from AI applications (less critical to mission critical) for decision making and it can have larger implications, unless it is managed well. History is privy to instances when things have gone wrong and the 2008 financial crisis is a case in point.

Slippage and Failure Detection in Partner Eco System
A platform enabled ecosystem of partners where interaction takes place in multiple ways and value creation is done through collaboration and co-creation is the ideal means to foster a relationship. The positive impact generated by such an ecosystem leads to higher KPI values & results in higher dollar value generation and saving. HCL has developed its time-tested framework for partner ecosystem assessment, building, and management.
Predictive and Prescriptive Analytics-based Solution helps Partners take correct decisions based on Analytics based outcomes. This concept should have an interactive and intuitive visual interface to iteratively ask and answer questions and discover new insights. Slippage detection can tell any partner in the ecosystem what is the predicted chance of failure if they want to do transactions with other partners in the ecosystem for a specific type of transactions. Even the details of type of failure can also be predicted. Based on this, partners can choose their right counterpart for specific work.