Blog Posts

Businesses are racing to keep up with consumer demands and technological innovations.  Adoption, innovation, and customer acceptance of intelligent agents are increasing. Both businesses and customers are recognizing the value of virtual agents in terms of customer service and support.Cognitive conversational bots power customer relationship management that allow businesses to drive customer advocacy through increased customer engagement, transaction, and satisfaction. Rather than keyword matching with regular expressions done in chatbots, Cognitive Bots (CogBot) listen, converse with natural language, understand and […]

Take a Safe Drive

By: Innovation Incubator
08 Feb, 2017 / Automotive

The road sign plays a significant role in facilitating driving in a remarkable way that’s safe for the vehicle motive force and alternative road users. The information given by the road signs captured as into colors and shapes for simple identification. Most of the road accidents attributes to either reduced attention of drivers or ignoring the road signs. The weather conditions like rain and fog also have been reported as a major cause for accidents. Therefore, the recognition of road […]

Why adaptive learning for education?

By: Innovation Incubator
02 Feb, 2017 / Cognitive Computing

Personalized learning is one of the top buzzwords in education now; it suggests a host of different learning methods that are institution-driven. Students will be in control not only on when they learn, but also demand that they contribute to their learning through discussions and collaboration, creating content while doing so. This student-driven phenomenon suggests that schools and higher education institutions will need to respond by creating learning programs that acknowledge that the learner is seeking this kind of personalized […]

Market with MACHINES

By: Innovation Incubator
20 Jan, 2017 / Cognitive Computing

Until recently, businesses were blind to the valuable insights hidden in unstructured content. Despite millions of customer data available, leveraging this data to understand the needs and to do target marketing is becoming difficult for the businesses. A recent study by DataMeer found customer analytics dominate big data use in sales and marketing departments, supporting the four key strategies of increasing customer acquisition, reducing customer churn, increasing revenue per customer and improving existing products.” As a result, the businesses started […]

Prevention is better than Cure

By: Innovation Incubator
06 Jan, 2017 / Health Care

Early identification of symptoms can help depreciate the cost of curing the disease or even preventing it. Healthcare providers started looking for reliable preventive healthcare models, which in turn can lead to tremendous cost savings and enhanced health outcomes. Predicting the possibility of disease occurrence is a vital factor in aiding healthcare providers to improve patient health care. The challenge is how to integrate the continuously flowing clinical data from various data sources and Machine Learning provides a promising approach […]

Case Study: Heat Map in Real Estate

By: Innovation Incubator
14 Dec, 2016 / Real Estate

Machines learning to care us

By: Innovation Incubator
08 Dec, 2016 / Cognitive Computing

Machine learning and Artificial intelligence are addressing some of the biggest challenges in healthcare, including real-time clinical decision support, precision medicine, population health management, and even curing cancer. There may be a compelling role for machine learning in personally engaging with patients to improve the management of chronic health conditions such as diabetes, metabolic syndrome, etc. For successfully managing these conditions patients need to consistently manage their daily medical activities. To make this more effective, care management should be personalized […]

Machine Learning – The New Retailer

By: Innovation Incubator
02 Dec, 2016 / Cognitive Computing

Retail has always been about dealing with huge volume of growing data that are ready to be scrutinized for real time insights to boost and speed up decision-making. Use of machine learning is quite invasive in the retail sector to deeply increase sales and customer engagement through the application of predictive analytics for right recommendations, predicting customer churn, lead and ad scoring, analyzing customer behavior etc. In addition, Machine learning algorithms can support pricing, inventory forecasting, cost reduction through specific […]

Case Study: Customer Reactivation Model

By: Innovation Incubator
01 Dec, 2016 / Cognitive Computing

Let Machines Decide Your Advertisement

By: Innovation Incubator
30 Nov, 2016 / Cognitive Computing

Machine learning has been evolving over things that humans do the best. Take art, for example Music, Customer service, Games, Financial trading, Healthcare, News reporting, And of course, Marketing and advertising. As advertising is getting more personalized and customers turning to expect a unique brand experience, machine learning helps to target accurate display advertisements and personalized communication. This means that the advertisers within the short time can present the right ads to the right customers, saving time and money and […]