Text classification is a common problem in natural language processing, and its task is to assign a pre-defined category to a given text sequence. The key step in solving it is to learn the text representation. Mainly, there are two solutions: to use a pre-trained model or not …
The past decade has seen rapid advancements in the area of computer vision, with deep neural networks, particularly convolutional neural networks (CNNs), achieving remarkable results in multiple areas of image processing. The breakthrough success of deep learning for images has sparked more recent…
Organizations have been investing in Analytics and Business Intelligence (BI) for many years now. However, a common problem they are facing is that they are still trying to solve business problems on an ad-hoc basis. For instance, when a senior executive asks his BI analyst the reason behind the drop in sales, the analyst goes back, builds a regression model and then presents the top two factors that influenced the drop.
Deep Learning has huge implications for enterprise business applications that remain largely unexplored. This paper identifies four areas of impact – Data Pre-Processing, Disaster Recovery, Application Software Delivery, and Change Management.
Between macro strategies for segmentation and individual-level personalization, lies a huge area of opportunity for businesses to create live, shifting micro-segments of consumers based on their immediate or recent behavioral characteristics. And the source of data for these micro-segments is not necessarily an external social or digital space
As digital media data analytics and allied digital cognitive capabilities evolve, brand tracking goes live – straight from the consumer’s consciousness. Social data, combined with Web Analytics data and customer data available to an organization, provides compelling snapshot of consumer opinion, experience, and engagement with a brand.
Product offering has no less part to play in building market share, brand image and the very much sought after, customer loyalty. A product is nothing but collection of multiple attributes to serve the functional, emotional and aspirational needs of users.