How to use Reinforcement Learning to Valuate Textual Data

How to use Reinforcement Learning to Valuate Textual Data

Having an accurate dataset is a very important aspect for training neural networks. A model trained on corrupted and faulty data may result in poor performance and getting a clean dataset is not always possible.

Industry : Technology
How to Design a Sustainably Accurate and Fast Model for Text Classification Tasks

How to Design a Sustainably Accurate and Fast Model for Text Classification Tasks

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 …

Industry : Technology
Video Ontology: Applying Deep Learning for Video Understanding

Video Ontology: Applying Deep Learning for Video Understanding

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…

Industry : Others
Building a Data-Driven Culture With AI-powered Insights for All

Building a Data-Driven Culture With AI-powered Insights for All

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.

Industry : Technology
Deep Learning for Enterprise Business Applications – Part 1

Deep Learning for Enterprise Business Applications – Part 1

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.

Industry : Technology
The Rebound to Personalization Post Data Security Norms

The Rebound to Personalization Post Data Security Norms

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

Industry : Retail
Data Lakes: Four Things To Consider for Future Scalability

Data Lakes: Four Things To Consider for Future Scalability

Data is growing in volume, speed and in types. This is creating challenges for storing data and using it when required. To overcome this challenge, organizations are embarking on data lake journeys.

Industry : Technology
Brand Tracking With Digital Data

Brand Tracking With Digital Data

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.

Industry : Technology
Data as a Strategy: The New Thinking to Drive Innovation

Data as a Strategy: The New Thinking to Drive Innovation

Organizations with top-down decisions have often found that leveraging of data to drive the decision-making process is lower. The concept of Enterprise Data Marketplace propels employees to actively seek and use data…

Industry : Technology
Product Attribute Optimization Using Social Data

Product Attribute Optimization Using Social Data

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.

Industry : Consumer Goods & Services